instructions
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100
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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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਪੱਛਮੀ",
"ਨਿਊਯਾਰਕ",
"ਨੂੰ",
"ਗ੍ਰੇਟ",
"ਲੇਕਸ",
"ਖੇਤਰ",
"ਦਾ",
"ਹਿੱਸਾ",
"ਮੰਨਿਆ",
"ਜਾਂਦਾ",
"ਹੈ",
"ਅਤੇ",
"ਓਂਟਾਰੀਓ",
"ਝੀਲ",
",",
"ਈਰੀ",
"ਝੀਲ",
"ਅਤੇ",
"ਨਿਆਗਰਾ",
"ਫਾਲਸ",
"ਦੀ",
"ਸਰਹੱਦ",
"ਹੈ",
"।"
] | [
"B-LOC",
"I-LOC",
"O",
"B-LOC",
"I-LOC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-LOC",
"I-LOC",
"O",
"B-LOC",
"I-LOC",
"O",
"B-LOC",
"I-LOC",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਇਹ",
"ਕਿਸੇ",
"ਵੀ",
"ਉਮਰ",
"ਵਰਗ",
"ਦੇ",
"ਵਿਅਕਤੀ",
"ਨੂੰ",
"ਹੋ",
"ਸਕਦੀ",
"ਹੈ",
"।"
] | [
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"[",
"ਸਫ਼ੇ",
"25",
"ਉੱਤੇ",
"ਤਸਵੀਰ",
"ਦੀ",
"ਕ੍ਰੈਡਿਟ",
"ਲਾਈਨ",
"]"
] | [
"O",
"O",
"O",
"O",
"B-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਇਹ",
"ਪੁਲਾੜ",
"ਯਾਤਰੀ",
"ਹਨ",
"-",
"ਨਾਸਾ",
"ਦੇ",
"ਐਨੀ",
"ਮੈੱਕੇਲੇਨ",
",",
"ਕੈਨੇਡਾ",
"ਦੇ",
"ਡੇਵਿਡ",
"ਸੈਂਟ",
"ਜੈਕਸ",
"ਤੇ",
"ਰੂਸ",
"ਦੇ",
"ਓਲੇਗ",
"ਕੋਨੋਨੇਂਕੋ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"O",
"O",
"O",
"B-PER",
"I-PER",
"I-PER",
"O",
"B-ORG",
"O",
"B-PER",
"I-PER",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਦੂਜੇ",
"ਪਾਸੇ",
"ਟਰਸੱਟ",
"ਦੇ",
"ਸੁਪਰਡੈਂਟ",
"ਇੰਜਨੀਅਰ",
"ਰਜੀਵ",
"ਸੇਖੜੀ",
"ਨੇ",
"ਆਖਿਆ",
"ਕਿ",
"ਤਿਰੰਗੇ",
"ਝੰਡੇ",
"ਦਾ",
"ਆਕਾਰ",
"ਛੋਟਾ",
"ਕੀਤੇ",
"ਜਾਣ",
"ਬਾਰੇ",
"ਕੋਈ",
"ਜਾਣਕਾਰੀ",
"ਨਹੀਂ",
"ਹੈ",
"।"
] | [
"O",
"O",
"B-ORG",
"O",
"O",
"O",
"B-PER",
"I-PER",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਵਿਦੇਸ਼ੀਆਂ",
"'",
"ਚ",
"ਆਸਟਰੇਲੀਆ",
"ਦੇ",
"35",
"ਜਦੋਂਕਿ",
"ਅਫ਼ਗਾਨਿਸਤਾਨ",
"ਦੇ",
"27",
"ਖਿਡਾਰਨੀਆਂ",
"ਨੇ",
"ਰਜਿਸਟਰੇਸ਼ਨ",
"ਕਰਵਾਈ",
"ਹੈ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-LOC",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਸਕਾਟਲੈਂਡ",
"ਦੇ",
"ਐਡੀਨਬਰਗ",
"ਦੀ",
"ਜੈਮੀ",
"ਡਗਲਸ",
"-",
"ਹੈਮਿਲਟਨ",
",",
"ਓ",
"ਬਰੇਡੀ",
"ਦੇ",
"ਸਾਥੀ",
"ਰੋਵਰ",
"ਲਈ",
"ਸਭ",
"ਤੋਂ",
"partਖਾ",
"ਹਿੱਸਾ",
",",
"ਤੱਤਾਂ",
"ਦੀ",
"ਨਿਰੰਤਰ",
"ਬੰਬਾਰੀ",
"ਸੀ",
"."
