Dataset Viewer
input
sequencelengths 2
272
| transliterated_input
sequencelengths 2
238
| output
sequencelengths 2
272
| instructions
stringclasses 1
value |
---|---|---|---|
[
"இந்",
"நிறுவகம்",
"முகாமையாளர்",
"சபையினால்",
"நிருவகிக்கப்படுகிறது",
"."
] |
[
"in",
"niruvanam",
"mugaamaiyaallar",
"sabaiyinaal",
"niruvagikkapadugiradhu",
"."
] |
[
"O",
"O",
"B-ORG",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"vii",
".",
"நிர்வாகக்",
"குழுக்",
"கூட்டங்கள்",
"வருடாந்த",
"முன்னேற்றம்",
"பற்றிய",
"அறிக்கையில்",
"நிதி",
"முன்னேற்றம்",
"0.733",
"ஆக",
"குறிக்கப்பட்டிருப்பது",
"அச்சுப்பிழையின்",
"காரணமாகவேயாகும்",
"."
] |
[
"vii",
".",
"nirvaaga",
"kuzhu",
"koottangal",
"varudaantha",
"munnerram",
"patriya",
"arikkaiyil",
"nithi",
"munnerram",
"0.733",
"aaga",
"kurikkappattiruppathu",
"achuppizhaiyin",
"kaaranamaagavae yaagum",
"."
] |
[
"O",
"O",
"B-MISC",
"I-MISC",
"I-MISC",
"O",
"O",
"O",
"O",
"O",
"O",
"B-MISC",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"6.3",
".",
"பாராளுமன்றத்",
"தேர்தல்கள்",
"சட்டத்தின்",
"7",
"(",
"4",
")",
"(",
"ஆ",
")",
"பிரிவின்",
"கீழ்",
"ஒவ்வொரு",
"நாட்காட்டி",
"வருடத்தின்",
"ஆரம்பத்திலும்",
"அங்கீகரிக்கபட்ட",
"அரசியற்",
"கட்சிகளின்",
"பெயர்ப்பட்டியலை",
"தேர்தல்கள்",
"ஆணையாளரினால்",
"அரசாங்க",
"வர்த்தமானியில்",
"பிரசுரிப்பதற்குக்",
"கோரப்பட்டது",
"."
] |
[
"6.3",
".",
"paarallumanrath",
"therdhalkal",
"sattaththin",
"7",
"(",
"4",
")",
"(",
"aa",
")",
"pirivin",
"keezh",
"ovvoru",
"naatkaatti",
"varudaththin",
"aarambaththilum",
"anggeegarikkappaṭṭa",
"arasiyar",
"katchigallin",
"peyarppattiyalai",
"therdhalkal",
"aanaiyallarinaal",
"arasaangga",
"varththamaanaththil",
"pirasurippatharkkuk",
"korappattadhu",
"."
] |
[
"O",
"O",
"B-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"இவற்றில்",
"ஒன்று",
"தேசிய",
"பல்கலைக்கழகத்துடன்",
"கூட்டிணைந்து",
"முன்னெடுக்கப்படும்",
"."
] |
[
"ivatril",
"ondru",
"thesiya",
"palkalaikkazhagathudan",
"koottinaindhu",
"munnedukkapadum",
"."
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"இச்",
"சட்ட",
"மூலத்தின்",
"இறுதி",
"வரைவு",
"சட்டவரைஞர்",
"திணைக்களத்திடமிருந்து",
"கிடைக்கப்பெற்றுள்ளது",
"."
] |
[
"ich",
"chatta",
"moolaththin",
"iruthi",
"varaivu",
"sattavaraignar",
"thinaikkallaththidamirundhu",
"kidaikkapettulladhu",
"."
] |
[
"O",
"O",
"O",
"O",
"O",
"B-ORG",
"I-ORG",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"10",
".",
"நீர்ப்பாசன",
"முறைகளின்",
"நிறுவனம்",
"சார்",
"வளர்ச்சி",
"மற்றும்",
"உற்பத்தித்திறன்",
"மேம்பாடு",
"."
] |
[
"10",
".",
"neerppaasana",
"muraigalin",
"niruvanam",
"saar",
"valarchchi",
"matrum",
"urpaththiththiran",
"mempaadu",
"."
] |
[
"B-MISC",
"O",
"B-ORG",
"I-ORG",
"I-ORG",
"B-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"ஆறு",
"(",
"6",
")",
"பதவியணி",
"வகுப்பிணை",
"சார்ந்த",
"ஊழியர்கள்",
"இராஜனாமா",
"செய்தனர்",
"மற்றும்",
"அவர்களுள்",
"ஐந்து",
"பேர்",
"(",
"5",
")",
"ஆராய்ச்சி",
"பொறியியலாளர்கள்",
"ஆவர்",
"."
] |
[
"aaru",
"(",
"6",
")",
"padhaviyani",
"vaguppinai",
"saarndha",
"oozhiyargal",
"raajinaamaa",
"seidharnar",
"matrum",
"avargallul",
"aindhu",
"per",
"(",
"5",
")",
"aaraaichi",
"poriyiyalaalargal",
"aavar",
"."
] |
[
"B-MISC",
"O",
"B-MISC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-MISC",
"O",
"O",
"B-MISC",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"மேலும்",
"தற்போது",
"குறித்த",
"நிலுவைத்",
"தொகைகளில்",
"ஒரு",
"பகுதி",
"கிடைத்துள்ளதுடன்",
",",
"கம்பஹா",
"வைத்தியசாலையிடமிருந்து",
"ரூபா",
".",
"1,611,358.76",
"உம்",
",",
"நீர்கொழும்பு",
"வைத்தியசாலையிடமிருந்து",
"ரூபா",
".",
"802,749",
"உம்",
"கிடைக்க",
"வேண்டியுள்ளது",
"."
] |
[
"maelum",
"tharpozhudhu",
"kuritha",
"niluvaith",
"thogaigalil",
"oru",
"paguthi",
"kidaithulladudan",
",",
"kambahaa",
"vaiththiya saalaiyidamirundhu",
"roobaa",
".",
"1,611,358.76",
"um",
",",
"neerkolumbu",
"vaiththiya saalaiyidamirundhu",
"roobaa",
".",
"802,749",
"um",
"kidaikka",
"vaendiyulladhu",
"."
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-MISC",
"O",
"B-MISC",
"I-MISC",
"I-MISC",
"O",
"O",
"B-MISC",
"O",
"B-MISC",
"I-MISC",
"I-MISC",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"பிராந்திய",
"விண்வெளி",
"பிரயோக",
"நிகழ்ச்சித்திட்டத்திற்கான",
"இலங்கை",
"விண்வெளி",
"தொழில்நுட்ப",
"பிரயோகத்தின்",
"தேசிய",
"மத்திய",
"மையமாக",
"இலங்கையில்",
"நிறுவகம்",
"செயற்பட்டுக்கொண்டிருக்கின்ற",
",",
"அதேவேளையில்",
"நவீன",
"தொழில்நுட்பவியலுக்கான",
"ஆர்த்தர்",
"சி",
".",
"கிளார்க்",
"நிறுவகமே",
"மூலாதாரமாக",
"உள்ளது",
"."
] |
[
"piraanthiya",
"vinveli",
"pirayogha",
"nigazhchithittaththirkaana",
"ilangai",
"vinveli",
"thozhilnutpa",
"pirayogaththin",
"thesiya",
"maththiya",
"maiyamaaga",
"ilangaiyil",
"niruvagam",
"seyalpatukkonduirukkindra",
",",
"athevelaiyil",
"naveena",
"thozhilnutpaviyalukkaana",
"aarththar",
"si",
".",
"kllaark",
"niruvagamay",
"moolaathaaramaaga",
"ulladhu",
"."
] |
[
"O",
"O",
"O",
"O",
"B-LOC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"நிறுவனத்தின்",
"அமைப்பு",
"அகவிதிகள்",
"தயாரிக்கப்படுகின்றன",
"."
] |
[
"niruvanathin",
"amaippu",
"agavithigal",
"thayaarikkapadugindrana",
"."
] |
[
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"குறித்த",
"ஆண்டின்",
"இறுதியில்",
"நிலவிய",
"அதிக",
"மழை",
"காரணமாக",
"40%",
"ஆன",
"அறுவடை",
"முன்னேற்றத்தையே",
"பெற்றுக்கொள்ள",
"முடிந்தது",
"."
] |
[
"kuritha",
"aandin",
"irudhiyil",
"nilaviya",
"adhiga",
"mazhai",
"kaaranamaaga",
"40%",
"aana",
"aruvadai",
"munnetraththaiye",
"pettrukkolla",
"mudindhathu",
"."
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-MISC",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"ஆண்டு",
"தொகை",
"(",
"ரூ",
".",
")",
"2015.01.01",
"தொடக்கம்",
"2015.12.31",
"வரையிலான",
"நிதி",
"ரீதியான",
"முன்னேற்றம்",
"விபரம்",
"ஒதுக்கம்"
] |
[
"aandu",
"thogai",
"(",
"roo",
".",
")",
"2015.01.01",
"thodakkam",
"2015.12.31",
"varaiyilaana",
"nithi",
"reedhiyaana",
"munnetram",
"vibaram",
"othukkam"
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"B-MISC",
"O",
"B-MISC",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"ஆரம்ப",
"பாடசாலைகளுக்காக",
"விளையாட்டுச்",
"சூழல்",
"நிர்மாணிக்கும்",
"செயற்றிட்டம்"
] |
[
"aaramba",
"paadasalaigalukkaaga",
"vilaiyaattuch",
"soozhal",
"nirmaanikkum",
"seyartthittam"
] |
[
"B-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"நவீன",
"தொழில்நுட்பவியலுக்கான",
"ஆர்த்தர்",
"சி",
"கிளார்க்",
"இன்",
"மொத்த",
"கட்டிட",
"பரப்பெல்லைக்குள்",
"இந்த",
"புதிய",
"கட்டிடத்தின்",
"பங்களிப்பானது",
"8000",
"சதுர",
"அடியாகும்",
"."
] |
[
"naveena",
"thozhilnutpaviayalukkaana",
"arthar",
"si",
"klaark",
"in",
"moththa",
"kattida",
"parappelaikkul",
"indha",
"puthiya",
"kattidaththin",
"pangalippaanadhu",
"8000",
"sathura",
"adiyaagum",
"."
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-MISC",
"I-MISC",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"அவைகள்",
"கீழே",
"குறிப்பிடப்பட்டுள்ளது",
"."
] |
[
"avaigal",
"keezhe",
"kurippidappattulladhu",
"."
] |
[
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"மீண்டெழும்",
"செலவினம்",
"மூலதனச்",
"செலவினம்",
"மொத்தம்",
"."
] |
[
"meendezhhum",
"chelavinam",
"mooladhanach",
"chelavinam",
"moththam",
"."
] |
[
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"றோசேந்",
"அணைக்கட்டு",
"ரூ",
".",
"76.85",
"மில்லியன்",
"30.11.2015",
"அன்று",
"மதிப்பீடு",
"பெறப்பட்டுள்ளதுடன்",
"அணைக்கட்டு",
"பாதுகாப்பு",
"மற்றும்",
"நீர்",
"வளங்கள்",
"திட்டமிடல்",
"(",
"DSRP",
")",
"திட்டத்திற்கான",
"பரிந்துரைகள்",
"பெறப்பட",
"உள்ளன",
"."
] |
[
"roesen",
"annaikkattu",
"ru",
".",
"76.85",
"millyan",
"30.11.2015",
"andru",
"madhippidu",
"perappattulladudan",
"annaikkattu",
"paadhukaappu",
"matrum",
"neer",
"valangal",
"thittamidhal",
"(",
"DSRP",
")",
"thittathirkkana",
"parindhuraigal",
"perappada",
"ullana",
"."
] |
[
"B-MISC",
"I-MISC",
"B-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"B-MISC",
"O",
"O",
"O",
"B-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"இந்த",
"நிறுவனத்தின்",
"நிர்வாகச்",
"சபையில்",
"11",
"அங்கத்தவர்கள்",
"அமைச்சுக்களின்",
"செயலாளர்களாக",
"இருப்பதுடன்",
"4",
"அங்கத்தவர்கள்",
"தலைவர்களாவர்",
"."
