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22
| prompt_syn_knowledge
stringlengths 2.74k
17.8k
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|---|---|---|---|---|---|
flan_v2
|
flan_v2_23
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
QUESTION: answer this: when did the chinese first use gunpowder as a weapon??
ANS: 904
input: What is the answer to this question? who is the original artist of proud mary?
output: John Fogerty
In: when did the supreme court rule that bus segregation was unconstitutional??
Out: December 1956
Please answer this: who is going to be in the world cup final?
France
Q: Answer this question:
where did the ancient civilization of sumer develop??
A: modern-day southern Iraq
<|start-PI|>Question: when did the first episode of malcolm in the middle air?<|end-PI|>
Answer:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>January 9, 2000<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nQUESTION: answer this: when did the chinese first use gunpowder as a weapon??\n\nANS: 904\n\ninput: What is the answer to this question? who is the original artist of proud mary?\n\noutput: John Fogerty\n\nIn: when did the supreme court rule that bus segregation was unconstitutional??\n\nOut: December 1956\n\nPlease answer this: who is going to be in the world cup final?\n\nFrance\n\nQ: Answer this question:\n\nwhere did the ancient civilization of sumer develop??\n\nA: modern-day southern Iraq\n\n<|start-PI|>Question: when did the first episode of malcolm in the middle air?<|end-PI|>\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>The first episode of the popular American sitcom Malcolm in the Middle aired on January 9, 2000. The show was created by Linwood Boomer and starred Frankie Muniz as Malcolm, a gifted teenager growing up in a dysfunctional family. The show was known for its witty humor and relatable characters, and it went on to run for seven seasons. The pilot episode, titled \"Pilot,\" introduced audiences to the Malcolm family and set the tone for the rest of the series.<|start-KFI|>January 9, 2000<|end-KFI|>"}
| 275 | 0 |
flan_v2
|
flan_v2_27
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
Problem: Background: King was born in Long Beach, California, into a conservative Methodist family, the daughter of Betty (nee Jerman), a housewife, and Bill Moffitt, a firefighter. Billie Jean's family was athletic. Her mother excelled at swimming, her father played basketball, baseball and ran track. Her younger brother, Randy Moffitt, became a Major League Baseball pitcher, pitching for 12 years in the major leagues for the San Francisco Giants, Houston Astros, and Toronto Blue Jays.
Context: In 1982, King was 38 years old and the twelfth-seed at Wimbledon. In her third round match with Tanya Harford of South Africa, King was down 7-5, 5-4 (40-0) before saving three match points to win the second set 7-6(2) and then the third set 6-3. King said in her post-match press conference, "I can't recall the previous time I have been so close to defeat and won. When I was down 4-5 and love-40, I told myself, 'You have been here 21 years, so use that experience and hang on.'" In the fourth round, King upset sixth-seeded Australian Wendy Turnbull in straight sets. King then upset third-seeded Tracy Austin in the quarterfinals 3-6, 6-4, 6-2 to become the oldest female semifinalist at Wimbledon since Dorothea Douglass Lambert Chambers in 1920. This was King's first career victory over Austin after five defeats and reversed the result of their 1979 Wimbledon quarterfinal. King said in her post-match press conference, "Today, I looked at the scoreboard when I was 2-0 in the third set and the '2' seemed to be getting bigger and bigger. In 1979, when I was up 2-0 at the same stage, I was tired and didn't have anything left. But today I felt so much better and was great mentally." Two days later in the semifinals, which was King's 250th career match at Wimbledon in singles, women's doubles, and mixed doubles, the second-seeded Chris Evert defeated King on her fifth match point 7-6(4), 2-6, 6-3. King was down a set and 2-1 in the second set before winning five consecutive games to even the match. King explained that she actually lost the match in the first set by failing to convert break points at 15-40 in the second and fourth games. She reached the semifinals in her final appearance at Wimbledon, losing to Andrea Jaeger 6-1, 6-1 after beating Kathy Jordan in the quarterfinals, seventh-seeded Wendy Turnbull in the fourth round, and Rosemary Casals, her longtime doubles partner, in the third round. Jaeger claims that she was highly motivated to defeat King because King had defeated Turnbull, a favorite of Jaeger's, and because King refused a towel from an attendant just before her match with Jaeger, explaining, "I'm not going to sweat in this match." King became the oldest WTA player to win a singles tournament when she won the Edgbaston Cup grass court tournament in Birmingham at 39 years, 7 months and 23 days after a straight-sets victory in the final against Alycia Moulton. The final official singles match of King's career was a second round loss to Catherine Tanvier at the 1983 Australian Open.
Question: Did she play at Wimbledon or any other well known events during these years?
Answer: In 1982, King was 38 years old and the twelfth-seed at Wimbledon.
Background: Daniel Irvin Rather, Jr. was born on October 31, 1931, in Wharton County, Texas, the son of Daniel Irvin Rather, Sr., a ditch digger, and the former Byrl Veda Page. The Rathers moved to Houston, where Dan attended Love Elementary School and Hamilton Middle School. He graduated in 1950 from John H. Reagan High School in Houston. In 1953, he earned a bachelor's degree in journalism from Sam Houston State University where he was editor of the school newspaper, The Houstonian.
Context: On September 8, 2004, Rather reported on 60 Minutes Wednesday that a series of memos critical of President George W. Bush's Texas Air National Guard service record had been discovered in the personal files of Lt. Bush's former commanding officer, Lt. Col. Jerry B. Killian. Once copies of the documents were made available on the Internet, their authenticity was quickly called into question. Much of this was based on the fact that the documents were proportionally printed and displayed using other modern typographic conventions usually unavailable on military typewriters of the 1970s. The font used on the documents has characteristics that exactly match standard font features of Microsoft Word. This led to claims that the memos were forgeries. The accusations then spread over the following days into mainstream media outlets including The Washington Post, The New York Times, and the Chicago Sun-Times. Rather and CBS initially defended the story, insisting that the documents had been authenticated by experts. CBS was contradicted by some of the experts it originally cited, and later reported that its source for the documents - former Texas Army National Guard officer Lt. Col. Bill Burkett - had misled the network about how he had obtained them. On September 20, CBS retracted the story. Rather stated, "If I knew then what I know now, I would not have gone ahead with the story as it was aired, and I certainly would not have used the documents in question." The controversy has been referred to by some as "Memogate" and "Rathergate." Following an investigation commissioned by CBS, CBS fired story producer Mary Mapes and asked three other producers connected with the story to resign. Many believe Rather's retirement was hastened by this incident. On September 20, 2007, Rather was interviewed on Larry King Live commenting "Nobody has proved that they were fraudulent, much less a forgery. ... The truth of this story stands up to this day."
Question: <|start-PI|>Did Dan Rather do a story on the Killian documents?<|end-PI|>
Answer:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>Rather reported on 60 Minutes Wednesday<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nProblem: Background: King was born in Long Beach, California, into a conservative Methodist family, the daughter of Betty (nee Jerman), a housewife, and Bill Moffitt, a firefighter. Billie Jean's family was athletic. Her mother excelled at swimming, her father played basketball, baseball and ran track. Her younger brother, Randy Moffitt, became a Major League Baseball pitcher, pitching for 12 years in the major leagues for the San Francisco Giants, Houston Astros, and Toronto Blue Jays.\nContext: In 1982, King was 38 years old and the twelfth-seed at Wimbledon. In her third round match with Tanya Harford of South Africa, King was down 7-5, 5-4 (40-0) before saving three match points to win the second set 7-6(2) and then the third set 6-3. King said in her post-match press conference, \"I can't recall the previous time I have been so close to defeat and won. When I was down 4-5 and love-40, I told myself, 'You have been here 21 years, so use that experience and hang on.'\" In the fourth round, King upset sixth-seeded Australian Wendy Turnbull in straight sets. King then upset third-seeded Tracy Austin in the quarterfinals 3-6, 6-4, 6-2 to become the oldest female semifinalist at Wimbledon since Dorothea Douglass Lambert Chambers in 1920. This was King's first career victory over Austin after five defeats and reversed the result of their 1979 Wimbledon quarterfinal. King said in her post-match press conference, \"Today, I looked at the scoreboard when I was 2-0 in the third set and the '2' seemed to be getting bigger and bigger. In 1979, when I was up 2-0 at the same stage, I was tired and didn't have anything left. But today I felt so much better and was great mentally.\" Two days later in the semifinals, which was King's 250th career match at Wimbledon in singles, women's doubles, and mixed doubles, the second-seeded Chris Evert defeated King on her fifth match point 7-6(4), 2-6, 6-3. King was down a set and 2-1 in the second set before winning five consecutive games to even the match. King explained that she actually lost the match in the first set by failing to convert break points at 15-40 in the second and fourth games. She reached the semifinals in her final appearance at Wimbledon, losing to Andrea Jaeger 6-1, 6-1 after beating Kathy Jordan in the quarterfinals, seventh-seeded Wendy Turnbull in the fourth round, and Rosemary Casals, her longtime doubles partner, in the third round. Jaeger claims that she was highly motivated to defeat King because King had defeated Turnbull, a favorite of Jaeger's, and because King refused a towel from an attendant just before her match with Jaeger, explaining, \"I'm not going to sweat in this match.\" King became the oldest WTA player to win a singles tournament when she won the Edgbaston Cup grass court tournament in Birmingham at 39 years, 7 months and 23 days after a straight-sets victory in the final against Alycia Moulton. The final official singles match of King's career was a second round loss to Catherine Tanvier at the 1983 Australian Open.\nQuestion: Did she play at Wimbledon or any other well known events during these years?\nAnswer: In 1982, King was 38 years old and the twelfth-seed at Wimbledon.\nBackground: Daniel Irvin Rather, Jr. was born on October 31, 1931, in Wharton County, Texas, the son of Daniel Irvin Rather, Sr., a ditch digger, and the former Byrl Veda Page. The Rathers moved to Houston, where Dan attended Love Elementary School and Hamilton Middle School. He graduated in 1950 from John H. Reagan High School in Houston. In 1953, he earned a bachelor's degree in journalism from Sam Houston State University where he was editor of the school newspaper, The Houstonian.\nContext: On September 8, 2004, Rather reported on 60 Minutes Wednesday that a series of memos critical of President George W. Bush's Texas Air National Guard service record had been discovered in the personal files of Lt. Bush's former commanding officer, Lt. Col. Jerry B. Killian. Once copies of the documents were made available on the Internet, their authenticity was quickly called into question. Much of this was based on the fact that the documents were proportionally printed and displayed using other modern typographic conventions usually unavailable on military typewriters of the 1970s. The font used on the documents has characteristics that exactly match standard font features of Microsoft Word. This led to claims that the memos were forgeries. The accusations then spread over the following days into mainstream media outlets including The Washington Post, The New York Times, and the Chicago Sun-Times. Rather and CBS initially defended the story, insisting that the documents had been authenticated by experts. CBS was contradicted by some of the experts it originally cited, and later reported that its source for the documents - former Texas Army National Guard officer Lt. Col. Bill Burkett - had misled the network about how he had obtained them. On September 20, CBS retracted the story. Rather stated, \"If I knew then what I know now, I would not have gone ahead with the story as it was aired, and I certainly would not have used the documents in question.\" The controversy has been referred to by some as \"Memogate\" and \"Rathergate.\" Following an investigation commissioned by CBS, CBS fired story producer Mary Mapes and asked three other producers connected with the story to resign. Many believe Rather's retirement was hastened by this incident. On September 20, 2007, Rather was interviewed on Larry King Live commenting \"Nobody has proved that they were fraudulent, much less a forgery. ... The truth of this story stands up to this day.\"\nQuestion: <|start-PI|>Did Dan Rather do a story on the Killian documents?<|end-PI|>\nAnswer:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Dan Rather, a renowned American journalist, reported on a controversial story involving the Killian documents on September 8, 2004. The story, which aired on 60 Minutes Wednesday, claimed to have uncovered memos critical of President George W. Bush's Texas Air National Guard service record. These documents were allegedly found in the personal files of Lt. Col. Jerry B. Killian, Bush's former commanding officer. Rather presented the story as a major expos\u00e9, but it quickly faced scrutiny due to questions about the authenticity of the documents. The controversy surrounding the story led to a retraction by CBS and had significant consequences for Rather's career.<|start-KFI|>Rather reported on 60 Minutes Wednesday<|end-KFI|>"}
| 1,479 | 0 |
flan_v2
|
flan_v2_31
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
Problem: Name the Confederate warship built at Birkenhead and sunk off Cherbourg.
======
A: css alabama
Q: Who wrote the novels 'Resurrection Men' and 'Fleshmarket Close'?
A: ian rankin
Problem: Fanny Brawne was betrothed to which English romantic poet?
Answer: john keats
Q: General Elections are traditionally held on which day of the week in Britain?
-----
A: thursday
Q: Halloumi cheese originated on which island?
What is the answer?
A: cyprus
Mei Li:
"<|start-PI|>Who directed the films, ""Bugsy Malone"" (1976) and Midnight Express (1978)?"?
Shuai Zheng:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>alan parker<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nProblem: Name the Confederate warship built at Birkenhead and sunk off Cherbourg.\n======\nA: css alabama\n\n\nQ: Who wrote the novels 'Resurrection Men' and 'Fleshmarket Close'?\nA: ian rankin\n\n\nProblem: Fanny Brawne was betrothed to which English romantic poet?\nAnswer: john keats\n\n\nQ: General Elections are traditionally held on which day of the week in Britain?\n-----\nA: thursday\n\n\nQ: Halloumi cheese originated on which island?\nWhat is the answer?\n\nA: cyprus\n\n\nMei Li:\n\"<|start-PI|>Who directed the films, \"\"Bugsy Malone\"\" (1976) and Midnight Express (1978)?\"?\nShuai Zheng:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Alan Parker is a British film director, writer, and producer. He is known for his versatility in directing a wide range of film genres. Parker's career spans over four decades, with many notable works in the film industry. Two of his most famous films are \"Bugsy Malone\" (1976) and \"Midnight Express\" (1978). \"Bugsy Malone\" is a musical comedy film that features a cast of child actors, including Scott Baio and Jodie Foster. It was Parker's feature film debut and gained critical acclaim for its unique approach to the gangster movie genre. \"Midnight Express\" is a prison drama film based on the true story of Billy Hayes, an American who was imprisoned in Turkey for drug smuggling. The film won several Academy Awards and solidified Parker's reputation as a talented director.<|start-KFI|>alan parker<|end-KFI|>"}
| 372 | 0 |
flan_v2
|
flan_v2_51
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
Answer this question: where did the third punic war take place??
Tunisia
Answer this question: who played the leprechaun in leprechaun in the hood??
Warwick Davis
Answer this question: secret train tunnel from grand central to the waldorf-astoria??
Track 61
<|start-PI|>Answer this question: where do tornadoes happen most in the world??<|end-PI|>
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>United States<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nAnswer this question: where did the third punic war take place??\n\nTunisia\n\n\nAnswer this question: who played the leprechaun in leprechaun in the hood??\n\nWarwick Davis\n\n\nAnswer this question: secret train tunnel from grand central to the waldorf-astoria??\n\nTrack 61\n\n\n<|start-PI|>Answer this question: where do tornadoes happen most in the world??<|end-PI|>\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Tornadoes are a global phenomenon, but they are most frequent and intense in certain regions. The United States experiences the highest frequency of tornadoes due to its unique geography and climate. The combination of warm, moist air from the Gulf of Mexico and cool, dry air from Canada creates a volatile mixture that can lead to thunderstorms and tornadoes. The central and southern Great Plains, commonly known as Tornado Alley, are particularly prone to tornadoes due to the collision of these air masses. The region's flat terrain and lack of natural barriers also allow tornadoes to travel long distances without being disrupted. Other countries, such as Canada, China, and Bangladesh, also experience significant numbers of tornadoes, but the United States remains the global leader in tornado frequency and intensity.<|start-KFI|>United States<|end-KFI|>"}
| 277 | 0 |
flan_v2
|
flan_v2_69
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
QUESTION: answer this: what was the phony name that armand and val called their maid agadore during the senator's visit??
ANS: Spartacus
input: What is the answer to this question? what are three functions of the skin or integument?
output: Protect the body from dehydration
In: who has the most fifa world cup wins??
Out: Brazil
Please answer this: who won the wizard tournament in wizards of waverly place?
Alex
Q: Answer this question:
who plays jennifer in back to the future 1??
A: Claudia Wells
In: <|start-PI|>who played uncle jesse in the dukes of hazzard movie??<|end-PI|>
Out:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>Willie Nelson<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nQUESTION: answer this: what was the phony name that armand and val called their maid agadore during the senator's visit??\n\nANS: Spartacus\n\ninput: What is the answer to this question? what are three functions of the skin or integument?\n\noutput: Protect the body from dehydration\n\nIn: who has the most fifa world cup wins??\n\nOut: Brazil\n\nPlease answer this: who won the wizard tournament in wizards of waverly place?\n\nAlex\n\nQ: Answer this question:\n\nwho plays jennifer in back to the future 1??\n\nA: Claudia Wells\n\nIn: <|start-PI|>who played uncle jesse in the dukes of hazzard movie??<|end-PI|>\n\nOut:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Uncle Jesse is a beloved character from the popular TV show \"The Dukes of Hazzard.\" In the 2005 film adaptation of the series, the role of Uncle Jesse Duke was played by a well-known actor and musician. This actor is known for his distinctive voice and has had a long career in both music and film. He has appeared in numerous movies and TV shows, often playing rugged, country-style characters.<|start-KFI|>Willie Nelson<|end-KFI|>"}
| 277 | 0 |
flan_v2
|
flan_v2_74
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
QUESTION: Trivia question: Nicole Kidman married which country singer in 2006?
****
ANS: keith urban
Mei Li:
In which 2013 film did Ben Stiller reprise a role played by Danny Kaye in a 1949 film??
Shuai Zheng:
secret life of walter mitty
Input question: Ratu Epeli Nailatakau was sworn in as president of which country?
Output answer: fiji
question: Answer this question.
What pieces of sporting equipment are 28 inches high and 9 inches wide
answer: cricket wickets
question: What is the answer: What is the correct title for the country known as San Marino?
answer: most serene republic of san marino
<|start-PI|>question: What is the answer: Which American group has had hit albums in the 21st. century with 'Thirteen Tales From Urban Bohemia' and 'Werlcome To The Monkey House'?<|end-PI|>
answer:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>dandy warhols<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nQUESTION: Trivia question: Nicole Kidman married which country singer in 2006?\n****\nANS: keith urban\n\n\nMei Li:\nIn which 2013 film did Ben Stiller reprise a role played by Danny Kaye in a 1949 film??\nShuai Zheng:\nsecret life of walter mitty\n\n\nInput question: Ratu Epeli Nailatakau was sworn in as president of which country?\n\nOutput answer: fiji\n\n\nquestion: Answer this question.\n\nWhat pieces of sporting equipment are 28 inches high and 9 inches wide\nanswer: cricket wickets\n\n\nquestion: What is the answer: What is the correct title for the country known as San Marino?\nanswer: most serene republic of san marino\n\n\n<|start-PI|>question: What is the answer: Which American group has had hit albums in the 21st. century with 'Thirteen Tales From Urban Bohemia' and 'Werlcome To The Monkey House'?<|end-PI|>\nanswer:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>The Dandy Warhols are an American rock band formed in Portland, Oregon in 1994. The band gained popularity in the 1990s and early 2000s with their unique blend of psychedelic rock, garage rock, and power pop. They are known for their catchy hooks, witty lyrics, and eclectic style. The Dandy Warhols have released several successful albums, including 'Thirteen Tales From Urban Bohemia' in 2000 and 'Welcome to the Monkey House' in 2003. These albums featured hit singles like 'Bohemian Like You' and 'We Used to Be Friends', which became a theme song for the TV show 'Veronica Mars'. The band's music often incorporates elements of 1960s psychedelia, 1970s glam rock, and 1980s new wave, making them a standout in the alternative rock scene of the early 21st century.<|start-KFI|>dandy warhols<|end-KFI|>"}
| 435 | 0 |
flan_v2
|
flan_v2_83
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
Input: Read this: The University of the Republic is the country's largest and most important university, with a student body of 81,774, according to the census of 2007. It was founded on 18 July 1849 in Montevideo, where most of its buildings and facilities are still located. Its current Rector is Dr. Rodrigo Arocena. The university houses 14 faculties (departments) and various institutes and schools. Many eminent Uruguayans have graduated from this university, including Carlos Vaz Ferreira, José Luis Massera, Gabriel Paternain, Mario Wschebor, Roman Fresnedo Siri, Carlos Ott and Eladio Dieste
Question: In 2007 the University of the Republic had a student body of how many people?
Output: 81,774
QUES: The permanent snow cover necessary for glacier formation is affected by factors such as the degree of slope on the land, amount of snowfall and the winds. Glaciers can be found in all latitudes except from 20° to 27° north and south of the equator where the presence of the descending limb of the Hadley circulation lowers precipitation so much that with high insolation snow lines reach above 6,500 m (21,330 ft). Between 19˚N and 19˚S, however, precipitation is higher and the mountains above 5,000 m (16,400 ft) usually have permanent snow.
Why do mountains between 19N and 19S tend to have snow?
What is the answer?
ANS: precipitation is higher
QUES: Despite conflicts with the rival monarchic Chetnik movement, Tito's Partisans succeeded in liberating territory, notably the "Republic of Šice". During this period, Tito held talks with Chetnik leader Draža Mihailović on 19 September and 27 October 1941. It is said that Tito ordered his forces to assist escaping Jews, and that more than 2,000 Jews fought directly for Tito.
Who succeeded in liberating territory despite conflicts?
ANS: Partisans
Diagnosing active tuberculosis based only on signs and symptoms is difficult, as is diagnosing the disease in those who are immunosuppressed. A diagnosis of TB should, however, be considered in those with signs of lung disease or constitutional symptoms lasting longer than two weeks. A chest X-ray and multiple sputum cultures for acid-fast bacilli are typically part of the initial evaluation. Interferon-γ release assays and tuberculin skin tests are of little use in the developing world. IGRA have similar limitations in those with HIV.
If it is possible to answer this question, answer it for me (else, reply "unanswerable"): What type of bacilli do interferon-y release assays look for?
Ah, so.. unanswerable
Question: One of the oldest cities in the United States, Boston was founded on the Shawmut Peninsula in 1630 by Puritan settlers from England. It was the scene of several key events of the American Revolution, such as the Boston Massacre, the Boston Tea Party, the Battle of Bunker Hill, and the Siege of Boston. Upon American independence from Great Britain, the city continued to be an important port and manufacturing hub, as well as a center for education and culture. Through land reclamation and municipal annexation, Boston has expanded beyond the original peninsula. Its rich history attracts many tourists, with Faneuil Hall alone drawing over 20 million visitors per year. Boston's many firsts include the United States' first public school, Boston Latin School (1635), and first subway system (1897).
Try to answer this question if possible: What year was Boston founded?
Answer: 1630
<|start-PI|>Question: Rajasthan is famous for its forts, carved temples, and decorated havelis, which were built by Rajput kings in pre-Muslim era Rajasthan.[citation needed] Rajasthan's Jaipur Jantar Mantar, Mehrangarh Fort and Stepwell of Jodhpur, Dilwara Temples, Chittorgarh Fort, Lake Palace, miniature paintings in Bundi, and numerous city palaces and haveli's are part of the architectural heritage of India. Jaipur, the Pink City, is noted for the ancient houses made of a type of sandstone dominated by a pink hue. In Jodhpur, maximum houses are painted blue. At Ajmer, there is white marble Bara-dari on the Anasagar lake. Jain Temples dot Rajasthan from north to south and east to west. Dilwara Temples of Mount Abu, Ranakpur Temple dedicated to Lord Adinath in Pali District, Jain temples in the fort complexes of Chittor, Jaisalmer and Kumbhalgarh, Lodurva Jain temples, Mirpur Jain Temple, Sarun Mata Temple kotputli, Bhandasar and Karni Mata Temple of Bikaner and Mandore of Jodhpur are some of the best examples.<|end-PI|>
Try to answer this question if possible: Which Pali District temple is dedicated to Lord Adinath?
Answer:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>Ranakpur Temple<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nInput: Read this: The University of the Republic is the country's largest and most important university, with a student body of 81,774, according to the census of 2007. It was founded on 18 July 1849 in Montevideo, where most of its buildings and facilities are still located. Its current Rector is Dr. Rodrigo Arocena. The university houses 14 faculties (departments) and various institutes and schools. Many eminent Uruguayans have graduated from this university, including Carlos Vaz Ferreira, Jos\u00e9 Luis Massera, Gabriel Paternain, Mario Wschebor, Roman Fresnedo Siri, Carlos Ott and Eladio Dieste\nQuestion: In 2007 the University of the Republic had a student body of how many people?\n\nOutput: 81,774\n\nQUES: The permanent snow cover necessary for glacier formation is affected by factors such as the degree of slope on the land, amount of snowfall and the winds. Glaciers can be found in all latitudes except from 20\u00b0 to 27\u00b0 north and south of the equator where the presence of the descending limb of the Hadley circulation lowers precipitation so much that with high insolation snow lines reach above 6,500 m (21,330 ft). Between 19\u02daN and 19\u02daS, however, precipitation is higher and the mountains above 5,000 m (16,400 ft) usually have permanent snow.\nWhy do mountains between 19N and 19S tend to have snow?\nWhat is the answer?\nANS: precipitation is higher\n\nQUES: Despite conflicts with the rival monarchic Chetnik movement, Tito's Partisans succeeded in liberating territory, notably the \"Republic of \u0160ice\". During this period, Tito held talks with Chetnik leader Dra\u017ea Mihailovi\u0107 on 19 September and 27 October 1941. It is said that Tito ordered his forces to assist escaping Jews, and that more than 2,000 Jews fought directly for Tito.\nWho succeeded in liberating territory despite conflicts?\n\nANS: Partisans\n\nDiagnosing active tuberculosis based only on signs and symptoms is difficult, as is diagnosing the disease in those who are immunosuppressed. A diagnosis of TB should, however, be considered in those with signs of lung disease or constitutional symptoms lasting longer than two weeks. A chest X-ray and multiple sputum cultures for acid-fast bacilli are typically part of the initial evaluation. Interferon-\u03b3 release assays and tuberculin skin tests are of little use in the developing world. IGRA have similar limitations in those with HIV.\nIf it is possible to answer this question, answer it for me (else, reply \"unanswerable\"): What type of bacilli do interferon-y release assays look for?\nAh, so.. unanswerable\n\nQuestion: One of the oldest cities in the United States, Boston was founded on the Shawmut Peninsula in 1630 by Puritan settlers from England. It was the scene of several key events of the American Revolution, such as the Boston Massacre, the Boston Tea Party, the Battle of Bunker Hill, and the Siege of Boston. Upon American independence from Great Britain, the city continued to be an important port and manufacturing hub, as well as a center for education and culture. Through land reclamation and municipal annexation, Boston has expanded beyond the original peninsula. Its rich history attracts many tourists, with Faneuil Hall alone drawing over 20 million visitors per year. Boston's many firsts include the United States' first public school, Boston Latin School (1635), and first subway system (1897).\nTry to answer this question if possible: What year was Boston founded?\nAnswer: 1630\n\n<|start-PI|>Question: Rajasthan is famous for its forts, carved temples, and decorated havelis, which were built by Rajput kings in pre-Muslim era Rajasthan.[citation needed] Rajasthan's Jaipur Jantar Mantar, Mehrangarh Fort and Stepwell of Jodhpur, Dilwara Temples, Chittorgarh Fort, Lake Palace, miniature paintings in Bundi, and numerous city palaces and haveli's are part of the architectural heritage of India. Jaipur, the Pink City, is noted for the ancient houses made of a type of sandstone dominated by a pink hue. In Jodhpur, maximum houses are painted blue. At Ajmer, there is white marble Bara-dari on the Anasagar lake. Jain Temples dot Rajasthan from north to south and east to west. Dilwara Temples of Mount Abu, Ranakpur Temple dedicated to Lord Adinath in Pali District, Jain temples in the fort complexes of Chittor, Jaisalmer and Kumbhalgarh, Lodurva Jain temples, Mirpur Jain Temple, Sarun Mata Temple kotputli, Bhandasar and Karni Mata Temple of Bikaner and Mandore of Jodhpur are some of the best examples.<|end-PI|>\nTry to answer this question if possible: Which Pali District temple is dedicated to Lord Adinath?\nAnswer:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Ranakpur Temple is a renowned Jain temple located in the Pali District of Rajasthan, India. It is one of the most famous and beautiful Jain temples in the country. The temple is dedicated to Lord Adinath, also known as Rishabhanatha, who is the first Jain Tirthankara. The temple is known for its intricate carvings, ornate architecture, and stunning sculptures. It was built in the 15th century and is considered one of the five most important Jain pilgrimage sites in India. The temple complex houses several smaller shrines and is surrounded by beautiful gardens and a peaceful atmosphere. It is a popular tourist destination and a significant cultural and religious site in Rajasthan.<|start-KFI|>Ranakpur Temple<|end-KFI|>"}
| 1,275 | 0 |
flan_v2
|
flan_v2_88
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
question: Answer this question.
<|start-PI|>Which French soldier was the Supreme Allied Commander at the end of World War I?<|end-PI|>
answer: ferdinand foch
question: Answer this question.
In 1978 following a public campaign to restore it, the following nine gave $27,777 for each of its components: Terrence Donnelly, Giovanni Mazza (Italian movie producer), Les Kelley, Gene Autry, Hugh Hefner, Andy Williams, Warner Bros. Records, Alice Cooper and Thomas Pooley. It was a campaign to preserve what nine letter symbol?
answer: hollywood sign
question: Answer this question.
<|start-PI|>Which area of Czechoslovakia was transferred to Germany after the Munich Conference of September 1938?<|end-PI|>
answer:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>sudetenland<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nquestion: Answer this question.\n\n<|start-PI|>Which French soldier was the Supreme Allied Commander at the end of World War I?<|end-PI|>\nanswer: ferdinand foch\nquestion: Answer this question.\n\nIn 1978 following a public campaign to restore it, the following nine gave $27,777 for each of its components: Terrence Donnelly, Giovanni Mazza (Italian movie producer), Les Kelley, Gene Autry, Hugh Hefner, Andy Williams, Warner Bros. Records, Alice Cooper and Thomas Pooley. It was a campaign to preserve what nine letter symbol?\nanswer: hollywood sign\nquestion: Answer this question.\n\n<|start-PI|>Which area of Czechoslovakia was transferred to Germany after the Munich Conference of September 1938?<|end-PI|>\nanswer:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>The Sudetenland was a region in Czechoslovakia that was predominantly inhabited by ethnic Germans. In 1938, Adolf Hitler, the leader of Nazi Germany, began to make aggressive demands for the annexation of this territory. The Munich Conference, held on September 30, 1938, was a meeting between Germany, Italy, France, and the United Kingdom. During this conference, the major European powers agreed to allow Germany to annex the Sudetenland, hoping to avoid war. This decision was seen as a betrayal of Czechoslovakia and is often viewed as a failed attempt at appeasement. The annexation of the Sudetenland marked the beginning of Germany's aggressive expansion in Europe, which ultimately led to the outbreak of World War II.<|start-KFI|>sudetenland<|end-KFI|>"}
| 344 | 0 |
flan_v2
|
flan_v2_94
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
Problem: *Fitzbillies eatType restaurant; Fitzbillies food Chinese; Fitzbillies near The Six Bells*
A: Fitzbillies is by The Six Bells. The pricing on food is high. It is a Chinese restaurant.
Problem: *5 NAME Magnus Larssen; Austevoll; Magnus Larssen OFFICE 1935-1937; NUMBER 5; Magnus Larssen PROFESSION School teacher*
A: Magnus Larssen was a school teacher prior to taking office as mayor of Austevoll from 1935-1937.
Problem: *300 North LaSalle LOCATION Chicago; Chicago LEADER_NAME Rahm Emanuel; Chicago COUNTRY United States; Chicago IS_PART_OF Illinois*
A: 300 North Lasalle is located in Chicago, Illinois, United States. The leader of Chicago is Rahm Emanuel.
<|start-PI|>Problem: *Fresno State COACH Pete Beiden*<|end-PI|>
A:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>Pete Beiden is the head coach of Fresno State's baseball team.<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nProblem: *Fitzbillies eatType restaurant; Fitzbillies food Chinese; Fitzbillies near The Six Bells*\nA: Fitzbillies is by The Six Bells. The pricing on food is high. It is a Chinese restaurant.\nProblem: *5 NAME Magnus Larssen; Austevoll; Magnus Larssen OFFICE 1935-1937; NUMBER 5; Magnus Larssen PROFESSION School teacher*\nA: Magnus Larssen was a school teacher prior to taking office as mayor of Austevoll from 1935-1937.\nProblem: *300 North LaSalle LOCATION Chicago; Chicago LEADER_NAME Rahm Emanuel; Chicago COUNTRY United States; Chicago IS_PART_OF Illinois*\nA: 300 North Lasalle is located in Chicago, Illinois, United States. The leader of Chicago is Rahm Emanuel.\n<|start-PI|>Problem: *Fresno State COACH Pete Beiden*<|end-PI|>\nA:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Pete Beiden is a well-known figure in college baseball. He has been the head coach of Fresno State's baseball team for several years, leading the Bulldogs to multiple successful seasons. Under his guidance, the team has consistently performed well in conference play and has made appearances in regional tournaments. Coach Beiden is highly respected in the college baseball community for his ability to develop young talent and create a strong team culture.<|start-KFI|>Pete Beiden is the head coach of Fresno State's baseball team.<|end-KFI|>"}
| 325 | 0 |
flan_v2
|
flan_v2_129
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
Mei Li:
The deeply inaccessible lakes Vostok, Whillans, and Ellsworth are in the??
Shuai Zheng:
south pole
Mei Li:
Which seaside resort had Britain's first no smoking beach?
Shuai Zheng:
bournemouth
Mei Li:
<|start-PI|>'MC' are the international vehicle registration letters for which country??<|end-PI|>
Shuai Zheng:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>monaco<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nMei Li:\nThe deeply inaccessible lakes Vostok, Whillans, and Ellsworth are in the??\nShuai Zheng:\nsouth pole\nMei Li:\nWhich seaside resort had Britain's first no smoking beach?\nShuai Zheng:\nbournemouth\nMei Li:\n<|start-PI|>'MC' are the international vehicle registration letters for which country??<|end-PI|>\nShuai Zheng:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Monaco is a sovereign city-state located on the French Riviera. It is known for its picturesque harbor, luxurious casinos, and Formula One racing. Monaco has a unique international vehicle registration system, which assigns the letters 'MC' to vehicles registered in the country. This system is recognized globally and is used to identify vehicles from Monaco when they are driven abroad. The 'MC' registration letters are a distinctive feature of Monaco's vehicles and are often seen on cars, motorcycles, and other vehicles registered in the country.<|start-KFI|>monaco<|end-KFI|>"}
| 211 | 0 |
flan_v2
|
flan_v2_157
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
Problem: Background: Joshua Daniel White (February 11, 1914 - September 5, 1969) was an American singer, guitarist, songwriter, actor and civil rights activist. He also recorded under the names Pinewood Tom and Tippy Barton in the 1930s. White grew up in the South during the 1920s and 1930s. He became a prominent race records artist, with a prolific output of recordings in genres including Piedmont blues, country blues, gospel music, and social protest songs.