] | [
"B-LOC",
"O",
"B-LOC",
"O",
"B-PER",
"I-PER",
"O",
"B-LOC",
"O",
"B-PER",
"I-PER",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"66",
"(",
"3",
")",
"ਜੇਕਿਸੇ",
"ਉੱਚ",
"ਅਦਾਲਤ",
"ਦੇ",
"ਕਿਸੇ",
"ਜੱਜਕੀ",
"ਉਮਰ",
"ਬਾਬਤ",
"ਕੋਈ",
"ਸਵਾਲ",
"ਪੈਦਾ",
"ਹੋਵੇਤਾਂ",
"ਉਸ",
"ਸਵਾਲ",
"ਦਾ",
"ਫੈਸਲਾ",
"ਰਾਸ਼ਟਰਪਤੀ",
"ਦੁਆਰਾ",
"ਭਾਰਤ",
"ਦੇ",
"ਚੀਫ",
"ਜਸਟਿਸ",
"ਨਾਲ",
"ਮਸ਼ਵਰਾ",
"ਕਰਨ",
"ਪਿੱਛੋਂ",
"ਕੀਤਾ",
"ਜਾਵੇਗਾ",
"ਅਤੇ",
"ਰਾਸ਼ਟਰਪਤੀ",
"ਦਾ",
"ਫੈਸਲਾਂ",
"ਅੰਤਮ",
"ਹੋਵੇਗਾ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"B-ORG",
"I-ORG",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਕੁਝ",
"ਲੋਕਾਂ",
"ਨੇ",
"ਯਿਸੂ",
"ਦੀ",
"ਗੱਲ",
"ਸੁਣੀ",
"ਅਤੇ",
"70",
"ਈਸਵੀ",
"ਵਿਚ",
"ਯਰੂਸ਼ਲਮ",
"ਉੱਤੇ",
"ਆਈ",
"ਤਬਾਹੀ",
"ਤੋਂ",
"ਬਚ",
"ਨਿਕਲੇ",
"।",
"-",
"ਲੂਕਾ",
"21:20",
"-",
"22",
"."
] | [
"O",
"O",
"O",
"B-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-LOC",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਵਕੀਲ",
"ਪੁਨੀਤ",
"ਜ਼ਖ਼ਮੀ",
"ਨੇ",
"ਦੱਸਿਆ",
"ਕਿ",
"ਅਦਾਲਤ",
"ਨੇ",
"ਦੋਵੇਂ",
"ਪੁਲੀਸ",
"ਅਧਿਕਾਰੀਆਂ",
"ਨੂੰ",
"ਅੱਠ",
"ਫਰਵਰੀ",
"ਨੂੰ",
"ਪੇਸ਼",
"ਹੋਣ",
"ਲਈ",
"ਆਖਿਆ",
"ਹੈ",
"।"
] | [
"O",
"B-PER",
"I-PER",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਮੁਲਜ਼ਮਾਂ",
"ਦੀ",
"ਪਛਾਣ",
"ਰਾਕੇਸ਼",
"ਕੁਮਾਰ",
"ਤੇ",
"ਸੁਰਜੀਤ",
"ਸਿੰਘ",
"ਦੋਵੇਂ",
"ਵਾਸੀ",
"ਹਮੀਰਪੁਰ",
"ਅਤੇ",
"ਵਿਜੇ",
"ਕੁਮਾਰ",
"ਵਾਸੀ",
"ਚੰਬਾ",
"ਵਜੋਂ",
"ਹੋਈ",
"ਹੈ",
"।"
] | [
"O",
"O",
"O",
"B-PER",
"I-PER",
"O",
"B-PER",
"I-PER",
"O",
"O",
"B-LOC",
"O",
"B-PER",
"I-PER",
"O",