] |
[
"indha",
"niruvanathin",
"nirvaaga",
"sabaiyil",
"11",
"angathavargal",
"amaichchukkallin",
"seyalaalargallaaga",
"iruppathudan",
"4",
"angathavargal",
"thalaivargallaavar",
"."
] |
[
"O",
"O",
"B-ORG",
"O",
"B-MISC",
"I-MISC",
"B-MISC",
"I-MISC",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"முதியோருக்கான",
"தேசிய",
"செயலகத்தின்",
"முழுமையான",
"மேற்பார்வையின்",
"கீழ்",
"சேவை",
"வழங்கப்படுவதுடன்சேவை",
"பெற்றுக்கொள்பவரின்",
"தேவைக்கமைய",
"ஆண்",
"பெண்",
"இருபாலாரும்",
"பெற்றுக்கொள்ள",
"முடியும்",
"."
] |
[
"muthiyorukkaana",
"thesiya",
"seyalakaththin",
"muzhumaiyaana",
"merpaarvaiyin",
"keezh",
"sevai",
"vazhangappaduvathudan",
"sevai",
"petrukkolbavarin",
"thevaikkamaiya",
"aan",
"pen",
"irubaalaarum",
"petrukkolla",
"mudiyum",
"."
] |
[
"B-ORG",
"I-ORG",
"I-ORG",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"குறைந்த",
"சனத்தொகையான",
"187.96",
"ஐ",
"கொண்டது",
"தவலம",
"பிரதேச",
"செயலகப்",
"பிரிவாகும்",
"."
] |
[
"kuraindha",
"sanaththogaiyaana",
"187.96",
"ai",
"kondathu",
"thavalama",
"piradhesa",
"seyalaga",
"pirivaagum",
"."
] |
[
"O",
"O",
"B-MISC",
"O",
"O",
"B-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"5",
".",
"கொழும்பு",
",",
"கம்பஹா",
",",
"களுத்துறை",
",",
"காலி",
",",
"மற்றும்",
"மாத்தறை",
"ஆகிய",
"நிர்வாக",
"மாவட்டங்களின்",
"கீழ்",
"வரும்",
"ஈர",
"வலயப்",
"பகுதிகளில்",
"நிலத்தின்",
"உற்பத்தித்திறனை",
"விருத்தி",
"செய்தல்",
"மேலே",
"குறிப்பிட்ட",
"பிரேதசங்களின்",
"நில",
"உற்பத்தித்",
"திறைன",
"அதிகரிப்பதற்காக",
"நீர்ப்பாசனத்",
"திணைக்களமானது",
"ஒருங்கிணைந்த",
"முகாமைத்துவத்",
"திட்டத்தை",
"களுத்துறை",
"மாவட்டத்தில்",
"உள்ள",
"இத்தேபானாவிலிருந்து",
"தொடங்கி",
"காலி",
"மற்றும்",
"மாத்தறை",
"மாவட்டங்களிலும்",
"அறிமுகப்படுத்தியது",
"."
] |
[
"5",
".",
"kolumbu",
",",
"kambahaa",
",",
"kaluthurai",
",",
"kaali",
",",
"matrum",
"maaththrai",
"aagiya",
"nirvaaga",
"maavattangalin",
"keezh",
"varum",
"eera",
"valayap",
"paguthigalil",
"nilaththin",
"urpaththiththiranai",
"viruththi",
"seydhal",
"mele",
"kurippitta",
"piraethasangalin",
"nila",
"urpaththith",
"thirainai",
"athigaripatharkkaaga",
"neerppaasanath",
"thinaikkallamaanathu",
"orunginnaaindha",
"mugaamaiththuvath",
"thittaththai",
"kaluthurai",
"maavattaththil",
"ulla",
"iththepaanaavilrundhu",
"thodangi",
"kaali",
"matrum",
"maaththrai",
"maavattangalilum",
"arimugappaduththiyathu",
"."
] |
[
"B-MISC",
"O",
"B-LOC",
"O",
"B-LOC",
"O",
"B-LOC",
"O",
"B-LOC",
"O",
"O",
"B-LOC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-ORG",
"I-ORG",
"O",
"O",
"O",
"B-LOC",
"O",
"O",
"B-LOC",
"O",
"B-LOC",
"O",
"B-LOC",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"வருடாந்த",
"மழை",
"வீழ்ச்சி",
"68.3",
"-",
"474.1",
"மி.மீ"
] |
[
"varudaantha",
"mazhai",
"veezhchi",
"68.3",
"-",
"474.1",
"mi.mee"
] |
[
"O",
"O",
"O",
"B-MISC",
"O",
"B-MISC",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"இ",
")",
"கணக்கீட்டுக்",
"குறிப்பு",
"இல",
".",
"7",
"இற்கு",
"அமைய",
"அறவிட",
"முடியாத",
"மற்றும்",
"ஐயக்",
"கடனுக்கு",
"ஒதுக்குகின்ற",
"கொள்கை",
"மீளாய்வு",
"ஆண்டில்",
"மாற்றப்பட்டுள்ளதுடன்",
",",
"1",
"-",
"4",
"வருடங்கள்",
"வரையான",
"காலப்",
"பகுதிகளுக்கு",
"உாித்தான",
"ரூபா",
".",
"7,253,690",
"ஆன",
"கடன்",
"பட்டோருக்கு",
"போதியளவு",
"அறவிட",
"முடியாக்",
"கடன்",
"மற்றும்",
"ஐயக்",
"கடன்",
"ஒதுக்கம்",
"செய்யப்பட்டிருக்கவில்லை",
"."
] |
[
"i",
")",
"kanakkeettuk",
"kurippu",
"ila",
".",
"7",
"irku",
"amaiya",
"aravida",
"mudiyaadha",
"matrum",
"aiyak",
"kadanukku",
"othukukindra",
"kolgai",
"meelaaivu",
"aandil",
"maatrapattulladudan",
",",
"1",
"-",
"4",
"varudangal",
"varaiyaana",
"kaalap",
"paguthigalukku",
"uriththaana",
"roobaa",
".",
"7,253,690",
"aana",
"kadan",
"pattorukku",
"podhiyaalavu",
"aravida",
"mudiyaak",
"kadan",
"matrum",
"aiyak",
"kadan",
"othukkam",
"seiyappattirukkavillai",
"."
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"B-MISC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"O",
"O",
"O",
"O",
"B-MISC",
"I-MISC",
"I-MISC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"திட்டத்தின்",
"ஒட்டுமொத்த",
"பௌதீக",
"முன்னேற்றம்",
"92%",
"ஆகும்",
"."
] |
[
"thittathin",
"ottumotha",
"bouthiga",
"munnetram",
"92%",
"aagum",
"."
] |
[
"O",
"O",
"O",
"O",
"B-MISC",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"05",
".",
"முகாமைத்துவ",
"உதவியாளர்கள்",
"தலைமைத்துவப்",
"பயிற்சி"
] |
[
"05",
".",
"mugaamai ththuva",
"uthaviyaalargal",
"thalaimai ththuvap",
"payirchi"
] |
[
"B-MISC",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"உயர்தர",
"வகுப்பினைத்",
"தொடர்கின்ற",
"விழிப்புலனற்ற",
"மாணவர்களுக்கு",
"நிதியுதவியினை",
"வழங்குதல்",
"."
] |
[
"uyarthara",
"vaguppinaith",
"thodargindra",
"vizhippulanatra",
"maanavargalukku",
"nithiyuthaviyinai",
"vazhanguthal",
"."
] |
[
"O",
"O",
"O",
"O",
"B-MISC",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"இலங்கை",
"கடற்படையினருக்கு",
"மின்னணுவியல்",
"/",
"தொடர்பாடல்",
"பற்றிய",
"தொழில்சார்பியல்",
"கற்கைநெறி",
"மின்னணுவியல்",
"மற்றும்",
"தொலைதொடர்பாடல்",
"கருவிகளை",
"பேணுதலில்",
"பாடுபட்டுள்ள",
"தொழில்நுட்பவியல்",
"குழுவினரை",
"பயிற்றுவிக்கும்படி",
"இலங்கை",
"கடற்படையினரால்",
"முன்வைக்கப்பட்ட",
"ஒரு",
"விசேட",
"கோரிக்கையை",
"தொடர்ந்து",
"ஒரு",
"பயிற்ச்சி",
"நிகழ்ச்சித்திட்டமானது",
"திட்டமிடப்பட்டு",
"நடாத்தப்பட்டது",
"."
] |
[
"ilangai",
"kadarpadaiyinarukku",
"minnannuviyal",
"/",
"thodarbadal",
"patriya",
"thozhilsaarbial",
"karkaineri",
"minnannuviyal",
"matrum",
"tholaithodarbadal",
"karuvigalai",
"penuthalil",
"paadupattulla",
"thozhilnutpaviyal",
"kuzhuvinarai",
"payitruvikkumbadi",
"ilangai",
"kadarpadaiyinaral",
"munvaikkappatta",
"oru",
"viseda",
"korikkaiyai",
"thodarnthu",
"oru",
"payirchi",
"nigazhchithittamaanathu",
"thittamidappattu",
"nadaththappattathu",
"."
] |
[
"B-LOC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"9.4.8",
".",
"2015",
"ஆம்",
"ஆண்டின்",
"வருடாந்த",
"இடமாற்றத்தின்",
"கீழ்",
"அரச",
"முகாமைத்துவ",
"சேவையின்",
"இரண்டு",
"அலுவலர்கள்",
"திணைக்களத்திலிருந்து",
"வெளியில்",
"இடமாற்றம்",
"பெற்றுச்",
"சென்றதோடு",
",",
"அதற்குப்",
"பதிலாக",
"ஒரு",
"அலுவலர்",
"மட்டும்",
"வருகைதந்துள்ளார்",
"."
] |
[
"9.4.8",
".",
"2015",
"aam",
"aandrin",
"varudaantha",
"idamaatrathin",
"keezh",
"arasa",
"mugaamaiththuva",
"sevaiyin",
"irandu",
"aluvalargal",
"thinaikkalaththilirundhu",
"veliyil",
"idamaatram",
"petruch",
"sendrathodu",
",",
"atharkup",
"pathilaaga",
"oru",
"aluvalar",
"mattum",
"varugai thanthullaar",
"."
] |
[
"B-MISC",
"O",
"B-MISC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"1",
")",
"10",
"படுகை",
"முதலீட்டு",
"திட்டங்களின்",
"அபிவிருத்தி"
] |
[
"1",
")",
"10",
"padugai",
"muthaleettu",
"thittangalin",
"abiviruthi"
] |
[
"B-MISC",
"I-MISC",
"B-MISC",
"B-MISC",
"I-MISC",
"I-MISC",
"I-MISC"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"சோதனை",
"மற்றும்",
"அளவீட்டு",
"சேவைகளும்",
"வன்பொருள்",
"திருத்துகையும்",
"-",
"தொடர்பாடல்",
"பிரிவு",
"இணையச்சு",
"வடகம்",
"திருத்துதல்",
",",
"இணையச்",
"சில்லு",
"மற்றும்",
"நுண்கட்டுப்படுத்தி",
"செய்நிரலாக்கம்",
"ஆன்டனா",
"முறைமை",
"அளவீடுகள்",
"எப்எம்",
"அலைவரிசையை",
"பிடித்தல்",
",",
"களவலு",
"அளவீடு",
"மற்றும்",
"ஜிங்கிள்",
"அலகுகளின்",
"வன்பொருள்",
"திருத்துகை",
"என்பன",
"உள்ளடங்கலாக",
"வேறு",
"பலதரப்பட்ட",
"சேவைகளாவன",
"வேறுபட்ட",
"வாடிக்கையாளர்களுக்காக",
"தொடர்பாடல்",
"பிரிவினால்",
"வழங்கப்பட்டது",
"."
] |
[
"sodhanai",
"matrum",
"alaveettu",
"sevaigalum",
"vanporul",
"thiruththugaiyum",
"-",
"thodarbaadal",
"pirivu",
"innaiyachu",
"vadagam",
"thiruthuthal",
",",
"innaiyach",
"sillu",
"matrum",
"nunkatuppaduththi",
"seyniralaakkam",
"aandanaa",
"muraimai",
"alaveedugal",
"epem",
"alaivarisaiyai",
"pidiththal",
",",
"kalavalu",
"alaveedu",
"matrum",
"jingil",
"alagugalin",
"vanporul",
"thiruththugai",
"enbana",
"ulladangalaaga",
"veru",
"palatharappatta",
"sevaigalaavana",
"verupatta",
"vaadikkaiaallargalukkaaga",
"thodarbaadal",
"pirivinaal",
"valangappattathu",
"."