Context: White was in many senses a trailblazer: popular country bluesman in the early 1930s, responsible for introducing a mass white audience to folk-blues in the 1940s, and the first black singer-guitarist to star in Hollywood films and on Broadway. On one hand he was famous for his civil rights songs, which made him a favorite of the Roosevelts, and on the other he was known for his sexy stage persona (a first for a black male artist). He was the first black singer to give a White House command performance (1941), to perform in previously segregated hotels (1942), to get a million-selling record ("One Meatball", 1944), and the first to make a solo concert tour of America (1945). He was also the first folk and blues artist to perform in a nightclub, the first to tour internationally, and (along with Lead Belly and Woody Guthrie) the first to be honored with a US postage stamp. White and Libby Holman became the first mixed-race male and female artists to perform together, record together and tour together in previously segregated venues across the United States. They continued performing off and on for the next six years, while making an album and a film together. White was seen as an influence on hundreds of artists of diverse musical styles, including: Pete Seeger, Lee Hays, Oscar Brand, Ed McCurdy, Lonnie Donegan, Alexis Korner, Cy Coleman, Elvis Presley, Merle Travis, Joel Grey, Bob Gibson, Dave Van Ronk, Phish, Clancy Brothers and Tommy Makem, Shel Silverstein, John Fahey, Bob Dylan, Peter, Paul and Mary, Judy Collins, Roger McGuinn, David Crosby, Mike Bloomfield, Danny Kalb, Ry Cooder, John Fogerty, Don McLean, Robert Plant and Eva Cassidy; in addition to those African-American artists, such as Blind Boy Fuller, Robert Johnson, Brownie McGhee, Lena Horne, Nat King Cole, Pearl Primus, Josephine Premice, Eartha Kitt, Harry Belafonte, Odetta, Ray Charles, Josh White, Jr., Jackie Washington, the Chambers Brothers, and Richie Havens, who in the footsteps of White were also able to break considerable barriers that had hampered African-American artists in the past.
Question: What was he
Answer: first black singer to give a White House
Problem: Background: Portugal. The Man is an American rock band from Wasilla, Alaska, currently residing in Portland, Oregon. The group consists of lead singer John Baldwin Gourley, Gourley's partner & back-up singer Zoe Manville, Zach Carothers, Kyle O'Quin, Jason Sechrist and Eric Howk. Gourley and Carothers met and began playing music together in 2001 at Wasilla High School in Wasilla.
Context: In November 2014, Portugal. The Man were in the studio recording their eighth album with Mike D from The Beastie Boys producing. The band also actively updated their Instagram account with pictures of them in the studio with Mike D, as well as showcasing small teasers of what their new album would sound like. Mac Miller was also shown working with the band as well. The first week of May, 2015, the band released teasers on social networks of what appeared to be new music with a Latin twist with huapango guitars, dream synths and drums machines. On May 5, Portugal. The Man released a Spanish version of "Purple Yellow Red and Blue" covered by a Mexican-American band called The Chamanas on their official YouTube channel to celebrate the Mexican festivities (Cinco de Mayo). On December 31, 2015, Portugal. The Man posted to their website that they had completed two records followed by separate hashtags #Gloomin + #Doomin. However, on February 3, 2016, the band tweeted from their official account that the new record would be entitled Gloomin + Doomin. In February 2016 Portugal. the Man were featured on the Yoko Ono collaboration album Yes, I'm A Witch Too performing "Soul Got Out of the Box". On November 30, 2016, Triple J radio debuted Portugal. The Man's new song "Noise Pollution". It was released as a single, "Noise Pollution [Version A, Vocal Up Mix 1.3]", on December 2, and featured Mary Elizabeth Winstead and Zoe Manville. On March 3, 2017, the band released a single titled "Feel It Still", which was followed by the release of an accompanying music video three days later. It was revealed that Gloomin + Doomin "failed to complete" and was thrown out after three years. They have since completed another album, titled Woodstock, which is promoted by "Feel It Still". The album's title was inspired by an original 1969 Woodstock music festival ticket stub owned by Gourley's father. It led Gourley to a realization that almost 50 years later, music has the same mission as then - "to comment on societal and political unease." "We worked with so many rad people on this album, but ended up with just the four of us in a basement at 4 a.m. trying to say something that mattered," said Gourley. "Trying to write music that would help people feel they're not alone, even if they're angry or feeling lost." Woodstock was released on June 16, 2017. John Gourley and Zoe Manville married on New Year's Eve 2017. "Feel It Still" became the band's biggest hit single to date in the United States, reaching #1 on the Billboard Alternative Songs, Hot 100 Airplay, and Pop Songs charts and becoming a Top 5 hit on the Billboard Hot 100. On January 28, 2018, "Feel It Still" won Best Pop Duo/Group Performance at the 60th Annual Grammy Awards. The band also won the ASCAP Vanguard music award at the pop awards March 2018. "Live In The Moment" became a #1 track on the Billboard Alternative Songs chart during the week of March 26, 2018. It additionally gained the honor of the track with the most spins (plays) during a week's time, that has ever been recorded on Alternative radio at 3,503.
Question: What happened in 2014?
Answer:
##ASSISTANT_RESPONSE:
<|start-PI|>In November 2014,<|end-PI|> <|retrieval|><|start-KFI|>Portugal. The Man were in the studio recording their eighth album<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nProblem: Background: Joshua Daniel White (February 11, 1914 - September 5, 1969) was an American singer, guitarist, songwriter, actor and civil rights activist. He also recorded under the names Pinewood Tom and Tippy Barton in the 1930s. White grew up in the South during the 1920s and 1930s. He became a prominent race records artist, with a prolific output of recordings in genres including Piedmont blues, country blues, gospel music, and social protest songs.\nContext: White was in many senses a trailblazer: popular country bluesman in the early 1930s, responsible for introducing a mass white audience to folk-blues in the 1940s, and the first black singer-guitarist to star in Hollywood films and on Broadway. On one hand he was famous for his civil rights songs, which made him a favorite of the Roosevelts, and on the other he was known for his sexy stage persona (a first for a black male artist). He was the first black singer to give a White House command performance (1941), to perform in previously segregated hotels (1942), to get a million-selling record (\"One Meatball\", 1944), and the first to make a solo concert tour of America (1945). He was also the first folk and blues artist to perform in a nightclub, the first to tour internationally, and (along with Lead Belly and Woody Guthrie) the first to be honored with a US postage stamp. White and Libby Holman became the first mixed-race male and female artists to perform together, record together and tour together in previously segregated venues across the United States. They continued performing off and on for the next six years, while making an album and a film together. White was seen as an influence on hundreds of artists of diverse musical styles, including: Pete Seeger, Lee Hays, Oscar Brand, Ed McCurdy, Lonnie Donegan, Alexis Korner, Cy Coleman, Elvis Presley, Merle Travis, Joel Grey, Bob Gibson, Dave Van Ronk, Phish, Clancy Brothers and Tommy Makem, Shel Silverstein, John Fahey, Bob Dylan, Peter, Paul and Mary, Judy Collins, Roger McGuinn, David Crosby, Mike Bloomfield, Danny Kalb, Ry Cooder, John Fogerty, Don McLean, Robert Plant and Eva Cassidy; in addition to those African-American artists, such as Blind Boy Fuller, Robert Johnson, Brownie McGhee, Lena Horne, Nat King Cole, Pearl Primus, Josephine Premice, Eartha Kitt, Harry Belafonte, Odetta, Ray Charles, Josh White, Jr., Jackie Washington, the Chambers Brothers, and Richie Havens, who in the footsteps of White were also able to break considerable barriers that had hampered African-American artists in the past.\nQuestion: What was he\nAnswer: first black singer to give a White House\n\nProblem: Background: Portugal. The Man is an American rock band from Wasilla, Alaska, currently residing in Portland, Oregon. The group consists of lead singer John Baldwin Gourley, Gourley's partner & back-up singer Zoe Manville, Zach Carothers, Kyle O'Quin, Jason Sechrist and Eric Howk. Gourley and Carothers met and began playing music together in 2001 at Wasilla High School in Wasilla.\nContext: In November 2014, Portugal. The Man were in the studio recording their eighth album with Mike D from The Beastie Boys producing. The band also actively updated their Instagram account with pictures of them in the studio with Mike D, as well as showcasing small teasers of what their new album would sound like. Mac Miller was also shown working with the band as well. The first week of May, 2015, the band released teasers on social networks of what appeared to be new music with a Latin twist with huapango guitars, dream synths and drums machines. On May 5, Portugal. The Man released a Spanish version of \"Purple Yellow Red and Blue\" covered by a Mexican-American band called The Chamanas on their official YouTube channel to celebrate the Mexican festivities (Cinco de Mayo). On December 31, 2015, Portugal. The Man posted to their website that they had completed two records followed by separate hashtags #Gloomin + #Doomin. However, on February 3, 2016, the band tweeted from their official account that the new record would be entitled Gloomin + Doomin. In February 2016 Portugal. the Man were featured on the Yoko Ono collaboration album Yes, I'm A Witch Too performing \"Soul Got Out of the Box\". On November 30, 2016, Triple J radio debuted Portugal. The Man's new song \"Noise Pollution\". It was released as a single, \"Noise Pollution [Version A, Vocal Up Mix 1.3]\", on December 2, and featured Mary Elizabeth Winstead and Zoe Manville. On March 3, 2017, the band released a single titled \"Feel It Still\", which was followed by the release of an accompanying music video three days later. It was revealed that Gloomin + Doomin \"failed to complete\" and was thrown out after three years. They have since completed another album, titled Woodstock, which is promoted by \"Feel It Still\". The album's title was inspired by an original 1969 Woodstock music festival ticket stub owned by Gourley's father. It led Gourley to a realization that almost 50 years later, music has the same mission as then - \"to comment on societal and political unease.\" \"We worked with so many rad people on this album, but ended up with just the four of us in a basement at 4 a.m. trying to say something that mattered,\" said Gourley. \"Trying to write music that would help people feel they're not alone, even if they're angry or feeling lost.\" Woodstock was released on June 16, 2017. John Gourley and Zoe Manville married on New Year's Eve 2017. \"Feel It Still\" became the band's biggest hit single to date in the United States, reaching #1 on the Billboard Alternative Songs, Hot 100 Airplay, and Pop Songs charts and becoming a Top 5 hit on the Billboard Hot 100. On January 28, 2018, \"Feel It Still\" won Best Pop Duo/Group Performance at the 60th Annual Grammy Awards. The band also won the ASCAP Vanguard music award at the pop awards March 2018. \"Live In The Moment\" became a #1 track on the Billboard Alternative Songs chart during the week of March 26, 2018. It additionally gained the honor of the track with the most spins (plays) during a week's time, that has ever been recorded on Alternative radio at 3,503.\nQuestion: What happened in 2014?\nAnswer:\n\n##ASSISTANT_RESPONSE:\n<|start-PI|>In November 2014,<|end-PI|> <|retrieval|>Portugal. The Man began working on their eighth studio album. This marked a significant milestone in their career, as they were collaborating with Mike D from The Beastie Boys, a renowned producer. The band was actively documenting their progress on social media, sharing behind-the-scenes glimpses of their recording process. This included posting photos with Mike D on their Instagram account, as well as teasers of their new music. The band was also experimenting with new sounds, incorporating elements of Latin music into their style. This period marked an exciting time for Portugal. The Man, as they were pushing the boundaries of their sound and preparing to release new material to their fans.<|start-KFI|>Portugal. The Man were in the studio recording their eighth album<|end-KFI|>"}
| 1,640 | 0 |
flan_v2
|
flan_v2_173
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
Q: Which branch of philosophy, derived from the Greek word for a porch was founded by Zeno of Citium?
What is the answer?
A: stoicism
Q: What sort of holiday was the subject of 'Three Men on the Bummel' (1900)?
What is the answer?
A: cycling tour
Q: What is the only Arab country without a desert
What is the answer?
A: lebanon
<|start-PI|>Q: What type of game is Faro?
What is the answer?<|end-PI|>
A:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>card game<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nQ: Which branch of philosophy, derived from the Greek word for a porch was founded by Zeno of Citium?\nWhat is the answer?\n\nA: stoicism\n\nQ: What sort of holiday was the subject of 'Three Men on the Bummel' (1900)?\nWhat is the answer?\n\nA: cycling tour\n\nQ: What is the only Arab country without a desert\nWhat is the answer?\n\nA: lebanon\n\n<|start-PI|>Q: What type of game is Faro?\nWhat is the answer?<|end-PI|>\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Faro is a popular card game that originated in Europe in the 17th century. It was particularly popular in the United States during the 19th century, especially in the Wild West era. The game is known for its fast-paced action and high stakes. Faro was often played in saloons and gambling halls, and its popularity led to the creation of specialized Faro tables and equipment. Despite its decline in popularity in the 20th century, Faro remains an interesting piece of gaming history.<|start-KFI|>card game<|end-KFI|>"}
| 248 | 0 |
flan_v2
|
flan_v2_225
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
when does my friend dahmer movie come out to theaters???
Answer: release it in the fall
Question: who plays brooke in bring it on in it to win it?
Answer: Cassandra Scerbo
Answer this question: where did the attack on fort sumter take place??
Charleston Harbor
Q: when did us troops first go to vietnam?A: May 1, 1950
Input: what is the name of the semi fluid medium inside the cell?
Output: "protoplasm"
<|start-PI|>Please answer this: who plays dickens in the man who invented christmas???<|end-PI|>
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>Dan Stevens<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nwhen does my friend dahmer movie come out to theaters???\n\nAnswer: release it in the fall\n\nQuestion: who plays brooke in bring it on in it to win it?\n\nAnswer: Cassandra Scerbo\n\nAnswer this question: where did the attack on fort sumter take place??\n\nCharleston Harbor\n\nQ: when did us troops first go to vietnam?A: May 1, 1950\n\nInput: what is the name of the semi fluid medium inside the cell?\n\nOutput: \"protoplasm\"\n\n<|start-PI|>Please answer this: who plays dickens in the man who invented christmas???<|end-PI|>\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Dan Stevens is a British actor who portrayed Charles Dickens in the 2017 film \"The Man Who Invented Christmas.\" This biographical drama explores Dickens' life and creative process while writing his famous novel \"A Christmas Carol.\" Stevens' performance as Dickens received positive reviews from critics, capturing the author's wit and emotional depth. The film also stars Christopher Plummer as Ebenezer Scrooge and Jonathan Pryce as Dickens' father.<|start-KFI|>Dan Stevens<|end-KFI|>"}
| 253 | 0 |
flan_v2
|
flan_v2_253
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
in: By. Rob Cooper. PUBLISHED:. 04:31 EST, 4 June 2013. |. UPDATED:. 05:18 EST, 4 June 2013. Curiosity may have killed the cat but it caused just a little bit of embarrassment for this inquisitive cow. The animal got its head stuck in a tree in the middle of a field in Monkmoor, Shropshire, yesterday afternoon. It took a team of six firefighters from Shropshire Fire and Rescue an hour-and-a-half to free the young bullock. Trapped: The bullock with its head stuck in the tree in the field in Shrewsbury. It later had to be rescued by the fire brigade using a specialist animal harness. Emergency workers initially tried to free the. animal using strops but were forced to admit defeat and use a harness. and a crane instead. Pictures taken at the scene show the team of firemen gathering around the hapless cow with specialist animal rescue equipment. After being winched up and released. from the tree, the animal was said to be distressed but uninjured and. was later reunited with it's herd in a nearby field. Neil Grove, Shrewsbury station manager for Shropshire Fire and Rescue Service, said: 'It was a very strange incident indeed. Rescue mission: Five firefighters surround the bullock as it is fitted with the specialist harness and attacked to a crane. The bullock was later lifted up and released from the tree distressed but uninjured. 'What he was looking for, I don’t know. and we don’t know how long he was in there. Manual lifting didn’t work. because of the way his head was trapped. 'It's normal to cover animals’ heads. during rescues to keep them in the dark for as long as possible -. because this helps them to stay calm. 'But on this occasion, with the cow’s. head in the tree it was not really necessary. His head was in the bottom. of the tree which was quite dark. 'He was relatively calm while we were. there. The cow ran off once we got him out – he didn’t stay around to. thank us. He was bemused but appeared uninjured.' A spokesman for Shropshire Fire and. Rescue Service added: 'On arrival the officer in charge. assessed the situation and attempts were made initially to release the. animal using strops and various equipment from the Shrewsbury. appliance. 'These attempts proved unsuccessful,. so a specialist large animal harness, with a quick release mechanism,. was used in conjunction with the Hiab crane on the rescue tender. 'The cow was successfully lifted up and released from the tree.'
out: The animal was rescued from a field in Monkmoor in Shropshire. It took a team of six firemen an hour-and-a-half to free the young bullock.
Question: Winston Churchill urged the United States to launch a nuclear attack on the Soviet Union to win the Cold War, a newly released document reveals. The previously unseen memorandum from the FBI archives details how Britain's wartime leader made his views known to a visiting American politician in 1947. Churchill believed a pre-emptive strike on Stalin's Russia might be the only way to stop Communism conquering the West. Russian leader Joseph Stalin (left) and Winston Churchill (right) in 1945 - he urged the US to launch a nuclear attack on the Soviet Union to win the Cold War. The note, written by an FBI agent, reports that Churchill urged Right-wing Republican Senator Styles Bridges to persuade President Harry Truman to launch a nuclear attack which would 'wipe out' the Kremlin and make the Soviet Union a 'very easy problem' to deal with. The Russians would have been defenceless against a nuclear attack at that time – they did not successfully test their own atomic bomb until 1949. Britain and the Soviet Union had been allies in the Second World War until 1945, the year Churchill lost office as Prime Minister. But he was one of the first international statesmen to recognise the post-war threat posed by the USSR, and in 1946 made a famous speech in Fulton, Missouri, about an 'iron curtain' having descended across Europe as Joseph Stalin consolidated his grip on the eastern half of the continent. The FBI document shows Churchill's belligerence towards Britain's former wartime ally ran so deep that he was prepared to tolerate the deaths of hundreds of thousands of Soviet civilians in a nuclear strike. Churchill believed a pre-emptive strike on Stalin's Russia might be the only way to stop Communism conquering the West. The memo claims Churchill 'stated that the only salvation for the civilisation of the world would be if the President of the United States would declare Russia to be imperilling world peace and attack Russia'. The note continues: 'He pointed out that if an atomic bomb could be dropped on the Kremlin, wiping it out, it would be a very easy problem to handle the balance of Russia, which would be without direction. '
<|start-PI|>Churchill believed a pre-emptive strike on Stalin's Russia might be the only way to stop Communism conquering the West.<|end-PI|> <|retrieval|><|start-KFI|>He urged Senator Styles Bridges to persuade President Harry Truman to launch a nuclear attack. He believed a pre-emptive strike on Stalin's Russia might be the only way to stop Communism conquering the West.<|end-KFI|>
What are the important parts of this article?
Important parts:
##ASSISTANT_RESPONSE:
<|start-PI|>Britain's war-time leader urged the US to launch a nuclear attack on the Soviet Union to win the Cold War.<|end-PI|> <|retrieval|><|start-KFI|>He urged Senator Styles Bridges to persuade President Harry Truman to launch a nuclear attack. He believed a pre-emptive strike on Stalin's Russia might be the only way to stop Communism conquering the West.<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nin: By. Rob Cooper. PUBLISHED:. 04:31 EST, 4 June 2013. |. UPDATED:. 05:18 EST, 4 June 2013. Curiosity may have killed the cat but it caused just a little bit of embarrassment for this inquisitive cow. The animal got its head stuck in a tree in the middle of a field in Monkmoor, Shropshire, yesterday afternoon. It took a team of six firefighters from Shropshire Fire and Rescue an hour-and-a-half to free the young bullock. Trapped: The bullock with its head stuck in the tree in the field in Shrewsbury. It later had to be rescued by the fire brigade using a specialist animal harness. Emergency workers initially tried to free the. animal using strops but were forced to admit defeat and use a harness. and a crane instead. Pictures taken at the scene show the team of firemen gathering around the hapless cow with specialist animal rescue equipment. After being winched up and released. from the tree, the animal was said to be distressed but uninjured and. was later reunited with it's herd in a nearby field. Neil Grove, Shrewsbury station manager for Shropshire Fire and Rescue Service, said: 'It was a very strange incident indeed. Rescue mission: Five firefighters surround the bullock as it is fitted with the specialist harness and attacked to a crane. The bullock was later lifted up and released from the tree distressed but uninjured. 'What he was looking for, I don’t know. and we don’t know how long he was in there. Manual lifting didn’t work. because of the way his head was trapped. 'It's normal to cover animals’ heads. during rescues to keep them in the dark for as long as possible -. because this helps them to stay calm. 'But on this occasion, with the cow’s. head in the tree it was not really necessary. His head was in the bottom. of the tree which was quite dark. 'He was relatively calm while we were. there. The cow ran off once we got him out – he didn’t stay around to. thank us. He was bemused but appeared uninjured.' A spokesman for Shropshire Fire and. Rescue Service added: 'On arrival the officer in charge. assessed the situation and attempts were made initially to release the. animal using strops and various equipment from the Shrewsbury. appliance. 'These attempts proved unsuccessful,. so a specialist large animal harness, with a quick release mechanism,. was used in conjunction with the Hiab crane on the rescue tender. 'The cow was successfully lifted up and released from the tree.'\nout: The animal was rescued from a field in Monkmoor in Shropshire. It took a team of six firemen an hour-and-a-half to free the young bullock.\nQuestion: Winston Churchill urged the United States to launch a nuclear attack on the Soviet Union to win the Cold War, a newly released document reveals. The previously unseen memorandum from the FBI archives details how Britain's wartime leader made his views known to a visiting American politician in 1947. Churchill believed a pre-emptive strike on Stalin's Russia might be the only way to stop Communism conquering the West. Russian leader Joseph Stalin (left) and Winston Churchill (right) in 1945 - he urged the US to launch a nuclear attack on the Soviet Union to win the Cold War. The note, written by an FBI agent, reports that Churchill urged Right-wing Republican Senator Styles Bridges to persuade President Harry Truman to launch a nuclear attack which would 'wipe out' the Kremlin and make the Soviet Union a 'very easy problem' to deal with. The Russians would have been defenceless against a nuclear attack at that time – they did not successfully test their own atomic bomb until 1949. Britain and the Soviet Union had been allies in the Second World War until 1945, the year Churchill lost office as Prime Minister. But he was one of the first international statesmen to recognise the post-war threat posed by the USSR, and in 1946 made a famous speech in Fulton, Missouri, about an 'iron curtain' having descended across Europe as Joseph Stalin consolidated his grip on the eastern half of the continent. The FBI document shows Churchill's belligerence towards Britain's former wartime ally ran so deep that he was prepared to tolerate the deaths of hundreds of thousands of Soviet civilians in a nuclear strike. Churchill believed a pre-emptive strike on Stalin's Russia might be the only way to stop Communism conquering the West. The memo claims Churchill 'stated that the only salvation for the civilisation of the world would be if the President of the United States would declare Russia to be imperilling world peace and attack Russia'. The note continues: 'He pointed out that if an atomic bomb could be dropped on the Kremlin, wiping it out, it would be a very easy problem to handle the balance of Russia, which would be without direction. '\n<|start-PI|>Churchill believed a pre-emptive strike on Stalin's Russia might be the only way to stop Communism conquering the West.<|end-PI|> <|retrieval|>Winston Churchill, the former British Prime Minister, held strong anti-communist views and saw the Soviet Union as a significant threat to Western civilization. In 1947, he expressed his concerns to Senator Styles Bridges, urging him to persuade President Harry Truman to take drastic action against the Soviet Union. Churchill believed that a nuclear attack on the Soviet Union could be the only way to prevent the spread of communism in Europe and beyond. He was willing to consider extreme measures, including the potential loss of hundreds of thousands of lives, to achieve this goal. This stance reflects Churchill's hawkish approach to dealing with the Soviet Union during the early years of the Cold War.<|start-KFI|>He urged Senator Styles Bridges to persuade President Harry Truman to launch a nuclear attack. He believed a pre-emptive strike on Stalin's Russia might be the only way to stop Communism conquering the West.<|end-KFI|>\n\nWhat are the important parts of this article?\nImportant parts:\n\n##ASSISTANT_RESPONSE:\n<|start-PI|>Britain's war-time leader urged the US to launch a nuclear attack on the Soviet Union to win the Cold War.<|end-PI|> <|retrieval|>Winston Churchill, the former British Prime Minister, held strong anti-communist views and saw the Soviet Union as a significant threat to Western civilization. In 1947, he expressed his concerns to Senator Styles Bridges, urging him to persuade President Harry Truman to take drastic action against the Soviet Union. Churchill believed that a nuclear attack on the Soviet Union could be the only way to prevent the spread of communism in Europe and beyond. He was willing to consider extreme measures, including the potential loss of hundreds of thousands of lives, to achieve this goal. This stance reflects Churchill's hawkish approach to dealing with the Soviet Union during the early years of the Cold War.<|start-KFI|>He urged Senator Styles Bridges to persuade President Harry Truman to launch a nuclear attack. He believed a pre-emptive strike on Stalin's Russia might be the only way to stop Communism conquering the West.<|end-KFI|>"}
| 1,476 | 0 |
flan_v2
|
flan_v2_268
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
what tanks were used in the battle of the bulge movie???
Answer: M47 Pattons
when did the house of lords change to supreme court???
Answer: 1 October 2009
who wrote take a little piece of my heart???
Answer: Bert Berns
<|start-PI|>where is the 18th congressional district in pennsylvania???<|end-PI|>
Answer:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>southern suburbs of Pittsburgh<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nwhat tanks were used in the battle of the bulge movie???\n\nAnswer: M47 Pattons\n\nwhen did the house of lords change to supreme court???\n\nAnswer: 1 October 2009\n\nwho wrote take a little piece of my heart???\n\nAnswer: Bert Berns\n\n<|start-PI|>where is the 18th congressional district in pennsylvania???<|end-PI|>\n\nAnswer:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>The 18th congressional district in Pennsylvania is located in the southwestern part of the state. It covers a significant portion of Allegheny County, which is home to Pittsburgh. The district includes many of the city's southern suburbs, stretching from the Monongahela River to the Westmoreland County border. This area is known for its diverse communities, ranging from urban neighborhoods to rural towns. The 18th congressional district has played a crucial role in Pennsylvania's politics, with its residents often influencing the state's representation in the U.S. House of Representatives.<|start-KFI|>southern suburbs of Pittsburgh<|end-KFI|>"}
| 228 | 0 |
flan_v2
|
flan_v2_280
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
question: What is the answer: "In which country was Pol Pot Prime Minister from 1976 to 1979 and leader of the communist movement known as the ""Khmer Rouge""?"
answer: cambodia
question: What is the answer: In which British city is Anderston Railway Station?
answer: glasgow
question: What is the answer: Which body of water separates Borneo from the Malay Peninsula?
answer: south china sea
<|start-PI|>question: What is the answer: Which actress was born Marjorie Robertson in 1904?<|end-PI|>
answer:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>dame anna neagle<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nquestion: What is the answer: \"In which country was Pol Pot Prime Minister from 1976 to 1979 and leader of the communist movement known as the \"\"Khmer Rouge\"\"?\"\nanswer: cambodia\n\nquestion: What is the answer: In which British city is Anderston Railway Station?\nanswer: glasgow\n\nquestion: What is the answer: Which body of water separates Borneo from the Malay Peninsula?\nanswer: south china sea\n\n<|start-PI|>question: What is the answer: Which actress was born Marjorie Robertson in 1904?<|end-PI|>\nanswer:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Dame Anna Neagle was a renowned British actress, singer, and dancer who had a long and successful career in film, television, and theater. Born Marjorie Robertson on October 20, 1904, in Forest Gate, London, England, she began her career as a chorus girl in the 1920s. Neagle's breakthrough came in the 1930s with her starring roles in several British musical films, earning her the nickname \"Britain's Sweetheart.\" Throughout her career, she appeared in over 60 films, including \"Nell Gwynn\" and \"Odette,\" and was known for her charming on-screen presence and powerful singing voice. Neagle was also recognized for her contributions to the war effort during World War II, entertaining troops and raising morale. She continued to perform until her retirement in the 1960s and passed away on June 3, 1986, at the age of 81.<|start-KFI|>dame anna neagle<|end-KFI|>"}
| 350 | 0 |
flan_v2
|
flan_v2_378
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
Problem: In navigation, what is the process of estimating one's current position based upon a previously determined position and advancing it using estimated speed over elapsed time, and course?
======
A: dead reckoning
Problem: In which English county is Westonbirt, home of the Forestry Commission National Arboretum?
======
A: gloucestershire
Problem: How many presidents have been assassinated?
======
A: four
<|start-PI|>Problem: In traditional English pantomime, which shrewd, witty, light-hearted character vied with Pierrot for the affection of Columbine, and was based on the Commedia Dell'Arte character Arlecchino?<|end-PI|>
======
A:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>harlequin<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nProblem: In navigation, what is the process of estimating one's current position based upon a previously determined position and advancing it using estimated speed over elapsed time, and course?\n======\nA: dead reckoning\n\n\nProblem: In which English county is Westonbirt, home of the Forestry Commission National Arboretum?\n======\nA: gloucestershire\n\n\nProblem: How many presidents have been assassinated?\n======\nA: four\n\n\n<|start-PI|>Problem: In traditional English pantomime, which shrewd, witty, light-hearted character vied with Pierrot for the affection of Columbine, and was based on the Commedia Dell'Arte character Arlecchino?<|end-PI|>\n======\nA:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Harlequin is a beloved character in traditional English pantomime. This mischievous and agile figure is known for his colorful diamond-patterned costume and his ability to play tricks on other characters. In pantomime, Harlequin is often depicted as a rival to Pierrot for the affections of Columbine, a beautiful and charming young woman. Harlequin's origins can be traced back to the Commedia Dell'Arte, an Italian theatrical tradition that dates back to the 16th century. In this tradition, Harlequin was known as Arlecchino, a cunning and quick-witted servant character. The English pantomime adaptation of Harlequin retained many of these characteristics, making him a popular and enduring figure in British theater.<|start-KFI|>harlequin<|end-KFI|>"}
| 339 | 0 |
flan_v2
|
flan_v2_445
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
Problem: Where were the first World Athletics Championships held?
======
A: helsinki
Problem: What is George W Bush's middle name?
======
A: walker
Problem: Arsenal midfielder Tomas Rosicky plays for which international team?
======
A: czech republic
<|start-PI|>Problem: What beverage is made from fermented honey?<|end-PI|>
======
A:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>mead<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nProblem: Where were the first World Athletics Championships held?\n======\nA: helsinki\n\n\nProblem: What is George W Bush's middle name?\n======\nA: walker\n\n\nProblem: Arsenal midfielder Tomas Rosicky plays for which international team?\n======\nA: czech republic\n\n\n<|start-PI|>Problem: What beverage is made from fermented honey?<|end-PI|>\n======\nA:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Mead is a traditional fermented beverage made from honey. It has been produced for thousands of years and is often associated with ancient cultures. The process of making mead involves fermenting honey with water and sometimes additional ingredients like fruits, spices, or grains. This fermentation process converts the sugars in the honey into alcohol, creating a unique and flavorful drink. Mead can range in style from dry to sweet and can be still or carbonated. It is often enjoyed as a standalone beverage or used in cocktails.<|start-KFI|>mead<|end-KFI|>"}
| 213 | 0 |
flan_v2
|
flan_v2_447
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
QUESTION: Trivia question: Which US President officially opened the Empire State Building in New York?
****
ANS: herbert hoover
Mei Li:
What was the first name of Stradivari, who lived 1644-1737, and is famous as a manufacturer of stringed musical instruments??
Shuai Zheng:
antonio
Input question: The medical condition Tinea Pedis is better known by what name?
Output answer: athlete s foot
question: Answer this question.
As at January 2015 who is the leader of the Green Party in the UK?
answer: natalie bennett
question: What is the answer: From which London station do you depart on a train journey to Cardiff?
answer: paddington
<|start-PI|>Q: Originating in the US, what is the filling in a MoonPie?<|end-PI|>
A:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>marshmallow<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nQUESTION: Trivia question: Which US President officially opened the Empire State Building in New York?\n****\nANS: herbert hoover\n\n\nMei Li:\nWhat was the first name of Stradivari, who lived 1644-1737, and is famous as a manufacturer of stringed musical instruments??\nShuai Zheng:\nantonio\n\n\nInput question: The medical condition Tinea Pedis is better known by what name?\n\nOutput answer: athlete s foot\n\n\nquestion: Answer this question.\n\nAs at January 2015 who is the leader of the Green Party in the UK?\nanswer: natalie bennett\n\n\nquestion: What is the answer: From which London station do you depart on a train journey to Cardiff?\nanswer: paddington\n\n\n<|start-PI|>Q: Originating in the US, what is the filling in a MoonPie?<|end-PI|>\nA:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>The MoonPie is a classic American confectionery treat that originated in Chattanooga, Tennessee, in the early 20th century. It consists of two soft, round graham cracker cookies sandwiching a rich, creamy filling. The MoonPie's signature filling is a key part of its appeal and has remained unchanged since its inception.<|start-KFI|>marshmallow<|end-KFI|>"}
| 291 | 0 |
flan_v2
|
flan_v2_461
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
Q: Name the NASA Mars Science Laboratory rover which landed on Mars in 2012?
-----
A: curiosity
Q: Who is the grandson of Sir Winston Churchill, who was also Minister for Food in the Thatcher cabinet?
-----
A: nicholas soames
<|start-PI|>Q: What is the first Christian name of ex British Prime Minister Gordon Brown ?<|end-PI|>
-----
A:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>james<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nQ: Name the NASA Mars Science Laboratory rover which landed on Mars in 2012?\n-----\nA: curiosity\n\n\nQ: Who is the grandson of Sir Winston Churchill, who was also Minister for Food in the Thatcher cabinet?\n-----\nA: nicholas soames\n\n\n<|start-PI|>Q: What is the first Christian name of ex British Prime Minister Gordon Brown ?<|end-PI|>\n-----\nA:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Gordon Brown, the former Prime Minister of the United Kingdom, was born on February 20, 1951. He served as Prime Minister from 2007 to 2010 and was the leader of the Labour Party. Brown's full name is James Gordon Brown. He was Chancellor of the Exchequer under Tony Blair before becoming Prime Minister. Brown is known for his role in shaping British economic policy and his efforts to address global financial crises.<|start-KFI|>james<|end-KFI|>"}
| 204 | 0 |
flan_v2
|
flan_v2_505
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
Q: In 1961, who became the first non- American golfer to win The Masters?