"B-LOC",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਉਸ",
"ਤੋਂ",
"ਬਾਅਦ",
"ਕਿਓਸਕ",
"ਯਾਤਰੀ",
"ਨੂੰ",
"ਰਸੀਦ",
"ਜਾਰੀ",
"ਕਰੇਗਾ",
"ਅਤੇ",
"ਸਾਮਾਨ",
"ਦੇ",
"ਦਾਅਵੇ",
"ਅਤੇ",
"ਬਾਹਰ",
"ਨਿਕਲਣ",
"ਦਾ",
"ਨਿਰਦੇਸ਼",
"ਦੇਵੇਗਾ",
"।"
] | [
"O",
"O",
"O",
"B-ORG",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਮੋਦੀ",
"ਨੇ",
"ਨੇਪਾਲ",
"ਦੇ",
"ਪ੍ਰਧਾਨ",
"ਮੰਤਰੀ",
"ਨਾਲ",
"ਕੀਤੀ",
"ਮੁਲਾਕਾਤ"
] | [
"B-PER",
"O",
"B-LOC",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਸੁਲਤਾਨਪੁਰ",
"ਲੋਧੀ",
"ਦੇ",
"ਵਿਧਾਇਕ",
"ਨਵਤੇਜ",
"ਸਿੰਘ",
"ਚੀਮਾ",
"ਨੇ",
"ਸ੍ਰੀ",
"ਗੁਰੂ",
"ਨਾਨਕ",
"ਦੇਵ",
"ਜੀ",
"ਦੇ",
"550ਵੇਂ",
"ਪ੍ਰਕਾਸ਼",
"ਪੁਰਬ",
"ਦੇ",
"ਮੱਦੇਨਜ਼ਰ",
"ਚੰਡੀਗੜ•",
"ਅਤੇ",
"ਨਵੀਂ",
"ਦਿੱਲੀ",
"ਤੋਂ",
"ਪਵਿੱਤਰ",
"ਨਗਰ",
"ਸੁਲਤਾਨਪੁਰ",
"ਲੋਧੀ",
"ਲਈ",
"ਵਿਸ਼ੇਸ਼",
"ਵੌਲਵੋ",
"ਬੱਸਾਂ",
"ਚਲਾਉਣ",
"ਦੀ",
"ਮੰਗ",
"ਕੀਤੀ",
"।"
] | [
"B-PER",
"I-PER",
"I-PER",
"I-PER",
"I-PER",
"I-PER",
"I-PER",
"O",
"B-PER",
"I-PER",
"I-PER",
"I-PER",
"I-PER",
"O",
"O",
"B-ORG",
"O",
"O",
"O",
"B-LOC",
"O",
"B-LOC",
"I-LOC",
"O",
"O",
"O",
"B-LOC",
"I-LOC",
"O",
"O",
"B-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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਐਲਬਮ",
"ਵਿੱਚ",
"ਇੰਪੋਰਟ",
"ਕਰਨ",
"ਵਾਸਤੇ",
"ਫੋਲਡਰ",
"ਚੁਣੋ"
] | [
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਸਾਇੰਸ",
"ਓਲੰਪਿਆਡ",
"ਫ਼ਾਊਂਡੇਸ਼ਨ",
",",
"ਐਸਓਐਫ਼",
",",
"ਨੇ",
"ਰਾਜਧਾਨੀ",
"ਦਿੱਲੀ",
"ਵਿਚ",
"2018",
"-",
"19",
"ਵਿਚ",
"ਬਿਹਤਰੀਨ",
"ਪ੍ਰਦਰਸ਼ਨ",
"ਕਰਨ",
"ਵਾਲੇ",
"ਇੰਟਰਨੈਸ਼ਨਲ",
"ਓਲੰਪਿਆਡ",
"ਦੇ",
"ਜੇਤੂ",
"ਵਿਦਿਆਰਥੀਆਂ",
"ਤੇ",