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"டிசம்பர்",
"மொத்தம்",
"1968",
"ஆம்",
"ஆண்டு",
"32",
"ஆம்",
"இலக்க",
"ஆட்களைப்",
"பதிவுசெய்யும்",
"சட்டம்",
"மற்றும்",
"1981",
"ஆம்",
"ஆண்டு",
"11",
"ஆவது",
"திருத்தத்திற்கிணங்க",
"16",
"வருடங்கள்",
"பூர்த்தியாகிய",
"இலங்கைப்",
"பிரஜைகள்",
"பதிவு",
"செய்யப்பட்டதுடன்",
"அவர்களுக்கு",
"அடையாள",
"அட்டைகளை",
"விநியோகம்",
"செய்தல்",
"இத்",
"திணைக்களத்தின்",
"நோக்கமாகும்",
"."
] |
[
"disambar",
"moththam",
"1968",
"aam",
"aandu",
"32",
"aam",
"ilakka",
"aatkalaip",
"pathivuseyyum",
"sattam",
"matrum",
"1981",
"aam",
"aandu",
"11",
"aavathu",
"thirutthathirkkinanga",
"16",
"varudangal",
"poorththiyaagiya",
"ilangai",
"pirajaigal",
"pathivu",
"seyyappattathudan",
"avargalukku",
"adaiyala",
"attaigalai",
"viniyogam",
"seithal",
"ith",
"thinaikkalaththin",
"nokkamaagum",
"."
] |
[
"B-MISC",
"O",
"B-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"O",
"B-MISC",
"I-MISC",
"I-MISC",
"B-MISC",
"I-MISC",
"I-MISC",
"B-MISC",
"I-MISC",
"O",
"B-LOC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"இதற்கு",
"மேலாக",
",",
"வயோதிபர்",
"அடையாளஅட்டை",
"விநியோகித்தல்",
",",
"கண்ணாடிவழங்கல்",
",",
"ரூபா",
".2000",
"/",
"-",
"மாதாந்தக்",
"கொடுப்பனவு",
"வழங்கல்",
"போன்ற",
"திட்டங்கள்",
"இவ்",
"ஆண்டில்",
"மேற்கொள்ளப்பட்டன",
"."
] |
[
"itharku",
"melaga",
",",
"vayodhipar",
"adaiyalaattai",
"viniyogithal",
",",
"kannaadivazhangal",
",",
"roobaa",
".2000",
"/",
"-",
"maathaandhak",
"koduppanavu",
"vazhangal",
"pondra",
"thittangal",
"iv",
"aandil",
"merkollappattana",
"."
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"1999",
"ஆம்",
"ஆண்டின்",
"29",
"ஆம்",
"இலக்க",
"திருத்தச்",
"சட்டம்",
"கடன்",
"கொடுக்கல்",
"வாங்கல்களுக்காக",
"எழுதப்பட்ட",
"அறுதியுறுதிகளின்",
"மீது",
"இச்சபை",
"இடையீடு",
"செய்வதற்கு",
"வழிவகுத்து",
"இதன்",
"நிவாரண",
"உதவி",
"நடவடிக்கைகளை",
"மேலும்",
"விரிவடையச்",
"செய்துள்ளது",
"."
] |
[
"1999",
"aam",
"aandin",
"29",
"aam",
"ilakka",
"thirutthach",
"sattam",
"kadan",
"kodukkal",
"vaangalkalukkaaga",
"ezhuthappatta",
"aruthiyuruthihalin",
"meethu",
"ichsabai",
"idaiyeedu",
"seivatharkku",
"vazhivaguththu",
"idhan",
"nivaarana",
"uthavi",
"nadavadikkaigalai",
"melum",
"virivadaiyach",
"seithullathu",
"."
] |
[
"B-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"அது",
"தொடர்பில்",
"ரூபா",
".",
"4,175,067.00",
"",
"பணம்",
"செலவினம்",
"செய்யப்பட்டுள்ளது",
"."
] |
[
"adhu",
"thodarbhil",
"roobaa",
".",
"4,175,067.00",
"",
"panam",
"selavinam",
"seiyappattulladhu",
"."
] |
[
"O",
"O",
"B-MISC",
"I-MISC",
"I-MISC",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"மேலும்",
"அம்பாந்தோட்டையி்ல்",
"புதிதாக",
"ஸ்தாபிக்கப்பட்டுள்ள",
"துறைமுகமும்",
"மற்றும்",
"மத்தளை",
"விமான",
"நிலையம்",
"என்பவற்றின்",
"ஊடாக",
"புதிய",
"தொழில்",
"முயற்சியாண்மைகளுக்கான",
"வாய்ப்புகளை",
"பெற்றுக்கொள்வதற்கு",
"கொழும்புப்",
"பல்கலைக்கழக",
"விவசாய",
"தொழில்நுட்பவியல்",
"மற்றும்",
"கிராமிய",
"ஆராய்ச்சி",
"நிறுவனம்",
"வழிகாட்டலை",
"ஆரம்பித்துள்ளது",
"."
] |
[
"maelum",
"ambaanttottaiyil",
"pudhithaaga",
"sthaabikkappattulla",
"thuraimugamum",
"matrum",
"mathallai",
"vimaana",
"nilaiyam",
"enpavattrin",
"oodaaga",
"puthiya",
"thozhil",
"muyarchiyaanmaigalukkaana",
"vaaipugalai",
"petrukkolvadharku",
"kolumbup",
"palkalaikkazhaga",
"vivasaaya",
"thozhilnutpaviyal",
"matrum",
"giraamiya",
"aaraaichi",
"niruvanam",
"vazhikaattalai",
"aarambiththulladhu",
"."
] |
[
"O",
"B-LOC",
"O",
"O",
"O",
"O",
"B-MISC",
"I-MISC",
"I-MISC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"இச்செயற்றிட்டத்தின்",
"பிரதான",
"நோக்கானது",
"பல",
"பிரகாசமான",
"நட்சத்திரங்களை",
"இடைநிலை",
"பிரித்தெடுப்பு",
"நிறமாலை",
"பதியில்",
"நவீன",
"தொழில்நுட்பவியலுக்கான",
"ஆர்த்தர்",
"சி",
".",
"கிளார்க்",
"இல்",
"45",
"தொலைகாட்டியூடாக",
"அவதானித்தலும்",
"மற்றும்",
"நட்சத்திரங்களின்",
"இரசாயன",
"அதிகத்தன்மையை",
"அறிந்துகொண்டு",
"அவற்றை",
"ஏற்றுக்கொள்ளப்பட்ட",
"பெறுமானங்களுடன்",
"ஒப்பிடலும்",
"ஆகும்",
"."
] |
[
"iccheyarttittathin",
"pirathaana",
"nokkaanathu",
"pala",
"pirakaasamaana",
"natchaththirangalai",
"idainilai",
"piriththeduppu",
"niramaalai",
"pathiyil",
"naveena",
"thozhilnutpaviyalukkaana",
"aarththar",
"si",
".",
"kllaark",
"il",
"45",
"tholaikaattiyoodaaga",
"avathaaniththalum",
"matrum",
"natchaththirangalin",
"irasaayana",
"athigaththanmaiyai",
"arinthukondu",
"avatrai",
"etrukkollappatta",
"perumaanangaludan",
"oppidalum",
"aagum",
"."
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"I-PER",
"I-PER",
"O",
"B-MISC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"பிரசுரிப்புக்கள்",
":",
"\"",
"நிறமாலை",
"தொகுப்பு",
"முறையைப்",
"பயன்படுத்தி",
"தேர்ந்தெடுக்கப்பட்ட",
"சில",
"பிரகாசமான",
"நட்சத்திரங்களின்",
"நிறமாலை",
"அளவுருக்களை",
"தீர்மானித்தல்",
"\"",
"எனும்",
"தலைப்பினைக்",
"கொண்ட",
"ஆராய்ச்சி",
"கட்டுரையானது",
"2013ஆம்",
"ஆண்டு",
"டிசம்பர்",
"மாதம்",
"இலங்கை",
"விஞ்ஞான",
"முன்னேற்ற",
"சங்கத்தின்",
"வருடாந்த",
"பருவக்கூட்டத்தொடரின்",
"முன்வைக்கப்பட்டு",
"பிரசுரிக்கப்பட்டது",
"."
] |
[
"pirasurippukkal",
":",
"",
"niramaalai",
"thoguppu",
"muraiyai",
"payanpaduthi",
"thernthedukkappatta",
"sila",
"pirakaasamaana",
"natchaththirangalin",
"niramaalai",
"alavurukkalai",
"theermaaniththal",
"",
"enum",
"thalaippinaik",
"konda",
"aaraaichi",
"katturaiyaanadhu",
"2013aam",
"aandu",
"disambar",
"maatham",
"ilangai",
"vingnaana",
"munnetra",
"sangaththin",
"varudaantha",
"paruvakkoottaththodaril",
"munvaikkappattu",
"pirasurikkappattadhu",
"."
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"B-ORG",
"I-ORG",
"I-ORG",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"5.2",
"மதிப்பிடப்பட்ட",
"பயனுள்ள",
"வாழ்நாளில்",
"செலவைக்",
"குறிப்பதற்கு",
"அனைத்து",
"சொத்து",
",",
"பொறி",
"மற்றும்",
"உபகரணங்கள்",
"மீது",
"தேய்மானம்",
"வசூலிக்கப்படுகிறது",
"."
] |
[
"5.2",
"mathippidappatta",
"payanulla",
"vaalnaalil",
"selavaik",
"kurippatharku",
"anaiththu",
"soththu",
",",
"pori",
"matrum",
"ubakaranangal",
"meethu",
"thaeymaanam",
"vasoolikkappadugirathu",
"."
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"2",
".",
"க.வ.லி.நி",
"-",
"கணினி",
"வலையமைப்பு",
"லினக்ஸ்",
"நிர்வாகம்",
"2013",
"ஆகஸ்ட்",
"24",
"-",
"2013",
"டிசம்பர்",
"21"
] |
[
"2",
".",
"ka.va.li.ni",
"-",
"kanini",
"valaiyamaipu",
"linux",
"nirvaagam",
"2013",
"august",
"24",
"-",
"2013",
"december",
"21"
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"B-MISC",
"O",
"B-MISC",
"I-MISC",
"I-MISC",
"O",
"B-MISC",
"I-MISC",
"I-MISC"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"2012",
"ஆம்",
"ஆண்டிற்காக",
"மூலதனம்",
"மற்றும்",
"மீண்டுவரும்",
"செலவின்",
"கீழ்",
"ரூபா",
"மில்லியன்",
"78.190",
"நிதியம்",
"ஒதுக்கப்பட்டுள்ள",
"போதிலும்",
"சில்லறைக்",
"காசுப்",
"புத்தகப்",
"பணமாக",
"கிடைக்கப்பட்டிருப்பது",
"ரூபா",
"மில்லியன்",
"65.790",
"மாத்திரமே",
"ஆகும்",
"."
] |
[
"2012",
"aam",
"aandirkkaaga",
"mooladhanam",
"matrum",
"meenduvarum",
"selavin",
"keezh",
"roobaa",
"millyan",
"78.190",
"nidhiyam",
"othukkapattulla",
"pothilum",
"sillarai",
"kaasup",
"putthagap",
"panamaaga",
"kidaikkappattiruppadhu",
"roobaa",
"millyan",
"65.790",
"maaththirame",
"aagum",
"."
] |
[
"B-MISC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-MISC",
"I-MISC",
"I-MISC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-MISC",
"I-MISC",
"I-MISC",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"சிறுவர்",
"அபிவிருத்தி",
"கிராமிய",
"குழு",
"அமைத்தல்",
"நிகழ்ச்சித்",
"திட்டங்கள்"
] |
[
"siruvar",
"abhiviruthi",
"kiraamiya",
"kuzhu",
"amaithal",
"nigazhchith",
"thittangal"
] |
[
"B-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"அத்துடன்",
"முதியோரின்",
"சேமநலத்தையும்",
",",
"பாதுகாப்பையும்",
"மேம்படுத்த",
"எங்களுக்கு",
"பல்வேறு",
"வழிகளில்",
"உதவிய",
"அரச",
"சார்பற்ற",
"நிறுவனங்களுக்கும்",
"எனது",
"விசேட",
"நன்றிகளைத்",
"தெரிவிக்கின்றேன்",
"."