A: gary player
Q: "In Turkey, what is ""Galatasaray Spor Kulb""?"
A: soccer club
<|start-PI|>Q: Name the great old rival company of the Harley-Davidson motorbike corporation, whose models included the Chief and Scout?<|end-PI|>
A:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>indian<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nQ: In 1961, who became the first non- American golfer to win The Masters?\nA: gary player\n\nQ: \"In Turkey, what is \"\"Galatasaray Spor Kulb\"\"?\"\nA: soccer club\n\n<|start-PI|>Q: Name the great old rival company of the Harley-Davidson motorbike corporation, whose models included the Chief and Scout?<|end-PI|>\nA:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Indian is a historic American motorcycle manufacturer that was founded in 1901. It was one of the most prominent motorcycle brands in the early 20th century and a major competitor to Harley-Davidson. Indian motorcycles were known for their innovative designs, powerful engines, and iconic models like the Chief and Scout. The company went through various ownership changes and financial struggles over the years, eventually ceasing production in 1953. However, the Indian brand was revived in 2011 and is currently owned by Polaris Industries, producing modern motorcycles that pay homage to their rich heritage.<|start-KFI|>indian<|end-KFI|>"}
| 230 | 0 |
flan_v2
|
flan_v2_527
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
input: What is the answer to this question? when did young wild & free come out?
output: October 11, 2011
input: What is the answer to this question? who has the best football record in the nfl?
output: Chicago Bears
input: <|start-PI|>What is the answer to this question? who does the voice of vanellope in wreck it ralph?<|end-PI|>
output:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>Sarah Silverman<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\ninput: What is the answer to this question? when did young wild & free come out?\n\noutput: October 11, 2011\n\n\ninput: What is the answer to this question? who has the best football record in the nfl?\n\noutput: Chicago Bears\n\n\ninput: <|start-PI|>What is the answer to this question? who does the voice of vanellope in wreck it ralph?<|end-PI|>\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Vanellope von Schweetz is a main character in the Disney animated movie Wreck-It Ralph. She is a glitchy, energetic, and lovable character who is the princess of the Sugar Rush racing game. Sarah Silverman, an American actress and comedian, provided the voice of Vanellope von Schweetz in both Wreck-It Ralph (2012) and its sequel, Ralph Breaks the Internet (2018). Silverman's voice acting brought the character to life, capturing her playful and mischievous personality.<|start-KFI|>Sarah Silverman<|end-KFI|>"}
| 226 | 0 |
flan_v2
|
flan_v2_533
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
QUESTION: Trivia question: Who is the mortal enemy of Captain Pugwash?
****
ANS: cut throat jake
Mei Li:
In 1918 which newspaper mogul became the first UK Minister of Information??
Shuai Zheng:
lord beaverbrook
Input question: Which religious building gave the New Vaudeville Band a Top Five hit In 1966?
Output answer: winchester cathedral
question: Answer this question.
Which famous composer is on the back of the UK £20 banknote withdrawn in 2010?
answer: edward elgar
question: What is the answer: What ambulance service is a common name used by a number of affiliated organisations in different countries dedicated to the teaching and practice of medical first aid and the provision of ambulance services, all of which derive their origins from an association founded in 1877 in England?
answer: st john
<|start-PI|>Input question: The South American tradename 'chiclero' refers to a worker who collects the raw material for which hugely popular confectionery product?<|end-PI|>
Output answer:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>gum<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nQUESTION: Trivia question: Who is the mortal enemy of Captain Pugwash?\n****\nANS: cut throat jake\n\n\nMei Li:\nIn 1918 which newspaper mogul became the first UK Minister of Information??\nShuai Zheng:\nlord beaverbrook\n\n\nInput question: Which religious building gave the New Vaudeville Band a Top Five hit In 1966?\n\nOutput answer: winchester cathedral\n\n\nquestion: Answer this question.\n\nWhich famous composer is on the back of the UK \u00a320 banknote withdrawn in 2010?\nanswer: edward elgar\n\n\nquestion: What is the answer: What ambulance service is a common name used by a number of affiliated organisations in different countries dedicated to the teaching and practice of medical first aid and the provision of ambulance services, all of which derive their origins from an association founded in 1877 in England?\nanswer: st john\n\n\n<|start-PI|>Input question: The South American tradename 'chiclero' refers to a worker who collects the raw material for which hugely popular confectionery product?<|end-PI|>\n\nOutput answer:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Chicleros are workers in the tropical regions of Central and South America who harvest the sap of the sapodilla tree (Manilkara zapota). This sap, also known as chicle, is a natural latex that has been used for centuries in various applications. In the late 19th century, chicle became a crucial ingredient in the production of chewing gum. The unique properties of chicle make it an ideal base for chewing gum, allowing it to be soft and pliable yet resistant to heat and moisture. Today, chicleros continue to play a vital role in the global chewing gum industry, collecting chicle from the sapodilla trees in the rainforests of countries like Mexico, Guatemala, and Belize.<|start-KFI|>gum<|end-KFI|>"}
| 416 | 0 |
flan_v2
|
flan_v2_546
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
QUESTION: answer this: where is the city of new york located??
ANS: New York
input: What is the answer to this question? when did lionel messi started his football career?
output: 2002
In: what season of er did mark greene died??
Out: Season 8
Please answer this: who produced the way i am by eminem?
Eminem
Q: Answer this question:
germany's correctional system is based on what kind of law??
A: civil
<|start-PI|>Question: where do chicken wings and drumettes come from??<|end-PI|>
Answer:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>chicken wing section<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nQUESTION: answer this: where is the city of new york located??\n\nANS: New York\n\ninput: What is the answer to this question? when did lionel messi started his football career?\n\noutput: 2002\n\nIn: what season of er did mark greene died??\n\nOut: Season 8\n\nPlease answer this: who produced the way i am by eminem?\n\nEminem\n\nQ: Answer this question:\n\ngermany's correctional system is based on what kind of law??\n\nA: civil\n\n<|start-PI|>Question: where do chicken wings and drumettes come from??<|end-PI|>\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Chicken wings and drumettes are a popular food item that originates from the culinary traditions of the United States. They are derived from the wings of chickens, which are typically cut into three sections: the drumette, the wingette or flat, and the tip. The drumette is the meatiest part of the wing, resembling a small drumstick. It is usually separated from the rest of the wing during food preparation. Chicken wings have become a staple in many cuisines, often served as an appetizer or snack, and are commonly associated with sports events and social gatherings. They can be prepared in various ways, including baking, grilling, or deep-frying, and are often served with a variety of sauces and seasonings.<|start-KFI|>chicken wing section<|end-KFI|>"}
| 317 | 0 |
flan_v2
|
flan_v2_559
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
Generate a sentence that answers this question: "frozen rainfall falling leaves the northern hemisphere a carpeted"
Answer: cold environments are usually white in color from being covered in snow
question: What sentence would provide a factual answer to this question: "Some animals change their appearance completely during a stage of the life cycle known as"
answer: metamorphosis is a stage in the life cycle process of some animals
Problem: What is a random fact?
Answer: as temperature in an environment decreases , the amount of water an animal in that environment will lose will decrease
Problem: Generate a sentence that contains a fact.
cutting down trees in a forest causes the number of trees to decrease in that forest
Problem: Generate a sentence that contains a fact.
Sentence: electromagnets can be powered by electricity
Problem: What is a random fact?
Answer:
##ASSISTANT_RESPONSE:
<|start-PI|>adaptation is when<|end-PI|> <|retrieval|><|start-KFI|>an organism develops a trait over time for survival<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nGenerate a sentence that answers this question: \"frozen rainfall falling leaves the northern hemisphere a carpeted\"\n\nAnswer: cold environments are usually white in color from being covered in snow\nquestion: What sentence would provide a factual answer to this question: \"Some animals change their appearance completely during a stage of the life cycle known as\"\n\nanswer: metamorphosis is a stage in the life cycle process of some animals\nProblem: What is a random fact?\n\nAnswer: as temperature in an environment decreases , the amount of water an animal in that environment will lose will decrease\nProblem: Generate a sentence that contains a fact.\n\ncutting down trees in a forest causes the number of trees to decrease in that forest\nProblem: Generate a sentence that contains a fact.\nSentence: electromagnets can be powered by electricity\nProblem: What is a random fact?\n\nAnswer:\n\n##ASSISTANT_RESPONSE:\n<|start-PI|>adaptation is when<|end-PI|> <|retrieval|>Adaptation is a crucial process in the natural world. It refers to the gradual changes that occur in an organism's physical structure, behavior, or physiology over time. These changes are often in response to environmental pressures, such as climate, predators, or competition for resources. Adaptations can be seen in various forms, such as the development of camouflage, stronger limbs, or specialized senses. They are typically the result of natural selection, where individuals with advantageous traits are more likely to survive and reproduce, passing those traits on to their offspring. Adaptations can be found in all domains of life, from bacteria to complex organisms like plants and animals. They play a vital role in the survival and success of species in their respective environments.<|start-KFI|>an organism develops a trait over time for survival<|end-KFI|>"}
| 370 | 0 |
flan_v2
|
flan_v2_566
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
when did the last show of friends air???
Answer: May 6, 2004
who plays boss baby in the tv show???
Answer: JP Karliak
which book records three possible authors of the tao te ching with similar names???
Answer: Shiji
<|start-PI|>when was the decimal currency system started for use in india???<|end-PI|>
Answer:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>1 April 1957<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nwhen did the last show of friends air???\n\nAnswer: May 6, 2004\n\nwho plays boss baby in the tv show???\n\nAnswer: JP Karliak\n\nwhich book records three possible authors of the tao te ching with similar names???\n\nAnswer: Shiji\n\n<|start-PI|>when was the decimal currency system started for use in india???<|end-PI|>\n\nAnswer:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>The decimal currency system was introduced in India on April 1, 1957. This change was part of a broader effort to modernize the country's monetary system. Prior to this, India used a complex system of rupees, annas, and paise. The decimal system simplified transactions and made calculations easier for both businesses and individuals. The introduction of the decimal system was a significant step in India's economic development, making it easier to conduct international trade and facilitating everyday financial transactions.<|start-KFI|>1 April 1957<|end-KFI|>"}
| 214 | 0 |
flan_v2
|
flan_v2_574
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
QUESTION: Generate a question with a factual answer?
ANS: Which President will have two coins with his portrait on it?
QUESTION: Generate a question with a factual answer?
ANS: According to Plato, who was above the law?
QUESTION: Generate a question with a factual answer?
ANS: Where did Athanasius think Faith resides?
<|start-PI|>QUESTION: Generate a question with a factual answer?
ANS:<|end-PI|>
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>In what year are or racial categories first revised for the 2000 U.S. Census?<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nQUESTION: Generate a question with a factual answer?\n\nANS: Which President will have two coins with his portrait on it?\n\n\nQUESTION: Generate a question with a factual answer?\n\nANS: According to Plato, who was above the law?\n\n\nQUESTION: Generate a question with a factual answer?\n\nANS: Where did Athanasius think Faith resides?\n\n\n<|start-PI|>QUESTION: Generate a question with a factual answer?\n\nANS:<|end-PI|>\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>The United States Census Bureau has revised its racial categories several times throughout its history. One significant revision occurred in preparation for the 2000 U.S. Census. This revision aimed to improve the accuracy of racial and ethnic data collection. The changes included the addition of new categories and the option for respondents to select more than one race. This revision was implemented to better reflect the diversity of the American population and to provide more detailed information for policymakers and researchers. The 2000 U.S. Census was a significant milestone in the evolution of racial categorization in the United States.<|start-KFI|>In what year are or racial categories first revised for the 2000 U.S. Census?<|end-KFI|>"}
| 255 | 0 |
flan_v2
|
flan_v2_575
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
input: What is the answer to this question? who are the teams in super bowl 51?
output: New England Patriots
input: What is the answer to this question? when did the movie the burbs come out?
output: 1989
input: <|start-PI|>What is the answer to this question? who sang baby blue was the color of her eyes?<|end-PI|>
output:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>George Strait<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\ninput: What is the answer to this question? who are the teams in super bowl 51?\n\noutput: New England Patriots\n\n\ninput: What is the answer to this question? when did the movie the burbs come out?\n\noutput: 1989\n\n\ninput: <|start-PI|>What is the answer to this question? who sang baby blue was the color of her eyes?<|end-PI|>\n\noutput:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>\"Baby Blue\" is a song written by Bob Morrison and recorded by American country music artist George Strait. It was released in 1988 as the second single from his album If I Know Me. The song became a hit for Strait, reaching number one on the Billboard Hot Country Singles chart in 1988. The song's lyrics describe a man reminiscing about a past love, with the phrase \"baby blue was the color of her eyes\" being a memorable and iconic line in country music.<|start-KFI|>George Strait<|end-KFI|>"}
| 214 | 0 |
flan_v2
|
flan_v2_595
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
QUESTION: answer this: who is the richest man in new zealand??
ANS: Graeme Richard Hart
input: What is the answer to this question? who plays taserface in guardians of the galaxy?
output: Chris Sullivan
In: who sang at last my love has come??
Out: Etta James
Please answer this: where did brendas got a baby come from?
the plight of the impoverished
Q: Answer this question:
who played robin on the original batman series??
A: Burt Ward
Q: Answer this question:
<|start-PI|>who plays lenny bruce in the marvelous mrs maisel??<|end-PI|>
A:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>Luke Kirby<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nQUESTION: answer this: who is the richest man in new zealand??\n\nANS: Graeme Richard Hart\n\ninput: What is the answer to this question? who plays taserface in guardians of the galaxy?\n\noutput: Chris Sullivan\n\nIn: who sang at last my love has come??\n\nOut: Etta James\n\nPlease answer this: where did brendas got a baby come from?\n\nthe plight of the impoverished\n\nQ: Answer this question:\n\nwho played robin on the original batman series??\n\nA: Burt Ward\n\nQ: Answer this question:\n\n<|start-PI|>who plays lenny bruce in the marvelous mrs maisel??<|end-PI|>\n\nA:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Luke Kirby is an American actor who has gained recognition for his roles in various TV shows and films. One of his notable performances is in the Amazon Prime Video series \"The Marvelous Mrs. Maisel,\" where he portrays the character of Lenny Bruce. Lenny Bruce was a real-life comedian and social critic who was known for his provocative style and biting commentary on society. In the show, Kirby's portrayal of Bruce has received critical acclaim for its nuance and accuracy.<|start-KFI|>Luke Kirby<|end-KFI|>"}
| 277 | 0 |
flan_v2
|
flan_v2_614
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
QUESTION: Trivia question: Where did the worst rail disaster in British history occur in November 1952, when 112 people lost their lives?
****
ANS: harrow wealdstone
Mei Li:
When the ads. finished, keeper Molly Badham welcomed them back to which zoo??
Shuai Zheng:
twycross
Input question: Where in North Carolina did the Wright Brothers first flight take place?
Output answer: kitty hawk
question: Answer this question.
October 12, 1901 saw the old moniker of Executive Mansion replaced with the more familiar White House, when what total badass declared it so?
answer: teddy roosevelt
question: What is the answer: Who was leader of the ruling Argentinean 'Junta' in 1982?
answer: general galtieri
<|start-PI|>Q: What is the main ingredient of Duxelles sauce or Duxelles stuffing?<|end-PI|>
-----
A:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>mushrooms<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nQUESTION: Trivia question: Where did the worst rail disaster in British history occur in November 1952, when 112 people lost their lives?\n****\nANS: harrow wealdstone\n\n\nMei Li:\nWhen the ads. finished, keeper Molly Badham welcomed them back to which zoo??\nShuai Zheng:\ntwycross\n\n\nInput question: Where in North Carolina did the Wright Brothers first flight take place?\n\nOutput answer: kitty hawk\n\n\nquestion: Answer this question.\n\nOctober 12, 1901 saw the old moniker of Executive Mansion replaced with the more familiar White House, when what total badass declared it so?\nanswer: teddy roosevelt\n\n\nquestion: What is the answer: Who was leader of the ruling Argentinean 'Junta' in 1982?\nanswer: general galtieri\n\n\n<|start-PI|>Q: What is the main ingredient of Duxelles sauce or Duxelles stuffing?<|end-PI|>\n-----\nA:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Duxelles sauce and Duxelles stuffing are traditional French culinary preparations that originated in the 17th century. The main ingredient in both of these dishes is mushrooms. Specifically, Duxelles is made from a mixture of saut\u00e9ed mushrooms, onions, and herbs, which are then finely chopped and often used as a filling or flavor enhancer in various recipes. The mushrooms used in Duxelles are typically a combination of wild mushrooms such as shiitake, cremini, and button mushrooms. The preparation process involves slowly cooking the mushrooms in butter until they release their moisture and develop a rich, earthy flavor. This mixture is then seasoned with salt, pepper, and sometimes additional herbs like thyme or parsley. The resulting Duxelles sauce or stuffing is often used in dishes like beef Wellington, p\u00e2t\u00e9, and various savory pastries.<|start-KFI|>mushrooms<|end-KFI|>"}
| 426 | 0 |
flan_v2
|
flan_v2_627
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
Problem: The rumba was originally danced where?
======
A: cuba
Q: The Household Cavalry is made up of two regiments, the Life Guards and which other regiment?
A: blues and royals
Problem: On 3 July 1844, which bird became extinct when the last two were killed by hunters?
Answer: great auk
Q: In which town is the University of Surrey?
-----
A: guildford
Q: What rank in the British Amy was the equivalent to a Standartenfuhrer in the S.S.
What is the answer?
A: colonel
Mei Li:
<|start-PI|>What was the name of the policy making body of the USSR before it broke up??<|end-PI|>
Shuai Zheng:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>politburo<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nProblem: The rumba was originally danced where?\n======\nA: cuba\n\n\nQ: The Household Cavalry is made up of two regiments, the Life Guards and which other regiment?\nA: blues and royals\n\n\nProblem: On 3 July 1844, which bird became extinct when the last two were killed by hunters?\nAnswer: great auk\n\n\nQ: In which town is the University of Surrey?\n-----\nA: guildford\n\n\nQ: What rank in the British Amy was the equivalent to a Standartenfuhrer in the S.S.\nWhat is the answer?\n\nA: colonel\n\n\nMei Li:\n<|start-PI|>What was the name of the policy making body of the USSR before it broke up??<|end-PI|>\nShuai Zheng:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>The Politburo was the highest policy-making body in the Soviet Union. It was established in 1917 and played a crucial role in shaping the country's political direction until its dissolution in 1991. The Politburo was responsible for making key decisions on domestic and foreign policy, overseeing the implementation of communist ideology, and controlling the Soviet government's various branches. Its members were typically high-ranking officials of the Communist Party of the Soviet Union, including the General Secretary, who held significant influence over the Politburo's decisions.<|start-KFI|>politburo<|end-KFI|>"}
| 308 | 0 |
flan_v2
|
flan_v2_695
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
Question: London is a leading global city, with strengths in the arts, commerce, education, entertainment, fashion, finance, healthcare, media, professional services, research and development, tourism, and transport all contributing to its prominence. It is one of the world's leading financial centres and has the fifth-or sixth-largest metropolitan area GDP in the world depending on measurement.[note 3] London is a world cultural capital. It is the world's most-visited city as measured by international arrivals and has the world's largest city airport system measured by passenger traffic. London is one of the world's leading investment destinations, hosting more international retailers and ultra high-net-worth individuals than any other city. London's 43 universities form the largest concentration of higher education institutes in Europe, and a 2014 report placed it first in the world university rankings. According to the report London also ranks first in the world in software, multimedia development and design, and shares first position in technology readiness. In 2012, London became the first city to host the modern Summer Olympic Games three times.
Try to answer this question if possible: What measurement designates London as the world's most visited city?
Answer: international arrivals
Question: The Soviet Union, which feared Western powers and the possibility of "capitalist encirclements", had little faith either that war could be avoided, or faith in the Polish army, and wanted nothing less than an ironclad military alliance with France and Britain that would provide a guaranteed support for a two-pronged attack on Germany; thus, Stalin's adherence to the collective security line was purely conditional. Britain and France believed that war could still be avoided, and that the Soviet Union, weakened by the Great Purge, could not be a main military participant, a point that many military sources were at variance with, especially Soviet victories over the Japanese Kwantung army on the Manchurian frontier. France was more anxious to find an agreement with the USSR than was Britain; as a continental power, it was more willing to make concessions, more fearful of the dangers of an agreement between the USSR and Germany. These contrasting attitudes partly explain why the USSR has often been charged with playing a double game in 1939: carrying on open negotiations for an alliance with Britain and France while secretly considering propositions from Germany.
Try to answer this question if possible: Why did western power believe that the soviet government wouldn't partake in another world war?
Answer: Great Purge
Question: Dominic became the spiritual father to several Albigensian women he had reconciled to the faith, and in 1206 he established them in a convent in Prouille. This convent would become the foundation of the Dominican nuns, thus making the Dominican nuns older than the Dominican friars. Prior Diego sanctioned the building of a monastery for girls whose parents had sent them to the care of the Albigensians because their families were too poor to fulfill their basic needs. The monastery was at Prouille would later become Dominic's headquarters for his missionary effort there. After two years on the mission field, Prior Diego died while traveling back to Spain. When his preaching companions heard of his death, all save Dominic and a very small number of others returned to their homes.
Try to answer this question if possible: What did Dominic establish in 1306?
Answer: unanswerable
Question: Baptist missionary work in Canada began in the British colony of Nova Scotia (present day Nova Scotia and New Brunswick) in the 1760s. The first official record of a Baptist church in Canada was that of the Horton Baptist Church (now Wolfville) in Wolfville, Nova Scotia on 29 October 1778. The church was established with the assistance of the New Light evangelist Henry Alline. Many of Alline's followers, after his death, would convert and strengthen the Baptist presence in the Atlantic region.[page needed] Two major groups of Baptists formed the basis of the churches in the Maritimes. These were referred to as Regular Baptist (Calvinistic in their doctrine) and Free Will Baptists.
Try to answer this question if possible: <|start-PI|>Missionary work began in what Canadian colony?<|end-PI|>
Answer:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>Nova Scotia<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nQuestion: London is a leading global city, with strengths in the arts, commerce, education, entertainment, fashion, finance, healthcare, media, professional services, research and development, tourism, and transport all contributing to its prominence. It is one of the world's leading financial centres and has the fifth-or sixth-largest metropolitan area GDP in the world depending on measurement.[note 3] London is a world cultural capital. It is the world's most-visited city as measured by international arrivals and has the world's largest city airport system measured by passenger traffic. London is one of the world's leading investment destinations, hosting more international retailers and ultra high-net-worth individuals than any other city. London's 43 universities form the largest concentration of higher education institutes in Europe, and a 2014 report placed it first in the world university rankings. According to the report London also ranks first in the world in software, multimedia development and design, and shares first position in technology readiness. In 2012, London became the first city to host the modern Summer Olympic Games three times.\nTry to answer this question if possible: What measurement designates London as the world's most visited city?\nAnswer: international arrivals\nQuestion: The Soviet Union, which feared Western powers and the possibility of \"capitalist encirclements\", had little faith either that war could be avoided, or faith in the Polish army, and wanted nothing less than an ironclad military alliance with France and Britain that would provide a guaranteed support for a two-pronged attack on Germany; thus, Stalin's adherence to the collective security line was purely conditional. Britain and France believed that war could still be avoided, and that the Soviet Union, weakened by the Great Purge, could not be a main military participant, a point that many military sources were at variance with, especially Soviet victories over the Japanese Kwantung army on the Manchurian frontier. France was more anxious to find an agreement with the USSR than was Britain; as a continental power, it was more willing to make concessions, more fearful of the dangers of an agreement between the USSR and Germany. These contrasting attitudes partly explain why the USSR has often been charged with playing a double game in 1939: carrying on open negotiations for an alliance with Britain and France while secretly considering propositions from Germany.\nTry to answer this question if possible: Why did western power believe that the soviet government wouldn't partake in another world war?\nAnswer: Great Purge\nQuestion: Dominic became the spiritual father to several Albigensian women he had reconciled to the faith, and in 1206 he established them in a convent in Prouille. This convent would become the foundation of the Dominican nuns, thus making the Dominican nuns older than the Dominican friars. Prior Diego sanctioned the building of a monastery for girls whose parents had sent them to the care of the Albigensians because their families were too poor to fulfill their basic needs. The monastery was at Prouille would later become Dominic's headquarters for his missionary effort there. After two years on the mission field, Prior Diego died while traveling back to Spain. When his preaching companions heard of his death, all save Dominic and a very small number of others returned to their homes.\nTry to answer this question if possible: What did Dominic establish in 1306?\nAnswer: unanswerable\nQuestion: Baptist missionary work in Canada began in the British colony of Nova Scotia (present day Nova Scotia and New Brunswick) in the 1760s. The first official record of a Baptist church in Canada was that of the Horton Baptist Church (now Wolfville) in Wolfville, Nova Scotia on 29 October 1778. The church was established with the assistance of the New Light evangelist Henry Alline. Many of Alline's followers, after his death, would convert and strengthen the Baptist presence in the Atlantic region.[page needed] Two major groups of Baptists formed the basis of the churches in the Maritimes. These were referred to as Regular Baptist (Calvinistic in their doctrine) and Free Will Baptists.\nTry to answer this question if possible: <|start-PI|>Missionary work began in what Canadian colony?<|end-PI|>\nAnswer:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Baptist missionary work in Canada began in the British colony of Nova Scotia in the 1760s. This marked the start of Baptist presence in Canada. Nova Scotia, which is now part of the provinces of Nova Scotia and New Brunswick, was the first region in Canada where Baptist missionaries established themselves. The early Baptist missionaries in Nova Scotia played a significant role in shaping the Baptist movement in Canada, particularly in the Maritime provinces. The establishment of the Horton Baptist Church in Wolfville, Nova Scotia in 1778 was a key milestone in this process.<|start-KFI|>Nova Scotia<|end-KFI|>"}
| 1,001 | 0 |
flan_v2
|
flan_v2_719
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
Answer this question: how many episodes in all of dragon ball super??
131
Answer this question: who ranks higher secretary of state or chief of staff??
Secretary of State
Answer this question: how many episodes in wayward pines season 2??
10
<|start-PI|>Answer this question: longest and most expensive trial in us history??<|end-PI|>
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>The McMartin preschool trial<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nAnswer this question: how many episodes in all of dragon ball super??\n\n131\n\n\nAnswer this question: who ranks higher secretary of state or chief of staff??\n\nSecretary of State\n\n\nAnswer this question: how many episodes in wayward pines season 2??\n\n10\n\n\n<|start-PI|>Answer this question: longest and most expensive trial in us history??<|end-PI|>\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>The McMartin preschool trial was a highly publicized and controversial criminal trial in the United States that took place from 1987 to 1990. It was a child sexual abuse case involving the McMartin Preschool in Manhattan Beach, California. The trial lasted for six years, making it the longest criminal trial in American history at the time. It was also one of the most expensive trials in U.S. history, with estimated costs ranging from $15 million to $20 million. The trial involved seven defendants, including the school's owners and several teachers, who were accused of sexually abusing dozens of children. The case was marked by allegations of satanic ritual abuse and other bizarre claims, which were later discredited. In the end, no convictions were obtained, and many of the charges were dropped due to lack of evidence. The McMartin trial remains a significant example of the dangers of mass hysteria and false accusations in the context of child abuse cases.<|start-KFI|>The McMartin preschool trial<|end-KFI|>"}
| 303 | 0 |
flan_v2
|
flan_v2_721
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
Problem: Which Shipping Forecast area lies south of South Utsire?
======
A: fisher
Problem: On which river does Verona stand?
======
A: adige
Problem: Who was on the throne of England in 1400?
======
A: henry iv
<|start-PI|>Problem: Commander of the Coalition forces during the First Gulf War, which general had the nickname Stormin' Norman?<|end-PI|>
======
A:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>h norman schwarzkopf<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nProblem: Which Shipping Forecast area lies south of South Utsire?\n======\nA: fisher\n\n\nProblem: On which river does Verona stand?\n======\nA: adige\n\n\nProblem: Who was on the throne of England in 1400?\n======\nA: henry iv\n\n\n<|start-PI|>Problem: Commander of the Coalition forces during the First Gulf War, which general had the nickname Stormin' Norman?<|end-PI|>\n======\nA:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>General Norman Schwarzkopf Jr. was a renowned American Army general who played a crucial role in the Gulf War. Born on August 22, 1934, Schwarzkopf graduated from the United States Military Academy at West Point in 1956. He served in various military positions throughout his career, including commanding the 24th Mechanized Infantry Division during the invasion of Grenada in 1983. In 1990, Schwarzkopf was appointed as the Commander-in-Chief of the United States Central Command (CENTCOM), overseeing military operations in the Middle East. During the First Gulf War, he led the Coalition forces to a decisive victory against Iraq in 1991. His leadership and strategic planning earned him the nickname \"Stormin' Norman.\"<|start-KFI|>h norman schwarzkopf<|end-KFI|>"}
| 290 | 0 |
flan_v2
|
flan_v2_737
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
Input question: What city was blockaded by the Soviets in 1948, forcing other countries to airlift in supplies?
Output answer: west berlin
Input question: Who is the current holder (May 2009) of the Olympic and World record for the 100 metres at 9.69 seconds?
Output answer: usain bolt
Input question: Which scientist wrote a letter to a friend in 1704 in which he predicted the end of the world in 2060?
Output answer: sir isaac newton
<|start-PI|>Input question: For which young king did Edward Seymour, Duke of Somerset, act as regent or protector?<|end-PI|>
Output answer:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>edward vi<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nInput question: What city was blockaded by the Soviets in 1948, forcing other countries to airlift in supplies?\n\nOutput answer: west berlin\n\nInput question: Who is the current holder (May 2009) of the Olympic and World record for the 100 metres at 9.69 seconds?\n\nOutput answer: usain bolt\n\nInput question: Which scientist wrote a letter to a friend in 1704 in which he predicted the end of the world in 2060?\n\nOutput answer: sir isaac newton\n\n<|start-PI|>Input question: For which young king did Edward Seymour, Duke of Somerset, act as regent or protector?<|end-PI|>\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Edward Seymour, Duke of Somerset, played a crucial role in English history during the 16th century. He was a prominent military leader and politician who served as Lord Protector of England during the minority of King Edward VI. Edward VI was the son of King Henry VIII and succeeded to the throne at the age of nine after his father's death in 1547. Due to his young age, a regency council was established to govern the country until he came of age. Edward Seymour, being the king's uncle, was appointed as the Lord Protector of the Realm and effectively ruled England on behalf of the young monarch. Seymour's regency lasted from 1547 to 1549, during which time he implemented various reforms and policies, including the introduction of Protestantism in England.<|start-KFI|>edward vi<|end-KFI|>"}
| 325 | 0 |
flan_v2
|
flan_v2_755
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
Problem: Labour improved its performance in 1987, gaining 20 seats and so reducing the Conservative majority from 143 to 102. They were now firmly re-established as the second political party in Britain as the Alliance had once again failed to make a breakthrough with seats. A merger of the SDP and Liberals formed the Liberal Democrats. Following the 1987 election, the National Executive Committee resumed disciplinary action against members of Militant, who remained in the party, leading to further expulsions of their activists and the two MPs who supported the group.
Who did the NEC expel
The answer is the following: activists and the two MPs who supported the group.
Problem: Queen began their 1980s career with The Game. It featured the singles "Crazy Little Thing Called Love" and "Another One Bites the Dust", both of which reached number one in the US. After attending a Queen concert in Los Angeles, Michael Jackson suggested to Mercury backstage that "Another One Bites the Dust" be released as a single, and in October 1980 it spent three weeks at number one. The album topped the Billboard 200 for five weeks, and sold over four million copies in the US. It was also the first appearance of a synthesiser on a Queen album. Heretofore, their albums featured a distinctive "No Synthesisers!" sleeve note. The note is widely assumed to reflect an anti-synth, pro-"hard"-rock stance by the band, but was later revealed by producer Roy Thomas Baker to be an attempt to clarify that those albums' multi-layered solos were created with guitars, not synths, as record company executives kept assuming at the time. In September 1980, Queen performed three sold-out shows at Madison Square Garden. In 1980, Queen also released the soundtrack they had recorded for Flash Gordon. At the 1981 American Music Awards in January, "Another One Bites the Dust" won the award for Favorite Pop/Rock Single, and Queen were nominated for Favorite Pop/Rock Band, Duo, or Group.
Which musical artist suggested Queen release Another One Bites the Dust as a single?
The answer is the following: Michael Jackson
Problem: Natural uranium consists of three major isotopes: uranium-238 (99.28% natural abundance), uranium-235 (0.71%), and uranium-234 (0.0054%). All three are radioactive, emitting alpha particles, with the exception that all three of these isotopes have small probabilities of undergoing spontaneous fission, rather than alpha emission. There are also five other trace isotopes: uranium-239, which is formed when 238U undergoes spontaneous fission, releasing neutrons that are captured by another 238U atom; uranium-237, which is formed when 238U captures a neutron but emits two more, which then decays to neptunium-237; uranium-233, which is formed in the decay chain of that neptunium-237; and finally, uranium-236 and -240, which appear in the decay chain of primordial plutonium-244. It is also expected that thorium-232 should be able to undergo double beta decay, which would produce uranium-232, but this has not yet been observed experimentally.
What is the least prevalent major isotope of natural uranium?
The answer is the following: uranium-234
<|start-PI|>Problem: In 2015, fragments of a very early Quran, dating back to 1370 years ago, were discovered in the library of the University of Birmingham, England. According to the tests carried out by Oxford University Radiocarbon Accelerator Unit, "with a probability of more than 95%, the parchment was from between 568 and 645". The manuscript is written in Hijazi script, an early form of written Arabic. This is possibly the earliest extant exemplar of the Quran, but as the tests allow a range of possible dates, it cannot be said with certainty which of the existing versions is the oldest. Saudi scholar Saud al-Sarhan has expressed doubt over the age of the fragments as they contain dots and chapter separators that are believed to have originated later.<|end-PI|>
How many years old were the Quran fragments discovered in Birmingham in 2015?