"ਵਿਦਿਆਰਥਣਾਂ",
"ਨੂੰ",
"ਸਨਮਾਨਿਤ",
"ਕੀਤਾ",
"।"
] | [
"B-ORG",
"I-ORG",
"I-ORG",
"O",
"O",
"O",
"O",
"B-LOC",
"I-LOC",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਅਮਰੀਕਾ",
"ਨੇ",
"ਇਨ੍ਹਾਂ",
"ਹਮਲਿਆਂ",
"ਲਈ",
"ਈਰਾਨ",
"ਨੂੰ",
"ਜ਼ਿੰਮੇਵਾਰ",
"ਠਹਿਰਾਇਆ",
"ਹੈ",
"।"
] | [
"B-LOC",
"O",
"O",
"O",
"O",
"B-LOC",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਇਸ",
"ਮੌਕੇ",
"ਪੰਜਾਬ",
"ਸਰਕਾਰ",
"ਵਿਰੁੱਧ",
"ਨਾਅਰੇਬਾਜ਼ੀ",
"ਵੀ",
"ਕੀਤੀ",
"ਗਈ",
"।"
] | [
"O",
"O",
"B-LOC",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਮੁੰਬਈ",
"ਦੇ",
"ਕਈ",
"ਹਿੱਸਿਆਂ",
"'",
"ਚ",
"ਬਾਰਸ਼",
"ਨਾਲ",
"ਪਾਣੀ",
"ਭਰ",
"ਗਿਆ",
"।",
"."
] | [
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਹਿੰਦੁਸਤਾਨ",
",",
"ਚੰਡੀਗੜ੍ਹ"
] | [
"B-LOC",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਅਟਾਰਨੀ",
"ਜਨਰਲ",
"ਜੀ",
".",
"ਈ",
".",
"ਵਾਹਨਵਤੀ",
"ਬੈਂਚ",
"ਦੀ",
"ਸਹਾਇਤਾ",
"ਕਰਨਗੇ",
"।"
] | [
"O",
"O",
"B-PER",
"I-PER",
"I-PER",
"I-PER",
"I-PER",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਸ੍ਰੀਮਾਨ",
"ਨੰਬਰਵਰੂ",
"ਚਾਂਟੀਬੂ",
"ਕਾਉਂਸਲ"
] | [
"B-PER",
"I-PER",
"I-PER",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਦੇਸ਼",
"ਭਰ",
"ਵਿੱਚ",
"ਸਾਰੇ",
"ਸੰਸਥਾਨਾਂ",
"ਨੂੰ",
"ਕਵਰ",
"ਕਰਨ",
"ਵਾਲੇ",
"120",
"ਤੋਂ",
"ਵੀ",
"ਵੱਧ",
"ਟੈਕਨੋਲੋਜੀ",
"ਬਿਜ਼ਨਸ",
"ਇਨਕਿਊਬੇਟਰ",
"ਹਨ",
"।",
"'"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਉਸ",
"ਵੇਲੇ",
"ਲਾਲੂ",
"ਯਾਦਵ",
"ਬਿਹਾਰ",
"ਦੇ",
"ਮੁੱਖ",
"ਮੰਤਰੀ",
"ਸਨ",
"।"
] | [
"O",
"O",
"B-PER",
"I-PER",
"B-LOC",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਅੰਨਾ",