] |
[
"aththudan",
"muthiyorin",
"semanalaththaiyum",
",",
"paathukaapaiyum",
"mempaduththa",
"engalukku",
"palveru",
"vazhigalil",
"uthaviya",
"arasa",
"saarbattra",
"niruvanangalukkum",
"enathu",
"visehda",
"nandrigalaith",
"therivikkindren",
"."
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"1",
".",
"தேசத்திற்கு",
"மகுடம்",
"நிகழ்ச்சித்திட்டத்திற்கு",
"சமாந்தரமாக",
"கிராமத்துப்",
"பாடசாலைப்",
"பிள்ளைகளுக்கு",
"உடல்",
"மற்றும்",
"உள",
"நலத்தை",
"மேம்படுத்தும்",
"நிகழ்ச்சித்திட்டங்கள்"
] |
[
"1",
".",
"dhesaththirku",
"magudam",
"nigazhchiththittaththirku",
"samaantharamaaga",
"graamaththup",
"paadasalaip",
"pilllaigalukku",
"udal",
"matrum",
"ulla",
"nalaththai",
"mempaduththum",
"nigazhchiththittangal"
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"வருடத்தினுள்",
"அறவிடப்பட்ட",
"தொகை",
"-",
"ரூ",
".97,793.48",
"/",
"-"
] |
[
"varudathinull",
"aravidappatta",
"thogai",
"-",
"ru",
".97,793.48",
"/",
"-"
] |
[
"O",
"O",
"O",
"O",
"B-MISC",
"I-MISC",
"I-MISC",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"மேலும்",
",",
"இலங்கையில்",
"நம்பிக்கை",
"நிதியங்கள்",
"சட்டம்",
"1971",
"ஆம்",
"ஆண்டு",
"30",
"ஆம்",
"இலக்கம்",
"மற்றும்",
"1968",
"ஆம்",
"ஆண்டு",
"சட்ட",
"இலக்கம்",
"7",
"மற்றும்",
"1934",
"ஆம்",
"ஆண்டு",
"1",
"ஆம்",
"இலக்கம்",
"மற்றும்",
"1918",
"ஆம்",
"ஆண்டு",
"4",
"ஆம்",
"இலக்க",
"கட்டளைச்",
"சட்டம்",
"மூலம்",
"திருத்தப்பட்ட",
"1917",
"ஆம்",
"ஆண்டு",
"நம்பிக்கை",
"நிதிய",
"கட்டளை",
"சட்டம்",
"இலக்கம்",
"9",
"இன்",
"கீழ்",
"கட்டுப்படுத்தப்பட்டுள்ளது",
"."
] |
[
"maelum",
",",
"ilangaiyil",
"nambikkai",
"nithiyangal",
"sattam",
"1971",
"aam",
"aandu",
"30",
"aam",
"ilakkam",
"matrum",
"1968",
"aam",
"aandu",
"satta",
"ilakkam",
"7",
"matrum",
"1934",
"aam",
"aandu",
"1",
"aam",
"ilakkam",
"matrum",
"1918",
"aam",
"aandu",
"4",
"aam",
"ilakka",
"kattalaich",
"sattam",
"moolam",
"thirutthappatta",
"1917",
"aam",
"aandu",
"nambikkai",
"nithiya",
"kattalai",
"sattam",
"ilakkam",
"9",
"in",
"keezh",
"kattuppaduththappattulladhu",
"."
] |
[
"O",
"O",
"B-LOC",
"B-MISC",
"I-MISC",
"I-MISC",
"B-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"B-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"O",
"B-MISC",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"19",
"பிரதேசங்களுக்கான",
"சர்வதேச",
"வயோதிபர்",
"தினக்",
"கொண்டாட்டம்",
"வயது",
"வந்தோரிற்கான",
"விழிப்புணர்வு",
"திட்டம்",
"மொத்தப்",
"பெறுமானம்"
] |
[
"19",
"piradhesangalukkaana",
"sarvadesa",
"vayodhipar",
"dhina",
"kondaattam",
"vayadhu",
"vandhorirkaana",
"vizhippunarvu",
"thittam",
"moththap",
"perumaanam"
] |
[
"O",
"O",
"B-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"X",
".",
"வழக்காடுதல்",
"சம்பந்தப்பட்ட",
"நிர்வாகத்",
"தன்மையின்",
"நடவடிக்கை",
"முறை",
"உட்பட",
"சட்ட",
"நடவடிக்கை",
"முறைகளைப்",
"பகுத்தறிவு",
"செய்தல்",
"மற்றும்",
"இலகுபடுத்துவதற்காக",
"நிகழ்ச்சித்",
"திட்டங்களை",
"முறையாகத்",
"தயார்",
"செய்தல்",
"."
] |
[
"X",
".",
"vazhakkaadudhal",
"sambandappatta",
"nirvaagath",
"thanmaiyin",
"nadavadikkai",
"murai",
"utpada",
"satta",
"nadavadikkai",
"muraigalai",
"paguththarivu",
"seydhal",
"matrum",
"ilagupaduththuvadharkaaga",
"nigazhchith",
"thittangalai",
"muraiyaagath",
"thayaar",
"seydhal",
"."
] |
[
"B-MISC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"கணினி",
"வன்பொருள்",
"இயந்திரவியலில்",
"பயிற்சிப்பட்டறை",
"-",
"02",
"நாட்கள்",
"கீழ்வரும்",
"விடயங்கள்",
"தொடர்பில்",
"அறிவினையும்",
"திறனையும்",
"வளர்ப்பதற்கு",
"பயிற்சிப்பட்டறைகள்",
"உதவியாக",
"இருக்கின்றன",
"."
] |
[
"kanini",
"vanporul",
"iyanthiraviyalil",
"payirchipattaarai",
"-",
"02",
"naatkal",
"keelvarum",
"vidayangal",
"thodarpil",
"arivinaiyum",
"thiranaiyum",
"valarpatharku",
"payirchipattaaraigal",
"uthaviyaaga",
"irukkindrana",
"."
] |
[
"B-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"O",
"B-MISC",
"I-MISC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"இச்",
"செயன்முறையில்",
",",
"புதிய",
"சட்டங்களை",
"விதித்தல்",
",",
"உளதாம்",
"சட்டங்களை",
"திருத்தஞ்",
"செய்தல்",
"மற்றும்",
"பல",
"அரச",
"அமைச்சுகளிலிருந்து",
"பெற்றுக்",
"கொடுக்கப்படுகின்ற",
"இடைச்",
"சட்டங்களை",
"மீள்",
"நோக்குவதற்காக",
"திணைக்களத்தினால்",
"வரைவுகள்",
"தயார்",
"செய்யப்படுகின்றன",
"."
] |
[
"ich",
"seyanmuraiyil",
",",
"puthiya",
"sattangalai",
"vithiththal",
",",
"ulathaam",
"sattangalai",
"thiruththanj",
"seythal",
"matrum",
"pala",
"arasa",
"amaichchukalilirundhu",
"pettru",
"kodukka padugindra",
"idaich",
"sattangalai",
"meel",
"nokkuvatharkaaga",
"thinaikkalaththinaal",
"varaivugal",
"thayaar",
"seyyappadugindrana",
"."
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"ஆய்வரங்கு",
"கட்டுரைத்தொகுப்பு",
",",
"சிறப்பு",
"மலர்",
",",
"இந்துக்",
"கலைக்",
"களஞ்சியம்",
"-",
"12",
"ம்",
"தொகுதி",
"மற்றும்",
"திருவாசக",
"பாடல்கள்",
"அடங்கிய",
"ஒலிப்பேழை",
"வெளியீடு",
"."
] |
[
"aaivaranngu",
"katturaiththoguppu",
",",
"sirappu",
"malar",
",",
"hindhuk",
"kalaik",
"kalanjsiyam",
"-",
"12",
"m",
"thoguthi",
"matrum",
"thiruvaasaga",
"paadalgal",
"adangiya",
"olippezhai",
"veliyeedu",
"."
] |
[
"B-MISC",
"B-MISC",
"O",
"B-MISC",
"I-MISC",
"I-MISC",
"B-MISC",
"I-MISC",
"I-MISC",
"O",
"B-MISC",
"O",
"O",
"O",
"B-MISC",
"I-MISC",
"O",
"B-MISC",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"குழுவினால்",
"வரைவு",
"தயாரிக்கப்பட்டு",
"கௌரவ",
".",
"நீதி",
"அமைச்சருக்கு",
"கையளிக்கப்பட்டது",
"."
] |
[
"kuzhuvinaal",
"varaivu",
"thayaarikkappattu",
"gowrava",
".",
"needhi",
"amaichcharukku",
"kaiyalikkappattathu",
"."
] |
[
"O",
"O",
"O",
"O",
"O",
"B-MISC",
"I-MISC",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"நிறுவகத்தின்",
"செயற்றிட்டங்களில்",
"இருந்து",
"பெறப்படும்",
"வருமானங்கள்",
"மற்றும்",
"ஏனைய",
"ஊழைப்புக்களில்",
"இருந்து",
"பெறப்படும்",
"வருமானங்களாவன",
"பெறுமான",
"சேர்",
"கணிப்பீட்டிற்கு",
"உட்படும்",
"அதே",
"வேளையில்",
"நிறுவகத்தின்",
"கற்கை",
"நெறியிலிருந்து",
"பெறப்படும்",
"வருமானங்கள்",
"பெறுமான",
"சேர்",
"வரி",
"கணிப்பீட்டிற்கு",
"உட்படாது",
"."
] |
[
"niruvagaththin",
"seyatrittangalil",
"irundhu",
"perappadum",
"varumaanangal",
"matrum",
"eanaiya",
"ூழlaippukkalil",
"irundhu",
"perappadum",
"varumaanangallaavana",
"perumaana",
"ser",
"kanippeettirku",
"utpadum",
"adhae",
"vaelaiyil",
"niruvagaththin",
"karkai",
"neriyilirundhu",
"perappadum",
"varumaanangal",
"perumaana",
"ser",
"vari",
"kanippeettirku",
"utpadathu",
"."
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"ஜனவரி",
"2015",
"இல்",
"புதிய",
"அரசாங்கத்தை",
"ஸ்தாபித்த",
"பின்னர்",
",",
"வேண்டப்படாத",
"அனைத்து",
"நேரடியான",
"முன்மொழிவுகளும்",
"மீண்டும்",
"மதிப்பாய்வு",
"செய்யப்பட்டு",
"அமைச்சரவை",
"துணைக்குழுவில்",
"அனுமதிக்காகச்",
"சமர்ப்பிக்கப்பட்டதோடு",
"மேலும்",
"அந்தக்",
"குழுவின்",
"ஆலோசனையின்",
"பேரில்",
"குறித்த",
"திட்டம்",
"2015",
"மே",
"முதல்",
"இடைநிறுத்தப்பட்டது",
"."
] |
[
"janavari",
"2015",
"il",
"puthiya",
"arasaangatthai",
"sthaabittha",
"pinnar",
",",
"vendattadha",
"anaiththu",
"neradiyaana",
"munmozhivugalum",
"meendum",
"mathippaivu",
"seiyappattu",
"amaichcharavai",
"thunaikkuluvil",
"anumatikkaagas",
"samarppikkappattadodu",
"melum",
"anthak",
"kuluvin",
"aalosanaiyin",
"peril",
"kurittha",
"thittam",
"2015",
"me",
"mudhal",
"idainiruththappattadhu",
"."
] |
[
"B-MISC",
"I-MISC",
"O",
"O",
"B-ORG",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-MISC",
"I-MISC",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"பார்வையற்ற",
"பெற்றோர்களின்",
"பார்வையைக்",
"கொண்ட",
"பிள்ளைகள்",
"130",
"பேருக்கு",
"கல்வி",
"உதவிகள்",
"வழங்குதல்",
"."
] |
[
"paarvaiyatra",
"petrorgalin",
"paarvaiyai",
"konda",
"pillaigal",
"130",
"perukku",
"kalvi",
"uthavigal",
"vazhanguthal",
"."