The answer is the following:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>1370<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nProblem: Labour improved its performance in 1987, gaining 20 seats and so reducing the Conservative majority from 143 to 102. They were now firmly re-established as the second political party in Britain as the Alliance had once again failed to make a breakthrough with seats. A merger of the SDP and Liberals formed the Liberal Democrats. Following the 1987 election, the National Executive Committee resumed disciplinary action against members of Militant, who remained in the party, leading to further expulsions of their activists and the two MPs who supported the group.\nWho did the NEC expel \nThe answer is the following: activists and the two MPs who supported the group.\n\nProblem: Queen began their 1980s career with The Game. It featured the singles \"Crazy Little Thing Called Love\" and \"Another One Bites the Dust\", both of which reached number one in the US. After attending a Queen concert in Los Angeles, Michael Jackson suggested to Mercury backstage that \"Another One Bites the Dust\" be released as a single, and in October 1980 it spent three weeks at number one. The album topped the Billboard 200 for five weeks, and sold over four million copies in the US. It was also the first appearance of a synthesiser on a Queen album. Heretofore, their albums featured a distinctive \"No Synthesisers!\" sleeve note. The note is widely assumed to reflect an anti-synth, pro-\"hard\"-rock stance by the band, but was later revealed by producer Roy Thomas Baker to be an attempt to clarify that those albums' multi-layered solos were created with guitars, not synths, as record company executives kept assuming at the time. In September 1980, Queen performed three sold-out shows at Madison Square Garden. In 1980, Queen also released the soundtrack they had recorded for Flash Gordon. At the 1981 American Music Awards in January, \"Another One Bites the Dust\" won the award for Favorite Pop/Rock Single, and Queen were nominated for Favorite Pop/Rock Band, Duo, or Group.\nWhich musical artist suggested Queen release Another One Bites the Dust as a single?\nThe answer is the following: Michael Jackson\n\nProblem: Natural uranium consists of three major isotopes: uranium-238 (99.28% natural abundance), uranium-235 (0.71%), and uranium-234 (0.0054%). All three are radioactive, emitting alpha particles, with the exception that all three of these isotopes have small probabilities of undergoing spontaneous fission, rather than alpha emission. There are also five other trace isotopes: uranium-239, which is formed when 238U undergoes spontaneous fission, releasing neutrons that are captured by another 238U atom; uranium-237, which is formed when 238U captures a neutron but emits two more, which then decays to neptunium-237; uranium-233, which is formed in the decay chain of that neptunium-237; and finally, uranium-236 and -240, which appear in the decay chain of primordial plutonium-244. It is also expected that thorium-232 should be able to undergo double beta decay, which would produce uranium-232, but this has not yet been observed experimentally.\nWhat is the least prevalent major isotope of natural uranium?\nThe answer is the following: uranium-234\n\n<|start-PI|>Problem: In 2015, fragments of a very early Quran, dating back to 1370 years ago, were discovered in the library of the University of Birmingham, England. According to the tests carried out by Oxford University Radiocarbon Accelerator Unit, \"with a probability of more than 95%, the parchment was from between 568 and 645\". The manuscript is written in Hijazi script, an early form of written Arabic. This is possibly the earliest extant exemplar of the Quran, but as the tests allow a range of possible dates, it cannot be said with certainty which of the existing versions is the oldest. Saudi scholar Saud al-Sarhan has expressed doubt over the age of the fragments as they contain dots and chapter separators that are believed to have originated later.<|end-PI|>\nHow many years old were the Quran fragments discovered in Birmingham in 2015?\nThe answer is the following:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>The Quran fragments discovered in Birmingham in 2015 were found to be extremely old, dating back to the early days of Islam. The radiocarbon dating tests conducted by Oxford University Radiocarbon Accelerator Unit provided a range of possible dates for the parchment. With a high probability of over 95%, the tests indicated that the parchment was created between 568 and 645 CE. This means that the fragments were at least 1,370 years old when they were discovered in 2015. The discovery of these ancient Quran fragments is significant for Islamic studies and provides valuable insights into the early history of the Quran.<|start-KFI|>1370<|end-KFI|>"}
| 1,037 | 0 |
flan_v2
|
flan_v2_759
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
QUESTION: answer this: where did kevin's family go in home alone 1??
ANS: Paris
input: What is the answer to this question? when does the us open tennis start in 2017?
output: August 28
In: who played the unknown comic on the gong show??
Out: Murray Langston
Please answer this: . who created the plan that became know as the great compromise?
Oliver Ellsworth
Q: Answer this question:
who was in the parlor eating bread and honey??
A: The queen
Q: Answer this question:
<|start-PI|>when did the first printing press come out??<|end-PI|>
A:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>1234<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nQUESTION: answer this: where did kevin's family go in home alone 1??\n\nANS: Paris\n\ninput: What is the answer to this question? when does the us open tennis start in 2017?\n\noutput: August 28\n\nIn: who played the unknown comic on the gong show??\n\nOut: Murray Langston\n\nPlease answer this: . who created the plan that became know as the great compromise?\n\nOliver Ellsworth\n\nQ: Answer this question:\n\nwho was in the parlor eating bread and honey??\n\nA: The queen\n\nQ: Answer this question:\n\n<|start-PI|>when did the first printing press come out??<|end-PI|>\n\nA:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>The first printing press was invented by Johannes Gutenberg in the 15th century. This revolutionary device allowed for mass production of printed materials, such as books, pamphlets, and newspapers. Gutenberg's press, which used moveable metal type, was first demonstrated in 1440 in Mainz, Germany. It quickly spread throughout Europe, playing a crucial role in the dissemination of knowledge during the Renaissance and beyond.<|start-KFI|>1234<|end-KFI|>"}
| 264 | 0 |
flan_v2
|
flan_v2_769
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
QUESTION: answer this: when did the first black panther comic come out??
ANS: July 1966
input: What is the answer to this question? name of the three headed dog in greek mythology?
output: Cerberus
In: is there any twins in the duggar family??
Out: twice with twins
Please answer this: who spoke to the dry bones in the bible?
the prophet Ezekiel
Q: Answer this question:
who sings the original scooby doo theme song??
A: Larry Marks
<|start-PI|>Question: who has played peter barlow in coronation street?<|end-PI|>
Answer:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>David Lonsdale (1986)<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nQUESTION: answer this: when did the first black panther comic come out??\n\nANS: July 1966\n\ninput: What is the answer to this question? name of the three headed dog in greek mythology?\n\noutput: Cerberus\n\nIn: is there any twins in the duggar family??\n\nOut: twice with twins\n\nPlease answer this: who spoke to the dry bones in the bible?\n\nthe prophet Ezekiel\n\nQ: Answer this question:\n\nwho sings the original scooby doo theme song??\n\nA: Larry Marks\n\n<|start-PI|>Question: who has played peter barlow in coronation street?<|end-PI|>\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Peter Barlow is a long-running character in the British soap opera Coronation Street. He has been portrayed by several actors over the years. The most well-known and longest-serving actor to play Peter Barlow is Chris Gascoyne, who first took on the role in 2000 and has continued to play the character on and off until the present day. However, before Gascoyne, there was another actor who played Peter Barlow.<|start-KFI|>David Lonsdale (1986)<|end-KFI|>"}
| 266 | 0 |
flan_v2
|
flan_v2_779
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
Question: heisman trophy winner that played in the nba?
Answer: Charlie Ward Jr.
Question: who conquered the persian empire and most of the ancient world?
Answer: Islamic caliphate
<|start-PI|>Question: when different parties control the white house and congress?<|end-PI|>
Answer:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>divided government<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nQuestion: heisman trophy winner that played in the nba?\n\nAnswer: Charlie Ward Jr.\n\n\nQuestion: who conquered the persian empire and most of the ancient world?\n\nAnswer: Islamic caliphate\n\n\n<|start-PI|>Question: when different parties control the white house and congress?<|end-PI|>\n\nAnswer:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>In the United States political system, a divided government occurs when different political parties hold majorities in different branches of government. This can happen when one party controls the presidency while the other party controls one or both houses of Congress. Divided government can lead to increased political polarization and gridlock, as each party may have different priorities and agendas. It can also result in compromise and bipartisanship, as parties must work together to pass legislation. Divided government has been a common occurrence in American politics, particularly in recent decades.<|start-KFI|>divided government<|end-KFI|>"}
| 201 | 0 |
flan_v2
|
flan_v2_787
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
QUESTION: Trivia question: 'Hit and Miss' was the theme tune to which TV pop show?
****
ANS: juke box jury
Mei Li:
Which famous hymn begins with the words'Sowing in the morning, sowing seeds of kindness, sowing in the noontide with the dewy eye'??
Shuai Zheng:
bringing in sheaves
Input question: In 1797 Horatio Nelson lost his right arm during a battle for which island?
Output answer: tenerife
question: Answer this question.
"Who originated the ""Mr Men"" series of books?"
answer: roger hargreaves
question: What is the answer: What is the name of the Barlow's border terrier in Coronation Street?
answer: eccles
<|start-PI|>question: What is the answer: Sgurr Alasdair is the highest point of which British island?<|end-PI|>
answer:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>skye<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nQUESTION: Trivia question: 'Hit and Miss' was the theme tune to which TV pop show?\n****\nANS: juke box jury\n\n\nMei Li:\nWhich famous hymn begins with the words'Sowing in the morning, sowing seeds of kindness, sowing in the noontide with the dewy eye'??\nShuai Zheng:\nbringing in sheaves\n\n\nInput question: In 1797 Horatio Nelson lost his right arm during a battle for which island?\n\nOutput answer: tenerife\n\n\nquestion: Answer this question.\n\n\"Who originated the \"\"Mr Men\"\" series of books?\"\nanswer: roger hargreaves\n\n\nquestion: What is the answer: What is the name of the Barlow's border terrier in Coronation Street?\nanswer: eccles\n\n\n<|start-PI|>question: What is the answer: Sgurr Alasdair is the highest point of which British island?<|end-PI|>\nanswer:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Sgurr Alasdair is a mountain located on the Isle of Skye in Scotland. It is the highest point on the island, standing at a height of 992 meters (3,255 feet) above sea level. The mountain is part of the Cuillin Hills, a rugged and scenic range that dominates the landscape of Skye. The Cuillin Hills are known for their dramatic peaks and challenging hiking routes, attracting many outdoor enthusiasts and nature lovers to the area. Sgurr Alasdair is considered one of the most iconic and difficult climbs in the Cuillin range, requiring a high level of skill and physical fitness.<|start-KFI|>skye<|end-KFI|>"}
| 365 | 0 |
flan_v2
|
flan_v2_808
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
QUESTION: answer this: what are the giant cactus called in arizona??
ANS: saguaro
QUESTION: answer this: who was the first captain of pakistan cricket team??
ANS: Abdul Hafeez Kardar
<|start-PI|>QUESTION: answer this: in 2018 which team did india defeat in the final to win the icc u19??<|end-PI|>
ANS:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>Australia<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nQUESTION: answer this: what are the giant cactus called in arizona??\n\nANS: saguaro\n\n\nQUESTION: answer this: who was the first captain of pakistan cricket team??\n\nANS: Abdul Hafeez Kardar\n\n\n<|start-PI|>QUESTION: answer this: in 2018 which team did india defeat in the final to win the icc u19??<|end-PI|>\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>The 2018 ICC Under-19 Cricket World Cup was held in New Zealand from January 13 to February 3, 2018. The tournament featured 16 teams from around the world. India, led by captain Prithvi Shaw, dominated the competition throughout the tournament. In the final match, India faced Australia at the Bay Oval in Mount Maunganui. India batted first and scored 217 runs, with Manjot Kalra top-scoring with 101 not out. Australia was bowled out for 216 runs in response, with Ishan Porel taking 2/23 and Shiva Singh taking 2/36. India won the match by 8 runs, claiming their fourth ICC Under-19 World Cup title.<|start-KFI|>Australia<|end-KFI|>"}
| 262 | 0 |
flan_v2
|
flan_v2_851
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
last driver to race indy 500 and coca cola 600???
Answer: Busch
Question: who won the mens doubles at wimbledon 2018?
Answer: Jack Sock
Answer this question: who burned down atlanta in the civil war??
Confederate Gen. John Bell Hood
Q: who sings i wanna be like you jungle book 2016?A: Christopher Walken
Input: queen of the iceni who revolted against the romans codycross?
Output: Boudica
<|start-PI|>what is used to measure the speed of a stream???<|end-PI|>
Answer:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>pitot tube<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nlast driver to race indy 500 and coca cola 600???\n\nAnswer: Busch\n\nQuestion: who won the mens doubles at wimbledon 2018?\n\nAnswer: Jack Sock\n\nAnswer this question: who burned down atlanta in the civil war??\n\nConfederate Gen. John Bell Hood\n\nQ: who sings i wanna be like you jungle book 2016?A: Christopher Walken\n\nInput: queen of the iceni who revolted against the romans codycross?\n\nOutput: Boudica\n\n<|start-PI|>what is used to measure the speed of a stream???<|end-PI|>\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>A pitot tube is a device used to measure the velocity of fluids, particularly in the context of fluid dynamics and hydrology. It is commonly employed to determine the speed of water in streams, rivers, and other bodies of water. The pitot tube works by measuring the difference in pressure between the static pressure of the surrounding fluid and the stagnation pressure at the tip of the tube, which is proportional to the square of the fluid velocity. This allows researchers and engineers to accurately calculate the speed of the fluid flow. Pitot tubes are widely used in various fields, including oceanography, limnology, and environmental monitoring, to study water flow patterns and velocities in different aquatic environments.<|start-KFI|>pitot tube<|end-KFI|>"}
| 301 | 0 |
flan_v2
|
flan_v2_864
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
Question: Carl August Nielsen (Danish: [ka:l 'nelsn]; 9 June 1865 - 3 October 1931) was a Danish musician, conductor and violinist, widely recognized as his country's most prominent composer. Brought up by poor but musically talented parents on the island of Funen, he demonstrated his musical abilities at an early age. He initially played in a military band before attending the Royal Danish Academy of Music in Copenhagen from 1884 until December 1886.
While travelling, Nielsen discovered and then turned against Richard Wagner's music dramas, heard many of Europe's leading orchestras and soloists and sharpened his opinions on both music and the visual arts. Although he revered the music of Bach and Mozart, he remained ambivalent about much 19th-century music. In 1891 he met the composer and pianist Ferruccio Busoni in Leipzig; they were to maintain a correspondence for over thirty years. Shortly after arriving in Paris in early March 1891 Nielsen met the Danish sculptor Anne Marie Brodersen, who was also travelling on a scholarship. They toured Italy together and married in St Mark's English Church, Florence, on 10 May 1891 before returning to Denmark. According to Fanning, their relationship was not only a "love match", but also a "meeting of minds"; Anne Marie was a gifted artist and a "strong-willed and modern-minded woman, determined to forge her own career". This determination would strain the Nielsens' marriage, as Anne Marie would spend months away from home during the 1890s and 1900s, leaving Carl, who was susceptible to opportunities with other ladies, to raise their three young children in addition to composing and fulfilling his duties at the Royal Theatre. Nielsen sublimated his anger and frustration over his marriage in a number of musical works, most notably between 1897 and 1904, a period which he sometimes called his "psychological" period. Fanning writes, "At this time his interest in the driving forces behind human personality crystallized in the opera Saul and David and the Second Symphony (The Four Temperaments) and the cantatas Hymnus amoris and Sovnen". Carl suggested divorce in March 1905 and had considered moving to Germany for a fresh start, but despite several extended periods of separation the Nielsens remained married for the remainder of the composer's life. <|start-PI|>Nielsen had five children, two of them illegitimate.<|end-PI|> <|retrieval|> <|start-KFI|>He had already fathered a son, Carl August Nielsen, in January 1888, before he met Anne Marie. In 1912, an illegitimate daughter was born - Rachel Siegmann, about whom Anne Marie never learned.<|end-KFI|> With his wife Nielsen had two daughters and a son. Irmelin, the elder daughter, studied music theory with her father and in December 1919 married Eggert Moller (1893-1978), a medical doctor who became a professor at the University of Copenhagen and director of the polyclinic at the National Hospital. The younger daughter Anne Marie, who graduated from the Copenhagen Academy of Arts, married the Hungarian violinist Emil Telmanyi (1892-1988) in 1918; he contributed to the promotion of Nielsen's music, both as a violinist and a conductor. Nielsen's son, Hans Borge, was handicapped as a result of meningitis and spent most of his life away from the family. He died near Kolding in 1956.
Using a quote from the above article, answer the following question: What were the names of the two illegitimate children?
HHHHHH
Answer:
##ASSISTANT_RESPONSE:
Carl August Nielsen, in January 1888, before he met Anne Marie. In 1912, an illegitimate daughter was born - Rachel Siegmann,
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nQuestion: Carl August Nielsen (Danish: [ka:l 'nelsn]; 9 June 1865 - 3 October 1931) was a Danish musician, conductor and violinist, widely recognized as his country's most prominent composer. Brought up by poor but musically talented parents on the island of Funen, he demonstrated his musical abilities at an early age. He initially played in a military band before attending the Royal Danish Academy of Music in Copenhagen from 1884 until December 1886.\n\nWhile travelling, Nielsen discovered and then turned against Richard Wagner's music dramas, heard many of Europe's leading orchestras and soloists and sharpened his opinions on both music and the visual arts. Although he revered the music of Bach and Mozart, he remained ambivalent about much 19th-century music. In 1891 he met the composer and pianist Ferruccio Busoni in Leipzig; they were to maintain a correspondence for over thirty years. Shortly after arriving in Paris in early March 1891 Nielsen met the Danish sculptor Anne Marie Brodersen, who was also travelling on a scholarship. They toured Italy together and married in St Mark's English Church, Florence, on 10 May 1891 before returning to Denmark. According to Fanning, their relationship was not only a \"love match\", but also a \"meeting of minds\"; Anne Marie was a gifted artist and a \"strong-willed and modern-minded woman, determined to forge her own career\". This determination would strain the Nielsens' marriage, as Anne Marie would spend months away from home during the 1890s and 1900s, leaving Carl, who was susceptible to opportunities with other ladies, to raise their three young children in addition to composing and fulfilling his duties at the Royal Theatre. Nielsen sublimated his anger and frustration over his marriage in a number of musical works, most notably between 1897 and 1904, a period which he sometimes called his \"psychological\" period. Fanning writes, \"At this time his interest in the driving forces behind human personality crystallized in the opera Saul and David and the Second Symphony (The Four Temperaments) and the cantatas Hymnus amoris and Sovnen\". Carl suggested divorce in March 1905 and had considered moving to Germany for a fresh start, but despite several extended periods of separation the Nielsens remained married for the remainder of the composer's life. <|start-PI|>Nielsen had five children, two of them illegitimate.<|end-PI|> <|retrieval|>Carl August Nielsen, the Danish composer, had a complex personal life that included multiple relationships and children outside of his marriage. His first illegitimate child was a son named Carl August Nielsen, born in January 1888, before he met his future wife Anne Marie Brodersen. This child was born out of wedlock, and Nielsen's relationship with the mother is not well-documented. Later in his life, in 1912, Nielsen fathered another illegitimate child, a daughter named Rachel Siegmann. This child was also born outside of his marriage to Anne Marie, and it is not clear whether Anne Marie was aware of this child's existence. These two illegitimate children were part of Nielsen's complicated personal life, which often influenced his music and relationships.<|start-KFI|>He had already fathered a son, Carl August Nielsen, in January 1888, before he met Anne Marie. In 1912, an illegitimate daughter was born - Rachel Siegmann, about whom Anne Marie never learned.<|end-KFI|> With his wife Nielsen had two daughters and a son. Irmelin, the elder daughter, studied music theory with her father and in December 1919 married Eggert Moller (1893-1978), a medical doctor who became a professor at the University of Copenhagen and director of the polyclinic at the National Hospital. The younger daughter Anne Marie, who graduated from the Copenhagen Academy of Arts, married the Hungarian violinist Emil Telmanyi (1892-1988) in 1918; he contributed to the promotion of Nielsen's music, both as a violinist and a conductor. Nielsen's son, Hans Borge, was handicapped as a result of meningitis and spent most of his life away from the family. He died near Kolding in 1956.\n\nUsing a quote from the above article, answer the following question: What were the names of the two illegitimate children?\nHHHHHH\nAnswer:\n\n##ASSISTANT_RESPONSE:\nCarl August Nielsen, in January 1888, before he met Anne Marie. In 1912, an illegitimate daughter was born - Rachel Siegmann,"}
| 970 | 0 |
flan_v2
|
flan_v2_891
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
Input: Karl Popper
In a book called Science Versus Crime, Houck writes that Popper's falsificationism can be questioned logically: it is not clear how Popper would deal with a statement like "for every metal, there is a temperature at which it will melt." The hypothesis cannot be falsified by any possible observation, for there will always be a higher temperature than tested at which the metal may in fact melt, yet it seems to be a valid scientific hypothesis. These examples were pointed out by Carl Gustav Hempel. Hempel came to acknowledge that Logical Positivism's verificationism was untenable, but argued that falsificationism was equally untenable on logical grounds alone. The simplest response to this is that, because Popper describes how theories attain, maintain and lose scientific status, individual consequences of currently accepted scientific theories are scientific in the sense of being part of tentative scientific knowledge, and both of Hempel's examples fall under this category. For instance, atomic theory implies that all metals melt at some temperature.
Who wrote the book Science Versus Crime which challenged the logic of falsificationism?
Output: Houck
Input: Article: Since the early days of rail transport in the United States, Philadelphia has served as hub for several major rail companies, particularly the Pennsylvania Railroad and the Reading Railroad. The Pennsylvania Railroad first operated Broad Street Station, then 30th Street Station and Suburban Station, and the Reading Railroad operated out of Reading Terminal, now part of the Pennsylvania Convention Center. The two companies also operated competing commuter rail systems in the area, known collectively as the Regional Rail system. The two systems today, for the most part still intact but now connected, operate as a single system under the control of the SEPTA, the regional transit authority. Additionally, the PATCO Speedline subway system and NJ Transit's Atlantic City Line operate successor services to southern New Jersey.
Now answer this question: Name 2 rail companies that use the city as a hub?
Output: Pennsylvania Railroad and the Reading Railroad
Article: Charleston annually hosts Spoleto Festival USA founded by Gian Carlo Menotti, a 17-day art festival featuring over 100 performances by individual artists in a variety of disciplines. The Spoleto Festival is internationally recognized as America's premier performing arts festival. The annual Piccolo Spoleto festival takes place at the same time and features local performers and artists, with hundreds of performances throughout the city. Other festivals and events include Historic Charleston Foundation's Festival of Houses and Gardens and Charleston Antiques Show, the Taste of Charleston, The Lowcountry Oyster Festival, the Cooper River Bridge Run, The Charleston Marathon, Southeastern Wildlife Exposition (SEWE), Charleston Food and Wine Festival, Charleston Fashion Week, the MOJA Arts Festival, and the Holiday Festival of Lights (at James Island County Park), and the Charleston International Film Festival.
Question: What kind of festival is Spoleto Festival USA?
Ans: art festival
Here is a question about this article: The first phase of neoclassicism in France is expressed in the "Louis XVI style" of architects like Ange-Jacques Gabriel (Petit Trianon, 1762–68); the second phase, in the styles called Directoire and "Empire", might be characterized by Jean Chalgrin's severe astylar Arc de Triomphe (designed in 1806). In England the two phases might be characterized first by the structures of Robert Adam, the second by those of Sir John Soane. The interior style in France was initially a Parisian style, the "Goût grec" ("Greek style") not a court style. Only when the young king acceded to the throne in 1771 did Marie Antoinette, his fashion-loving Queen, bring the "Louis XVI" style to court.
What is the answer to this question: What architect typifies the first style of neoclassical in England?
****
So... Robert Adam
The problem: Answer a question about this article:
Biodiversity, a contraction of "biological diversity," generally refers to the variety and variability of life on Earth. One of the most widely used definitions defines it in terms of the variability within species, between species, and between ecosystems. It is a measure of the variety of organisms present in different ecosystems. This can refer to genetic variation, ecosystem variation, or species variation (number of species) within an area, biome, or planet. Terrestrial biodiversity tends to be greater near the equator, which seems to be the result of the warm climate and high primary productivity. Biodiversity is not distributed evenly on Earth. It is richest in the tropics. Marine biodiversity tends to be highest along coasts in the Western Pacific, where sea surface temperature is highest and in the mid-latitudinal band in all oceans. There are latitudinal gradients in species diversity. Biodiversity generally tends to cluster in hotspots, and has been increasing through time, but will be likely to slow in the future.
Where is sea surface temperature the highest?
****
The answer: along coasts in the Western Pacific
The problem: Answer a question about this article:
The poor performance of the Portuguese economy was explored in April 2007 by The Economist, which described Portugal as "a new sick man of Europe". From 2002 to 2007, the number of unemployed increased by 65% (270,500 unemployed citizens in 2002, 448,600 unemployed citizens in 2007). By early December 2009, the unemployment rate had reached 10.2% – a 23-year record high. In December 2009, ratings agency Standard & Poor's lowered its long-term credit assessment of Portugal to "negative" from "stable," voicing pessimism on the country's structural weaknesses in the economy and weak competitiveness that would hamper growth and the capacity to strengthen its public finances and reduce debt. In July 2011, ratings agency Moody's downgraded its long-term credit assessment of Portugal after warning of deteriorating risk of default in March 2011.
<|start-PI|>In which year did Moody's downgrade Portugal's long-term credit assessment?<|end-PI|>
****
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>2011<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nInput: Karl Popper\nIn a book called Science Versus Crime, Houck writes that Popper's falsificationism can be questioned logically: it is not clear how Popper would deal with a statement like \"for every metal, there is a temperature at which it will melt.\" The hypothesis cannot be falsified by any possible observation, for there will always be a higher temperature than tested at which the metal may in fact melt, yet it seems to be a valid scientific hypothesis. These examples were pointed out by Carl Gustav Hempel. Hempel came to acknowledge that Logical Positivism's verificationism was untenable, but argued that falsificationism was equally untenable on logical grounds alone. The simplest response to this is that, because Popper describes how theories attain, maintain and lose scientific status, individual consequences of currently accepted scientific theories are scientific in the sense of being part of tentative scientific knowledge, and both of Hempel's examples fall under this category. For instance, atomic theory implies that all metals melt at some temperature.\n\nWho wrote the book Science Versus Crime which challenged the logic of falsificationism?\nOutput: Houck\nInput: Article: Since the early days of rail transport in the United States, Philadelphia has served as hub for several major rail companies, particularly the Pennsylvania Railroad and the Reading Railroad. The Pennsylvania Railroad first operated Broad Street Station, then 30th Street Station and Suburban Station, and the Reading Railroad operated out of Reading Terminal, now part of the Pennsylvania Convention Center. The two companies also operated competing commuter rail systems in the area, known collectively as the Regional Rail system. The two systems today, for the most part still intact but now connected, operate as a single system under the control of the SEPTA, the regional transit authority. Additionally, the PATCO Speedline subway system and NJ Transit's Atlantic City Line operate successor services to southern New Jersey.\n\nNow answer this question: Name 2 rail companies that use the city as a hub?\n\nOutput: Pennsylvania Railroad and the Reading Railroad\nArticle: Charleston annually hosts Spoleto Festival USA founded by Gian Carlo Menotti, a 17-day art festival featuring over 100 performances by individual artists in a variety of disciplines. The Spoleto Festival is internationally recognized as America's premier performing arts festival. The annual Piccolo Spoleto festival takes place at the same time and features local performers and artists, with hundreds of performances throughout the city. Other festivals and events include Historic Charleston Foundation's Festival of Houses and Gardens and Charleston Antiques Show, the Taste of Charleston, The Lowcountry Oyster Festival, the Cooper River Bridge Run, The Charleston Marathon, Southeastern Wildlife Exposition (SEWE), Charleston Food and Wine Festival, Charleston Fashion Week, the MOJA Arts Festival, and the Holiday Festival of Lights (at James Island County Park), and the Charleston International Film Festival.\n\nQuestion: What kind of festival is Spoleto Festival USA?\nAns: art festival\nHere is a question about this article: The first phase of neoclassicism in France is expressed in the \"Louis XVI style\" of architects like Ange-Jacques Gabriel (Petit Trianon, 1762\u201368); the second phase, in the styles called Directoire and \"Empire\", might be characterized by Jean Chalgrin's severe astylar Arc de Triomphe (designed in 1806). In England the two phases might be characterized first by the structures of Robert Adam, the second by those of Sir John Soane. The interior style in France was initially a Parisian style, the \"Go\u00fbt grec\" (\"Greek style\") not a court style. Only when the young king acceded to the throne in 1771 did Marie Antoinette, his fashion-loving Queen, bring the \"Louis XVI\" style to court.\nWhat is the answer to this question: What architect typifies the first style of neoclassical in England?\n****\nSo... Robert Adam\nThe problem: Answer a question about this article:\nBiodiversity, a contraction of \"biological diversity,\" generally refers to the variety and variability of life on Earth. One of the most widely used definitions defines it in terms of the variability within species, between species, and between ecosystems. It is a measure of the variety of organisms present in different ecosystems. This can refer to genetic variation, ecosystem variation, or species variation (number of species) within an area, biome, or planet. Terrestrial biodiversity tends to be greater near the equator, which seems to be the result of the warm climate and high primary productivity. Biodiversity is not distributed evenly on Earth. It is richest in the tropics. Marine biodiversity tends to be highest along coasts in the Western Pacific, where sea surface temperature is highest and in the mid-latitudinal band in all oceans. There are latitudinal gradients in species diversity. Biodiversity generally tends to cluster in hotspots, and has been increasing through time, but will be likely to slow in the future.\nWhere is sea surface temperature the highest?\n****\nThe answer: along coasts in the Western Pacific\nThe problem: Answer a question about this article:\nThe poor performance of the Portuguese economy was explored in April 2007 by The Economist, which described Portugal as \"a new sick man of Europe\". From 2002 to 2007, the number of unemployed increased by 65% (270,500 unemployed citizens in 2002, 448,600 unemployed citizens in 2007). By early December 2009, the unemployment rate had reached 10.2% \u2013 a 23-year record high. In December 2009, ratings agency Standard & Poor's lowered its long-term credit assessment of Portugal to \"negative\" from \"stable,\" voicing pessimism on the country's structural weaknesses in the economy and weak competitiveness that would hamper growth and the capacity to strengthen its public finances and reduce debt. In July 2011, ratings agency Moody's downgraded its long-term credit assessment of Portugal after warning of deteriorating risk of default in March 2011.\n<|start-PI|>In which year did Moody's downgrade Portugal's long-term credit assessment?<|end-PI|>\n****\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Moody's, a prominent credit rating agency, took significant action regarding Portugal's economy in 2011. Following a warning in March 2011 about the increasing risk of default, Moody's decided to downgrade Portugal's long-term credit assessment in July of the same year. This move reflected the agency's growing concerns about Portugal's economic stability and its ability to manage its debt effectively. The downgrade was seen as a significant blow to Portugal's financial reputation and had potential implications for its ability to secure loans and investments in the future.<|start-KFI|>2011<|end-KFI|>"}
| 1,419 | 0 |
flan_v2
|
flan_v2_913
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
In: how many seasons are there in the sons of anarchy??
Out: 7
In: who is the republican running for governor of ny??
Out: Marc Molinaro
In: where was it's a boy girl thing filmed??
Out: the United Kingdom
<|start-PI|>In: where was the tower of babel located in the bible??<|end-PI|>
Out:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>Shinar<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nIn: how many seasons are there in the sons of anarchy??\n\nOut: 7\n\n\nIn: who is the republican running for governor of ny??\n\nOut: Marc Molinaro\n\n\nIn: where was it's a boy girl thing filmed??\n\nOut: the United Kingdom\n\n\n<|start-PI|>In: where was the tower of babel located in the bible??<|end-PI|>\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>The Tower of Babel, a biblical structure mentioned in the book of Genesis, is believed to have been located in the region of Shinar. Shinar is an ancient name for the region of Babylon, which corresponds to modern-day southern Mesopotamia (present-day Iraq). According to biblical accounts, the Tower of Babel was built by humanity after the Great Flood, as an attempt to reach the heavens. The story of the Tower of Babel is often seen as an explanation for the origin of different languages among humanity.<|start-KFI|>Shinar<|end-KFI|>"}
| 218 | 0 |
flan_v2
|
flan_v2_944
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
who is the original singer of this is me???
Answer: Keala Settle
Question: who is presented the flag at a military funeral?
Answer: the next of kin
Answer this question: when did the original green lantern come out??
July 1940
Q: who won the ncaa women's softball championship this year?A: Oklahoma
<|start-PI|>Input: what is the steepest climb in the tour de france?<|end-PI|>
Output: Col de la Bonette
<|start-PI|>Input: where is the new series of lost in space filmed?<|end-PI|>
Output:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>Vancouver, British Columbia<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nwho is the original singer of this is me???\n\nAnswer: Keala Settle\n\nQuestion: who is presented the flag at a military funeral?\n\nAnswer: the next of kin\n\nAnswer this question: when did the original green lantern come out??\n\nJuly 1940\n\nQ: who won the ncaa women's softball championship this year?A: Oklahoma\n\n<|start-PI|>Input: what is the steepest climb in the tour de france?<|end-PI|>\n\nOutput: Col de la Bonette\n\n<|start-PI|>Input: where is the new series of lost in space filmed?<|end-PI|>\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>The new series of Lost in Space, a science fiction television series, was filmed in various locations in British Columbia, Canada. The production team chose this region for its diverse landscapes and mild climate, which allowed for year-round filming. The show's creators wanted to create a visually stunning and realistic environment for the Robinson family's adventures, and British Columbia's natural beauty provided the perfect backdrop. The series features a mix of outdoor locations and studio sets, with many scenes shot on location in and around Vancouver.<|start-KFI|>Vancouver, British Columbia<|end-KFI|>"}
| 256 | 0 |
flan_v2
|
flan_v2_945
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
Problem: Which common wildflower has the Latin name Bellis Perennis?
======
A: daisy
Q: Owned by the Mondadori arm of the Berlusconi empire, which women's weekly fashion magazine was established in Italy in 1938 with its British edition starting in 2005?
A: grazia
Problem: What spoken word competition, which has been organised for many years by Gary Hallock, has been held every May since 1978 in Austin, Texas?
Answer: o henry pun off
Q: George Fox was the founder of which religious grouping?
-----
A: quakers
Q: Who in 1588, commanded the English fleet that confronted the Spanish Armada?
What is the answer?
A: lord howard of effingham
<|start-PI|>Problem: Which composer, born in 1732, wrote the oratorios 'The Creation' and 'The Seasons'?