"ਹਜ਼ਾਰੇ",
"ਵੱਲੋਂ",
"ਦਿੱਲੀ",
"'",
"ਚ",
"ਬੇਮਿਆਦੀ",
"ਭੁੱਖ",
"ਹੜਤਾਲ",
"ਸ਼ੁਰੂ"
] | [
"B-PER",
"I-PER",
"O",
"B-LOC",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਕਪਤਾਨ",
"ਰਾਣੀ",
"ਤੋਂ",
"ਇਲਾਵਾ",
"ਗੁਰਜੀਤ",
"ਕੌਰ",
",",
"ਲਾਲਰੇਮਸਿਆਮੀ",
"ਤੇ",
"ਗੋਲਕੀਪਰ",
"ਸਵਿਤਾ",
"ਦੇ",
"ਪ੍ਰਦਰਸ਼ਨ",
"'",
"ਤੇ",
"ਟੀਮ",
"ਜਿੱਤ",
"ਨਿਰਭਰ",
"ਕਰੇਗੀ",
"।"
] | [
"O",
"B-PER",
"O",
"O",
"B-PER",
"I-PER",
"O",
"B-PER",
"O",
"B-PER",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਪ੍ਰਧਾਨ",
"ਮੰਤਰੀ",
"ਨੇ",
"ਰਾਸ਼ਟਰਪਤੀ",
"ਮੂਨ",
"ਵਲੋਂ",
"ਸ੍ਰੀ",
"ਚੁੰਗ",
"ਨੂੰ",
"ਵਿਸ਼ੇਸ਼",
"ਦੂਤ",
"ਵਜੋਂ",
"ਭੇਜੇ",
"ਜਾਣ",
"ਦੀ",
"ਕਾਰਵਾਈ",
"ਪ੍ਰਤੀ",
"ਪ੍ਰਸ਼ੰਸਾ",
"ਦਾ",
"ਪ੍ਰਗਟਾਵਾ",
"ਕੀਤਾ",
"।"
] | [
"O",
"O",
"O",
"O",
"B-PER",
"O",
"O",
"B-PER",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਪੁਲਿਸ",
"ਨੇ",
"ਅਣਪਛਾਤੇ",
"ਲੁਟੇਰਿਆਂ",
"ਖ਼ਿਲਾਫ਼",
"ਮੁਕੱਦਮਾ",
"ਦਰਜ",
"ਕਰ",
"ਲਿਆ",
"।"
] | [
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਸ੍ਰੀ",
"ਕੇਜਰੀਵਾਲ",
"ਨੇ",
"ਵਫ਼ਦ",
"ਨੂੰ",
"ਭਰੋਸਾ",
"ਦਿਵਾਇਆ",
"ਕਿ",
"ਉਹ",
"ਪੰਜਾਬ",
"ਵਿੱਚ",
"ਪ੍ਰਾਈਵੇਟ",
"ਯੂਨੀਵਰਸਿਟੀਆਂ",
"ਲਈ",
"ਰੈਗੂਲੇਟਰੀ",
"ਬੋਰਡ",
"ਬਣਾਉਣ",
"ਦੇ",
"ਮੁੱਦੇ",
"ਨੂੰ",
"ਕੌਮੀ",
"ਪੱਧਰ",
"'",
"ਤੇ",
"ਉਠਾਉਣਗੇ",
"।"
] | [
"O",
"B-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਦਿੱਲੀ",
"ਨੇੜੇ",
"-",
"ਤੇੜੇ",
"ਦੇ",
"ਇਲਾਕਿਆਂ",
"ਵਿਚ",
"ਤੇਜ਼ੀ",
"ਨਾਲ",
"ਆਰਥਿਕ",
"ਵਿਕਾਸ",
"ਹੋਇਆ",
"ਹੈ",
"।"
] | [
"B-LOC",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਕੌਣ",
"ਹੈ",
"ਗੁਰਸ਼ਰਨਬੀਰ",
"ਸਿੰਘ",
"?"
