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string | embedding
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<urn:uuid:ab0a5c2f-e34c-4781-8bf8-6a3d1fd82649> | A local art historian and museum professional interested in 19th-century American art and the local cultural heritage of Cincinnati. | Alibaba-NLP/gte-large-en-v1.5 | [
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4.902285575866699,
1.8720051050186157
] | 1 | ["Education", "Academia", "Specialized Expertise"] | [
"What is the primary difference in style between American and European Impressionist paintings of the late 19th century?",
"How do the American art exhibitions at the Cincinnati Art Museum set the tone for the city's cultural scene during the 19th century?",
"Detail the historical context behind the artwork of Asher B. Durand, a prominent American landscape painter.",
"What artistic movements or styles emerged in the United States during the early years of the 20th century, building upon the foundations laid by 19th-century American artists?",
"Compare and contrast the narrative styles of Fitz Henry Lane's landscape paintings with those of his contemporary, Daniel.symbol style of"
] | {
"raw_input_self_instruct_0": [
{
"content": "# Task Description\nDevelop 5 user queries that can be received by the given AI application and applicable to the provided context. Emphasize diversity in verbs and linguistic structures within the model's textual capabilities.\n\n# Criteria for Queries\nIncorporate a diverse range of verbs, avoiding repetition.\nEnsure queries are compatible with AI model's text generation functions and are limited to 1-2 sentences.\nDesign queries to be self-contained and standalone.\nBlend interrogative (e.g., \"What is the significance of x?\") and imperative (e.g., \"Detail the process of x.\") styles.\nWrite each query on a separate line and avoid using numbered lists or bullet points.\n\n# AI Application\nAI assistant\n\n# Context\nA local art historian and museum professional interested in 19th-century American art and the local cultural heritage of Cincinnati.\n\n# Output\n",
"role": "user"
}
],
"raw_input_text_generation_0": null,
"raw_output_self_instruct_0": "What is the primary difference in style between American and European Impressionist paintings of the late 19th century?\n\nHow do the American art exhibitions at the Cincinnati Art Museum set the tone for the city's cultural scene during the 19th century?\n\nDetail the historical context behind the artwork of Asher B. Durand, a prominent American landscape painter.\n\nWhat artistic movements or styles emerged in the United States during the early years of the 20th century, building upon the foundations laid by 19th-century American artists?\n\nCompare and contrast the narrative styles of Fitz Henry Lane's landscape paintings with those of his contemporary, Daniel.symbol style of",
"raw_output_text_generation_0": null,
"statistics_self_instruct_0": {
"input_tokens": 205,
"output_tokens": 128
}
} | null | null |
Dataset Card for uplimit-synthetic-data-week-1-with-seed
This dataset has been created with distilabel.
The pipeline script was uploaded to easily reproduce the dataset: colab_kernel_launcher.py.
It can be run directly using the CLI:
distilabel pipeline run --script "https://huggingface.co/datasets/jsimon-pfpt/uplimit-synthetic-data-week-1-with-seed/raw/main/colab_kernel_launcher.py"
Dataset Summary
This dataset contains a pipeline.yaml
which can be used to reproduce the pipeline that generated it in distilabel using the distilabel
CLI:
distilabel pipeline run --config "https://huggingface.co/datasets/jsimon-pfpt/uplimit-synthetic-data-week-1-with-seed/raw/main/pipeline.yaml"
or explore the configuration:
distilabel pipeline info --config "https://huggingface.co/datasets/jsimon-pfpt/uplimit-synthetic-data-week-1-with-seed/raw/main/pipeline.yaml"
Dataset structure
The examples have the following structure per configuration:
Configuration: default
{
"cluster_label": 1,
"distilabel_metadata": {
"raw_input_self_instruct_0": [
{