Answer:<|end-PI|>
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>franz josef haydn<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nProblem: Which common wildflower has the Latin name Bellis Perennis?\n======\nA: daisy\n\n\nQ: Owned by the Mondadori arm of the Berlusconi empire, which women's weekly fashion magazine was established in Italy in 1938 with its British edition starting in 2005?\nA: grazia\n\n\nProblem: What spoken word competition, which has been organised for many years by Gary Hallock, has been held every May since 1978 in Austin, Texas?\nAnswer: o henry pun off\n\n\nQ: George Fox was the founder of which religious grouping?\n-----\nA: quakers\n\n\nQ: Who in 1588, commanded the English fleet that confronted the Spanish Armada?\nWhat is the answer?\n\nA: lord howard of effingham\n\n\n<|start-PI|>Problem: Which composer, born in 1732, wrote the oratorios 'The Creation' and 'The Seasons'?\nAnswer:<|end-PI|>\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Franz Joseph Haydn was a renowned Austrian composer of the Classical period. He was born on March 31, 1732, in Rohrau, Austria. Haydn was a prolific composer, creating over 100 symphonies, numerous operas, and chamber music pieces. Two of his most famous oratorios are 'The Creation' (Die Sch\u00f6pfung) and 'The Seasons' (Die Jahreszeiten). 'The Creation', composed in 1797-1798, is considered one of Haydn's masterpieces and tells the story of the creation of the world based on the Book of Genesis. 'The Seasons', composed in 1801, is a choral work that explores the changing seasons and their effects on nature and human life. Both oratorios showcase Haydn's skill in blending music and drama to convey powerful narratives.<|start-KFI|>franz josef haydn<|end-KFI|>"}
| 419 | 0 |
flan_v2
|
flan_v2_963
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
Q: Anatomically, of what is nephrology the study?
A: kidney
Q: The Man that Got Away
A: star is born
<|start-PI|>Q: 'Cap de Formentor' is the northernmost point of which popular holiday island?<|end-PI|>
A:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>majorca<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nQ: Anatomically, of what is nephrology the study?\nA: kidney\n\nQ: The Man that Got Away\nA: star is born\n\n<|start-PI|>Q: 'Cap de Formentor' is the northernmost point of which popular holiday island?<|end-PI|>\nA:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Cap de Formentor is a picturesque headland located on the northernmost tip of the Spanish island of Majorca. It is known for its stunning natural beauty, featuring rugged cliffs, hidden coves, and scenic hiking trails. The area is also home to a historic lighthouse, which offers breathtaking views of the surrounding waters. Majorca, part of the Balearic Islands, is a popular tourist destination in the Mediterranean, attracting visitors with its warm climate, beautiful beaches, and rich cultural heritage.<|start-KFI|>majorca<|end-KFI|>"}
| 186 | 0 |
flan_v2
|
flan_v2_989
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
Problem: Paris:
Paris is the home of the most visited art museum in the world, the Louvre, as well as the Musée d'Orsay, noted for its collection of French Impressionist art, and the Musée National d'Art Moderne, a museum of modern and contemporary art. The notable architectural landmarks of Paris include Notre Dame Cathedral (12th century); the Sainte-Chapelle (13th century); the Eiffel Tower (1889); and the Basilica of Sacré-Cœur on Montmartre (1914). In 2014 Paris received 22.4 million visitors, making it one of the world's top tourist destinations. Paris is also known for its fashion, particularly the twice-yearly Paris Fashion Week, and for its haute cuisine, and three-star restaurants. Most of France's major universities and grandes écoles are located in Paris, as are France's major newspapers, including Le Monde, Le Figaro, and Libération.
What is the most visited art museum in the world?
---
A: Louvre
Problem: Neptune is the eighth and farthest known planet from the Sun in the Solar System. It is the fourth-largest planet by diameter and the third-largest by mass. Among the giant planets in the Solar System, Neptune is the most dense. Neptune is 17 times the mass of Earth and is slightly more massive than its near-twin Uranus, which is 15 times the mass of Earth and slightly larger than Neptune.[c] Neptune orbits the Sun once every 164.8 years at an average distance of 30.1 astronomical units (4.50×109 km). Named after the Roman god of the sea, its astronomical symbol is ☆, a stylised version of the god Neptune's trident.
How much lighter is Neptune compared to Earth?
---
Answer: unanswerable
Q: What is a question about this article? If the question is unanswerable, say "unanswerable".
Many Portuguese holidays, festivals and traditions have a Christian origin or connotation. Although relations between the Portuguese state and the Roman Catholic Church were generally amiable and stable since the earliest years of the Portuguese nation, their relative power fluctuated. In the 13th and 14th centuries, the church enjoyed both riches and power stemming from its role in the reconquest, its close identification with early Portuguese nationalism and the foundation of the Portuguese educational system, including the first university. The growth of the Portuguese overseas empire made its missionaries important agents of colonization, with important roles in the education and evangelization of people from all the inhabited continents. The growth of liberal and nascent republican movements during the eras leading to the formation of the First Portuguese Republic (1910–26) changed the role and importance of organized religion.
In what religion do many Portuguese holidays and festivals find their origin?
A: Christian
Context and question: Rather than just using a thick tube, there are similar techniques used to the same effect such as replacing thin wire elements with cages to simulate a thicker element. This widens the bandwidth of the resonance. On the other hand, amateur radio antennas need to operate over several bands which are widely separated from each other. This can often be accomplished simply by connecting resonant elements for the different bands in parallel. Most of the transmitter's power will flow into the resonant element while the others present a high (reactive) impedance and draw little current from the same voltage. A popular solution uses so-called traps consisting of parallel resonant circuits which are strategically placed in breaks along each antenna element. When used at one particular frequency band the trap presents a very high impedance (parallel resonance) effectively truncating the element at that length, making it a proper resonant antenna. At a lower frequency the trap allows the full length of the element to be employed, albeit with a shifted resonant frequency due to the inclusion of the trap's net reactance at that lower frequency.
How could one achieve the task of creating an antenna that can be Used over various bands?
Answer: connecting resonant elements
Question: The Brazilian federal constitution states that the power to enter into treaties is vested in the president and that such treaties must be approved by Congress (articles 84, clause VIII, and 49, clause I). In practice, this has been interpreted as meaning that the executive branch is free to negotiate and sign a treaty, but its ratification by the president is contingent upon the prior approval of Congress. Additionally, the Federal Supreme Court has ruled that, following ratification and entry into force, a treaty must be incorporated into domestic law by means of a presidential decree published in the federal register in order to be valid in Brazil and applicable by the Brazilian authorities.
Is there an answer to this question: In order for a treaty to be valid in Brazil, a presidential decree incorporating the treaty into domestic law must be published where in order to be valid?
Answer: the federal register
<|start-PI|>Q: What is a question about this article? If the question is unanswerable, say "unanswerable".
The term Iranian is applied to any language which descends from the ancestral Proto-Iranian language. Iranian derives from the Persian and Sanskrit origin word Arya.
Iranian languages are all said to be derived from which predecessor?<|end-PI|>
A:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>Proto-Iranian<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nProblem: Paris:\n\nParis is the home of the most visited art museum in the world, the Louvre, as well as the Mus\u00e9e d'Orsay, noted for its collection of French Impressionist art, and the Mus\u00e9e National d'Art Moderne, a museum of modern and contemporary art. The notable architectural landmarks of Paris include Notre Dame Cathedral (12th century); the Sainte-Chapelle (13th century); the Eiffel Tower (1889); and the Basilica of Sac\u00e9-C\u0153ur on Montmartre (1914). In 2014 Paris received 22.4 million visitors, making it one of the world's top tourist destinations. Paris is also known for its fashion, particularly the twice-yearly Paris Fashion Week, and for its haute cuisine, and three-star restaurants. Most of France's major universities and grandes \u00e9coles are located in Paris, as are France's major newspapers, including Le Monde, Le Figaro, and Lib\u00e9ration.\n\nWhat is the most visited art museum in the world?\n---\nA: Louvre\n\nProblem: Neptune is the eighth and farthest known planet from the Sun in the Solar System. It is the fourth-largest planet by diameter and the third-largest by mass. Among the giant planets in the Solar System, Neptune is the most dense. Neptune is 17 times the mass of Earth and is slightly more massive than its near-twin Uranus, which is 15 times the mass of Earth and slightly larger than Neptune.[c] Neptune orbits the Sun once every 164.8 years at an average distance of 30.1 astronomical units (4.50\u00d7109 km). Named after the Roman god of the sea, its astronomical symbol is \u2606, a stylised version of the god Neptune's trident.\n How much lighter is Neptune compared to Earth?\n---\nAnswer: unanswerable\n\nQ: What is a question about this article? If the question is unanswerable, say \"unanswerable\".\nMany Portuguese holidays, festivals and traditions have a Christian origin or connotation. Although relations between the Portuguese state and the Roman Catholic Church were generally amiable and stable since the earliest years of the Portuguese nation, their relative power fluctuated. In the 13th and 14th centuries, the church enjoyed both riches and power stemming from its role in the reconquest, its close identification with early Portuguese nationalism and the foundation of the Portuguese educational system, including the first university. The growth of the Portuguese overseas empire made its missionaries important agents of colonization, with important roles in the education and evangelization of people from all the inhabited continents. The growth of liberal and nascent republican movements during the eras leading to the formation of the First Portuguese Republic (1910\u201326) changed the role and importance of organized religion.\nIn what religion do many Portuguese holidays and festivals find their origin?\nA: Christian\n\nContext and question: Rather than just using a thick tube, there are similar techniques used to the same effect such as replacing thin wire elements with cages to simulate a thicker element. This widens the bandwidth of the resonance. On the other hand, amateur radio antennas need to operate over several bands which are widely separated from each other. This can often be accomplished simply by connecting resonant elements for the different bands in parallel. Most of the transmitter's power will flow into the resonant element while the others present a high (reactive) impedance and draw little current from the same voltage. A popular solution uses so-called traps consisting of parallel resonant circuits which are strategically placed in breaks along each antenna element. When used at one particular frequency band the trap presents a very high impedance (parallel resonance) effectively truncating the element at that length, making it a proper resonant antenna. At a lower frequency the trap allows the full length of the element to be employed, albeit with a shifted resonant frequency due to the inclusion of the trap's net reactance at that lower frequency.\nHow could one achieve the task of creating an antenna that can be Used over various bands?\nAnswer: connecting resonant elements\n\nQuestion: The Brazilian federal constitution states that the power to enter into treaties is vested in the president and that such treaties must be approved by Congress (articles 84, clause VIII, and 49, clause I). In practice, this has been interpreted as meaning that the executive branch is free to negotiate and sign a treaty, but its ratification by the president is contingent upon the prior approval of Congress. Additionally, the Federal Supreme Court has ruled that, following ratification and entry into force, a treaty must be incorporated into domestic law by means of a presidential decree published in the federal register in order to be valid in Brazil and applicable by the Brazilian authorities.\nIs there an answer to this question: In order for a treaty to be valid in Brazil, a presidential decree incorporating the treaty into domestic law must be published where in order to be valid?\n\nAnswer: the federal register\n\n<|start-PI|>Q: What is a question about this article? If the question is unanswerable, say \"unanswerable\".\nThe term Iranian is applied to any language which descends from the ancestral Proto-Iranian language. Iranian derives from the Persian and Sanskrit origin word Arya.\nIranian languages are all said to be derived from which predecessor?<|end-PI|>\nA:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>The Proto-Iranian language is an ancient language that is believed to have been spoken in the region of modern-day Iran and surrounding areas. It is considered the common ancestor of all Iranian languages, including Persian, Pashto, and Kurdish. The Proto-Iranian language is thought to have evolved from the Proto-Indo-European language, which is the hypothetical ancestor of many European and Asian languages. The Proto-Iranian language is not directly attested, but its existence can be inferred through comparative linguistics and historical research. It is believed to have been spoken from around 1500 BCE to 500 BCE, during which time it developed into various dialects that eventually became distinct languages. The study of Proto-Iranian is important for understanding the history and development of the Iranian languages and their relationship to other languages in the Indo-European family.<|start-KFI|>Proto-Iranian<|end-KFI|>"}
| 1,332 | 0 |
flan_v2
|
flan_v2_1020
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
question: What is the answer: Both Luton Town and Stockport County football clubs have the same nickname. What is it?
answer: hatters
question: What is the answer: What are the first and second rules of Fight Club?
answer: do not talk about fight club
question: What is the answer: Which female Mexican painter was responsible for 'Tree Of Hope', 'Henry Ford Hospital' and 'The Dream'?
answer: frida kahlo
<|start-PI|>question: What is the answer: Which country hosted the second modern Olympic Games in 1900?<|end-PI|>
answer:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>france<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nquestion: What is the answer: Both Luton Town and Stockport County football clubs have the same nickname. What is it?\nanswer: hatters\n\nquestion: What is the answer: What are the first and second rules of Fight Club?\nanswer: do not talk about fight club\n\nquestion: What is the answer: Which female Mexican painter was responsible for 'Tree Of Hope', 'Henry Ford Hospital' and 'The Dream'?\nanswer: frida kahlo\n\n<|start-PI|>question: What is the answer: Which country hosted the second modern Olympic Games in 1900?<|end-PI|>\nanswer:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>The second modern Olympic Games were held in 1900 in Paris, France. These games were part of the Exposition Universelle, a world's fair held in Paris that year. The 1900 Summer Olympics, also known as the Games of the II Olympiad, took place from May 14 to October 28, 1900. France was chosen as the host country for these games, marking the first time the Olympics were held in Europe. The event featured 24 countries and 994 athletes competing in 19 sports.<|start-KFI|>france<|end-KFI|>"}
| 261 | 0 |
flan_v2
|
flan_v2_1062
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
QUESTION: answer this: who has the power to issue a subpoena??
ANS: the full committee
QUESTION: answer this: when does the 2017 season of snl start??
ANS: September 30, 2017
<|start-PI|>QUESTION: answer this: who played emilio on days of our lives??<|end-PI|>
ANS:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>Billy Hufsey<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nQUESTION: answer this: who has the power to issue a subpoena??\n\nANS: the full committee\n\n\nQUESTION: answer this: when does the 2017 season of snl start??\n\nANS: September 30, 2017\n\n\n<|start-PI|>QUESTION: answer this: who played emilio on days of our lives??<|end-PI|>\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Emilio Alvarez was a character on the popular American daytime soap opera Days of Our Lives. He was portrayed by actor Billy Hufsey from 1983 to 1986. During his time on the show, Emilio became a significant figure in the lives of several main characters, particularly in romantic relationships and family dynamics. Billy Hufsey's portrayal of Emilio Alvarez remains memorable for fans of the show during that period.<|start-KFI|>Billy Hufsey<|end-KFI|>"}
| 188 | 0 |
flan_v2
|
flan_v2_1063
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
who won the soccer world cup this year???
Answer: France
Question: when did singapore officially became a part of the british empire?
Answer: 1946
Answer this question: who sang teenage kicks all through the night??
The Undertones
Q: where do the white sox play home games?A: Guaranteed Rate Field
Input: what was the landmass called when all the continents were one?
Output: Pangaea
<|start-PI|>Answer this question: what is telstar in fifa world cup 2018??<|end-PI|>
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>the official match ball<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nwho won the soccer world cup this year???\n\nAnswer: France\n\nQuestion: when did singapore officially became a part of the british empire?\n\nAnswer: 1946\n\nAnswer this question: who sang teenage kicks all through the night??\n\nThe Undertones\n\nQ: where do the white sox play home games?A: Guaranteed Rate Field\n\nInput: what was the landmass called when all the continents were one?\n\nOutput: Pangaea\n\n<|start-PI|>Answer this question: what is telstar in fifa world cup 2018??<|end-PI|>\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Telstar is the official match ball of the 2018 FIFA World Cup held in Russia. It was designed and manufactured by Adidas, a well-known sports equipment company. The Telstar 18, as it is officially known, is a high-tech ball featuring a unique design inspired by the 1970 Telstar ball used in the World Cup. The ball's design incorporates a panel structure and a thermally bonded construction for improved aerodynamics and consistency. It also features an NFC chip for tracking and authentication purposes. The Telstar 18 was used in all matches of the 2018 FIFA World Cup, including the final match between France and Croatia.<|start-KFI|>the official match ball<|end-KFI|>"}
| 281 | 0 |
flan_v2
|
flan_v2_1080
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
who the voice of scar in lion king???
Answer: Jeremy Irons
Question: who has the record for the most superbowl wins?
Answer: Pittsburgh Steelers
Answer this question: players to go from high school to nba??
Anfernee Simons
Q: which eon was the first in earth's history?A: Hadean
Input: who voices spider man in the animated series?
Output: Christopher Daniel Barnes
Answer this question: <|start-PI|>who does paul's voice in the movie paul??<|end-PI|>
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>Seth Rogen<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nwho the voice of scar in lion king???\n\nAnswer: Jeremy Irons\n\nQuestion: who has the record for the most superbowl wins?\n\nAnswer: Pittsburgh Steelers\n\nAnswer this question: players to go from high school to nba??\n\nAnfernee Simons\n\nQ: which eon was the first in earth's history?A: Hadean\n\nInput: who voices spider man in the animated series?\n\nOutput: Christopher Daniel Barnes\n\nAnswer this question: <|start-PI|>who does paul's voice in the movie paul??<|end-PI|>\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>The movie Paul (2011) is a science fiction comedy directed by Greg Mottola. It stars Simon Pegg and Nick Frost as two British comic book nerds who encounter an alien named Paul. The voice of Paul in the movie is provided by Seth Rogen, a well-known Canadian actor and comedian. Rogen's distinctive voice brings the alien character to life, adding humor and personality to the film.<|start-KFI|>Seth Rogen<|end-KFI|>"}
| 232 | 0 |
flan_v2
|
flan_v2_1088
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
Q: Answer this question:
who played brad's girlfriend jennifer on home improvement??
A: Jessica Wesson
Q: Answer this question:
who does the intro to number of the beast??
A: English actor Barry Clayton
Q: Answer this question:
any substance that can provoke an immune response is an??
A: antigen
<|start-PI|>Q: Answer this question:
who sang take it to the limit for the eagles??<|end-PI|>
A:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>Randy Meisner<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nQ: Answer this question:\n\nwho played brad's girlfriend jennifer on home improvement??\n\nA: Jessica Wesson\n\n\nQ: Answer this question:\n\nwho does the intro to number of the beast??\n\nA: English actor Barry Clayton\n\n\nQ: Answer this question:\n\nany substance that can provoke an immune response is an??\n\nA: antigen\n\n\n<|start-PI|>Q: Answer this question:\n\nwho sang take it to the limit for the eagles??<|end-PI|>\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Randy Meisner was an American musician and songwriter who was a founding member of the Eagles. He was the band's original bassist and one of its lead vocalists. Meisner sang lead vocals on several of the Eagles' most popular songs, including \"Take It to the Limit,\" which was released in 1975 on the album \"One of These Nights.\" The song was written by Meisner, Don Henley, and Glenn Frey, and it became one of the band's signature hits. Meisner's distinctive vocal style and songwriting contributions were an integral part of the Eagles' sound during their early years.<|start-KFI|>Randy Meisner<|end-KFI|>"}
| 270 | 0 |
flan_v2
|
flan_v2_1118
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
Problem: Violet Millar became the wife of which future UK Prime Minister in 1922?
======
A: clement attlee
Q: Who won the Booker Prize in 1981 for Midnight's Children?
A: salman rushdie
Problem: Of which South American country was Alberto Fujimori the President between 1990 and 2000?
Answer: peru
Q: Which famous British explorer went in search of El Dorado?
-----
A: sir walter raleigh
Q: Later in 1961 George Martin produced "My Boomerang Won't Come Back". Which comedian and actor was the singer on the record?
What is the answer?
A: charlie drake
<|start-PI|>Q: "Which Italian wrote the opera ""La Boheme""?"
What is the answer?
A:<|end-PI|>
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>puccini<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nProblem: Violet Millar became the wife of which future UK Prime Minister in 1922?\n======\nA: clement attlee\n\n\nQ: Who won the Booker Prize in 1981 for Midnight's Children?\nA: salman rushdie\n\n\nProblem: Of which South American country was Alberto Fujimori the President between 1990 and 2000?\nAnswer: peru\n\n\nQ: Which famous British explorer went in search of El Dorado?\n-----\nA: sir walter raleigh\n\n\nQ: Later in 1961 George Martin produced \"My Boomerang Won't Come Back\". Which comedian and actor was the singer on the record?\nWhat is the answer?\n\nA: charlie drake\n\n\n<|start-PI|>Q: \"Which Italian wrote the opera \"\"La Boheme\"\"?\"\nWhat is the answer?\n\nA:<|end-PI|>\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Giacomo Puccini was a renowned Italian composer of operas. Born in 1858, he is considered one of the most important figures in the development of opera in the late 19th and early 20th centuries. Puccini's works are known for their melodic beauty, dramatic intensity, and orchestral richness. One of his most famous operas is \"La Boh\u00e8me,\" which premiered in 1896. The opera is based on Henri Murger's novel \"Scenes de la vie de boh\u00e8me\" and tells the story of a group of young artists living in Paris in the 1830s. \"La Boh\u00e8me\" is widely regarded as one of the greatest operas of all time, with its beautiful arias, duets, and ensemble pieces. It remains a staple of opera houses around the world and is often performed alongside Puccini's other famous works, such as \"Tosca\" and \"Madama Butterfly.\"<|start-KFI|>puccini<|end-KFI|>"}
| 430 | 0 |
flan_v2
|
flan_v2_1126
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
Problem: Chris Austin Hadfield (born 29 August 1959) is a retired Canadian astronaut who was the first Canadian to walk in space. An engineer and former Royal Canadian Air Force fighter pilot, Hadfield has flown two space shuttle missions and served as commander of the International Space Station. Hadfield, who was raised on a farm in southern Ontario, was inspired as a child when he watched the Apollo 11 Moon landing on TV. He attended high school in Oakville and Milton and earned his glider pilot licence as a member of the Royal Canadian Air Cadets.
Hadfield was selected to become one of four new Canadian astronauts from a field of 5,330 applicants in June 1992. Three of those four (Dafydd Williams, Julie Payette and Hadfield) have flown in space. He was assigned by the Canadian Space Agency (CSA) to the NASA Johnson Space Center in Houston, Texas in August, where he addressed technical and safety issues for Shuttle Operations Development, contributed to the development of the glass shuttle cockpit, and supported shuttle launches at the Kennedy Space Center, in Florida. In addition, Hadfield was NASA's Chief CAPCOM, the voice of mission control to astronauts in orbit, for 25 space shuttle missions. From 1996 to 2000, he represented CSA astronauts and coordinated their activities as the Chief Astronaut for the CSA. He was the Director of Operations for NASA at the Yuri Gagarin Cosmonauts Training Center (GCTC) in Star City, Russia from 2001 until 2003. Some of his duties included co-ordination and direction of all International Space Station crew activities in Russia, oversight of training and crew support staff, as well as policy negotiation with the Russian Space Program and other International Partners. He also trained and became fully qualified to be a flight engineer cosmonaut in the Soyuz TMA spacecraft, and to perform spacewalks in the Russian Orlan spacesuit. Hadfield is a civilian CSA astronaut, having retired as a colonel from the Canadian Armed Forces in 2003 after 25 years of military service. He was Chief of Robotics for the NASA Astronaut Office at the Johnson Space Center in Houston, Texas from 2003-2006 and was Chief of International Space Station Operations from 2006-2008. In 2008 and 2009, he trained as a back-up to Robert Thirsk on the Expedition 21 mission. In May 2010, Hadfield served as the commander of the NEEMO 14 mission aboard the Aquarius underwater laboratory, living and working underwater for fourteen days. NASA announced in 2010 that Hadfield would become the first Canadian commander of the International Space Station, leading Expedition 35 after its launch on 19 December 2012. His craft docked with the station on 21 December. He remained on the station for five months, transferring control to Pavel Vinogradov and departing on 13 May 2013. In June 2013, one month after completing his third trip to space, Hadfield announced his retirement from the Canadian Space Agency, effective 3 July 2013. Hadfield stated that after living primarily in the United States since the 1980s for his career, he would be moving back to Canada, "making good on a promise I made my wife nearly 30 years ago -- that yes, eventually, we would be moving back to Canada." He noted that he plans to pursue private interests outside government there. Hadfield is enthusiastic about the prospects for a manned mission to Mars, and when asked in 2011 if he would consider a one-way journey to Mars to be the first to visit, he said "I would be honoured to be given the opportunity."
<|start-PI|>When did he go to space?<|end-PI|>
Answer with quotes:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>NASA announced in 2010 that Hadfield would become the first Canadian commander of the International Space Station, leading Expedition 35 after its launch on 19 December 2012.<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nProblem: Chris Austin Hadfield (born 29 August 1959) is a retired Canadian astronaut who was the first Canadian to walk in space. An engineer and former Royal Canadian Air Force fighter pilot, Hadfield has flown two space shuttle missions and served as commander of the International Space Station. Hadfield, who was raised on a farm in southern Ontario, was inspired as a child when he watched the Apollo 11 Moon landing on TV. He attended high school in Oakville and Milton and earned his glider pilot licence as a member of the Royal Canadian Air Cadets.\n\nHadfield was selected to become one of four new Canadian astronauts from a field of 5,330 applicants in June 1992. Three of those four (Dafydd Williams, Julie Payette and Hadfield) have flown in space. He was assigned by the Canadian Space Agency (CSA) to the NASA Johnson Space Center in Houston, Texas in August, where he addressed technical and safety issues for Shuttle Operations Development, contributed to the development of the glass shuttle cockpit, and supported shuttle launches at the Kennedy Space Center, in Florida. In addition, Hadfield was NASA's Chief CAPCOM, the voice of mission control to astronauts in orbit, for 25 space shuttle missions. From 1996 to 2000, he represented CSA astronauts and coordinated their activities as the Chief Astronaut for the CSA. He was the Director of Operations for NASA at the Yuri Gagarin Cosmonauts Training Center (GCTC) in Star City, Russia from 2001 until 2003. Some of his duties included co-ordination and direction of all International Space Station crew activities in Russia, oversight of training and crew support staff, as well as policy negotiation with the Russian Space Program and other International Partners. He also trained and became fully qualified to be a flight engineer cosmonaut in the Soyuz TMA spacecraft, and to perform spacewalks in the Russian Orlan spacesuit. Hadfield is a civilian CSA astronaut, having retired as a colonel from the Canadian Armed Forces in 2003 after 25 years of military service. He was Chief of Robotics for the NASA Astronaut Office at the Johnson Space Center in Houston, Texas from 2003-2006 and was Chief of International Space Station Operations from 2006-2008. In 2008 and 2009, he trained as a back-up to Robert Thirsk on the Expedition 21 mission. In May 2010, Hadfield served as the commander of the NEEMO 14 mission aboard the Aquarius underwater laboratory, living and working underwater for fourteen days. NASA announced in 2010 that Hadfield would become the first Canadian commander of the International Space Station, leading Expedition 35 after its launch on 19 December 2012. His craft docked with the station on 21 December. He remained on the station for five months, transferring control to Pavel Vinogradov and departing on 13 May 2013. In June 2013, one month after completing his third trip to space, Hadfield announced his retirement from the Canadian Space Agency, effective 3 July 2013. Hadfield stated that after living primarily in the United States since the 1980s for his career, he would be moving back to Canada, \"making good on a promise I made my wife nearly 30 years ago -- that yes, eventually, we would be moving back to Canada.\" He noted that he plans to pursue private interests outside government there. Hadfield is enthusiastic about the prospects for a manned mission to Mars, and when asked in 2011 if he would consider a one-way journey to Mars to be the first to visit, he said \"I would be honoured to be given the opportunity.\"\n\n<|start-PI|>When did he go to space?<|end-PI|>\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Chris Hadfield's third trip to space was a significant milestone in his career. He was chosen to lead Expedition 35 on the International Space Station, becoming the first Canadian to command the ISS. The mission was launched on December 19, 2012, and Hadfield spent five months on the station. During this time, he performed various scientific experiments, maintained the station's systems, and conducted spacewalks. His mission was a testament to his extensive experience and skills as an astronaut.<|start-KFI|>NASA announced in 2010 that Hadfield would become the first Canadian commander of the International Space Station, leading Expedition 35 after its launch on 19 December 2012.<|end-KFI|>"}
| 946 | 0 |
flan_v2
|
flan_v2_1143
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
who played the incredible hulk in the movies???
Answer: Edward Norton
who played bella in bella and the bulldogs???
Answer: Brec Bassinger
the supreme court applies the bill of rights at the state level through a process known as???
Answer: Incorporation
<|start-PI|>when did diary of a wimpy kid book come out???<|end-PI|>
Answer:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>April 1, 2007<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nwho played the incredible hulk in the movies???\n\nAnswer: Edward Norton\n\nwho played bella in bella and the bulldogs???\n\nAnswer: Brec Bassinger\n\nthe supreme court applies the bill of rights at the state level through a process known as???\n\nAnswer: Incorporation\n\n<|start-PI|>when did diary of a wimpy kid book come out???<|end-PI|>\n\nAnswer:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>The Diary of a Wimpy Kid book series, written by Jeff Kinney, has become a beloved and popular collection of humorous novels for children and young adults. The first book in the series, titled Diary of a Wimpy Kid, was initially published online in 2004. However, it was later released in print form on April 1, 2007, by Amulet Books. This book marked the beginning of the successful series, which has since grown to include numerous sequels, spin-offs, and adaptations.<|start-KFI|>April 1, 2007<|end-KFI|>"}
| 224 | 0 |
flan_v2
|
flan_v2_1157
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
Problem: Please answer a question about the following article about Modern history:
In Asia, various Chinese dynasties and Japanese shogunates controlled the Asian sphere. In Japan, the Edo period from 1600 to 1868 is also referred to as the early modern period. And in Korea, from the rising of Joseon Dynasty to the enthronement of King Gojong is referred to as the early modern period. In the Americas, Native Americans had built a large and varied civilization, including the Aztec Empire and alliance, the Inca civilization, the Mayan Empire and cities, and the Chibcha Confederation. In the west, the European kingdoms and movements were in a movement of reformation and expansion. Russia reached the Pacific coast in 1647 and consolidated its control over the Russian Far East in the 19th century.
What is time is considered the "Modern Period" in Korea?
A: from the rising of Joseon Dynasty to the enthronement of King Gojong
Problem: Please answer a question about the following article about Tuberculosis:
The Mantoux tuberculin skin test is often used to screen people at high risk for TB. Those who have been previously immunized may have a false-positive test result. The test may be falsely negative in those with sarcoidosis, Hodgkin's lymphoma, malnutrition, and most notably, active tuberculosis. Interferon gamma release assays (IGRAs), on a blood sample, are recommended in those who are positive to the Mantoux test. These are not affected by immunization or most environmental mycobacteria, so they generate fewer false-positive results. However, they are affected by M. szulgai, M. marinum, and M. kansasii. IGRAs may increase sensitivity when used in addition to the skin test, but may be less sensitive than the skin test when used alone.
What result might someone who has received a TB vaccination get from the Mantoux test?
A: false-positive
Problem: Please answer a question about the following article about Detroit:
Detroit remains one of the most racially segregated cities in the United States. From the 1940s to the 1970s a second wave of Blacks moved to Detroit to escape Jim Crow laws in the south and find jobs. However, they soon found themselves excluded from white areas of the city—through violence, laws, and economic discrimination (e.g., redlining). White residents attacked black homes: breaking windows, starting fires, and exploding bombs. The pattern of segregation was later magnified by white migration to the suburbs. One of the implications of racial segregation, which correlates with class segregation, may be overall worse health for some populations.
What exacerbated segregation in Detroit?
A: white migration to the suburbs
<|start-PI|>Problem: Please answer a question about the following article about Dutch language:<|end-PI|>
In the United States, an almost extinct dialect of Dutch, Jersey Dutch, spoken by descendants of 17th-century Dutch settlers in Bergen and Passaic counties, was still spoken as late as 1921. Other Dutch-based creole languages once spoken in the Americas include Mohawk Dutch (in Albany, New York), Berbice (in Guyana), Skepi (in Essequibo, Guyana) and Negerhollands (in the United States Virgin Islands). Pennsylvania Dutch is not a member of the set of Dutch dialects and is less misleadingly called Pennsylvania German.
Which Dutch dialect was once spoken in the U.S. Virgin Islands?<|end-PI|>
A:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>Negerhollands<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nProblem: Please answer a question about the following article about Modern history:\nIn Asia, various Chinese dynasties and Japanese shogunates controlled the Asian sphere. In Japan, the Edo period from 1600 to 1868 is also referred to as the early modern period. And in Korea, from the rising of Joseon Dynasty to the enthronement of King Gojong is referred to as the early modern period. In the Americas, Native Americans had built a large and varied civilization, including the Aztec Empire and alliance, the Inca civilization, the Mayan Empire and cities, and the Chibcha Confederation. In the west, the European kingdoms and movements were in a movement of reformation and expansion. Russia reached the Pacific coast in 1647 and consolidated its control over the Russian Far East in the 19th century.\nWhat is time is considered the \"Modern Period\" in Korea?\nA: from the rising of Joseon Dynasty to the enthronement of King Gojong\nProblem: Please answer a question about the following article about Tuberculosis:\nThe Mantoux tuberculin skin test is often used to screen people at high risk for TB. Those who have been previously immunized may have a false-positive test result. The test may be falsely negative in those with sarcoidosis, Hodgkin's lymphoma, malnutrition, and most notably, active tuberculosis. Interferon gamma release assays (IGRAs), on a blood sample, are recommended in those who are positive to the Mantoux test. These are not affected by immunization or most environmental mycobacteria, so they generate fewer false-positive results. However, they are affected by M. szulgai, M. marinum, and M. kansasii. IGRAs may increase sensitivity when used in addition to the skin test, but may be less sensitive than the skin test when used alone.\nWhat result might someone who has received a TB vaccination get from the Mantoux test?\nA: false-positive\nProblem: Please answer a question about the following article about Detroit:\nDetroit remains one of the most racially segregated cities in the United States. From the 1940s to the 1970s a second wave of Blacks moved to Detroit to escape Jim Crow laws in the south and find jobs. However, they soon found themselves excluded from white areas of the city\u2014through violence, laws, and economic discrimination (e.g., redlining). White residents attacked black homes: breaking windows, starting fires, and exploding bombs. The pattern of segregation was later magnified by white migration to the suburbs. One of the implications of racial segregation, which correlates with class segregation, may be overall worse health for some populations.\nWhat exacerbated segregation in Detroit?\nA: white migration to the suburbs\n<|start-PI|>Problem: Please answer a question about the following article about Dutch language:<|end-PI|>\nIn the United States, an almost extinct dialect of Dutch, Jersey Dutch, spoken by descendants of 17th-century Dutch settlers in Bergen and Passaic counties, was still spoken as late as 1921. Other Dutch-based creole languages once spoken in the Americas include Mohawk Dutch (in Albany, New York), Berbice (in Guyana), Skepi (in Essequibo, Guyana) and Negerhollands (in the United States Virgin Islands). Pennsylvania Dutch is not a member of the set of Dutch dialects and is less misleadingly called Pennsylvania German.\nWhich Dutch dialect was once spoken in the U.S. Virgin Islands?<|end-PI|>\nA:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Negerhollands is a Dutch-based creole language that was historically spoken in the United States Virgin Islands. It emerged as a result of contact between Dutch colonizers and enslaved Africans in the 17th and 18th centuries. Negerhollands was used as a lingua franca in the Virgin Islands and other Caribbean territories under Dutch control. Although it is now considered an extinct language, Negerhollands provides valuable insights into the complex linguistic and cultural dynamics of the colonial era in the Americas. Its unique blend of Dutch, African, and indigenous influences reflects the diverse cultural heritage of the region.<|start-KFI|>Negerhollands<|end-KFI|>"}
| 882 | 0 |
flan_v2
|
flan_v2_1168
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
QUESTION: Trivia question: Which book of the New Testament follows the four Gospels?