] | [
"O",
"O",
"B-PER",
"I-PER",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਕੌਮੀ",
"ਝੰਡੇ",
"ਦਾ",
"ਭਾਜਪਾ",
"ਪ੍ਰਧਾਨ",
"ਅਮਿਤ",
"ਸ਼ਾਹ",
"ਹੱਥੋਂ",
"ਹੋਇਆ",
"ਨਿਰਾਦਰ"
] | [
"O",
"O",
"O",
"B-ORG",
"O",
"B-PER",
"I-PER",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਇਸ",
"ਦਿਸ਼ਾ",
"ਵਿੱਚ",
"ਪਹਿਲਾ",
"ਕਦਮ",
"ਵਧਾਉਂਦਿਆਂ",
"ਗੁਰੂ",
"ਨਾਨਕ",
"ਦੇਵ",
"ਜੀ",
"ਦੇ",
"550ਵੇਂ",
"ਆਗਮਨ",
"ਪੁਰਬ",
"ਮੌਕੇ",
"ਡੇਰਾ",
"ਬਾਬਾ",
"ਨਾਨਕ",
"ਵਾਲੀ",
"ਸਰਹੱਦ",
"'",
"ਤੇ",
"ਬੰਦਿਸ਼ਾਂ",
"ਹਟਾ",
"ਦੇਣੀਆਂ",
"ਚਾਹੀਦੀਆਂ",
"ਹਨ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"I-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"I-PER",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਜਿਸ",
"ਅਨੁਸਾਰ",
"ਭਗਤ",
"ਸਿੰਘ",
",",
"ਸੁਖਦੇਵ",
"ਅਤੇ",
"ਰਾਜਗੁਰੂ",
"ਨੂੰ",
"ਫਾਂਸੀ",
"।"
] | [
"O",
"O",
"B-PER",
"I-PER",
"O",
"B-PER",
"O",
"B-PER",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਬਲੂਮਬਰਗ",
"ਆਪਣੀ",
"ਯੋਜਨਾ",
"ਦੀ",
"ਕੀਮਤ",
"ਦੀ",
"ਰੂਪ",
"ਰੇਖਾ",
"ਨਹੀਂ",
"ਕਰਦਾ",
"."
] | [
"B-PER",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਛੇਵਾਂ",
"ਦਰਜਾ",
"ਪ੍ਰਜਨੇਸ਼",
"ਨੇ",
"ਪੁਰਸ਼",
"ਸਿੰਗਲਜ਼",
"ਦੇ",
"ਦੂਜੇ",
"ਗੇੜ",
"ਵਿਚ",
"ਸਪੇਨ",
"ਦੇ",
"ਐਨਰੀਕੇ",
"ਲੋਪੇਜ",
"ਪੇਰੇਜ",
"ਨੂੰ",
"6",
"-",
"3,6",
"-",
"3",
"ਨਾਲ",
"ਹਰਾ",
"ਦਿੱਤਾ",
"ਹੈ",
"।"
] | [
"O",
"O",
"B-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"I-PER",
"I-PER",
"I-PER",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਪੰਜਾਬ",
"ਵਿਚ",
"ਕੁੱਲ",
"84",
"ਲਗਜ਼ਰੀ",
"ਬੱਸ",
"ਪਰਮਿਟਾਂ",
"ਵਿੱਚੋਂ",
"ਘੱਟੋ",
"-",
"ਘੱਟ",
"52",
"ਬਾਦਲੀਆਂ",
"ਦੀ",
"ਸਰਪ੍ਰਸਤੀ",
"ਵਾਲੀਆਂ",
"ਟਰਾਂਸਪੋਰਟ",
"ਕੰਪਨੀਆਂ",
"ਕੋਲ",
"ਹਨ",
"।"
] | [
"B-LOC",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਆਲ",
"ਇੰਡੀਆ",
"ਸਿੱਖ",
"ਸਟੂਡੈਂਟਸ",
"ਫ਼ੈਡਰੇਸ਼ਨ",
"ਦੇ",
"ਪ੍ਰਧਾਨ",
"ਭਾਈ",
"ਮਨਜੀਤ",
"ਸਿੰਘ",
"ਭੋਮਾ",
",",
"ਮੁੱਖ",
"ਸਲਾਹਕਾਰ",
"ਸ",
"."