"content": "# Task Description\nDevelop 5 user queries that can be received by the given AI application and applicable to the provided context. Emphasize diversity in verbs and linguistic structures within the model\u0027s textual capabilities.\n\n# Criteria for Queries\nIncorporate a diverse range of verbs, avoiding repetition.\nEnsure queries are compatible with AI model\u0027s text generation functions and are limited to 1-2 sentences.\nDesign queries to be self-contained and standalone.\nBlend interrogative (e.g., \"What is the significance of x?\") and imperative (e.g., \"Detail the process of x.\") styles.\nWrite each query on a separate line and avoid using numbered lists or bullet points.\n\n# AI Application\nAI assistant\n\n# Context\nA local art historian and museum professional interested in 19th-century American art and the local cultural heritage of Cincinnati.\n\n# Output\n",
"role": "user"
}
],
"raw_input_text_generation_0": null,
"raw_output_self_instruct_0": "What is the primary difference in style between American and European Impressionist paintings of the late 19th century?\n\nHow do the American art exhibitions at the Cincinnati Art Museum set the tone for the city\u0027s cultural scene during the 19th century?\n\nDetail the historical context behind the artwork of Asher B. Durand, a prominent American landscape painter.\n\nWhat artistic movements or styles emerged in the United States during the early years of the 20th century, building upon the foundations laid by 19th-century American artists?\n\nCompare and contrast the narrative styles of Fitz Henry Lane\u0027s landscape paintings with those of his contemporary, Daniel.symbol style of",
"raw_output_text_generation_0": null,
"statistics_self_instruct_0": {
"input_tokens": 205,
"output_tokens": 128
}
},
"embedding": [
0.022470641881227493,
-0.017901265993714333,
-0.011149224825203419,
-0.009838403202593327,
0.06471165269613266,
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0.010446570813655853,
0.027933161705732346,
-0.003492367221042514,
"... (truncated - showing 10 of 1024 elements)"
],
"generation": null,
"id": "\u003curn:uuid:ab0a5c2f-e34c-4781-8bf8-6a3d1fd82649\u003e",
"instructions": [
"What is the primary difference in style between American and European Impressionist paintings of the late 19th century?",
"How do the American art exhibitions at the Cincinnati Art Museum set the tone for the city\u0027s cultural scene during the 19th century?",
"Detail the historical context behind the artwork of Asher B. Durand, a prominent American landscape painter.",
"What artistic movements or styles emerged in the United States during the early years of the 20th century, building upon the foundations laid by 19th-century American artists?",
"Compare and contrast the narrative styles of Fitz Henry Lane\u0027s landscape paintings with those of his contemporary, Daniel.symbol style of"
],
"model_name": null,
"model_name_embeddings": "Alibaba-NLP/gte-large-en-v1.5",
"nn_indices": [
15125,
37073,
71970,
26917,
4480,
69453,
71903,
9411,
39149,
59512,
"... (truncated - showing 10 of 20 elements)"
],
"nn_scores": [
0.8340727686882019,
0.8202860355377197,
0.8056823015213013,
0.8035473227500916,
0.7944107055664062,
0.7865492105484009,
0.7834657430648804,
0.7777583599090576,
0.7766708135604858,
0.7716180682182312,
"... (truncated - showing 10 of 20 elements)"
],
"persona": "A local art historian and museum professional interested in 19th-century American art and the local cultural heritage of Cincinnati.",
"projection": [
4.902285575866699,
1.8720051050186157
],
"summary_label": "[\"Education\", \"Academia\", \"Specialized Expertise\"]"
}
This subset can be loaded as:
from datasets import load_dataset
ds = load_dataset("jsimon-pfpt/uplimit-synthetic-data-week-1-with-seed", "default")
Or simply as it follows, since there's only one configuration and is named default
:
from datasets import load_dataset
ds = load_dataset("jsimon-pfpt/uplimit-synthetic-data-week-1-with-seed")
References
@misc{wang2023selfinstructaligninglanguagemodels,
title={Self-Instruct: Aligning Language Models with Self-Generated Instructions},
author={Yizhong Wang and Yeganeh Kordi and Swaroop Mishra and Alisa Liu and Noah A. Smith and Daniel Khashabi and Hannaneh Hajishirzi},
year={2023},
eprint={2212.10560},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2212.10560},
}
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