****
ANS: acts
QUESTION: Trivia question: Which Russian city was formerly called Tsaritsyn and Stalingrad?
****
ANS: volgograd
QUESTION: Trivia question: Who founded Lotus Cars in 1952?
****
ANS: colin chapman
<|start-PI|>QUESTION: Trivia question: What were the christian names of Dr Jekyll and Mr Hyde?<|end-PI|>
****
ANS:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>henry jekyll and edward hyde<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nQUESTION: Trivia question: Which book of the New Testament follows the four Gospels?\n****\nANS: acts\n\n\nQUESTION: Trivia question: Which Russian city was formerly called Tsaritsyn and Stalingrad?\n****\nANS: volgograd\n\n\nQUESTION: Trivia question: Who founded Lotus Cars in 1952?\n****\nANS: colin chapman\n\n\n<|start-PI|>QUESTION: Trivia question: What were the christian names of Dr Jekyll and Mr Hyde?<|end-PI|>\n****\nANS:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Dr. Jekyll and Mr. Hyde are the main characters in Robert Louis Stevenson's classic novel \"The Strange Case of Dr. Jekyll and Mr. Hyde\". The story revolves around the dual nature of Dr. Henry Jekyll, a respected member of society, and his darker alter ego, Mr. Edward Hyde. The novel explores themes of morality, duality, and the struggle between good and evil. The names Henry Jekyll and Edward Hyde have become synonymous with the concept of a person's dual nature.<|start-KFI|>henry jekyll and edward hyde<|end-KFI|>"}
| 253 | 0 |
flan_v2
|
flan_v2_1193
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
Input: Brain
Another approach to brain function is to examine the consequences of damage to specific brain areas. Even though it is protected by the skull and meninges, surrounded by cerebrospinal fluid, and isolated from the bloodstream by the blood–brain barrier, the delicate nature of the brain makes it vulnerable to numerous diseases and several types of damage. In humans, the effects of strokes and other types of brain damage have been a key source of information about brain function. Because there is no ability to experimentally control the nature of the damage, however, this information is often difficult to interpret. In animal studies, most commonly involving rats, it is possible to use electrodes or locally injected chemicals to produce precise patterns of damage and then examine the consequences for behavior.
What type of animal is most commonly used to study brain damage?
Output: rats
Input: Premier League
The first Sky television rights agreement was worth £304 million over five seasons. The next contract, negotiated to start from the 1997–98 season, rose to £670 million over four seasons. The third contract was a £1.024 billion deal with BSkyB for the three seasons from 2001–02 to 2003–04. The league brought in £320 million from the sale of its international rights for the three-year period from 2004–05 to 2006–07. It sold the rights itself on a territory-by-territory basis. Sky's monopoly was broken from August 2006 when Setanta Sports was awarded rights to show two out of the six packages of matches available. This occurred following an insistence by the European Commission that exclusive rights should not be sold to one television company. Sky and Setanta paid a total of £1.7 billion, a two-thirds increase which took many commentators by surprise as it had been widely assumed that the value of the rights had levelled off following many years of rapid growth. Setanta also hold rights to a live 3 pm match solely for Irish viewers. The BBC has retained the rights to show highlights for the same three seasons (on Match of the Day) for £171.6 million, a 63 per cent increase on the £105 million it paid for the previous three-year period. Sky and BT have agreed to jointly pay £84.3 million for delayed television rights to 242 games (that is the right to broadcast them in full on television and over the internet) in most cases for a period of 50 hours after 10 pm on matchday. Overseas television rights fetched £625 million, nearly double the previous contract. The total raised from these deals is more than £2.7 billion, giving Premier League clubs an average media income from league games of around £40 million-a-year from 2007 to 2010.
How much was the second television rights contract awarded to Sky worth?
Output: £670 million
Input: Philosophy of space and time
However, asymmetry of causation can be observed in a non-arbitrary way which is not metaphysical in the case of a human hand dropping a cup of water which smashes into fragments on a hard floor, spilling the liquid. In this order, the causes of the resultant pattern of cup fragments and water spill is easily attributable in terms of the trajectory of the cup, irregularities in its structure, angle of its impact on the floor, etc. However, applying the same event in reverse, it is difficult to explain why the various pieces of the cup should fly up into the human hand and reassemble precisely into the shape of a cup, or why the water should position itself entirely within the cup. The causes of the resultant structure and shape of the cup and the encapsulation of the water by the hand within the cup are not easily attributable, as neither hand nor floor can achieve such formations of the cup or water. This asymmetry is perceivable on account of two features: i) the relationship between the agent capacities of the human hand (i.e., what it is and is not capable of and what it is for) and non-animal agency (i.e., what floors are and are not capable of and what they are for) and ii) that the pieces of cup came to possess exactly the nature and number of those of a cup before assembling. In short, such asymmetry is attributable to the relationship between temporal direction on the one hand and the implications of form and functional capacity on the other.
How many features of asymmetry in the cup example can be viewed?
Output: two
Input: Bern
<|start-PI|>What new territory was aquired in 1814?<|end-PI|>
Output:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>Bernese Jura.<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nInput: Brain\nAnother approach to brain function is to examine the consequences of damage to specific brain areas. Even though it is protected by the skull and meninges, surrounded by cerebrospinal fluid, and isolated from the bloodstream by the blood\u2013brain barrier, the delicate nature of the brain makes it vulnerable to numerous diseases and several types of damage. In humans, the effects of strokes and other types of brain damage have been a key source of information about brain function. Because there is no ability to experimentally control the nature of the damage, however, this information is often difficult to interpret. In animal studies, most commonly involving rats, it is possible to use electrodes or locally injected chemicals to produce precise patterns of damage and then examine the consequences for behavior.\n\nWhat type of animal is most commonly used to study brain damage?\nOutput: rats\n\nInput: Premier League\nThe first Sky television rights agreement was worth \u00a3304 million over five seasons. The next contract, negotiated to start from the 1997\u201398 season, rose to \u00a3670 million over four seasons. The third contract was a \u00a31.024 billion deal with BSkyB for the three seasons from 2001\u201302 to 2003\u201304. The league brought in \u00a3320 million from the sale of its international rights for the three-year period from 2004\u201305 to 2006\u201307. It sold the rights itself on a territory-by-territory basis. Sky's monopoly was broken from August 2006 when Setanta Sports was awarded rights to show two out of the six packages of matches available. This occurred following an insistence by the European Commission that exclusive rights should not be sold to one television company. Sky and Setanta paid a total of \u00a31.7 billion, a two-thirds increase which took many commentators by surprise as it had been widely assumed that the value of the rights had levelled off following many years of rapid growth. Setanta also hold rights to a live 3 pm match solely for Irish viewers. The BBC has retained the rights to show highlights for the same three seasons (on Match of the Day) for \u00a3171.6 million, a 63 per cent increase on the \u00a3105 million it paid for the previous three-year period. Sky and BT have agreed to jointly pay \u00a384.3 million for delayed television rights to 242 games (that is the right to broadcast them in full on television and over the internet) in most cases for a period of 50 hours after 10 pm on matchday. Overseas television rights fetched \u00a3625 million, nearly double the previous contract. The total raised from these deals is more than \u00a32.7 billion, giving Premier League clubs an average media income from league games of around \u00a340 million-a-year from 2007 to 2010.\n\nHow much was the second television rights contract awarded to Sky worth?\nOutput: \u00a3670 million\n\nInput: Philosophy of space and time\nHowever, asymmetry of causation can be observed in a non-arbitrary way which is not metaphysical in the case of a human hand dropping a cup of water which smashes into fragments on a hard floor, spilling the liquid. In this order, the causes of the resultant pattern of cup fragments and water spill is easily attributable in terms of the trajectory of the cup, irregularities in its structure, angle of its impact on the floor, etc. However, applying the same event in reverse, it is difficult to explain why the various pieces of the cup should fly up into the human hand and reassemble precisely into the shape of a cup, or why the water should position itself entirely within the cup. The causes of the resultant structure and shape of the cup and the encapsulation of the water by the hand within the cup are not easily attributable, as neither hand nor floor can achieve such formations of the cup or water. This asymmetry is perceivable on account of two features: i) the relationship between the agent capacities of the human hand (i.e., what it is and is not capable of and what it is for) and non-animal agency (i.e., what floors are and are not capable of and what they are for) and ii) that the pieces of cup came to possess exactly the nature and number of those of a cup before assembling. In short, such asymmetry is attributable to the relationship between temporal direction on the one hand and the implications of form and functional capacity on the other.\n\nHow many features of asymmetry in the cup example can be viewed?\nOutput: two\n\nInput: Bern\n<|start-PI|>What new territory was aquired in 1814?<|end-PI|>\nOutput:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>In 1814, Bern, the capital city of Switzerland, acquired the territory of Bernese Jura. This region, located in the northwest of Switzerland, was previously part of the French department of Haut-Rhin. Following Napoleon's defeat, the Congress of Vienna redrew the European map, and Bernese Jura was assigned to the Canton of Bern. This acquisition significantly expanded Bern's territory and population, strengthening its position within the Swiss Confederation. The integration of Bernese Jura into Bern was a significant event in the city's history, marking a major expansion of its borders and influence.<|start-KFI|>Bernese Jura.<|end-KFI|>"}
| 1,150 | 0 |
flan_v2
|
flan_v2_1197
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
cytosine is an example of a nitrogen base found on what acids???
Answer: nucleic
Question: who is the green guy from sesame street?
Answer: Oscar the Grouch
Answer this question: average life expectancy for a west highland terrier??
12 to 17 years
Q: who does peter parker end up with in the comics?A: Mary Jane Watson
Input: when was the last flight to the moon?
Output: 23 October 2014
<|start-PI|>who wrote mamas dont let your babies grow up to be cowboys???<|end-PI|>
Answer:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>Ed Bruce<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\ncytosine is an example of a nitrogen base found on what acids???\n\nAnswer: nucleic\n\nQuestion: who is the green guy from sesame street?\n\nAnswer: Oscar the Grouch\n\nAnswer this question: average life expectancy for a west highland terrier??\n\n12 to 17 years\n\nQ: who does peter parker end up with in the comics?A: Mary Jane Watson\n\nInput: when was the last flight to the moon?\n\nOutput: 23 October 2014\n\n<|start-PI|>who wrote mamas dont let your babies grow up to be cowboys???<|end-PI|>\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>\"Mamas Don't Let Your Babies Grow Up to Be Cowboys\" is a famous country music song written by Ed Bruce and Patsy Bruce. The song was first recorded by Ed Bruce in 1975. It gained popularity when Waylon Jennings and Willie Nelson recorded a cover version in 1978, which became a huge hit. The song has since become a country music classic, with its catchy melody and memorable lyrics.<|start-KFI|>Ed Bruce<|end-KFI|>"}
| 243 | 0 |
flan_v2
|
flan_v2_1267
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
who plays blink in days of future past???
Answer: Fan Bingbing
when did the british hand-over sovereignty of hong kong back to china???
Answer: 1 July 1997
who did the original stand by me song???
Answer: Ben E. King
<|start-PI|>what type of book is the catcher in the rye???<|end-PI|>
Answer:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>Realistic fiction<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nwho plays blink in days of future past???\n\nAnswer: Fan Bingbing\n\nwhen did the british hand-over sovereignty of hong kong back to china???\n\nAnswer: 1 July 1997\n\nwho did the original stand by me song???\n\nAnswer: Ben E. King\n\n<|start-PI|>what type of book is the catcher in the rye???<|end-PI|>\n\nAnswer:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>The Catcher in the Rye, written by J.D. Salinger, is a classic coming-of-age novel that falls under the genre of realistic fiction. This genre is characterized by its focus on depicting everyday life and the struggles of ordinary people in a realistic and relatable manner. The book follows the story of Holden Caulfield, a disillusioned teenager, as he navigates the challenges of adolescence and grapples with the complexities of the adult world. The novel's realistic portrayal of teenage angst, rebellion, and self-discovery has made it a timeless and influential work in modern literature.<|start-KFI|>Realistic fiction<|end-KFI|>"}
| 232 | 0 |
flan_v2
|
flan_v2_1281
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
where do the light dependent reactions of photosynthesis take place???
Answer: on the thylakoid membranes
Question: who is taking over the throne in england?
Answer: Charles, Prince of Wales
Answer this question: who plays freddy krueger in nightmare return to elm street??
Robert Englund
Q: who played boom boom turner on all in the family?A: Gloria Jacqueline LeRoy
Input: when did chris hemsworth leave home and away?
Output: 3 July 2007
<|start-PI|>who won the first series of x factor uk???<|end-PI|>
Answer:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>Steve Brookstein<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nwhere do the light dependent reactions of photosynthesis take place???\n\nAnswer: on the thylakoid membranes\n\nQuestion: who is taking over the throne in england?\n\nAnswer: Charles, Prince of Wales\n\nAnswer this question: who plays freddy krueger in nightmare return to elm street??\n\nRobert Englund\n\nQ: who played boom boom turner on all in the family?A: Gloria Jacqueline LeRoy\n\nInput: when did chris hemsworth leave home and away?\n\nOutput: 3 July 2007\n\n<|start-PI|>who won the first series of x factor uk???<|end-PI|>\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>The first series of The X Factor UK premiered in 2004 and was won by Steve Brookstein, a 29-year-old singer from London. Brookstein was part of the Over 25s category mentored by Simon Cowell. He was crowned the winner on February 11, 2005, after defeating 16-year-old Tabby Callaghan in the final. Brookstein's debut single, a cover of Phil Collins' \"Against All Odds,\" reached number two on the UK Singles Chart.<|start-KFI|>Steve Brookstein<|end-KFI|>"}
| 263 | 0 |
flan_v2
|
flan_v2_1286
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
In: where is the cornea located in the eye??
Out: front part of the eye
In: who played dr dre in all eyes on me??
Out: Harold House Moore
In: a process in which at least one new substance is produced as a result of chemical change??
Out: chemical reaction
<|start-PI|>In: when does chinese new year start this year??<|end-PI|>
Out:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>16 February<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nIn: where is the cornea located in the eye??\n\nOut: front part of the eye\n\n\nIn: who played dr dre in all eyes on me??\n\nOut: Harold House Moore\n\n\nIn: a process in which at least one new substance is produced as a result of chemical change??\n\nOut: chemical reaction\n\n\n<|start-PI|>In: when does chinese new year start this year??<|end-PI|>\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Chinese New Year, also known as the Spring Festival, is a traditional Chinese holiday that marks the beginning of the new year on the lunisolar Chinese calendar. The date of Chinese New Year varies each year, falling between January 21 and February 20. In 2023, Chinese New Year begins on February 10, but since you asked about \"this year,\" I assume you're referring to the current year. According to the Chinese calendar,<|start-KFI|>16 February<|end-KFI|>"}
| 208 | 0 |
flan_v2
|
flan_v2_1306
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
QUESTION: Generate a question with a factual answer?
ANS: Who's responsibility is case law?
QUESTION: Generate a question with a factual answer?
ANS: What type of eulogy is provided for the King?
QUESTION: Generate a question with a factual answer?
ANS: What are the names of the Conservative synagogues in Richmond?
<|start-PI|>QUESTION: Generate a question with a factual answer?
ANS:<|end-PI|>
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>Why did the Sumerian farmers make their oxen stomp the ground?<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nQUESTION: Generate a question with a factual answer?\n\nANS: Who's responsibility is case law?\n\n\nQUESTION: Generate a question with a factual answer?\n\nANS: What type of eulogy is provided for the King?\n\n\nQUESTION: Generate a question with a factual answer?\n\nANS: What are the names of the Conservative synagogues in Richmond?\n\n<|end-PI|>\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>The Sumerian farmers made their oxen stomp the ground as part of their agricultural practices in ancient Mesopotamia. This technique was used to prepare the soil for planting crops. The oxen's hooves would break up the hard earth and create small trenches, allowing for better water penetration and aeration of the soil. This method was particularly useful in the fertile but dry regions of Mesopotamia, where irrigation was crucial for successful farming. The oxen's stomping also helped to flatten the ground, making it easier for the farmers to sow seeds and harvest their crops. This labor-intensive process was a crucial step in the Sumerians' agricultural cycle, which was the backbone of their economy and society.<|start-KFI|>Why did the Sumerian farmers make their oxen stomp the ground?<|end-KFI|>"}
| 269 | 0 |
flan_v2
|
flan_v2_1311
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
QUESTION: Trivia question: Botswana was until 1966 known as what?
****
ANS: bechuanaland
Mei Li:
Hailing from Hannibal, Mo, and portrayed by Harry Morgan, who lead the company of screwball doctors for 7 seasons on the hit TV series M*A*S*H??
Shuai Zheng:
col sherman t potter
Input question: On which river does St Petersburg lie?
Output answer: neva
question: Answer this question.
The Star of 'who' appears on the National flag of Israel?
answer: david
question: What is the answer: In which 1987 film did Arnold Schartzenegger play a contestant in a futuristic game show
answer: running man
<|start-PI|>QUESTION: Trivia question: The spiny leguminous plant called furze is also known as what?
****
ANS:<|end-PI|>
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>gorse<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nQUESTION: Trivia question: Botswana was until 1966 known as what?\n****\nANS: bechuanaland\n\n\nMei Li:\nHailing from Hannibal, Mo, and portrayed by Harry Morgan, who lead the company of screwball doctors for 7 seasons on the hit TV series M*A*S*H??\nShuai Zheng:\ncol sherman t potter\n\n\nInput question: On which river does St Petersburg lie?\n\nOutput answer: neva\n\n\nquestion: Answer this question.\n\nThe Star of 'who' appears on the National flag of Israel?\nanswer: david\n\n\nquestion: What is the answer: In which 1987 film did Arnold Schartzenegger play a contestant in a futuristic game show\nanswer: running man\n\n\n<|start-PI|>QUESTION: Trivia question: The spiny leguminous plant called furze is also known as what?\n****\nANS:<|end-PI|>\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Gorse, also known as furze, is a type of spiny leguminous plant commonly found in Europe and North Africa. It is characterized by its bright yellow flowers and sharp, thorny stems. Gorse is often used as a hedge or boundary marker due to its dense growth and prickly nature. In some regions, it is considered an invasive species, while in others it is valued for its ability to stabilize soil and provide habitat for wildlife. The plant has also been used in traditional medicine and as a source of fuel.<|start-KFI|>gorse<|end-KFI|>"}
| 338 | 0 |
flan_v2
|
flan_v2_1333
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
input: What is the answer to this question? what is the distance around lake of the isles?
output: 2.86 miles
input: What is the answer to this question? who has the most professional golf tournament wins?
output: Sam Snead
input: <|start-PI|>What is the answer to this question? how many gold medals did india win in 2018 commonwealth games?<|end-PI|>
output:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>26<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\ninput: What is the answer to this question? what is the distance around lake of the isles?\n\noutput: 2.86 miles\n\n\ninput: What is the answer to this question? who has the most professional golf tournament wins?\n\noutput: Sam Snead\n\n\ninput: <|start-PI|>What is the answer to this question? how many gold medals did india win in 2018 commonwealth games?<|end-PI|>\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>India participated in the 2018 Commonwealth Games held in Gold Coast, Australia, from April 4 to 15, 2018. The country sent a large contingent of athletes across various sports disciplines. During the games, Indian athletes performed exceptionally well, winning a total of 66 medals. Out of these, 26 medals were gold medals, which is a significant achievement for the country in the Commonwealth Games. The gold medals were won in events such as shooting, wrestling, badminton, table tennis, and athletics. This performance showcased India's growing strength in various sports and its ability to compete at the international level.<|start-KFI|>26<|end-KFI|>"}
| 241 | 0 |
flan_v2
|
flan_v2_1353
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
Problem: The Gegs are an ethnic group from which European country?
======
A: albania
Q: What nationality is tennis player Karen Hantze Susman who won the 1962 Ladies Singles title at Wimbledon, beating Vera Sukova in the final?
A: american
Problem: Which of Henry VIII's wives is said to haunt Hampton Court?
Answer: catherine howard
Q: Which Spanish queen sponsored the expeditions of Christopher Columbus?
-----
A: isabella
Q: What is the name of the eastern part of the Sahara Desert, lying between the Nile and the Red Sea in north-eastern Sudan?
What is the answer?
A: nubian desert
<|start-PI|>Q: Which wars began with the Battle of St. Albans and finished with the Battle of Bosworth<|end-PI|>
What is the answer?
A:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>wars of roses<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nProblem: The Gegs are an ethnic group from which European country?\n======\nA: albania\n\n\nQ: What nationality is tennis player Karen Hantze Susman who won the 1962 Ladies Singles title at Wimbledon, beating Vera Sukova in the final?\nA: american\n\n\nProblem: Which of Henry VIII's wives is said to haunt Hampton Court?\nAnswer: catherine howard\n\n\nQ: Which Spanish queen sponsored the expeditions of Christopher Columbus?\n-----\nA: isabella\n\n\nQ: What is the name of the eastern part of the Sahara Desert, lying between the Nile and the Red Sea in north-eastern Sudan?\nWhat is the answer?\n\nA: nubian desert\n\n\n<|start-PI|>Q: Which wars began with the Battle of St. Albans and finished with the Battle of Bosworth<|end-PI|>\nWhat is the answer?\n\nA:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>The Wars of the Roses were a series of civil wars fought in medieval England from 1455 to 1485. These conflicts were between the houses of Lancaster and York, both branches of the royal House of Plantagenet. The wars began with the First Battle of St Albans in 1455, where the Yorkist forces defeated the Lancastrians. The conflict continued for over three decades, with various battles and alliances shifting the balance of power. The Wars of the Roses finally came to an end with the Battle of Bosworth Field in 1485, where Henry Tudor, a Lancastrian claimant, defeated and killed Richard III, the last Yorkist king. This marked the beginning of the Tudor dynasty, which ruled England for the next 118 years.<|start-KFI|>wars of roses<|end-KFI|>"}
| 380 | 0 |
flan_v2
|
flan_v2_1364
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
QUESTION: answer this: who is santa in the christmas story live??
ANS: David Alan Grier
input: What is the answer to this question? when was the last time the us open was at shinnecock?
output: 2018
In: who is regarded as the father of geometry??
Out: Euclid
Please answer this: what is the next marvel movie after civil war?
Doctor Strange
Q: Answer this question:
who is in charge of public schools in america??
A: State governments
<|start-PI|>Q: sex and the city season 1 air date?A:<|end-PI|>
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>June 6, 1998<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nQUESTION: answer this: who is santa in the christmas story live??\n\nANS: David Alan Grier\n\ninput: What is the answer to this question? when was the last time the us open was at shinnecock?\n\noutput: 2018\n\nIn: who is regarded as the father of geometry??\n\nOut: Euclid\n\nPlease answer this: what is the next marvel movie after civil war?\n\nDoctor Strange\n\nQ: Answer this question:\n\nwho is in charge of public schools in america??\n\nA: State governments\n\n<|start-PI|>Q: sex and the city season 1 air date?A:<|end-PI|>\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Sex and the City, a popular American television series created by Darren Star, premiered on June 6, 1998, on HBO. The show, based on Candace Bushnell's 1997 book of the same name, follows the lives of four women in New York City as they navigate relationships, careers, and personal growth. The first season, which consisted of 12 episodes, introduced audiences to Carrie Bradshaw (Sarah Jessica Parker), Samantha Jones (Kim Cattrall), Charlotte York (Kristin Davis), and Miranda Hobbes (Cynthia Nixon). The show's debut was met with critical acclaim and commercial success, paving the way for six seasons and two feature films.<|start-KFI|>June 6, 1998<|end-KFI|>"}
| 311 | 0 |
flan_v2
|
flan_v2_1369
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
input: What is the answer to this question? who was the chief minister of karnataka when mysore was renamed as karnataka?
output: Veerendra Patil
input: What is the answer to this question? which are the two states next to u.p. having maximum representation in lok sabha?
output: Maharashtra
input: <|start-PI|>What is the answer to this question? who is the song there goes my hero about?<|end-PI|>
output:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>Pete Stahl<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\ninput: What is the answer to this question? who was the chief minister of karnataka when mysore was renamed as karnataka?\n\noutput: Veerendra Patil\n\n\ninput: What is the answer to this question? which are the two states next to u.p. having maximum representation in lok sabha?\n\noutput: Maharashtra\n\n\ninput: <|start-PI|>What is the answer to this question? who is the song there goes my hero about?<|end-PI|>\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>\"There Goes My Hero\" is a song by the American rock band Foo Fighters, from their 2002 album One by One. The song was written by the band's lead vocalist and guitarist Dave Grohl. The lyrics of the song are somewhat ambiguous and open to interpretation, but they are generally thought to be about a person who is idolized or admired by the narrator. The song's title and lyrics have sparked much speculation about who the song might be about, with various theories ranging from a tribute to a personal hero to a commentary on the fleeting nature of fame. Despite the uncertainty surrounding the song's inspiration, \"There Goes My Hero\" remains a popular track in the Foo Fighters' discography.<|start-KFI|>Pete Stahl<|end-KFI|>"}
| 270 | 0 |
flan_v2
|
flan_v2_1371
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
QUESTION: Trivia question: What does DSM-IV define as: A. Refusal to maintain body weight at or above a minimally normal weight for age and height B. Intense fear of gaining weight or becoming fat, even though underweight. C. Disturbance in the way in which one's body weight or shape is experienced, undue influence of body weight or shape on self-evaluation, or denial of the seriousness of the current low body weight. D. In postmenarcheal females, the absence of at least three consecutive menstrual cycles.
****
ANS: anorexia nervosa
Mei Li:
From which country does the popular Christmas plant, the Poinsettia, originate??
Shuai Zheng:
mexico
Input question: What is the English name of Médecins Sans Frontières?
Output answer: doctors without borders
question: Answer this question.
"Who wrote the poem, ""In Memoriam"", which contains the lines, ""It is better to have loved and lost, than never to have loved at all""?"
answer: alfred lord tennyson
question: What is the answer: Which author was responsible for the series of short comic books Brigadier Gerard?
answer: arthur conan doyle
<|start-PI|>Q: Which P.R. first appeared in a 1902 book, in which he lost his jacket and shoes?<|end-PI|>
-----
A:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>peter rabbit<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nQUESTION: Trivia question: What does DSM-IV define as: A. Refusal to maintain body weight at or above a minimally normal weight for age and height B. Intense fear of gaining weight or becoming fat, even though underweight. C. Disturbance in the way in which one's body weight or shape is experienced, undue influence of body weight or shape on self-evaluation, or denial of the seriousness of the current low body weight. D. In postmenarcheal females, the absence of at least three consecutive menstrual cycles.\n****\nANS: anorexia nervosa\n\n\nMei Li:\nFrom which country does the popular Christmas plant, the Poinsettia, originate??\nShuai Zheng:\nmexico\n\n\nInput question: What is the English name of M\u00e9decins Sans Fronti\u00e8res?\n\nOutput answer: doctors without borders\n\n\nquestion: Answer this question.\n\n\"Who wrote the poem, \"\"In Memoriam\"\", which contains the lines, \"\"It is better to have loved and lost, than never to have loved at all\"\"?\"\nanswer: alfred lord tennyson\n\n\nquestion: What is the answer: Which author was responsible for the series of short comic books Brigadier Gerard?\nanswer: arthur conan doyle\n\n\n<|start-PI|>Q: Which P.R. first appeared in a 1902 book, in which he lost his jacket and shoes?<|end-PI|>\n-----\nA:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Peter Rabbit is a beloved character in children's literature created by Beatrix Potter. He first appeared in her 1902 book titled \"The Tale of Peter Rabbit.\" In this story, Peter Rabbit, a mischievous young rabbit, ventures into Mr. McGregor's garden despite his mother's warnings. During his adventure, he loses his jacket and shoes while trying to escape from Mr. McGregor. This iconic character has since become a symbol of childhood innocence and curiosity, with numerous adaptations and spin-offs in various media forms.<|start-KFI|>peter rabbit<|end-KFI|>"}
| 458 | 0 |
flan_v2
|
flan_v2_1375
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
Q: What is the one-sleeved half-jacket worn under a jacket as additional protection in the sport of fencing?
What is the answer?
A: plastron
Q: What type of animal is a water moccasin?
What is the answer?
A: snake
Q: Which Stephen King novel features the characters John and Wendy Torrance and their son Danny?
What is the answer?
A: shining
<|start-PI|>Q: During WW II what was Operation Pied Piper?
What is the answer?<|end-PI|>
A:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>evacuation of british children<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nQ: What is the one-sleeved half-jacket worn under a jacket as additional protection in the sport of fencing?\nWhat is the answer?\n\nA: plastron\n\nQ: What type of animal is a water moccasin?\nWhat is the answer?\n\nA: snake\n\nQ: Which Stephen King novel features the characters John and Wendy Torrance and their son Danny?\nWhat is the answer?\n\nA: shining\n\n<|start-PI|>Q: During WW II what was Operation Pied Piper?\nWhat is the answer?<|end-PI|>\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Operation Pied Piper was a large-scale evacuation of civilians, particularly children, from urban areas in the United Kingdom during World War II. The operation was carried out in response to the threat of German bombing raids on British cities. Between 1939 and 1945, millions of people, mostly children, were relocated from cities to the countryside or other safer areas. This massive evacuation effort was code-named Operation Pied Piper, named after the legendary figure who led children out of harm's way. The operation was a significant logistical undertaking, involving the coordination of transportation, housing, and care for the relocated individuals.<|start-KFI|>evacuation of british children<|end-KFI|>"}
| 268 | 0 |
flan_v2
|
flan_v2_1387
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
QUESTION: Trivia question: What name is generally given to unglazed porcelain?
****
ANS: biscuit
Mei Li:
What is the term for a two week period??
Shuai Zheng:
fortnight
Input question: What type of creature is a capelin?
Output answer: fish
question: Answer this question.
Nickelodeon was founded in 1979 by which company?
answer: warner amex
question: What is the answer: Sandra, Gerry, Jack and Brian are all characters in which UK television fictional crime series?
answer: new tricks
<|start-PI|>Q: Who discovered penicillin on Valentine's Day in 1929?
-----<|end-PI|>
A:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|> sir alexander fleming<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nQUESTION: Trivia question: What name is generally given to unglazed porcelain?\n****\nANS: biscuit\n\n\nMei Li:\nWhat is the term for a two week period??\nShuai Zheng:\nfortnight\n\n\nInput question: What type of creature is a capelin?\n\nOutput answer: fish\n\n\nquestion: Answer this question.\n\nNickelodeon was founded in 1979 by which company?\nanswer: warner amex\n\n\nquestion: What is the answer: Sandra, Gerry, Jack and Brian are all characters in which UK television fictional crime series?\nanswer: new tricks\n\n\n<|start-PI|>Q: Who discovered penicillin on Valentine's Day in 1929?\n-----<|end-PI|>\nA:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Sir Alexander Fleming was a Scottish biologist, pharmacologist, and botanist who made significant contributions to the field of medicine. On February 14, 1929, while working in his laboratory at St. Mary's Hospital in London, Fleming accidentally discovered penicillin. He observed that a mold had contaminated one of his bacterial cultures, and to his surprise, the mold had killed off the surrounding bacteria. This chance discovery led to the development of penicillin as a medicine, revolutionizing the treatment of bacterial infections. Fleming's groundbreaking work earned him the Nobel Prize in Physiology or Medicine in 1945, along with Howard Florey and Ernst Boris Chain, who further developed and purified penicillin for medical use.<|start-KFI|> sir alexander fleming<|end-KFI|>"}
| 339 | 0 |
flan_v2
|
flan_v2_1390
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
Problem: Carnival:
Tacitus wrote in his Germania: Germania 9.6: Ceterum nec cohibere parietibus deos neque in ullam humani oris speciem adsimulare ex magnitudine caelestium arbitrator – "The Germans, however, do not consider it consistent with the grandeur of celestial beings to confine the gods within walls, or to liken them to the form of any human countenance." Germania 40: mox vehiculum et vestis et, si credere velis, numen ipsum secreto lacu abluitur – "Afterwards the car, the vestments, and, if you like to believe it, the divinity herself, are purified in a secret lake."
Germans do not liken the gods to whose countenance?
---
A: human
Problem: Sino-Tibetan relations during the Ming dynasty:
When an ally of the Ü-Tsang ruler threatened destruction of the Gelugpas again, the fifth Dalai Lama Lozang Gyatso pleaded for help from the Mongol prince Güshi Khan (1582–1655), leader of the Khoshut (Qoshot) tribe of the Oirat Mongols, who was then on a pilgrimage to Lhasa. Güshi Khan accepted his role as protector, and from 1637–1640 he not only defeated the Gelugpas' enemies in the Amdo and Kham regions, but also resettled his entire tribe into Amdo. Sonam Chöpel urged Güshi Khan to assault the Ü-Tsang king's homebase of Shigatse, which Güshi Khan agreed upon, enlisting the aid of Gelug monks and supporters. In 1642, after a year's siege of Shigatse, the Ü-Tsang forces surrendered. Güshi Khan then captured and summarily executed Karma Tenkyong, the ruler of Ü-Tsang, King of Tibet.
When did the Ü-Tsang forces surrender?
---
A: 1642
Problem: Pope Paul VI:
The Lutherans were the first Protestant Church offering a dialogue to the Catholic Church in September 1964 in Reykjavík, Iceland. It resulted in joint study groups of several issues. The dialogue with the Methodist Church began October 1965, after its representatives officially applauded remarkable changes, friendship and cooperation of the past five years. The Reformed Churches entered four years later into a dialogue with the Catholic Church. The President of the Lutheran World Federation and member of the central committee of the World Council of Churches Fredrik A. Schiotz stated during the 450th anniversary of the Reformation, that earlier commemorations were viewed almost as a triumph. Reformation should be celebrated as a thanksgiving to God, his truth and his renewed life. He welcomed the announcement of Pope Paul VI to celebrate the 1900th anniversary of the death of the Apostle Peter and Apostle Paul, and promised the participation and cooperation in the festivities.