] |
[
"O",
"O",
"O",
"O",
"B-MISC",
"I-MISC",
"I-MISC",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"இங்கே",
"உழைக்கும்",
"எண்ணக்கருவில்",
"கற்றலானது",
"(",
"பின்தங்கிய",
"சமூகத்தினுடைய",
"அன்றாட",
"வருமானத்திற்கு",
"இடையூறு",
"விளைவிக்காமல்",
"தொழில்",
"மீதான",
"பயிற்சி",
"/",
"அரச",
"கொள்ளையொன்றாக",
"கருதப்படுவதில்லை",
")",
"பலரின்",
"பாராட்டைப்",
"பெற்றுள்ளது",
"."
] |
[
"ingae",
"uzhaikkum",
"ennakkaruvil",
"katralaanadhu",
"(",
"pinthangiya",
"samookathinudaiya",
"andraada",
"varumaanaththirku",
"idaiyuru",
"vilaivikkaamal",
"thozhil",
"meedhaana",
"payirchi",
"/",
"arasa",
"kollyondraga",
"karudhapaduvadhillai",
")",
"palarin",
"paaraattaip",
"petrulladhu",
"."
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"தாவரத்தின்",
"பெயர்",
"பாக்கு",
"2013",
"பனாமுர",
"கல்தொட்ட",
"மகாசியபலங்கமுவ",
"யுதகனாவா",
",",
"புத்தல",
"கோமரிகா",
"எல",
"பெரமடுவ",
"தெதுரு",
"ஓயா",
"பதவியா",
"ரிதியகம",
"உமா",
"எல",
"ஹீரட்டி",
"ஓயா",
"அத்தரகல்லேவ",
"ஹல்மில்ல",
"கும்புக்",
"மஹோகனி",
"மாங்கனி",
"கருங்காலி",
"வெரலு",
"மீ",
"கறுவா",
"புலு",
"ஹனா",
"கோமாரிக்கா",
"விளாம்",
"புருத்த",
"தொம்ப",
"கூன்",
"பலா",
"டூரியன்",
"கரண்டா",
"சந்தனம்",
"நா",
"கிதுல்",
"எசல",
"வெட்டகெய்யா",
"கொடபர",
"வீரை"
] |
[
"thaavarathin",
"peyar",
"paakku",
"2013",
"panaamura",
"kalthotta",
"mahaasiyapalangamuva",
"yuthakanaavaa",
",",
"putthala",
"komarikaa",
"ela",
"peramaduva",
"thedhuru",
"ooyaa",
"pathaviyaa",
"rithiyagama",
"umaa",
"ela",
"heeratti",
"ooyaa",
"aththarakalleeva",
"halmilla",
"kumbuk",
"mahoogany",
"maangani",
"karungaali",
"veralu",
"mee",
"karuvaa",
"pulu",
"hanaa",
"komaarikkaa",
"vilaam",
"puruththa",
"thomba",
"koon",
"palaa",
"dooryan",
"karandaa",
"santhanam",
"naa",
"kithul",
"esala",
"vettakheyyaa",
"kodapara",
"veerai"
] |
[
"O",
"O",
"O",
"B-MISC",
"B-LOC",
"B-LOC",
"B-LOC",
"B-LOC",
"O",
"B-LOC",
"I-LOC",
"B-LOC",
"I-LOC",
"B-LOC",
"I-LOC",
"B-LOC",
"B-LOC",
"B-LOC",
"I-LOC",
"B-LOC",
"I-LOC",
"B-LOC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"கண்டி",
"எஸலபெரஹெர",
"காலப்பகுதியில்",
"சமூகத்திற்கான",
"விழிப்புணர்வு",
"நிகழ்ச்சித்",
"திட்டமொன்று",
"ஒழுங்கு",
"செய்தல்"
] |
[
"kandi",
"esalaperahere",
"kaalappaguthiyil",
"samugathirkkaana",
"vizhippunarvu",
"nigazhchith",
"thittamondru",
"ozhங்கு",
"seithal"
] |
[
"B-LOC",
"B-MISC",
"O",
"O",
"B-MISC",
"I-MISC",
"I-MISC",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"தோட்டப்புற",
"பிள்ளைகளுக்காக",
"கற்கை",
"உபகரணங்கள்",
"வழங்குதல்"
] |
[
"thottappura",
"pillaigalukkaaga",
"karkai",
"ubakaranangal",
"vazhangudhal"
] |
[
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"அதற்கிணங்க",
"2014",
"ஆம்",
"ஆண்டிற்காக",
"அங்கீகரிக்கப்பட்ட",
"அரசியற்",
"கட்சிகளாக",
"64",
"கட்சிகள்",
"பதிவு",
"செய்யப்பட்டன",
"."
] |
[
"atharkinangga",
"2014",
"aam",
"aandirkaaga",
"anggeegarikkappaṭṭa",
"arasiyar",
"katchigallaaga",
"64",
"katchigal",
"pathivu",
"seiyappattana",
"."
] |
[
"O",
"B-MISC",
"O",
"O",
"O",
"O",
"O",
"B-MISC",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"3.2.16",
".",
"ஒவ்வொரு",
"கிராம",
"அலுவலர்",
"பிரிவிற்குமுரிய",
"அடையாள",
"அட்டையில்லாத",
"நபர்களின்",
"எண்ணிக்கை",
"மற்றும்",
"அடையாள",
"அட்டைகள்",
"இதுவரை",
"பெற்றுக்",
"கொள்ளாமைக்கான",
"காரணங்கள்",
"அதாவது",
"பிறந்த",
"திகதியுடையை",
"உறுதி",
"செய்து",
"கொள்வதற்குப்",
"பிறப்புச்",
"சான்றிதழ்",
"அல்லது",
"வேறு",
"ஏதேனும்",
"ஆவணமொன்றைச்",
"சமர்ப்பிக்க",
"முடியாமை",
",",
"அடையாள",
"அட்டையொன்றைப்",
"பெற்றுக்",
"கொள்ள",
"ஆர்வமின்மை",
"மற்றும்",
"வேறு",
"காரணங்கள்",
"என்பவற்றை",
"2015",
"மீளாய்வின்",
"போது",
"கிராம",
"அலுவலர்களிடமிருந்து",
"பெற்றுக்",
"கொண்டு",
"அத்தகவல்களை",
"ஆட்பதிவு",
"ஆணையாளருக்குப்",
"பெற்றுக்",
"கொடுக்க",
"நடவடிக்கையெடுக்கப்பட்டதோடு",
",",
"அதன்",
"அடிப்படையில்",
"ஆட்பதிவு",
"திணைக்களத்தினால்",
"அப்பிரிவினருக்கு",
"அடையாள",
"அட்டைகளைப்",
"பெற்றுக்",
"கொடுப்பதை",
"இலக்காகக்",
"கொண்ட",
"ஒரு",
"புதிய",
"நிகழ்ச்சித்",
"திட்டமொன்றை",
"2015",
"ஆம்",
"ஆண்டில்",
"அமுல்படுத்துவதற்கும்",
"நடவடிக்கை",
"எடுக்கப்பட்டது",
"."
] |
[
"3.2.16",
".",
"ovvoru",
"graama",
"aluvalar",
"pirivirku muriya",
"adaiyala",
"attaiyillaadha",
"nabargalin",
"ennikkai",
"matrum",
"adaiyala",
"attaigal",
"idhuvarai",
"petruk",
"kollaamaikkaana",
"kaaranangal",
"adhaavadhu",
"pirandha",
"thigadhiyudaiya",
"urudhi",
"seidhu",
"kolvadharkup",
"pirappuch",
"saandrithal",
"alladhu",
"veru",
"yedhaenum",
"aavanamondraich",
"samarpikka",
"mudiyaamai",
",",
"adaiyala",
"attaiyondraip",
"petruk",
"kolla",
"aarvaminmai",
"matrum",
"veru",
"kaaranangal",
"enbavatrai",
"2015",
"meelaayvun",
"bodhu",
"graama",
"aluvalargallidamirundhu",
"petruk",
"kondu",
"aththagavalkalai",
"aatpadhivu",
"aanaiyaallarukku",
"petruk",
"kodukka",
"nadavadikkaiyedukkappattathodu",
",",
"adhan",
"adippadaiyil",
"aatpadhivu",
"thinaikkalaththinaal",
"appirivinarukku",
"adaiyala",
"attaigalai",
"petruk",
"koduppadhai",
"ilakkaagak",
"konda",
"oru",
"puthiya",
"nigalchith",
"thittamondrai",
"2015",
"aam",
"aandil",
"amulpaduththuvadharkum",
"nadavadikkai",
"edukkappattadhu",
"."
] |
[
"B-MISC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-MISC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-MISC",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"3",
"கபடி",
"2014.08.09",
"அங்கும்புர",
"தேசிய",
"பாடசாலை",
"25,000.00"
] |
[
"3",
"kabadi",
"2014.08.09",
"angumpura",
"thesiya",
"paadasaalai",
"25,000.00"
] |
[
"B-MISC",
"B-MISC",
"B-MISC",
"B-LOC",
"B-ORG",
"I-ORG",
"B-MISC"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"காட்டு",
"விலங்குகளினால்",
"ஏற்படும்",
"தீமைகள்",
"விவசாயத்துறை",
"மற்றும்",
"மக்களின்",
"வாழ்க்கைக்கான",
"தீங்குகளானவை",
"சில",
"பிரதேசங்களில்",
"உயர்ந்தளவில்",
"இருக்கின்றன",
"."
] |
[
"kaattu",
"vilangugallinaal",
"aerpadum",
"theemaigal",
"vivasaayathurai",
"matrum",
"makkallin",
"vaazhkkaikkaana",
"theengugallaanavai",
"sila",
"piradhesangalil",
"uyarndha allavil",
"irukkindrana",
"."
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"2015",
"ஆம்",
"ஆண்டுக்கான",
"வருடாந்த",
"ஒதுக்கீடு",
"ரூ",
"4",
"மில்லியன்",
"மற்றும்",
"ரூ",
"3.85",
"மில்லியன்",
"டிசம்பர்",
"2015",
"இறுதியில்",
"பயன்படுத்தப்பட்டது",
"."
] |
[
"2015",
"aam",
"aandukkaana",
"varudaantha",
"othukkeedu",
"roo",
"4",
"milliyaan",
"matrum",
"roo",
"3.85",
"milliyaan",
"disambar",
"2015",
"iruthiyil",
"payanpaduththappattathu",
"."
] |
[
"I-MISC",
"O",
"O",
"O",
"O",
"B-MISC",
"I-MISC",
"O",
"O",
"B-MISC",
"I-MISC",
"O",
"O",
"I-MISC",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"இப்பிரிவின்",
"கீழ்",
"உயர்",
"அபாய",
"நிலையிலுள்ள",
"தேர்ந்தெடுக்கப்பட்ட",
"32",
"பாரிய",
"அணைக்கட்டுகளின்",
"பாதுகாப்பை",
"பொது",
"மக்களுக்கு",
"உறுதி",
"செய்தல்",
",",
"80",
"அணைக்கட்டுகளின்",
"(",
"32",
"அணைக்கட்டுகளும்",
"உள்ளடங்கலாக",
")",
"செயற்பாட்டு",
"திறனை",
"அதிகரித்தல்",
",",
"அணைக்கட்டு",
"பாதுகாப்பு",
"முகாமைத்துவம்",
",",
"செயற்பாட்டு",
"மற்றும்",
"பராமரிப்பு",
"(",
"O",
"&",
"M",
")",
"தொடர்பில்",
"நிலையான",
"நிறுவனக்",
"கட்டமைப்பொன்றை",
"நிறுவுதல்",
"ஆகியவை",
"உள்ளடங்குகின்றன",
"."
] |
[
"ippirivin",
"keezh",
"uyar",
"abaaya",
"nilaiyillulla",
"thernthedukkappatta",
"32",
"paariya",
"anaikkattugalin",
"paathukaappai",
"podhu",
"makkalukku",
"urudhi",
"seithal",
",",
"80",
"anaikkattugalin",
"(",
"32",
"anaikkattugalum",
"ulladangalaaga",
")",
"seyarpaattu",
"thiranai",
"athikarithal",
",",
"anaikkattu",
"paathukaappu",
"mugaamai ththuvam",
",",
"seyarpaattu",
"matrum",
"paramaripu",
"(",
"O",
"&",
"M",
")",
"thodarbil",
"nilaiyaana",
"niruvanak",
"kattamaippondrai",
"niruvuthal",
"aagiyavai",
"ulladanggukinrana",
"."