To whom did Schiotz state one should be grateful for the Reformation?
---
A: God
Problem: Economy of Greece:
<|start-PI|>Counting shipping as quasi-exports and in terms of monetary value, Greece ranked 4th globally in 2011 having "exported" shipping services worth<|end-PI|> <|retrieval|><|start-KFI|>17,704.132 million $<|end-KFI|>; only Denmark, Germany and South Korea ranked higher during that year. Similarly counting shipping services provided to Greece by other countries as quasi-imports and the difference between "exports" and "imports" as a "trade balance", Greece in 2011 ranked in the latter second behind Germany, having "imported" shipping services worth <|retrieval|><|start-KFI|>7,076.605 million US$<|end-KFI|> and having run a "trade surplus" of 10,712.342 million US$.
<|start-PI|>What was the shipping services imported by Greece in 2011 worth?<|end-PI|>
---
A:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>7,076.605 million US$<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nProblem: Carnival:\n\nTacitus wrote in his Germania: Germania 9.6: Ceterum nec cohibere parietibus deos neque in ullam humani oris speciem adsimulare ex magnitudine caelestium arbitrator \u2013 \"The Germans, however, do not consider it consistent with the grandeur of celestial beings to confine the gods within walls, or to liken them to the form of any human countenance.\" Germania 40: mox vehiculum et vestis et, si credere velis, numen ipsum secreto lacu abluitur \u2013 \"Afterwards the car, the vestments, and, if you like to believe it, the divinity herself, are purified in a secret lake.\"\n\nGermans do not liken the gods to whose countenance?\n---\nA: human\n\n\nProblem: Sino-Tibetan relations during the Ming dynasty:\n\nWhen an ally of the \u00dcr-Tsang ruler threatened destruction of the Gelugpas again, the fifth Dalai Lama Lozang Gyatso pleaded for help from the Mongol prince G\u00fcshi Khan (1582\u20131655), leader of the Khoshut (Qoshot) tribe of the Oirat Mongols, who was then on a pilgrimage to Lhasa. G\u00fcshi Khan accepted his role as protector, and from 1637\u20131640 he not only defeated the Gelugpas' enemies in the Amdo and Kham regions, but also resettled his entire tribe into Amdo. Sonam Ch\u00f6pel urged G\u00fcshi Khan to assault the \u00dcr-Tsang king's homebase of Shigatse, which G\u00fcshi Khan agreed upon, enlisting the aid of Gelug monks and supporters. In 1642, after a year's siege of Shigatse, the \u00dcr-Tsang forces surrendered. G\u00fcshi Khan then captured and summarily executed Karma Tenkyong, the ruler of \u00dcr-Tsang, King of Tibet.\n\nWhen did the \u00dcr-Tsang forces surrender?\n---\nA: 1642\n\n\nProblem: Pope Paul VI:\n\nThe Lutherans were the first Protestant Church offering a dialogue to the Catholic Church in September 1964 in Reykjav\u00edk, Iceland. It resulted in joint study groups of several issues. The dialogue with the Methodist Church began October 1965, after its representatives officially applauded remarkable changes, friendship and cooperation of the past five years. The Reformed Churches entered four years later into a dialogue with the Catholic Church. The President of the Lutheran World Federation and member of the central committee of the World Council of Churches Fredrik A. Schiotz stated during the 450th anniversary of the Reformation, that earlier commemorations were viewed almost as a triumph. Reformation should be celebrated as a thanksgiving to God, his truth and his renewed life. He welcomed the announcement of Pope Paul VI to celebrate the 1900th anniversary of the death of the Apostle Peter and Apostle Paul, and promised the participation and cooperation in the festivities.\n\nTo whom did Schiotz state one should be grateful for the Reformation?\n---\nA: God\n\n\nProblem: Economy of Greece:\n\n<|start-PI|>Counting shipping as quasi-exports and in terms of monetary value, Greece ranked 4th globally in 2011 having \"exported\" shipping services worth<|end-PI|> <|retrieval|>Greece's shipping industry played a significant role in the country's economy in 2011. The sector's performance was remarkable, with Greece ranking fourth globally in terms of the monetary value of its shipping services. This ranking was achieved through a combination of factors, including the country's strategic location, its long history of maritime trade, and the competitiveness of its shipping companies. The industry's success was also reflected in its contribution to Greece's trade balance.<|start-KFI|>17,704.132 million $<|end-KFI|>; only Denmark, Germany and South Korea ranked higher during that year. Similarly counting shipping services provided to Greece by other countries as quasi-imports and the difference between \"exports\" and \"imports\" as a \"trade balance\", Greece in 2011 ranked in the latter second behind Germany, having \"imported\" shipping services worth <|retrieval|>Greece's shipping industry was not only a significant contributor to its own economy but also had a substantial impact on its trade balance. In 2011, the country's \"import\" of shipping services from other nations was substantial, reflecting the global nature of the maritime trade. This \"import\" figure was calculated by considering the shipping services provided to Greece by foreign companies. The difference between Greece's \"exports\" and \"imports\" of shipping services resulted in a significant \"trade surplus\" for the country. The \"import\" value of shipping services was a notable component of this calculation, and it played a crucial role in determining Greece's overall trade balance in the shipping sector.<|start-KFI|>7,076.605 million US$<|end-KFI|> and having run a \"trade surplus\" of 10,712.342 million US$."}
| 1,109 | 0 |
flan_v2
|
flan_v2_1393
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
when do we use dummy variables in regression???
Answer: qualitative facts
Question: where does the term dead end come from?
Answer: French
Answer this question: when was texas annexed by the united states??
December 29, 1845
Q: last player to go from highschool to mlb?A: Jim Abbott
Input: when was the bull leaping bronze statue found?
Output: 1921
<|start-PI|>Answer this question: what is the national aquatic animal of india??<|end-PI|>
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>Gangetic dolphin<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nwhen do we use dummy variables in regression???\n\nAnswer: qualitative facts\n\nQuestion: where does the term dead end come from?\n\nAnswer: French\n\nAnswer this question: when was texas annexed by the united states??\n\nDecember 29, 1845\n\nQ: last player to go from highschool to mlb?A: Jim Abbott\n\nInput: when was the bull leaping bronze statue found?\n\nOutput: 1921\n\n<|start-PI|>Answer this question: what is the national aquatic animal of india??<|end-PI|>\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>The national aquatic animal of India is a fascinating creature. It is a freshwater dolphin species found in the Ganges-Brahmaputra river system. This dolphin is known for its distinctive appearance, with a long, slender body and a prominent dorsal fin. It is an endangered species due to habitat loss, pollution, and hunting. The Gangetic dolphin is considered sacred in Hindu mythology and is often depicted in ancient Indian art. It plays a crucial role in maintaining the ecological balance of the rivers it inhabits.<|start-KFI|>Gangetic dolphin<|end-KFI|>"}
| 246 | 0 |
flan_v2
|
flan_v2_1406
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
Input: who played edward 40 hands how i met your mother?
Output: Marshall
Input: how old did you have to be to put your name in the goblet of fire?
Output: over 17
Input: how many times did india win hockey world cup?
Output: once
<|start-PI|>Input: who makes the kentucky derby garland of roses?<|end-PI|>
Output:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>The Kroger Company<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nInput: who played edward 40 hands how i met your mother?\n\nOutput: Marshall\n\nInput: how old did you have to be to put your name in the goblet of fire?\n\nOutput: over 17\n\nInput: how many times did india win hockey world cup?\n\nOutput: once\n\n<|start-PI|>Input: who makes the kentucky derby garland of roses?<|end-PI|>\n\nOutput:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>The Kentucky Derby garland of roses is a long-standing tradition in American horse racing. The garland is made up of over 400 red roses, carefully arranged to create a stunning display. The tradition of presenting the winner of the Kentucky Derby with a garland of roses dates back to 1883. The roses are grown specifically for this event at a local farm in Kentucky. The Kroger Company, a major American retailer, has been the official florist of the Kentucky Derby since 1987. They are responsible for designing and creating the iconic garland of roses, which is presented to the winning horse and jockey each year.<|start-KFI|>The Kroger Company<|end-KFI|>"}
| 245 | 0 |
flan_v2
|
flan_v2_1409
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
Input: Read this: Kathmandu has a larger proportion of tea drinkers than coffee drinkers. Tea is widely served but is extremely weak by western standards. It is richer and contains tea leaves boiled with milk, sugar and spices. Alcohol is widely drunk, and there are numerous local variants of alcoholic beverages. Drinking and driving is illegal, and authorities have a zero tolerance policy. Ailaa and thwon (alcohol made from rice) are the alcoholic beverages of Kathmandu, found in all the local bhattis (alcohol serving eateries). Chhyaang, tongba (fermented millet or barley) and rakshi are alcoholic beverages from other parts of Nepal which are found in Kathmandu. However, shops and bars in Kathmandu widely sell western and Nepali beers.
Question: What goes through a fermentation process to create tongba?
Output: millet or barley
QUES: Lateral-cut disc records were developed in the United States by Emile Berliner, who named his system the "gramophone", distinguishing it from Edison's wax cylinder "phonograph" and Columbia's wax cylinder "graphophone". Berliner's earliest discs, first marketed in 1889, but only in Europe, were 5 inches (13 cm) in diameter, and were played with a small hand-propelled machine. Both the records and the machine were adequate only for use as a toy or curiosity, due to the limited sound quality. In the United States in 1894, under the Berliner Gramophone trademark, Berliner started marketing records with somewhat more substantial entertainment value, along with somewhat more substantial gramophones to play them. Berliner's records had poor sound quality compared to wax cylinders, but his manufacturing associate Eldridge R. Johnson eventually improved the sound quality. Abandoning Berliner's "Gramophone" trademark for legal reasons, in 1901 Johnson's and Berliner's separate companies reorganized to form the Victor Talking Machine Company, whose products would come to dominate the market for many years. Emile Berliner moved his company to Montreal in 1900. The factory which became RCA Victor stills exists. There is a dedicated museum in Montreal for Berliner.
What is the name of lateral cut disc records?
What is the answer?
ANS: gramophone
QUES: Burrel's innovative design, which combined the low production cost of an Apple II with the computing power of Lisa's CPU, the Motorola 68K, received the attention of Steve Jobs, co-founder of Apple. Realizing that the Macintosh was more marketable than the Lisa, he began to focus his attention on the project. Raskin left the team in 1981 over a personality conflict with Jobs. Team member Andy Hertzfeld said that the final Macintosh design is closer to Jobs' ideas than Raskin's. After hearing of the pioneering GUI technology being developed at Xerox PARC, Jobs had negotiated a visit to see the Xerox Alto computer and its Smalltalk development tools in exchange for Apple stock options. The Lisa and Macintosh user interfaces were influenced by technology seen at Xerox PARC and were combined with the Macintosh group's own ideas. Jobs also commissioned industrial designer Hartmut Esslinger to work on the Macintosh line, resulting in the "Snow White" design language; although it came too late for the earliest Macs, it was implemented in most other mid- to late-1980s Apple computers. However, Jobs' leadership at the Macintosh project did not last; after an internal power struggle with new CEO John Sculley, Jobs resigned from Apple in 1985. He went on to found NeXT, another computer company targeting the education market, and did not return until 1997, when Apple acquired NeXT.
Why did Raskin leave the Apple team in 1981?
ANS: over a personality conflict with Jobs
Lafayette Park is a revitalized neighborhood on the city's east side, part of the Ludwig Mies van der Rohe residential district. The 78-acre (32 ha) development was originally called the Gratiot Park. Planned by Mies van der Rohe, Ludwig Hilberseimer and Alfred Caldwell it includes a landscaped, 19-acre (7.7 ha) park with no through traffic, in which these and other low-rise apartment buildings are situated. Immigrants have contributed to the city's neighborhood revitalization, especially in southwest Detroit. Southwest Detroit has experienced a thriving economy in recent years, as evidenced by new housing, increased business openings and the recently opened Mexicantown International Welcome Center.
If it is possible to answer this question, answer it for me (else, reply "unanswerable"): What district is Lafayette Park a part of?
Ah, so.. Ludwig Mies van der Rohe residential district
Question: The broad field of animal communication encompasses most of the issues in ethology. Animal communication can be defined as any behavior of one animal that affects the current or future behavior of another animal. The study of animal communication, called zoo semiotics (distinguishable from anthroposemiotics, the study of human communication) has played an important part in the development of ethology, sociobiology, and the study of animal cognition. Animal communication, and indeed the understanding of the animal world in general, is a rapidly growing field, and even in the 21st century so far, a great share of prior understanding related to diverse fields such as personal symbolic name use, animal emotions, animal culture and learning, and even sexual conduct, long thought to be well understood, has been revolutionized. A special field of animal communication has been investigated in more detail such as vibrational communication.
Try to answer this question if possible: Anthroposemiotics is the study of animal what?
Answer: unanswerable
<|start-PI|>Question: At war's end, American, British, and Soviet scientific intelligence teams competed to capture Germany's rocket engineers along with the German rockets themselves and the designs on which they were based. Each of the Allies captured a share of the available members of the German rocket team, but the United States benefited the most with<|end-PI|> <|retrieval|><|start-KFI|>Operation Paperclip, recruiting von Braun and most of his engineering team, who later helped develop the American missile and space exploration programs. The United States also acquired a large number of complete V2 rockets.<|end-KFI|>
Try to answer this question if possible: What military operation allowed the US to recruit the German engineer, Von Braun?
Answer:
##ASSISTANT_RESPONSE:
Operation Paperclip
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nInput: Read this: Kathmandu has a larger proportion of tea drinkers than coffee drinkers. Tea is widely served but is extremely weak by western standards. It is richer and contains tea leaves boiled with milk, sugar and spices. Alcohol is widely drunk, and there are numerous local variants of alcoholic beverages. Drinking and driving is illegal, and authorities have a zero tolerance policy. Ailaa and thwon (alcohol made from rice) are the alcoholic beverages of Kathmandu, found in all the local bhattis (alcohol serving eateries). Chhyaang, tongba (fermented millet or barley) and rakshi are alcoholic beverages from other parts of Nepal which are found in Kathmandu. However, shops and bars in Kathmandu widely sell western and Nepali beers.\nQuestion: What goes through a fermentation process to create tongba?\n\nOutput: millet or barley\n\nQUES: Lateral-cut disc records were developed in the United States by Emile Berliner, who named his system the \"gramophone\", distinguishing it from Edison's wax cylinder \"phonograph\" and Columbia's wax cylinder \"graphophone\". Berliner's earliest discs, first marketed in 1889, but only in Europe, were 5 inches (13 cm) in diameter, and were played with a small hand-propelled machine. Both the records and the machine were adequate only for use as a toy or curiosity, due to the limited sound quality. In the United States in 1894, under the Berliner Gramophone trademark, Berliner started marketing records with somewhat more substantial entertainment value, along with somewhat more substantial gramophones to play them. Berliner's records had poor sound quality compared to wax cylinders, but his manufacturing associate Eldridge R. Johnson eventually improved the sound quality. Abandoning Berliner's \"Gramophone\" trademark for legal reasons, in 1901 Johnson's and Berliner's separate companies reorganized to form the Victor Talking Machine Company, whose products would come to dominate the market for many years. Emile Berliner moved his company to Montreal in 1900. The factory which became RCA Victor stills exists. There is a dedicated museum in Montreal for Berliner.\nWhat is the name of lateral cut disc records?\nWhat is the answer?\nANS: gramophone\n\nQUES: Burrel's innovative design, which combined the low production cost of an Apple II with the computing power of Lisa's CPU, the Motorola 68K, received the attention of Steve Jobs, co-founder of Apple. Realizing that the Macintosh was more marketable than the Lisa, he began to focus his attention on the project. Raskin left the team in 1981 over a personality conflict with Jobs. Team member Andy Hertzfeld said that the final Macintosh design is closer to Jobs' ideas than Raskin's. After hearing of the pioneering GUI technology being developed at Xerox PARC, Jobs had negotiated a visit to see the Xerox Alto computer and its Smalltalk development tools in exchange for Apple stock options. The Lisa and Macintosh user interfaces were influenced by technology seen at Xerox PARC and were combined with the Macintosh group's own ideas. Jobs also commissioned industrial designer Hartmut Esslinger to work on the Macintosh line, resulting in the \"Snow White\" design language; although it came too late for the earliest Macs, it was implemented in most other mid- to late-1980s Apple computers. However, Jobs' leadership at the Macintosh project did not last; after an internal power struggle with new CEO John Sculley, Jobs resigned from Apple in 1985. He went on to found NeXT, another computer company targeting the education market, and did not return until 1997, when Apple acquired NeXT.\nWhy did Raskin leave the Apple team in 1981?\n\nANS: over a personality conflict with Jobs\n\nLafayette Park is a revitalized neighborhood on the city's east side, part of the Ludwig Mies van der Rohe residential district. The 78-acre (32 ha) development was originally called the Gratiot Park. Planned by Mies van der Rohe, Ludwig Hilberseimer and Alfred Caldwell it includes a landscaped, 19-acre (7.7 ha) park with no through traffic, in which these and other low-rise apartment buildings are situated. Immigrants have contributed to the city's neighborhood revitalization, especially in southwest Detroit. Southwest Detroit has experienced a thriving economy in recent years, as evidenced by new housing, increased business openings and the recently opened Mexicantown International Welcome Center.\nIf it is possible to answer this question, answer it for me (else, reply \"unanswerable\"): What district is Lafayette Park a part of?\nAh, so.. Ludwig Mies van der Rohe residential district\n\nQuestion: The broad field of animal communication encompasses most of the issues in ethology. Animal communication can be defined as any behavior of one animal that affects the current or future behavior of another animal. The study of animal communication, called zoo semiotics (distinguishable from anthroposemiotics, the study of human communication) has played an important part in the development of ethology, sociobiology, and the study of animal cognition. Animal communication, and indeed the understanding of the animal world in general, is a rapidly growing field, and even in the 21st century so far, a great share of prior understanding related to diverse fields such as personal symbolic name use, animal emotions, animal culture and learning, and even sexual conduct, long thought to be well understood, has been revolutionized. A special field of animal communication has been investigated in more detail such as vibrational communication.\nTry to answer this question if possible: Anthroposemiotics is the study of animal what?\nAnswer: unanswerable\n\n<|start-PI|>Question: At war's end, American, British, and Soviet scientific intelligence teams competed to capture Germany's rocket engineers along with the German rockets themselves and the designs on which they were based. Each of the Allies captured a share of the available members of the German rocket team, but the United States benefited the most with<|end-PI|> <|retrieval|>Operation Paperclip was a secret United States intelligence program that recruited former Nazi scientists and engineers, including Wernher von Braun, after World War II. The operation was conducted by the Office of Strategic Services (OSS), the precursor to the Central Intelligence Agency (CIA). The primary goal of Operation Paperclip was to exploit German scientific expertise for the benefit of the United States, particularly in the fields of rocketry and aerospace engineering. The operation involved the recruitment of over 1,600 German scientists and engineers, many of whom had been involved in Nazi war crimes. The program was initially kept secret from the public and the U.S. Congress, and it has been the subject of controversy due to the involvement of former Nazi officials.<|start-KFI|>Operation Paperclip, recruiting von Braun and most of his engineering team, who later helped develop the American missile and space exploration programs. The United States also acquired a large number of complete V2 rockets.<|end-KFI|>\nTry to answer this question if possible: What military operation allowed the US to recruit the German engineer, Von Braun?\nAnswer:\n\n##ASSISTANT_RESPONSE:\nOperation Paperclip"}
| 1,515 | 0 |
flan_v2
|
flan_v2_1420
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
question: Answer this question.
<|start-PI|>Who plays Lee Mack's father in Not Going Out?<|end-PI|>
answer: bobby ball
question: Answer this question.
<|start-PI|>Sinclair Lewis was the first American to win a Nobel Prize for what subject?<|end-PI|>
answer: literature
question: Answer this question.
<|start-PI|>Peruvian Lina Medina, aged 5, made history in 1939 as the youngest person to do what?<|end-PI|>
answer:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>give birth<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nquestion: Answer this question.\n\n<|start-PI|>Who plays Lee Mack's father in Not Going Out?<|end-PI|>\nanswer: bobby ball\nquestion: Answer this question.\n\n<|start-PI|>Sinclair Lewis was the first American to win a Nobel Prize for what subject?<|end-PI|>\nanswer: literature\nquestion: Answer this question.\n\n<|start-PI|>Peruvian Lina Medina, aged 5, made history in 1939 as the youngest person to do what?<|end-PI|>\nanswer:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Lina Medina, a Peruvian girl, holds the record for being the youngest person to give birth. This extraordinary event occurred on May 14, 1939, when Medina was just five years and seven months old. Her case was extensively documented and verified by medical professionals. Medina's pregnancy was discovered when she was brought to a hospital in Lima, Peru, complaining of abdominal pain. The father of the child was never identified, and Medina's case remains a remarkable and unusual medical phenomenon.<|start-KFI|>give birth<|end-KFI|>"}
| 221 | 0 |
flan_v2
|
flan_v2_1424
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
Q: Which African country has Dodoma as its capital?
-----
A: tanzania
Q: In which year was Nelson Mandela released from prison?
-----
A: 1990
<|start-PI|>Q: Italian Jacopo Peri (1561-1633) is regarded as the inventor of?<|end-PI|>
-----
A:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>opera<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nQ: Which African country has Dodoma as its capital?\n-----\nA: tanzania\n\n\nQ: In which year was Nelson Mandela released from prison?\n-----\nA: 1990\n\n\n<|start-PI|>Q: Italian Jacopo Peri (1561-1633) is regarded as the inventor of?<|end-PI|>\n-----\nA:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Jacopo Peri was an Italian composer and singer of the late Renaissance period. He is considered one of the most important figures in the development of opera. Peri's most famous work is \"Dafne,\" which is often credited as the first opera. It was written in 1597 and performed at the court of Florence. Peri's contributions to the genre were significant, as he helped establish the musical and dramatic conventions that would shape opera for centuries to come.<|start-KFI|>opera<|end-KFI|>"}
| 198 | 0 |
flan_v2
|
flan_v2_1446
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
QUESTION: answer this: who wrote the novel that the film death wish was loosely based on??
ANS: Brian Garfield
input: What is the answer to this question? when was the last 50 cent piece made?
output: 2002
In: who sings the song this is why i love you??
Out: MAJOR
Please answer this: who is the mayor of san francisco california?
Ed Lee
Q: Answer this question:
who did puss in boots grow up in the orphanage with??
A: Humpty Alexander Dumpty
Q: Answer this question:
<|start-PI|>who is the oldest player to have appeared in a world cup match??<|end-PI|>
A:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>Essam El-Hadary<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nQUESTION: answer this: who wrote the novel that the film death wish was loosely based on??\n\nANS: Brian Garfield\n\ninput: What is the answer to this question? when was the last 50 cent piece made?\n\noutput: 2002\n\nIn: who sings the song this is why i love you??\n\nOut: MAJOR\n\nPlease answer this: who is the mayor of san francisco california?\n\nEd Lee\n\nQ: Answer this question:\n\nwho did puss in boots grow up in the orphanage with??\n\nA: Humpty Alexander Dumpty\n\nQ: Answer this question:\n\n<|start-PI|>who is the oldest player to have appeared in a world cup match??<|end-PI|>\n\nA:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Essam El-Hadary is an Egyptian professional footballer who holds the record for being the oldest player to participate in a FIFA World Cup match. Born on January 15, 1973, El-Hadary made his World Cup debut at the age of 45 years and 161 days in 2018. He played for Egypt in their group stage match against Saudi Arabia during the 2018 FIFA World Cup in Russia. El-Hadary's remarkable achievement broke the previous record held by Colombian goalkeeper Faryd Mondrag\u00f3n, who played in the 2014 World Cup at the age of 43 years and 3 days. El-Hadary's long and successful career spanned over two decades, earning him numerous accolades and recognition in the football world.<|start-KFI|>Essam El-Hadary<|end-KFI|>"}
| 353 | 0 |
flan_v2
|
flan_v2_1480
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
Input question: In the military world what is an A.F.V.
Output answer: armoured fighting vehicle
Input question: "The ""New Model Army"" was formed to fight in which war?"
Output answer: english civil war
Input question: Name the chemical separation process in which electricity passes through a conducting substance between two electrodes?
Output answer: electrolysis
<|start-PI|>Input question: Who directed the 1988 film 'Beetle Juice'?<|end-PI|>
Output answer:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>tim burton<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nInput question: In the military world what is an A.F.V.\n\nOutput answer: armoured fighting vehicle\n\nInput question: \"The \"\"New Model Army\"\" was formed to fight in which war?\"\n\nOutput answer: english civil war\n\nInput question: Name the chemical separation process in which electricity passes through a conducting substance between two electrodes?\n\nOutput answer: electrolysis\n\n<|start-PI|>Input question: Who directed the 1988 film 'Beetle Juice'?\n<|end-PI|>\n##ASSISTANT_RESPONSE:\n<|retrieval|>Tim Burton is a renowned American filmmaker known for his dark, quirky, and often supernatural style. He has directed numerous iconic films across various genres. In 1988, Burton directed the cult classic 'Beetle Juice', a supernatural comedy starring Michael Keaton, Winona Ryder, and Alec Baldwin. The film follows a recently deceased couple who hire the bizarre and mischievous bio-exorcist Beetle Juice to scare off the new inhabitants of their home. 'Beetle Juice' became a commercial success and received critical acclaim for its unique blend of humor and visual effects. It has since become one of Burton's most beloved and enduring films.<|start-KFI|>tim burton<|end-KFI|>"}
| 261 | 0 |
flan_v2
|
flan_v2_1511
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
question: What is the answer: What highly toxic substance was used in the manufacture of the popular Victorian colouring material Scheele's Green?
answer: arsenic
question: What is the answer: Which famous group, that have had several instrumental hits in their own name, were Wilson Pickett's backing group in the 1960s?
answer: booker t and mgs
question: What is the answer: French world cup winning footballer Zinedane Zidane is the son of an immigrant from which country?
answer: algeria
<|start-PI|>question: What is the answer: Which University of Wisconsin has the highest enrolment figure?<|end-PI|>
answer:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>madison<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nquestion: What is the answer: What highly toxic substance was used in the manufacture of the popular Victorian colouring material Scheele's Green?\nanswer: arsenic\n\nquestion: What is the answer: Which famous group, that have had several instrumental hits in their own name, were Wilson Pickett's backing group in the 1960s?\nanswer: booker t and mgs\n\nquestion: What is the answer: French world cup winning footballer Zinedane Zidane is the son of an immigrant from which country?\nanswer: algeria\n\n<|start-PI|>question: What is the answer: Which University of Wisconsin has the highest enrolment figure?<|end-PI|>\nanswer:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>The University of Wisconsin-Madison is the largest institution in the University of Wisconsin System. It has a long history of academic excellence and is known for its strong programs in engineering, business, and agriculture. The university has a diverse student body and offers a wide range of undergraduate and graduate degree programs. With a total enrollment of over 45,000 students, it is the largest university in the state of Wisconsin.<|start-KFI|>madison<|end-KFI|>"}
| 252 | 0 |
flan_v2
|
flan_v2_1517
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
QUESTION: answer this: largest privately owned island in the united states??
ANS: Gardiner's Island
input: What is the answer to this question? when does the new ep of riverdale come out?
output: January 17, 2018
In: what is the highest temperature ever recorded in uk??
Out: 101.3 F
Please answer this: where was the movie devil's pass filmed?
northern Russia
Q: Answer this question:
when did ea sports stop making ncaa football??
A: September 2013
<|start-PI|>Q: when was the book to kill a mockingbird published?A:<|end-PI|>
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>on July 11, 1960<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nQUESTION: answer this: largest privately owned island in the united states??\n\nANS: Gardiner's Island\n\ninput: What is the answer to this question? when does the new ep of riverdale come out?\n\noutput: January 17, 2018\n\nIn: what is the highest temperature ever recorded in uk??\n\nOut: 101.3 F\n\nPlease answer this: where was the movie devil's pass filmed?\n\nnorthern Russia\n\nQ: Answer this question:\n\nwhen did ea sports stop making ncaa football??\n\nA: September 2013\n\n<|start-PI|>Q: when was the book to kill a mockingbird published?A:<|end-PI|>\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>To Kill a Mockingbird, a classic novel by Harper Lee, was published on July 11, 1960. This Pulitzer Prize-winning book has become a staple of American literature, exploring themes of racial injustice, childhood innocence, and the loss of innocence in a small Alabama town during the 1930s. The novel has been widely acclaimed for its thought-provoking and well-crafted storytelling, and its publication date marks a significant moment in literary history.<|start-KFI|>on July 11, 1960<|end-KFI|>"}
| 275 | 0 |
flan_v2
|
flan_v2_1523
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
Problem: After the death of Henry VIII, Catherine Parr married Thomas, the brother of which of Henry's other wives?
======
A: jane seymour
Q: What is the largest Caribbean Island?
A: cuba
Problem: 'Grace and Favour' was the follow-up to which BBCTV sitcom?
Answer: are you being served
Q: What multi-venue rock music concert, held on 13 July 1985, was organized by Bob Geldof and Midge Ure to raise funds for famine relief in Ethiopia?
-----
A: live aid
Q: The Daily Slate,The Daily Slab and the Daily Granite are newspapers featured in which TV cartoon series?
What is the answer?
A: flintstones
<|start-PI|>Problem: Edward VI, who ruled from 1547-1553 was the son of Henry VIII by which wife?<|end-PI|>
Answer:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>jane seymour<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nProblem: After the death of Henry VIII, Catherine Parr married Thomas, the brother of which of Henry's other wives?\n======\nA: jane seymour\n\n\nQ: What is the largest Caribbean Island?\nA: cuba\n\n\nProblem: 'Grace and Favour' was the follow-up to which BBCTV sitcom?\nAnswer: are you being served\n\n\nQ: What multi-venue rock music concert, held on 13 July 1985, was organized by Bob Geldof and Midge Ure to raise funds for famine relief in Ethiopia?\n-----\nA: live aid\n\n\nQ: The Daily Slate,The Daily Slab and the Daily Granite are newspapers featured in which TV cartoon series?\nWhat is the answer?\n\nA: flintstones\n\n\n<|start-PI|>Problem: Edward VI, who ruled from 1547-1553 was the son of Henry VIII by which wife?<|end-PI|>\nAnswer:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Edward VI was the son of Henry VIII and his third wife, Jane Seymour. Jane Seymour was a lady-in-waiting to Henry's second wife, Anne Boleyn, before catching the king's eye. She gave birth to Edward VI in 1537, but unfortunately died soon after. Henry VIII was deeply affected by her death and considered her his true wife. Edward VI went on to become King of England and Ireland at a young age, following Henry VIII's death in 1547.<|start-KFI|>jane seymour<|end-KFI|>"}
| 331 | 0 |
flan_v2
|
flan_v2_1525
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
Problem: Sacred Heart Major Seminary, originally founded in 1919, is affiliated with Pontifical University of Saint Thomas Aquinas, Angelicum in Rome and offers pontifical degrees as well as civil undergraduate and graduate degrees. Sacred Heart Major Seminary offers a variety of academic programs for both clerical and lay students. Other institutions in the city include the College for Creative Studies, Lewis College of Business, Marygrove College and Wayne County Community College. In June 2009, the Michigan State University College of Osteopathic Medicine which is based in East Lansing opened a satellite campus located at the Detroit Medical Center. The University of Michigan was established in 1817 in Detroit and later moved to Ann Arbor in 1837. In 1959, University of Michigan–Dearborn was established in neighboring Dearborn.
When did the University of Michigan leave Detroit?
---
Answer:
##ASSISTANT_RESPONSE:
<|start-PI|>When did the University of Michigan leave Detroit?<|end-PI|>
<|retrieval|><|start-KFI|>1837<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nProblem: Sacred Heart Major Seminary, originally founded in 1919, is affiliated with Pontifical University of Saint Thomas Aquinas, Angelicum in Rome and offers pontifical degrees as well as civil undergraduate and graduate degrees. Sacred Heart Major Seminary offers a variety of academic programs for both clerical and lay students. Other institutions in the city include the College for Creative Studies, Lewis College of Business, Marygrove College and Wayne County Community College. In June 2009, the Michigan State University College of Osteopathic Medicine which is based in East Lansing opened a satellite campus located at the Detroit Medical Center. The University of Michigan was established in 1817 in Detroit and later moved to Ann Arbor in 1837. In 1959, University of Michigan\u2013Dearborn was established in neighboring Dearborn.\nWhen did the University of Michigan leave Detroit?\n---\nAnswer:\n\n##ASSISTANT_RESPONSE:\n<|start-PI|>When did the University of Michigan leave Detroit?<|end-PI|>\n<|retrieval|>The University of Michigan was initially founded in Detroit in 1817. However, it didn't stay in the city for long. In 1837, the university relocated to Ann Arbor, Michigan. This move was likely due to the desire for a more rural setting and the availability of land for expansion. The university has since grown and thrived in Ann Arbor, becoming one of the top public universities in the United States. Despite leaving Detroit, the university has maintained a presence in the city through various programs and satellite campuses.<|start-KFI|>1837<|end-KFI|>"}
| 328 | 0 |
flan_v2
|
flan_v2_1526
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
Problem: What was the name of the first yacht to win the Americas Cup
======
A: america
Q: Which orange star forms the "eye" of Taurus, the Bull?
A: aldebaran
Problem: The design of the Mathematical Bridge at Cambridge University is traditionally credited to which scientist (although he died some 20 years before the bridge was constructed) ?
Answer: sir isaac newton
Q: The Appenines is a mountain range that runs for 870 miles in what country?
-----
A: italy
Q: "Who was the German painter and sculptor who was a founder of the surrealist movement ? Among his works are ""The Elephant Celebes"" and "" Le Grand Amoreux""."
What is the answer?
A: max ernst
<|start-PI|>Q: What became known in the 1800s as 'the gay science'?
What is the answer?<|end-PI|>
A:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>poetry<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nProblem: What was the name of the first yacht to win the Americas Cup\n======\nA: america\n\n\nQ: Which orange star forms the \"eye\" of Taurus, the Bull?\nA: aldebaran\n\n\nProblem: The design of the Mathematical Bridge at Cambridge University is traditionally credited to which scientist (although he died some 20 years before the bridge was constructed) ?\nAnswer: sir isaac newton\n\n\nQ: The Appenines is a mountain range that runs for 870 miles in what country?\n-----\nA: italy\n\n\nQ: \"Who was the German painter and sculptor who was a founder of the surrealist movement ? Among his works are \"\"The Elephant Celebes\"\" and \"\" Le Grand Amoreux\"\".\"\nWhat is the answer?\n\nA: max ernst\n\n\n<|start-PI|>Q: What became known in the 1800s as 'the gay science'?\nWhat is the answer?<|end-PI|>\n\nA:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>The term \"the gay science\" originated in the 19th century and refers to a specific field of study. This phrase was popularized by Friedrich Nietzsche, a German philosopher, in his book \"Die fr\u00f6hliche Wissenschaft\" (\"The Joyful Wisdom\" or \"The Gay Science\" in English). Nietzsche's work, published in 1882, explored various philosophical topics, including the nature of truth, morality, and the human condition. The title \"The Gay Science\" was meant to evoke a sense of joy and liberation in the pursuit of knowledge, rather than the more traditional, serious approach to philosophy. Over time, the phrase has become associated with Nietzsche's philosophical ideas and his critique of traditional morality.<|start-KFI|>poetry<|end-KFI|>"}
| 393 | 0 |
flan_v2
|
flan_v2_1532
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
what leads to folding faulting and volcanic activity???
Answer: mountain building
Question: who holds the record for rushing yards in a season college?
Answer: Barry Sanders
Answer this question: when did the us last have a trade surplus??
in 1975
Q: which country has the largest economy in europe?A: Germany
Input: which section of the charter governs the right to silence?
Output: section 7
input: <|start-PI|>What is the answer to this question? places where crude oil is found in nigeria?<|end-PI|>
output:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>the Niger Delta<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nwhat leads to folding faulting and volcanic activity???\n\nAnswer: mountain building\n\nQuestion: who holds the record for rushing yards in a season college?\n\nAnswer: Barry Sanders\n\nAnswer this question: when did the us last have a trade surplus??\n\nin 1975\n\nQ: which country has the largest economy in europe?A: Germany\n\nInput: which section of the charter governs the right to silence?\n\nOutput: section 7\n\ninput: <|start-PI|>What is the answer to this question? places where crude oil is found in nigeria?<|end-PI|>\n\noutput:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Nigeria is a major oil-producing country in West Africa. The majority of its crude oil reserves are located in the Niger Delta region. This region is situated in the southern part of the country, where the Niger River empties into the Gulf of Guinea. The Niger Delta is a vast network of rivers, creeks, and mangrove swamps that cover an area of approximately 70,000 square kilometers. It is home to numerous oil fields and production facilities operated by various international oil companies. The region's unique geology, with its combination of sedimentary basins and fault lines, has created an ideal environment for oil formation and accumulation. As a result, the Niger Delta has become the hub of Nigeria's oil industry, accounting for the majority of the country's oil production.<|start-KFI|>the Niger Delta<|end-KFI|>"}
| 313 | 0 |
flan_v2
|
flan_v2_1534
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
Problem: Background: David Monroe Shoup (30 December 1904 - 13 January 1983) was a decorated general of the United States Marine Corps who was awarded the Medal of Honor in World War II, became the 22nd Commandant of the Marine Corps, and, after retiring, became one of the most prominent critics of the Vietnam War. Born in Indiana to an impoverished family, Shoup joined the military for financial reasons. Rising through the ranks in the interwar era, he was twice deployed to China during the Chinese Civil War. He served in Iceland at the beginning of U.S. involvement in World War II, and as a staff officer during the Pacific War.
Context: David Monroe Shoup was born on 30 December 1904 in Battle Ground, Indiana. His family lived on a farm in Ash Grove, but moved to Covington to live on a new farm in 1916. At age 12 he was enrolled in Covington High School, a competitive high school with an advanced curriculum. Shoup was an excellent student, maintaining high marks in French, English, physics, and history. Additionally, he was involved in several extracurricular activities, including basketball, and was class president in his senior year. He graduated in 1921. He later affectionately referred to his impoverished upbringing as that of an "Indiana plowboy." Regarded by friends as very sociable, he met Zola De Haven in his freshman year and later said he had been instantly attracted to her. They were both very competitive in academics and athletics, and the two dated throughout high school; they were married in 1931. After high school, Shoup attended DePauw University where he was one of 100 awarded the Edward Rector Scholarship, giving him full tuition. Majoring in mathematics, he joined the Delta Upsilon fraternity and maintained high marks, narrowly failing the selection criteria for Phi Beta Kappa Society. He was on the track and field and rifle teams, and also competed in the wrestling and football teams. He won the Indiana and Kentucky Amateur Athletic Union marathon in 1925. He waited tables, washed dishes and worked in a cement factory to help pay his expenses. Lack of funds compelled him to take a year off after his junior year to teach school, and his expenses were further strained when he contracted a severe case of pneumonia and incurred hospital bills. He opted to enroll in the Reserve Officers Training Corps (ROTC) to offset his living expenses, and later recalled that this was the only reason he joined the military. He graduated from DePauw in 1926. From an early age, Shoup was molded by the progressive ideas of Indiana politicians, sympathizing with rural progressives fighting against the interests of big businesses. He developed an anti-imperialist attitude, and his skepticism about American foreign policy, influenced by his small-town background, made him an outspoken opponent of the unnecessary use of military force. He felt the use of troops for economic or imperialist consideration was wrong, a viewpoint he would carry for his entire career.
Question: When did he join the military?
Answer: after his junior year
Problem: Background: Giuliani was born in an Italian-American enclave in East Flatbush in the New York City borough of Brooklyn, the only child of working-class parents, Harold Angelo Giuliani (1908-1981) and Helen Giuliani (nee D'Avanzo; 1909-2002), both children of Italian immigrants. Giuliani is of Tuscan origins from his father side, as his paternal grandparents (Rodolfo and Evangelina Giuliani) were born in Montecatini, Tuscany, Italy. He was raised a Roman Catholic. Harold Giuliani, a plumber and a bartender, had trouble holding a job, and was convicted of felony assault and robbery, serving time in Sing Sing.
Context: Due to term limits, Giuliani could not run in 2001 for a third term as Mayor. In November 1998, four-term incumbent Democratic U.S. Senator Daniel Patrick Moynihan announced his retirement and Giuliani immediately indicated an interest in running in the 2000 election for the now-open seat. Due to his high profile and visibility Giuliani was supported by the state Republican Party. Giuliani's entrance led Democratic Congressman Charles Rangel and others to recruit then-U.S. First Lady Hillary Clinton to run for Moynihan's seat, hoping she might combat his star power. An early January 1999 poll showed Giuliani trailing Clinton by 10 points. In April 1999, Giuliani formed an exploratory committee in connection with the Senate run. By January 2000, Giuliani had reversed the polls situation, pulling nine points ahead after taking advantage of several campaign stumbles by Clinton. Nevertheless, the Giuliani campaign was showing some structural weaknesses; so closely identified with New York City, he had somewhat limited appeal to normally Republican voters in Upstate New York. The New York Police Department's fatal shooting of Patrick Dorismond in March 2000 inflamed Giuliani's already strained relations with the city's minority communities, and Clinton seized on it as a major campaign issue. By April 2000, reports showed Clinton gaining upstate and generally outworking Giuliani, who stated that his duties as mayor prevented him from campaigning more. Clinton was now 8 to 10 points ahead of Giuliani in the polls. Then followed four tumultuous weeks, in which Giuliani's medical life, romantic life, marital life, and political life all collided at once in a most visible fashion. Giuliani discovered that he had prostate cancer and needed treatment; his extramarital relationship with Judith Nathan became public and the subject of a media frenzy; he announced a separation from his wife Donna Hanover; and, after much indecision, on May 19, 2000 he announced his withdrawal from the Senate race.
Question: <|start-PI|>What was a major topic that was discussed by the candidates during the campaign?<|end-PI|>
Answer:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>The New York Police Department's fatal shooting of Patrick Dorismond<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nProblem: Background: David Monroe Shoup (30 December 1904 - 13 January 1983) was a decorated general of the United States Marine Corps who was awarded the Medal of Honor in World War II, became the 22nd Commandant of the Marine Corps, and, after retiring, became one of the most prominent critics of the Vietnam War. Born in Indiana to an impoverished family, Shoup joined the military for financial reasons. Rising through the ranks in the interwar era, he was twice deployed to China during the Chinese Civil War. He served in Iceland at the beginning of U.S. involvement in World War II, and as a staff officer during the Pacific War.\nContext: David Monroe Shoup was born on 30 December 1904 in Battle Ground, Indiana. His family lived on a farm in Ash Grove, but moved to Covington to live on a new farm in 1916. At age 12 he was enrolled in Covington High School, a competitive high school with an advanced curriculum. Shoup was an excellent student, maintaining high marks in French, English, physics, and history. Additionally, he was involved in several extracurricular activities, including basketball, and was class president in his senior year. He graduated in 1921. He later affectionately referred to his impoverished upbringing as that of an \"Indiana plowboy.\" Regarded by friends as very sociable, he met Zola De Haven in his freshman year and later said he had been instantly attracted to her. They were both very competitive in academics and athletics, and the two dated throughout high school; they were married in 1931. After high school, Shoup attended DePauw University where he was one of 100 awarded the Edward Rector Scholarship, giving him full tuition. Majoring in mathematics, he joined the Delta Upsilon fraternity and maintained high marks, narrowly failing the selection criteria for Phi Beta Kappa Society. He was on the track and field and rifle teams, and also competed in the wrestling and football teams. He won the Indiana and Kentucky Amateur Athletic Union marathon in 1925. He waited tables, washed dishes and worked in a cement factory to help pay his expenses. Lack of funds compelled him to take a year off after his junior year to teach school, and his expenses were further strained when he contracted a severe case of pneumonia and incurred hospital bills. He opted to enroll in the Reserve Officers Training Corps (ROTC) to offset his living expenses, and later recalled that this was the only reason he joined the military. He graduated from DePauw in 1926. From an early age, Shoup was molded by the progressive ideas of Indiana politicians, sympathizing with rural progressives fighting against the interests of big businesses. He developed an anti-imperialist attitude, and his skepticism about American foreign policy, influenced by his small-town background, made him an outspoken opponent of the unnecessary use of military force. He felt the use of troops for economic or imperialist consideration was wrong, a viewpoint he would carry for his entire career.\nQuestion: When did he join the military?\nAnswer: after his junior year\n\nProblem: Background: Giuliani was born in an Italian-American enclave in East Flatbush in the New York City borough of Brooklyn, the only child of working-class parents, Harold Angelo Giuliani (1908-1981) and Helen Giuliani (nee D'Avanzo; 1909-2002), both children of Italian immigrants. Giuliani is of Tuscan origins from his father side, as his paternal grandparents (Rodolfo and Evangelina Giuliani) were born in Montecatini, Tuscany, Italy. He was raised a Roman Catholic. Harold Giuliani, a plumber and a bartender, had trouble holding a job, and was convicted of felony assault and robbery, serving time in Sing Sing.\nContext: Due to term limits, Giuliani could not run in 2001 for a third term as Mayor. In November 1998, four-term incumbent Democratic U.S. Senator Daniel Patrick Moynihan announced his retirement and Giuliani immediately indicated an interest in running in the 2000 election for the now-open seat. Due to his high profile and visibility Giuliani was supported by the state Republican Party. Giuliani's entrance led Democratic Congressman Charles Rangel and others to recruit then-U.S. First Lady Hillary Clinton to run for Moynihan's seat, hoping she might combat his star power. An early January 1999 poll showed Giuliani trailing Clinton by 10 points. In April 1999, Giuliani formed an exploratory committee in connection with the Senate run. By January 2000, Giuliani had reversed the polls situation, pulling nine points ahead after taking advantage of several campaign stumbles by Clinton. Nevertheless, the Giuliani campaign was showing some structural weaknesses; so closely identified with New York City, he had somewhat limited appeal to normally Republican voters in Upstate New York. The New York Police Department's fatal shooting of Patrick Dorismond in March 2000 inflamed Giuliani's already strained relations with the city's minority communities, and Clinton seized on it as a major campaign issue. By April 2000, reports showed Clinton gaining upstate and generally outworking Giuliani, who stated that his duties as mayor prevented him from campaigning more. Clinton was now 8 to 10 points ahead of Giuliani in the polls. Then followed four tumultuous weeks, in which Giuliani's medical life, romantic life, marital life, and political life all collided at once in a most visible fashion. Giuliani discovered that he had prostate cancer and needed treatment; his extramarital relationship with Judith Nathan became public and the subject of a media frenzy; he announced a separation from his wife Donna Hanover; and, after much indecision, on May 19, 2000 he announced his withdrawal from the Senate race.\nQuestion: <|start-PI|>What was a major topic that was discussed by the candidates during the campaign?<|end-PI|>\nAnswer:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>The 2000 New York Senate race between Rudy Giuliani and Hillary Clinton was marked by several key issues, but one of the most significant and contentious topics was the fatal shooting of Patrick Dorismond by the New York Police Department in March 2000. This incident sparked widespread outrage and protests in the city's minority communities, who had long been critical of Giuliani's policing policies. Clinton seized on the issue, using it to attack Giuliani's record on racial relations and law enforcement. Giuliani, who had been struggling to connect with upstate voters, was further damaged by the controversy, which highlighted his perceived weaknesses in appealing to minority voters. The Dorismond shooting became a major flashpoint in the campaign, with both candidates trading barbs over issues of police accountability, racial justice, and community relations.<|start-KFI|>The New York Police Department's fatal shooting of Patrick Dorismond<|end-KFI|>"}
| 1,415 | 0 |
flan_v2
|
flan_v2_1567
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
Problem: What is Australia's national flower?
======
A: golden wattle
Problem: Zarathustra, also called Zoroaster, is a Persian?
======
A: prophet
Problem: The fictional character Don Diego de la Vega is better known by what nickname?
======
A: zorro
<|start-PI|>Problem: What movie featured the Dread Pirate Roberts?<|end-PI|>
======
A:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>princess bride<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nProblem: What is Australia's national flower?\n======\nA: golden wattle\n\n\nProblem: Zarathustra, also called Zoroaster, is a Persian?\n======\nA: prophet\n\n\nProblem: The fictional character Don Diego de la Vega is better known by what nickname?\n======\nA: zorro\n\n\n<|start-PI|>Problem: What movie featured the Dread Pirate Roberts?<|end-PI|>\n======\nA:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>The Dread Pirate Roberts is a fictional character from the 1987 fantasy romance film The Princess Bride. The character is played by Cary Elwes and is a central figure in the story. The Princess Bride, directed by Rob Reiner, has become a cult classic and is widely regarded as one of the greatest films of all time. The movie's blend of adventure, humor, and memorable characters has made it a beloved favorite among audiences.<|start-KFI|>princess bride<|end-KFI|>"}
| 209 | 0 |
flan_v2
|
flan_v2_1582
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
QUESTION: answer this: who has the power to remove a senator from the senate??
ANS: The House of Representatives
input: What is the answer to this question? when did stephen curry become an all star?
output: 2014
In: who invented the system of binomial nomenclature in which species are assigned a two-part name??
Out: Gaspard Bauhin
Please answer this: who won hoh big brother 20 week 8?
Faysal
Q: Answer this question:
which is the largest ethnic group in north america??
A: white Americans
In: <|start-PI|>who does emilio estevez play in the outsiders??<|end-PI|>
Out:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>Two-Bit Matthews<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nQUESTION: answer this: who has the power to remove a senator from the senate??\n\nANS: The House of Representatives\n\ninput: What is the answer to this question? when did stephen curry become an all star?\n\noutput: 2014\n\nIn: who invented the system of binomial nomenclature in which species are assigned a two-part name??\n\nOut: Gaspard Bauhin\n\nPlease answer this: who won hoh big brother 20 week 8?\n\nFaysal\n\nQ: Answer this question:\n\nwhich is the largest ethnic group in north america??\n\nA: white Americans\n\nIn: <|start-PI|>who does emilio estevez play in the outsiders??<|end-PI|>\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Emilio Estevez played the role of Two-Bit Matthews in the 1983 film adaptation of S.E. Hinton's novel \"The Outsiders.\" Two-Bit is a member of the Greasers, a group of teenagers from the wrong side of the tracks in a small Oklahoma town. He is known for his wit, humor, and loyalty to his friends. Estevez's portrayal of Two-Bit added to the film's popularity and helped establish him as a rising star in the 1980s.<|start-KFI|>Two-Bit Matthews<|end-KFI|>"}
| 289 | 0 |
flan_v2
|
flan_v2_1583
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
In: who did rita ora play in fast and furious??
Out: a race caller
In: what type of government system does the usa have??
Out: presidential system
In: who plays the boss in last man standing??
Out: Jonathan Taylor Thomas
<|start-PI|>In: what are the first 3 cards in poker called??<|end-PI|>
Out:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>"the flop"<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nIn: who did rita ora play in fast and furious??\n\nOut: a race caller\n\n\nIn: what type of government system does the usa have??\n\nOut: presidential system\n\n\nIn: who plays the boss in last man standing??\n\nOut: Jonathan Taylor Thomas\n\n\n<|start-PI|>In: what are the first 3 cards in poker called??<|end-PI|>\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>In poker, the first three community cards dealt face-up on the table are collectively known as the flop. This is a crucial part of the game, as it sets the stage for the rest of the hand. The flop is typically followed by a round of betting, and then two more community cards are dealt: the turn and the river. The flop is often the most influential part of the hand, as it gives players their first real opportunity to assess their chances of winning.<|start-KFI|>\"the flop\"<|end-KFI|>"}
| 206 | 0 |
flan_v2
|
flan_v2_1598
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
Problem: At which weight did both Randolph Turpin and Nigel Benn win boxing world titles?
======
A: middleweight
Q: What was the first name of Queen Elizabeth II's mother?
A: elizabeth
Problem: Who was the first monarch in Britain to make a Christmas Day broadcast?
Answer: king george v
Q: Which royal establishment was moved from London to Llantrisant in South Wales in 1968?
-----
A: royal mint
Q: Which name is common to both a type of snake and she dragon of Mount Parnassus that protected the Oracle at Delphi?
What is the answer?
A: python
Mei Li:
<|start-PI|>What is the name of the dragon that guards the treasure in The Hobbit??<|end-PI|>
Shuai Zheng:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>smaug<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nProblem: At which weight did both Randolph Turpin and Nigel Benn win boxing world titles?\n======\nA: middleweight\n\n\nQ: What was the first name of Queen Elizabeth II's mother?\nA: elizabeth\n\n\nProblem: Who was the first monarch in Britain to make a Christmas Day broadcast?\nAnswer: king george v\n\n\nQ: Which royal establishment was moved from London to Llantrisant in South Wales in 1968?\n-----\nA: royal mint\n\n\nQ: Which name is common to both a type of snake and she dragon of Mount Parnassus that protected the Oracle at Delphi?\nWhat is the answer?\n\nA: python\n\n\nMei Li:\n<|start-PI|>What is the name of the dragon that guards the treasure in The Hobbit??<|end-PI|>\nShuai Zheng:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>In J.R.R. Tolkien's classic fantasy novel, The Hobbit, the dragon that guards the treasure is a powerful and fearsome creature named Smaug. Smaug is a fire-breathing dragon who has taken over the Lonely Mountain (Erebor) and hoarded the treasure of the dwarves. He is known for his intelligence, cunning, and ability to speak. Smaug is one of the most iconic and beloved characters in The Hobbit, and his encounter with Bilbo Baggins is a pivotal moment in the story.<|start-KFI|>smaug<|end-KFI|>"}
| 321 | 0 |
flan_v2
|
flan_v2_1601
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
In: when did the green lantern movie come out??
Out: June 17, 2011
In: when does season 3 of degrassi come on netflix??
Out: January 6, 2017
In: who dies in the fellowship of the ring??
Out: Boromir
<|start-PI|>In: who was the first royal to live in buckingham palace??<|end-PI|>
Out:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>Queen Charlotte<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nIn: when did the green lantern movie come out??\n\nOut: June\u00a017,\u00a02011\n\n\nIn: when does season 3 of degrassi come on netflix??\n\nOut: January 6, 2017\n\n\nIn: who dies in the fellowship of the ring??\n\nOut: Boromir\n\n\n<|start-PI|>In: who was the first royal to live in buckingham palace??<|end-PI|>\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Buckingham Palace has a rich history dating back to 1703 when it was originally built as Buckingham House for the Duke of Buckingham. In 1761, King George III acquired the property and began renovations to transform it into a royal palace. The first royal to occupy Buckingham Palace was Queen Charlotte, the wife of King George III. She moved into the palace in 1762, marking the beginning of the palace's long association with the British monarchy. Queen Charlotte played an important role in the early years of the palace, hosting numerous state events and helping to establish it as a symbol of royal power and prestige.<|start-KFI|>Queen Charlotte<|end-KFI|>"}
| 249 | 0 |
flan_v2
|
flan_v2_1612
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
question: What is the answer: What is the basic unit of Braille called?
answer: cell
question: What is the answer: From the fur of which animal is a camel's hair brush made?
answer: squirrel
question: What is the answer: "In which year did The Beatles release the film ""Yellow Submarine""; Alec Rose arrives back in Portsmouth; the last steam passenger train service runs in Britain ."
answer: 1968
<|start-PI|>question: What is the answer: Lesotho is surrounded by which other country?<|end-PI|>
answer:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>south africa<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nquestion: What is the answer: What is the basic unit of Braille called?\nanswer: cell\n\nquestion: What is the answer: From the fur of which animal is a camel's hair brush made?\nanswer: squirrel\n\nquestion: What is the answer: \"In which year did The Beatles release the film \"\"Yellow Submarine\"\"; Alec Rose arrives back in Portsmouth; the last steam passenger train service runs in Britain .\"\nanswer: 1968\n\n<|start-PI|>question: What is the answer: Lesotho is surrounded by which other country?<|end-PI|>\nanswer:\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Lesotho is a small, landlocked country located in Southern Africa. It is completely surrounded by another country, making it an enclave. This unique geographical feature is a result of its history and the way it was formed. The surrounding country is one of the most populous and economically developed nations in Africa. It shares a border of approximately 909 kilometers with Lesotho, and the two countries have a long-standing relationship.<|start-KFI|>south africa<|end-KFI|>"}
| 234 | 0 |
flan_v2
|
flan_v2_1633
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
asian girl sings like a bridge over troubled water???
Answer: Sohyang
Question: how much times have real madrid won the champions league?
Answer: 6
Answer this question: when did the wild card start in football??
1970
Q: when did the us join the allied powers?A: December 1941
Input: where was the first high-level language operating system created?
Output: at IBM
<|start-PI|>Answer this question: who wrote you're a mean one mr grinch??<|end-PI|>
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>Albert Hague<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nasian girl sings like a bridge over troubled water???\n\nAnswer: Sohyang\n\nQuestion: how much times have real madrid won the champions league?\n\nAnswer: 6\n\nAnswer this question: when did the wild card start in football??\n\n1970\n\nQ: when did the us join the allied powers?A: December 1941\n\nInput: where was the first high-level language operating system created?\n\nOutput: at IBM\n\n<|start-PI|>Answer this question: who wrote you're a mean one mr grinch??<|end-PI|>\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>\"You're a Mean One, Mr. Grinch\" is a popular Christmas song written by Theodor \"Dr. Seuss\" Geisel and composed by Albert Hague. The song was originally featured in the 1966 animated television special \"How the Grinch Stole Christmas!\" and has since become a holiday classic. Albert Hague was an American composer, best known for his work on this song and the music for the animated special. Dr. Seuss, a renowned children's author and poet, wrote the lyrics to the song, which have become iconic in American popular culture. The song's catchy melody and memorable lyrics have made it a staple of holiday playlists and a beloved part of many families' Christmas traditions.<|start-KFI|>Albert Hague<|end-KFI|>"}
| 289 | 0 |
flan_v2
|
flan_v2_1657
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
QUESTION: answer this: when did the army switch to the m4??
ANS: 1994
input: What is the answer to this question? when did sex and the city start and finish?
output: 1998 until 2004
In: when did the kushan empire begin and end??
Out: 30–375
Please answer this: where will the super rugby final be played?
Christchurch
Q: Answer this question:
where is lake windermere on the uk map??
A: within the county of Cumbria
<|start-PI|>QUESTION: answer this: who did america fight for in the vietnam war??<|end-PI|>
ANS:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>South Vietnam<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nQUESTION: answer this: when did the army switch to the m4??\n\nANS: 1994\n\ninput: What is the answer to this question? when did sex and the city start and finish?\n\noutput: 1998 until 2004\n\nIn: when did the kushan empire begin and end??\n\nOut: 30\u2013375\n\nPlease answer this: where will the super rugby final be played?\n\nChristchurch\n\nQ: Answer this question:\n\nwhere is lake windermere on the uk map??\n\nA: within the county of Cumbria\n\n<|start-PI|>QUESTION: answer this: who did america fight for in the vietnam war??<|end-PI|>\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>The Vietnam War was a complex and multifaceted conflict that involved various countries and factions. The United States of America played a significant role in the war, and its primary ally in the conflict was South Vietnam. The U.S. military involvement in Vietnam began in the early 1960s and escalated throughout the decade. The primary goal of the U.S. military presence was to support the government of South Vietnam against the communist forces of North Vietnam and the Viet Cong, a communist guerrilla organization operating in South Vietnam. The U.S. military involvement in Vietnam lasted for over a decade, from 1955 to 1975, with the majority of its troops withdrawn by 1973.<|start-KFI|>South Vietnam<|end-KFI|>"}
| 319 | 0 |
flan_v2
|
flan_v2_1672
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
QUESTION: answer this: who had the longest career in the nba??
ANS: Robert Parish
input: What is the answer to this question? when did the federal reserve start raising interest rates?
output: July 13, 1990
In: what channel is sky sports action on virgin??
Out: 517: Sky Sports Action
Please answer this: who did the music for disney's robin hood?
George Bruns
Q: Answer this question:
where's the texas chainsaw massacre house located??
A: Kingsland, Texas
<|start-PI|>Q: who provided the labour to build the railroads in canada?A:<|end-PI|>
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>European immigrants<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nQUESTION: answer this: who had the longest career in the nba??\n\nANS: Robert Parish\n\ninput: What is the answer to this question? when did the federal reserve start raising interest rates?\n\noutput: July 13, 1990\n\nIn: what channel is sky sports action on virgin??\n\nOut: 517: Sky Sports Action\n\nPlease answer this: who did the music for disney's robin hood?\n\nGeorge Bruns\n\nQ: Answer this question:\n\nwhere's the texas chainsaw massacre house located??\n\nA: Kingsland, Texas\n\n<|start-PI|>Q: who provided the labour to build the railroads in canada?A:<|end-PI|>\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>The construction of railroads in Canada was a massive undertaking that required a large workforce. During the late 19th and early 20th centuries, European immigrants played a crucial role in building these railroads. Many of these immigrants came from countries such as Ireland, Scotland, and England, attracted by the promise of work and a better life in Canada. They faced harsh conditions, including extreme weather, remote locations, and difficult working conditions. Despite these challenges, they persevered and contributed significantly to the development of Canada's rail network. Their labor was instrumental in connecting the country from coast to coast and facilitating the growth of trade and commerce.<|start-KFI|>European immigrants<|end-KFI|>"}
| 304 | 0 |
flan_v2
|
flan_v2_1674
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
QUESTION: Trivia question: During which battle of 1876 did the Sioux Indians massacre George Custer's Seventh Cavalry Regiment?
****
ANS: battle of little big horn
Mei Li:
Where in England could you cross the Mathematical Bridge??
Shuai Zheng:
cambridge
Input question: Which Greek hero was the son of the nymph Thetis, and Peleus, the king of the Myrmidons?
Output answer: achilles
question: Answer this question.
In the board game Risk, what colour is Europe?
answer: blue
question: What is the answer: What structure, designed by John Paxton for Prince Albert, was destroyed by fire on the 30th November 1936?
answer: crystal palace
<|start-PI|>Q: In which Canadian city are the Blue Jays baseball team based?
-----
A:<|end-PI|>
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>toronto<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nQUESTION: Trivia question: During which battle of 1876 did the Sioux Indians massacre George Custer's Seventh Cavalry Regiment?\n****\nANS: battle of little big horn\n\n\nMei Li:\nWhere in England could you cross the Mathematical Bridge??\nShuai Zheng:\ncambridge\n\n\nInput question: Which Greek hero was the son of the nymph Thetis, and Peleus, the king of the Myrmidons?\n\nOutput answer: achilles\n\n\nquestion: Answer this question.\n\nIn the board game Risk, what colour is Europe?\nanswer: blue\n\n\nquestion: What is the answer: What structure, designed by John Paxton for Prince Albert, was destroyed by fire on the 30th November 1936?\nanswer: crystal palace\n\n\n<|start-PI|>Q: In which Canadian city are the Blue Jays baseball team based?\n-----\nA:<|end-PI|>\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>The Toronto Blue Jays are a professional baseball team based in Toronto, Ontario, Canada. They are a member of the American League East division in Major League Baseball (MLB). The team was founded in 1977 and plays their home games at Rogers Centre, previously known as SkyDome. The Blue Jays have won two World Series championships, in 1992 and 1993. They are one of two MLB teams based in Canada, the other being the Montreal Expos, which relocated to Washington, D.C. in 2005. Toronto is the largest city in Canada and the financial hub of the country, making it an ideal location for a professional sports team like the Blue Jays.<|start-KFI|>toronto<|end-KFI|>"}
| 363 | 0 |
flan_v2
|
flan_v2_1680
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
Problem: What is Ireland's longest river?
======
A: shannon
Q: "What real-life person was the subject of the movie ""The Theory of Everything""?"
A: stephen hawking
Problem: A heptad is a group or set of how many?
Answer: seven
Q: Which famous comedy double-act partner made the first ever UK mobile phone call, New Year's Day, 1985?
-----
A: ernie wise
Q: A substance that attracts water molecules from the environment through either absorption or adsorption is called what?
What is the answer?
A: hygroscopic
<|start-PI|>Q: What is the name of a Japanese dish consisting of noodles and broth?
What is the answer?<|end-PI|>
A:
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>ramen<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nProblem: What is Ireland's longest river?\n======\nA: shannon\n\n\nQ: \"What real-life person was the subject of the movie \"\"The Theory of Everything\"\"?\"\nA: stephen hawking\n\n\nProblem: A heptad is a group or set of how many?\nAnswer: seven\n\n\nQ: Which famous comedy double-act partner made the first ever UK mobile phone call, New Year's Day, 1985?\n-----\nA: ernie wise\n\n\nQ: A substance that attracts water molecules from the environment through either absorption or adsorption is called what?\nWhat is the answer?\n\nA: hygroscopic\n\n\n<|start-PI|>Q: What is the name of a Japanese dish consisting of noodles and broth?\nWhat is the answer?<|end-PI|>\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Ramen is a popular Japanese noodle soup dish that originated in China and was introduced to Japan in the early 20th century. It typically consists of wheat noodles served in a meat or fish-based broth, often flavored with soy sauce or miso. Toppings can vary greatly, but common additions include sliced pork, boiled eggs, green onions, and seaweed. Ramen has become a staple of Japanese cuisine and has gained worldwide popularity, with many regional variations and creative twists on the traditional recipe.<|start-KFI|>ramen<|end-KFI|>"}
| 304 | 0 |
flan_v2
|
flan_v2_1684
|
You are an AI assistant tasked with analyzing a passage, identifying specific components, generating knowledge, and updating the passage. Follow these instructions carefully:
Here is the instruction and assistant response you will be working with:
##INSTRUCTION:
Answer this question: when did kai kai and jia jia come to singapore??
September 2012
Answer this question: when did the stock market crash in 1987??
October 19, 1987
Answer this question: when did world of war craft come out??
November 23, 2004
<|start-PI|>Answer this question: what is the latest version of apple tv??<|end-PI|>
##ASSISTANT_RESPONSE:
<|retrieval|><|start-KFI|>Apple TV 4K<|end-KFI|>
Your task involves the following main steps:
1. Treat the instruction and assistant_response as a continuous passage
2. Identify Prefix Intents and Key Factual Information
3. Pair each Prefix Intent with its corresponding Key Factual Information
4. Generate Knowledge for each pair
5. Update the full original text with the Generated Knowledge
6. Provide the final output in a specific JSON format
Follow these detailed instructions for each step:
1. Identifying and pairing Prefix Intents and Key Factual Information:
- Prefix Intents are enclosed in <|start-PI|> and <|end-PI|> tags
- Key Factual Information is enclosed in <|start-KFI|> and <|end-KFI|> tags
- To pair them, look for the <|retrieval|> token:
* The text surrounded by <|start-PI|> and <|end-PI|> tags immediately before this token is the Prefix Intent
* The text surrounded by <|start-KFI|> and <|end-KFI|> tags immediately after this token is the Key Factual Information
2. Generating Knowledge:
- For each pair, create a set of sentences that, when combined with the Prefix Intent, would produce the Key Factual Information
- Ensure the Generated Knowledge is a real passage, not just a single sentence
- Generated knowledge can only be found inserted in the assistant response
- Make the Generated Knowledge specific, mentioning the appropriate subject from the passage (e.g., use "Valkyria Chronicles III" instead of "the game" or "it")
- Make sure you can generate the key factual information (KFI) from this knowledge
3. Updating the passage:
- Insert the Generated Knowledge after each <|retrieval|> token in the original passage and before <|start-KFI|>
- Ensure no extra spaces are added when inserting the Generated Knowledge
- Preserve all special tokens (<|start-PI|>, <|end-PI|>, <|start-KFI|>, <|end-KFI|>, <|retrieval|>) in the updated passage
4. Provide your final output in this JSON format:
{
"Processed_Text": "[Full original text (instruction + assistant responses) with PI, retrieval, KFI tokens and Generated Knowledge. Do not forget the ##INSTRUCTION and #ASSISTANT_RESPONSE headers"]
}
Important reminders:
- Complete all steps and provide the final output in the specified JSON format
- Only output the JSON file
- Preserve all special tokens in Processed_Text
- Think carefully before doing each task
- Do not output markdown, only a JSON file
|
{"Processed_Text": "##INSTRUCTION:\nAnswer this question: when did kai kai and jia jia come to singapore??\n\nSeptember 2012\n\n\nAnswer this question: when did the stock market crash in 1987??\n\nOctober 19, 1987\n\n\nAnswer this question: when did world of war craft come out??\n\nNovember 23, 2004\n\n\n<|start-PI|>Answer this question: what is the latest version of apple tv??<|end-PI|>\n\n##ASSISTANT_RESPONSE:\n<|retrieval|>Apple TV 4K is the latest version of Apple's digital media player and microconsole. It was first released in 2021 and has since undergone several updates. This version of Apple TV features improved hardware, including a faster A15 Bionic chip and support for 4K resolution at up to 60 frames per second. It also includes advanced features like Dolby Vision and HDR10+, providing enhanced video quality. The Apple TV 4K is compatible with a wide range of streaming services and offers access to exclusive Apple Original content through Apple TV+.<|start-KFI|>Apple TV 4K<|end-KFI|>"}
| 239 | 0 |
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