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"B-MISC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-MISC",
"O",
"O",
"B-MISC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"2015",
"ஆம்",
"ஆண்டு",
"தொடக்கம்",
"இன்று",
"வரை",
"மாவட்டச்",
"செயலாளராக",
"(",
"பதில்",
"கடமை",
")",
"மாலனி",
"லொகுபோத்தாகம",
"அவர்கள்",
"பணியாற்றி",
"வருகின்றார்கள்",
"."
] |
[
"2015",
"aam",
"aandu",
"thodakkam",
"indru",
"varai",
"maavattach",
"seyalaalaraga",
"(",
"badhil",
"kadamai",
")",
"maalani",
"legupothaagaama",
"avargal",
"paniyaatri",
"varugindraargal",
"."
] |
[
"B-MISC",
"O",
"O",
"O",
"O",
"O",
"B-MISC",
"I-MISC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"4.2",
"செயல்நடவடிக்கையில்",
"வினைத்திறனின்மை",
"தங்களினால்",
"(",
"அ",
")",
"மற்றும்",
"(",
"ஆ",
")",
"வில்",
"குறிப்பிடப்பட்டுள்ள",
"அவதானிப்புக்களின்படி",
"சுட்டிக்காட்டப்பட்டுள்ள",
"குறைபாடுகளை",
"நிவர்த்தி",
"செய்வதற்கு",
"தேவையான",
"நடவடிக்கை",
"எடுக்கப்பட்டுள்ளது",
"."
] |
[
"4.2",
"seyalnadavadikkaiyil",
"vinaithiraninmai",
"thangallinaal",
"(",
"a",
")",
"matrum",
"(",
"aa",
")",
"vil",
"kurippidappattulla",
"avathanippukkalin padi",
"suttikkaattappattulla",
"kuraipaadugalai",
"nivarthi",
"seivatharku",
"thevaiyaana",
"nadavadikkai",
"edukkappattullathu",
"."
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"நீர்",
"மாதிரிகள்",
"ஆண்டுக்கு",
"இரண்டு",
"முறை",
"பரிசோதிக்கப்பட்டு",
"நிலத்தடி",
"நீர்மட்டம்",
"கண்காணிக்கப்படுகிறது",
"."
] |
[
"neer",
"maathirigal",
"aandukku",
"irandu",
"murai",
"parisothikkappattu",
"nilaththadi",
"neermattam",
"kan kaanikkappadugirathu",
"."
] |
[
"O",
"O",
"O",
"B-MISC",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"3",
".",
"முதியோர்களுக்காக",
"அடையாள",
"அட்டை",
"வழங்கல்",
"2012",
"வருடத்தினுள்",
"ரூ",
".",
"0.485",
"மில்லியன்",
"செலவில்",
"முதியோர்கள்",
"20500",
"பேர்களுக்கு",
"முதியோர்",
"அடையாள",
"அட்டைகள்",
"வழங்கப்பட்டுள்ளன",
"."
] |
[
"3",
".",
"mudhiyorgalukkaaga",
"adaiyala",
"attai",
"vazhangal",
"2012",
"varudaththinull",
"ru",
".",
"0.485",
"millyan",
"selavil",
"mudhiyorgal",
"20500",
"pergalukku",
"mudhiyor",
"adaiyala",
"attaigal",
"vazhangappattullana",
"."
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"B-MISC",
"O",
"B-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"O",
"O",
"B-MISC",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"02",
".",
"2015",
"ஆம்",
"ஆண்டில்",
"புதிதாக",
"சேர்ந்த",
"வழக்குகளின்",
"எண்ணிக்கை"
] |
[
"02",
".",
"2015",
"aam",
"aandil",
"pudhithaaga",
"serndha",
"vazhakkugalin",
"ennikkai"
] |
[
"B-MISC",
"O",
"B-MISC",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"விழிப்புலனற்ற",
"நபர்களுக்குத்",
"தேவையான",
"சேவைகள்",
"வழங்குதல்",
",",
"புனர்வாழ்வளித்தல்",
"மற்றும்",
"நிவாரணம்",
"வழங்குதல்",
"இந்நம்பிக்கை",
"நிதியத்தின்",
"பணிக்கூற்றாகும்",
"."
] |
[
"vizhippulanatra",
"nabargalukkuth",
"thevaiyaana",
"sevaigal",
"vazhangudhal",
",",
"punarvaazhvazhithal",
"matrum",
"nivaaranam",
"vazhangudhal",
"innambikkai",
"nidhiyaththin",
"pannikoottraagum",
"."
] |
[
"B-PER",
"I-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"நிறுவனத்தின்",
"சொத்து",
"தொடர்பில்",
"ஈடு",
"செய்யப்படும்",
"மானியங்களாவன",
"அந்த",
"சொத்தின்",
"வாழ்வுக்",
"காலம்",
"கணக்கில்",
"கொள்ளப்பட்டு",
"உள்ளக்காலத்திற்குரிய",
"வருமானக்",
"கூற்றில்",
"ஒரு",
"கிரமமான",
"முறையில்",
"பதிவுசெய்யப்படும்",
"."
] |
[
"niruvannathin",
"soththu",
"thodarpil",
"eedu",
"seiyappadum",
"maaniyanggallaavana",
"andha",
"soththin",
"vaalvuk",
"kaalam",
"kanakkil",
"kollappattu",
"ullakkaalathirkuriya",
"varumaanak",
"kootrril",
"oru",
"kiramamaana",
"muraiyil",
"pathivuseiyappadum",
"."
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"இவ்வேலைத்",
"திட்டத்தை",
"தொடர்ந்து",
"மேற்கொள்வதற்காக",
"நீர்ப்பாசன",
"முகாமைத்துவப்",
"பிரிவு",
"கமநல",
"அமைப்பு",
",",
"எல்லாவெல",
"தோட்டக்கலை",
"(",
"பிரைவேட்",
")",
"லிமிடட்",
"மற்றும்",
"கொழும்பு",
"பல்கலைக்கழக",
"விவசாய",
"தொழில்நுட்பம்",
"மற்றும்",
"கிராமிய",
"விஞ்ஞான",
"நிறுவனம்",
"(",
"யு.சி.ஐ.ஆர்.எஸ்",
")",
"ஆகியவற்றுக்கு",
"இடையில்",
"புரிந்துணர்வு",
"ஒப்பந்தம்",
"ஒன்று",
"கையெழுத்திடப்பட்டது",
"."
] |
[
"ivvelait",
"thittaththai",
"thodarnthu",
"merkolvatharkaga",
"neerppasana",
"mugaamai ththuvap",
"pirivu",
"kamanala",
"amaippu",
",",
"ellavela",
"thottakkalai",
"(",
"piraivaet",
")",
"limitat",
"matrum",
"kolumbu",
"palkalaikkalaga",
"vivasaya",
"thozhilnutpam",
"matrum",
"kiraamiya",
"vignyana",
"niruvanam",
"(",
"yu.si.ai.aar.es",
")",
"aagiyavatruku",
"idaiyil",
"purinthunarvu",
"oppantham",
"ondru",
"kaiyezhuththidappattathu",
"."
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-ORG",
"I-ORG",
"O",
"B-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"O",
"B-ORG",
"I-ORG",
"O",
"O",
"O",
"B-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"O",
"O",
"O",
"O",
"B-MISC",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"இயற்கை",
"அனர்த்தம்",
"காரணமாக",
"இறந்தவர்கள்",
"சார்பாக",
"நிதி",
"வழங்குதல்",
"4",
"."
] |
[
"iyarKai",
"anartham",
"kaaraNamaaga",
"irandhavargal",
"saarbaaga",
"nithi",
"vazhangudhal",
"4",
"."
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"2.2.6",
"கணக்காய்வுக்கான",
"சான்றுகள்",
"இன்மை",
"கூட்டுத்தொகை",
"ரூபா",
".",
"41,497,720",
"ஆன",
"பெறுமதிமிக்க",
"கணக்கு",
"மீதிகள்",
"04",
",",
"நிலுவைகள்",
"உறுதிப்படுத்தப்படாமை",
"காரணமாக",
"கணக்காய்வின்",
"போது",
"திருப்திகரமாக",
"மதிப்பீடு",
"செய்ய",
"முடியவில்லை",
"."
] |
[
"2.2.6",
"kanakkaayvukkaana",
"saandrugal",
"inmai",
"koottuththogai",
"roobaa",
".",
"41,497,720",
"aana",
"perumathimikka",
"kanakku",
"meethigal",
"04",
",",
"niluvaigal",
"uruthiththuppadathaamai",
"kaaranamaaga",
"kanakkaayvun",
"podhu",
"thirupthikaramaaga",
"mathippeedu",
"seyya",
"mudiyavillai",
"."
] |
[
"O",
"O",
"O",
"O",
"O",
"B-MISC",
"I-MISC",
"I-MISC",
"O",
"O",
"O",
"O",
"B-MISC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"ஆண்டுதோறும்",
"செய்ய",
"வேண்டிய",
"வேலையின்",
"அளவு",
"."
] |
[
"aanduthorum",
"seiya",
"vendiya",
"velaiyin",
"alavu",
"."
] |
[
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"கொச்சிப்பொத்தன",
"நீர்த்தேக்கத்தின்",
"திறன்",
"மற்றும்",
"அருகிலுள்ள",
"நீர்",
"அதிகமாகவுள்ள",
"பகுதிகள்",
"அல்லது",
"நீர்த்தேக்கத்திலிருந்து",
"நீர்",
"கிடைப்பதைப்",
"பொறுத்து",
",",
"பயிரிடப்பட்ட",
"நிலத்தின்",
"அளவை",
"300",
"ஏக்கராக",
"அதிகரிக்க",
"முடியும்",
"."
] |
[
"kochchippothana",
"neerthekaththin",
"thiran",
"matrum",
"arugilulla",
"neer",
"athigamagaulla",
"paguthigal",
"allathu",
"neerthekkaththilirunthu",
"neer",
"kidaipathai",
"poruththu",
",",
"payiridappatta",
"nilaththin",
"alavai",
"300",
"ekkaraaga",
"athikarikka",
"mudiyum",
"."
] |
[
"B-MISC",
"I-MISC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-MISC",
"I-MISC",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"செயற்றிட்டத்தின்",
"பௌதீக",
"முன்னேற்றம்",
"99%",
"ஆக",
"இருந்தது",
"."
] |
[
"seyatrittathin",
"boudeega",
"munnetram",
"99%",
"aaga",
"irundhadhu",
"."
] |
[
"O",
"O",
"O",
"B-MISC",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"இரண்டாவது",
"மாணவர்",
"அணியிலிருந்து",
"தகுதிப்பெற்றவர்கள்",
"உயர்",
"டிப்ளோமா",
"பாடநெறிக்காக",
"2013",
"ஆம்",
"ஆண்டில்",
"சேர்த்துக்கொள்ளப்படுவார்கள்",
"."
] |
[
"irandaavadhu",
"maanavar",
"aniyilirundhu",
"thaguthippetravargal",
"uyar",
"diplomaa",
"paadanerikkaaga",
"2013",
"aam",
"aandil",
"serththuk kollappaduvaargal",
"."
] |
[
"B-MISC",
"O",
"O",
"O",
"B-MISC",
"I-MISC",
"O",
"B-MISC",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"அதற்கிணங்க",
",",
"தேர்தல்கள்",
"ஆணையாளரால்",
"ஜனாதிபதித்",
"தேர்தல்கள்",
"சட்டத்தின்",
"02",
"ஆம்",
"பிரிவின்",
"கீழான",
"அறிவித்தல்",
"21.11.2014",
"ஆம்",
"திகதியுடைய",
"1889",
"/",
"31",
"ஆம்",
"இலக்க",
"அதிவிஷேட",
"வர்த்தமானியில்",
"வெளியிடப்பட்டதோடு",
",",
"அவ்வறிவித்தல்",
"மூலம்",
"08.12.2014",
"அன்று",
"வேட்புமனுக்களைக்",
"கையேற்கவும்",
"08.01.2015",
"அன்று",
"தேர்தலை",
"நடாத்தவும்",
"உத்தரவிடப்பட்டது",
"."
] |
[
"adharkkinangga",
",",
"therthalgall",
"aanaiyaallaraal",
"janadhipathith",
"therthalgall",
"sattaththin",
"02",
"aam",
"pirivin",
"keezhaana",
"ariviththal",
"21.11.2014",
"aam",
"thigadhiyudaiya",
"1889",
"/",
"31",
"aam",
"ilakka",
"adhivishada",
"varththamaanil",
"veliyidappattathodu",
",",
"avvariviththal",
"moolam",
"08.12.2014",
"andru",
"vetpumanukallaik",
"kaiyerkavum",
"08.01.2015",
"andru",
"therthalai",
"nadaththavum",
"uththaravidappattadhu",
"."
] |
[
"O",
"B-MISC",
"I-MISC",
"I-MISC",
"B-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"O",
"O",
"B-MISC",
"O",
"O",
"B-MISC",
"I-MISC",
"I-MISC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-MISC",
"O",
"O",
"O",
"B-MISC",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"4",
".",
"குற்றவியல்",
"நடவடிக்கைமுறைச்",
"சட்டக்கோவைச்",
"(",
"விசேட",
"ஏற்பாடுகள்",
")",
"சட்டமூலம்",
"2013",
"ஆம்",
"ஆண்டின்",
"2",
"ஆம்",
"இலக்கச்",
"சட்டமூலம்",
"குறிப்பிட்ட",
"சில",
"குற்றங்களுக்கு",
"நீடித்த",
"தடுப்பு",
"காவலுக்கு",
"ஏற்பாடு",
"செய்வதுடன்",
",",
"2015",
"ஆம்",
"ஆண்டு",
"மார்ச்",
"மாதம்",
"19",
"ஆம்",
"திகதி",
"குறிப்பிட்ட",
"காலத்திற்கு",
"நீடிக்கப்படுகின்ற",
"கட்டளையானது",
"மீண்டும்",
"பாராளுமன்றத்தில்",
"நிறைவேற்றப்பட்டது",
"."
] |
[
"4",
".",
"kuttraviyal",
"nadavadikkaimuraich",
"sattakkovaich",
"(",
"vishaeda",
"aerpadugal",
")",
"sattamoolam",
"2013",
"aam",
"aandin",
"2",
"aam",
"ilakkach",
"sattamoolam",
"kurippitta",
"sila",
"kuttangalukku",
"needitha",
"thaduppu",
"kaavalukku",
"aerpaadu",
"seivathudan",
",",
"2015",
"aam",
"aandu",
"maarch",
"maatham",
"19",
"aam",
"thigathi",
"kurippitta",
"kaalaththirkku",
"needikkappadukinra",
"kattallaiyaanadhu",
"meendum",
"paarallumanraththil",
"niraivaetrrappattadhu",
"."
] |
[
"B-MISC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"O",
"O",
"O",
"O",
"O",
"B-ORG",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"இந்து-தமிழ்க்",
"கலை",
"கலாசார",
"முன்னிறுத்துகை",
"இலங்கை",
"எழுத்தாளர்களிடமிருந்து",
"நூல்களைக்",
"கொள்வனவு",
"செய்தல்",
"இலங்கைத்",
"தமிழ்",
"எழுத்தாளர்களை",
"ஊக்குவிக்கும்",
"முகமாக",
"இதுவரையில்",
"70",
"எழுத்தாளர்களிடமிருந்து",
"மொத்தமாக",
"1825",
"நூல்கள்",
"கொள்வனவு",
"செய்யப்பட்டு",
"பிரதான",
"நூலகங்களுக்கு",
"விநியோகிக்கப்படுகின்றன",
"."
] |
[
"hindhu-thamizh",
"kalai",
"kalaachaara",
"munniruththugai",
"ilangai",
"ezhuththaalargallidamirundhu",
"noolgalaik",
"kollvanavu",
"seydhal",
"ilangaith",
"thamizh",
"ezhuththaalargallai",
"ookkuvikkum",
"mugamaaga",
"idhuvaraiyil",
"70",
"ezhuththaalargallidamirundhu",
"moththamaaga",
"1825",
"noolgal",
"kollvanavu",
"seyyappattu",
"piradhaana",
"noolagangallukku",
"viniyogikkappadugindrana",
"."
] |
[
"O",
"B-MISC",
"O",
"O",
"B-LOC",
"B-MISC",
"B-MISC",
"O",
"O",
"B-LOC",
"B-MISC",
"B-MISC",
"O",
"O",
"O",
"B-MISC",
"I-MISC",
"O",
"B-MISC",
"I-MISC",
"O",
"O",
"O",
"B-MISC",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"இவ்வாக்காளர்களுக்காக",
"புத்தளம்",
"மற்றும்",
"அனுராதபுரம்",
"ஆகிய",
"மாவட்டங்களில்",
"19",
"வாக்கெடுப்பு",
"நிலையங்கள்",
"நிறுவப்பட்டன",
"."
] |
[
"ivvaakkalargalukkaaga",
"putthallam",
"matrum",
"anuraadhapuram",
"aagiya",
"maavattangalil",
"19",
"vaakkeduppu",
"nilaiyangal",
"niruva pattana",
"."
] |
[
"O",
"B-LOC",
"O",
"B-LOC",
"O",
"O",
"B-MISC",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"செயற்றிட்டத்தின்",
"மொத்த",
"முதலீடு",
"110",
"மில்லியன்",
"அமெரிக்க",
"டொலர்"
] |
[
"seyattritaththin",
"motha",
"muthaleedu",
"110",
"milliian",
"amerikka",
"dollar"
] |
[
"O",
"O",
"O",
"B-MISC",
"I-MISC",
"I-MISC",
"I-MISC"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"குறிப்பாக",
"அம்பாந்தொட்டை",
"மாவட்டத்தில்",
"இழைய",
"வளர்ப்பு",
"பயிற்செய்கை",
"வியாபித்தலில்",
"இந்த",
"நிறுவனத்துடன்",
"இணைந்து",
"அரசுசாரா",
"நிறுவனங்கள்",
"மறைமுக",
"வசதி",
"வழங்குனர்களாக",
"பெரும்",
"பணியாற்றின",
"."
] |
[
"kurippaaga",
"ambaantottai",
"maavattaththil",
"izhaiya",
"valarppu",
"payirchcheygai",
"viyaapiththalil",
"indha",
"niruvanaththudan",
"innaindhu",
"arasusaaraa",
"niruvanangal",
"maraimuga",
"vasadhi",
"vazhangunaragalaaga",
"perum",
"paniyaattrina",
"."
] |
[
"O",
"B-LOC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"2015",
"டிசம்பர்",
"இறுதி",
"வரை",
"ரூ",
".",
"75.45",
"மில்லியன்",
"பயன்படுத்தப்பட்டுள்ளது",
"."
] |
[
"2015",
"disambar",
"irudhi",
"varai",
"ru",
".",
"75.45",
"milliyaan",
"payanpaduththappattulladhu",
"."
] |
[
"B-MISC",
"I-MISC",
"O",
"O",
"B-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"5",
".",
"மட்டக்களப்பு",
"நீதிமன்றக்",
"கட்டிடத்தொகுதி",
"கட்டம்",
"ii",
"விபரம்",
"ஒதுக்கம்",
"(",
"ரூ",
".",
")",
"செலவு",
"(",
"ரூ",
".",
")",
"மீண்டெழும்",
"செலவினம்",
"மூலதனச்",
"செலவினம்",
"மொத்தம்",
"."
] |
[
"5",
".",
"mattakkallappu",
"needhimandrak",
"kattidaththoguthi",
"kattam",
"ii",
"vibaram",
"othukkam",
"(",
"roo",
".",
")",
"selavu",
"(",
"roo",
".",
")",
"meendezhum",
"selavinam",
"mooladhanach",
"selavinam",
"moththam",
"."
] |
[
"B-MISC",
"O",
"B-MISC",
"I-MISC",
"I-MISC",
"O",
"B-MISC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"மீண்டெழும்",
"செலவினத்",
"தொகுப்பு",
"தனிப்பட்ட",
"வேதனம்",
"-",
"90%",
"பிரயாணச்",
"செலவு",
"-",
"2%",
"வழங்கல்கள்",
"-",
"2%",
"பராமரிப்புச்",
"செலவு",
"-",
"1%",
"சேவைகள்",
"-",
"4%",
"மாற்றல்கள்",
"-",
"1%",
"செலவு",
"விபரம்",
"தனிப்பட்ட",
"சம்பளப்",
"பட்டியல்",
"உண்மையான",
"செலவினம்",
"ரூ",
"."
] |
[
"meendezhum",
"selavinath",
"thoguppu",
"thanipatta",
"vedhanam",
"-",
"90%",
"pirayaanach",
"selavu",
"-",
"2%",
"valanggal",
"-",
"2%",
"paramarippuch",
"selavu",
"-",
"1%",
"sevaigal",
"-",
"4%",
"maatrangal",
"-",
"1%",
"selavu",
"vibaram",
"thanipatta",
"sambalap",
"pattiyal",
"unmaiyaana",
"selavinam",
"ru",
"."
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"B-MISC",
"O",
"O",
"O",
"B-MISC",
"O",
"O",
"B-MISC",
"O",
"O",
"O",
"B-MISC",
"O",
"O",
"B-MISC",
"O",
"O",
"B-MISC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"2015",
"ஜூலை",
"20,21,22",
"ஆம்",
"திகதிகளில்",
"காலி",
"மரபுவழி",
"நிறுவனத்துடன்",
"இணைந்து",
"கோட்டை",
"நகரங்களுக்கிடையில்",
"அறிவு",
"பரிமாற்றல்",
"திட்டம்",
"நடத்தியமை",
"."
] |
[
"2015",
"joolai",
"20,21,22",
"aam",
"thigadhigalil",
"kaali",
"marabuvali",
"niruvanathudan",
"innaindhu",
"kottai",
"nagarangalukkidaiyil",
"arivu",
"parimaatrral",
"thittam",
"nadaththiyamai",
"."
] |
[
"B-MISC",
"I-MISC",
"I-MISC",
"O",
"O",
"B-LOC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"அதிகார",
"சபையின்",
"நிதிப்பாய்ச்சல்",
"மற்றும்",
"பணப்புழக்கத்தைப்",
"படித்து",
"பரிந்துரைகளை",
"வழங்குதல்"
] |
[
"adhikaara",
"sabaiyin",
"nidhippaaychchal",
"matrum",
"panapulakkaththai",
"padiththu",
"parinthuraigalai",
"valanguthal"
] |
[
"B-ORG",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"இந்த",
"மாவட்டம்",
"வடக்கில்",
"கேகாலை",
"மற்றும்",
"நுவரெலியா",
"மாவட்டங்களாலும்",
",",
"தெற்கில்",
"காலி",
",",
"மாத்தறை",
"மற்றும்",
"அம்பாந்தோட்டை",
"மாவட்டங்களாலும்",
",",
"மேற்கில்",
"கொழும்பு",
"மற்றும்",
"களுத்துறை",
"மாவட்டங்களாலும்",
",",
"கிழக்கில்",
"பதுளை",
"மற்றும்",
"மொனராகலை",
"மாவட்டங்களாலும்",
"எல்லைப்படுத்தப்பட்டுள்ளது",
"."
] |
[
"indha",
"maavattam",
"vadakkil",
"kekaalai",
"matrum",
"nuvareliyaa",
"maavattangalaalum",
",",
"therkil",
"gaali",
",",
"maatharai",
"matrum",
"ambaanthottai",
"maavattangalaalum",
",",
"merkkuil",
"kolumbu",
"matrum",
"kaluthurai",
"maavattangalaalum",
",",
"kilakkil",
"bathulai",
"matrum",
"monaraagalai",
"maavattangalaalum",
"yellaipaduththappattulladhu",
"."
] |
[
"O",
"O",
"O",
"B-LOC",
"O",
"B-LOC",
"O",
"O",
"O",
"B-LOC",
"O",
"B-LOC",
"O",
"B-LOC",
"O",
"O",
"O",
"B-LOC",
"O",
"B-LOC",
"O",
"O",
"O",
"B-LOC",
"O",
"B-LOC",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"விசேட",
"செயற்பாடுகள்",
"வர்த்தகமற்ற",
"அரச",
"தொழில்",
"முயற்சிகளின்",
"வரவுசெலவுத்",
"திட்ட",
"முகாமை",
"தேசிய",
"வரவுசெலவுத்திட்டத்",
"திணைக்களமானது",
"2014",
"ஆம்",
"ஆண்டின்",
"போது",
"122",
"வர்த்தகமற்ற",
"அரச",
"தொழில்",
"முயற்சிகளின்",
"நியதிச்சட்ட",
"சபைகள்",
",",
"நிதி",
"மற்றும்",
"வரவு",
"செலவுத்திட்ட",
"முகாமை",
"தொடர்பான",
"அனைத்து",
"விடயங்களையும்",
"மேற்கொண்டு",
"வருகின்றது",
"."
] |
[
"viseada",
"seyarpaadugal",
"varththagamattra",
"arasa",
"thozhil",
"muyarchigallin",
"varavuselavuth",
"thitta",
"mugaamai",
"thesiya",
"varavuselavuththittath",
"thinaikkallamaanathu",
"2014",
"aam",
"aandin",
"podhu",
"122",
"varththagamattra",
"arasa",
"thozhil",
"muyarchigallin",
"niyathischatta",
"sabaigal",
",",
"nithi",
"matrum",
"varavu",
"selavuththitta",
"mugaamai",
"thodarbana",
"anaiththu",
"vidayangallaiyum",
"merkondru",
"varugindrathu",
"."
] |
[
"O",
"O",
"O",
"B-ORG",
"O",
"O",
"O",
"I-MISC",
"I-MISC",
"B-ORG",
"I-ORG",
"I-ORG",
"B-MISC",
"I-MISC",
"I-MISC",
"O",
"B-MISC",
"O",
"O",
"I-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"நான்",
"இலங்கைக்",
"கணக்காய்வு",
"நியமங்களுக்கு",
"அமைய",
"எனது",
"கணக்காய்வுகளை",
"மேற்கொண்டுள்ளேன்",
"."
] |
[
"naan",
"ilangaik",
"kanakkaayvu",
"niyamanangalukku",
"amaiya",
"enathu",
"kanakkaayvugalai",
"merkkondulleen",
"."
] |
[
"O",
"B-MISC",
"I-MISC",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"ஆதனம்",
"/",
"வீடமைப்பு",
"வாகனம்",
"இடர்",
"பண்டிகை",
"விசேடம்",
"துவிச்சக்கரவண்டி",
"2015",
"ஆம்",
"ஆண்டு",
"ஓகஸ்ட்",
"மாதம்",
"17",
"ஆம்",
"திகதியிலிருந்து",
"ஆதன",
"/",
"வீட்டுக்",
"கடன்கள்",
"வாகனக்",
"கடன்கள்",
"என்பவற்றிற்கான",
"அங்கீகாரம்",
"திணைக்களத்",
"தலைவர்களாலும்",
"உயர்",
"நீதிமன்ற",
"நீதிபதிகளாலும்",
"அங்கீகரிக்கப்படுகின்றன",
"."
] |
[
"aadhanam",
"/",
"veedamaippu",
"vaaganam",
"idar",
"pandigai",
"viseedam",
"dhuvichchakkaravandi",
"2015",
"aam",
"aandu",
"ogast",
"maadham",
"17",
"aam",
"dhigadhiyilirundhu",
"aadhana",
"/",
"veettuk",
"kadanhal",
"vaaganak",
"kadanhal",
"enbavatrirkkaana",
"angeekaaram",
"thinaikkalath",
"thalaivargallaalum",
"uyar",
"needhimandra",
"needhipadhigallaalum",
"angeegarikka padugindrana",
"."
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"I-MISC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-ORG",
"I-ORG",
"B-MISC",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"வாக்கெண்ணல்",
"நிலையங்களுக்குத்",
"தேவையான",
"பாதுகாப்பு",
"காவல்துறையினரால்",
"வழங்கப்பட்டது",
"."
] |
[
"vaakkennal",
"nilayanggalukkuth",
"thevaiyaana",
"paadhukaappu",
"kaavalthuraiyinaral",
"vazhangappattathu",
"."
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"மேற்படி",
"பணிகளை",
"எதிர்பார்க்கப்பட்டவாறு",
"நிறைவேற்ற",
"முடிந்த",
"போதிலும்",
",",
"2011",
"ஆம்",
"ஆண்டில்",
"அதிகார",
"சபையின்",
"வருமானம்",
"மற்றும்",
"செலவினத்தின்",
"நிலைமை",
"திருப்திகரமானதாக",
"இருக்கவில்லை",
"."
] |
[
"merppadi",
"panigalai",
"ethirpaarkkappattavaaru",
"niraivaetra",
"mudintha",
"pothilum",
",",
"2011",
"aam",
"aandil",
"athigaara",
"sabaiyin",
"varumaanam",
"matrum",
"chelavinaththin",
"nilaimai",
"thirupthikaramaanathaaga",
"irukkavillai",
"."
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-MISC",
"I-MISC",
"I-MISC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"தொலை",
"மருத்துவ",
"முறைமை",
"நோயாளிகள்",
"தொடர்பிலான",
"தகவல்களை",
"(",
"இரத்த",
"அழுத்தம்",
",",
"வெப்பம்",
",",
"இதயத்துடிப்பு",
")",
"சேய்மை",
"அடிப்படையில்",
"சேகரிப்பதற்கு",
"வடிவமைப்புச்",
"செய்யப்பட்டு",
"விருத்தி",
"செய்யப்பட்ட",
"ஒரு",
"உள்ளக",
"செயற்றிட்டம்",
"ஆகும்",
"."
] |
[
"tholai",
"maruththuva",
"muraimai",
"noyaligal",
"thodarbilaana",
"thagavalkalai",
"(",
"iraththa",
"azhuththam",
",",
"veppam",
",",
"idhayaththudippu",
")",
"seimai",
"adippadaiyil",
"segaripatharku",
"vadivamaippuch",
"seiyappattu",
"viruththi",
"seiyappatta",
"oru",
"ullaga",
"seyattrittam",
"aagum",
"."
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"4.13",
".",
"அரசியல்",
"கட்சிகளின்",
"செயலாளர்கள்",
"/",
"வேட்பாளர்களுக்கு",
"விழிப்புணர்வூட்டவும்",
"வாக்கெடுப்பு",
"மற்றும்",
"வாக்கெண்ணல்",
"தொடர்பாக",
"அரசியல்",
"கட்சிகள்",
"/",
"வேட்பாளர்களிடத்தில்",
"காணப்பட்ட",
"சந்தேகங்களை",
"இல்லாதொழிப்பதற்கும்",
"தொடர்",
"நடவடிக்கைகள்",
"எடுக்கப்பட்டதோடு",
",",
"வாக்கெண்ணல்",
"மற்றும்",
"பெறுபேறுகளை",
"அட்டவணைப்படுத்தல்",
"அலுவல்களின்",
"கண்காணிப்புக்காக",
"முந்தைய",
"தேர்தல்களின்",
"போது",
"மாவட்டத்தினுள்",
"மட்டும்",
"சந்தர்ப்பம்",
"வழங்கப்பட்ட",
"போதும்",
"இந்த",
"ஜனாதிபதித்",
"தேர்தலில்",
"அரசியல்",
"கட்சிகளின்",
"செயலாளர்கள்",
"/",
"முகவர்களுக்கும்",
"மற்றும்",
"தேர்ந்தெடுக்கப்பட்ட",
"கண்காணிப்பு",
"அமைப்புக்களுக்கும்",
"இறுதி",
"பெறுபேறு",
"தயாரிக்கப்பட்ட",
"தேர்தல்கள்",
"செயலகத்தில்",
"பெறுபேறுகளை",
"அட்டவணைப்படுத்தும்",
"அலுவல்களை",
"கண்காணிப்பதற்கு",
"சந்தர்ப்பம்",
"வழங்கப்பட்டது",
"."
] |
[
"4.13",
".",
"arasiyal",
"katchigalin",
"seyalargal",
"/",
"vetpaalargalukku",
"vizhippunarvoottavum",
"vaakkeduppu",
"matrum",
"vaakkennal",
"thodarbaaga",
"arasiyal",
"katchigal",
"/",
"vetpaalargalidathil",
"kaanappatta",
"sandhegangalai",
"illaathozhippatharkum",
"thodar",
"nadavadikkaigal",
"edukkappattathodu",
",",
"vaakkennal",
"matrum",
"peruberrugalai",
"attavanaippaduththal",
"aluvalgalin",
"kankaanipukkaaga",
"munthaiya",
"therthalgallin",
"podhu",
"maavattinul",
"mattum",
"sandharppam",
"vazhangappatta",
"podhum",
"indha",
"janadhipathith",
"therthalil",
"arasiyal",
"katchigalin",
"seyalargal",
"/",
"mugavargalukkum",
"matrum",
"thernthedukkappatta",
"kankaanippu",
"amaippukkalukkum",
"irudhi",
"peruberru",
"thayaarikkappatta",
"therthalkal",
"seyalagaththil",
"peruberrugalai",
"attavanaippaduththum",
"aluvalgalai",
"kankaanippatharku",
"sandharppam",
"vazhangappattadhu",
"."
] |
[
"B-MISC",
"O",
"B-MISC",
"I-MISC",
"I-MISC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"பிரதீப்",
"யசரத்ன",
"சமூக",
"சேவைகள்",
"பணிப்பாளர்",
"தொலைநோக்கு",
"மனித",
"அபிவிருத்தியின்",
"முன்னோடியாக",
"விளங்குதல்",
"பணிக்கூற்று",
"சமூகத்தில்",
"பாதக",
"நிலைமைக்குள்ளானவர்களுக்கு",
"அவசியமான",
"சேவைகளினை",
"வழங்குதல்",
"மற்றும்",
"வலுவூட்டுதலினூடாக",
"அவர்களைத்",
"தேசிய",
"அபிவிருத்தியில்",
"",
"செயலாற்றும்",
"பங்குதாரர்களாக",
"ஆக்குதல்",
"மற்றும்",
"அவர்களை",
"வலுப்படுத்தல்",
"."
] |
[
"piradheep",
"yasarathna",
"samuga",
"sevaigal",
"pannippaalar",
"tholai nokku",
"manitha",
"abiviruthiyin",
"munnodiyaga",
"villanguthal",
"pannikkoottru",
"samugaththil",
"paathaga",
"nilaimaikkullaanavargalukku",
"avasiyamaana",
"sevaigalinnai",
"valanguthal",
"matrum",
"valuvoottudalinnoodaga",
"avargalaith",
"thesiya",
"abiviruthiyil",
"",
"seyalaatrum",
"panguthaarargalaaga",
"aakkuthal",
"matrum",
"avargalai",
"valuppaduththal",
"."
] |
[
"B-PER",
"I-PER",
"B-MISC",
"I-MISC",
"I-MISC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"கண்டி",
"மாவட்டத்தில்",
"அரச",
"மற்றும்",
"அரச",
"சார்பற்ற",
"நிறுவனங்கள்",
"36",
"கண்டி",
"மாவட்டத்தில்",
"பெண்கள்",
"தினவிழா",
"நடாத்துதல்"
] |
[
"kandi",
"maavattaththil",
"arasa",
"matrum",
"arasa",
"saarabtra",
"niruvanangal",
"36",
"kandi",
"maavattaththil",
"penkal",
"thinavizhaa",
"nadaaththuthal"
] |
[
"B-LOC",
"B-LOC",
"O",
"O",
"O",
"O",
"O",
"B-MISC",
"B-LOC",
"O",
"B-MISC",
"I-MISC",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
[
"வருகை",
"முறைமையை",
"பேணலும்",
"தேவைப்படும்",
"சந்தர்ப்பங்களில்",
"அவற்றை",
"மேம்படுத்தலும்",
"."
] |
[
"varugai",
"muraimaiyai",
"penalum",
"thevaipadum",
"sandharppangalil",
"avatrai",
"mempaduthalum",
"."
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, miscellaneous entities, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
B-MISC/I-MISC means the word corresponds to the beginning of/is inside a miscellaneous entity.
You will be given a Tamil sentence along with its transliterated version for more clarification.
Do not try to answer the question! Just tag each token in the sentence. Give this as python list.
|
End of preview. Expand
in Data Studio
README.md exists but content is empty.
- Downloads last month
- 7