] | [
"B-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"O",
"O",
"O",
"B-PER",
"I-PER",
"I-PER",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਉਹਨਾਂ",
"ਨੇ",
"ਇਸ",
"ਸਾਰੀ",
"ਘਟਨਾ",
"ਦੀ",
"ਨਿਆਂਇਕ",
"ਜਾਂਚ",
"ਦੀ",
"ਮੰਗ",
"ਕੀਤੀ",
"ਹੈ",
"।"
] | [
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"\"",
"ਵੀਡੀਓ",
"ਸ਼ੇਅਰ",
"ਕਰਦਿਆਂ",
"ਅਕਸ਼ੈ",
"ਕੁਮਾਰ",
"ਨੇ",
"ਕੈਪਸ਼ਨ",
"'",
"ਚ",
"ਲਿਖਿਆ",
",",
"\"",
"\"",
"ਸਵੱਛ",
"ਭਾਰਤ",
"ਬ੍ਰਾਂਡ",
"ਦੀ",
"ਸਭ",
"ਤੋਂ",
"ਵੱਡੀ",
"ਅੰਬੈਸਡਰ",
"ਸੂਰਿਆਵੰਸ਼ੀ",
"ਦੇ",
"ਸੈੱਟ",
"'",
"ਤੇ",
"।",
"\""
] | [
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-PER",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਪੰਜਾਬ",
"ਸਰਕਾਰ",
"ਦੇ",
"ਫੈਸਲੇ",
"ਅਨੁਸਾਰ",
"ਛੱਤਬੀੜ",
"ਚਿੜੀਆਘਰ",
"ਆਉਣ",
"ਵਾਲੇ",
"ਸੈਲਾਨੀਆਂ",
",",
"ਕਰਮਚਾਰੀਆਂ",
"ਅਤੇ",
"ਜਾਨਵਰਾਂ",
"ਦੀ",
"ਸੁਰੱਖਿਆ",
"ਨੂੰ",
"ਧਿਆਨ",
"ਵਿੱਚ",
"ਰੱਖਦਿਆਂ",
"ਕੋਵਿਡ",
"-",
"19",
"ਸਬੰਧੀ",
"ਪ੍ਰੋਟੋਕੋਲਾਂ",
"ਨਾਲ",
"10/12/2020",
"ਨੂੰ",
"ਮੁੜ",
"ਖੋਲ",
"ਦਿੱਤਾ",
"ਗਿਆ",
"ਹੈ",
"।"
] | [
"B-ORG",
"O",
"O",
"O",
"O",
"B-LOC",
"I-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"
] |
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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਇੱਥੇ",
"ਉਹ",
"ਪ੍ਰਧਾਨਮੰਤਰੀ",
"ਨਰੇਂਦਰ",
"ਮੋਦੀ",
"ਅਤੇ",
"ਵਿਦੇਸ਼",
"ਮੰਤਰੀ",
"ਸੁਸ਼ਮਾ",
"ਸਵਰਾਜ",
"ਨਾਲ",
"ਮੁਲਾਕਾਤ",
"ਕਰਨਗੇ",
"।"
] | [
"O",
"O",
"O",
"B-PER",
"I-PER",
"O",
"O",
"O",
"B-PER",
"I-PER",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਮਾਨ",
"ਨੇ",
"ਕਿਹਾ",
"ਕਿ",
"ਜੇਕਰ",
"ਰਾਣਾ",
"ਗੁਰਜੀਤ",
"ਨੂੰ",
"ਬਰਖਾਸਤ",
"ਨਾ",
"ਕੀਤਾ",
"ਗਿਆ",
"ਤਾਂ",
"ਪੰਜਾਬ",
"ਦੀਆਂ",
"ਸੜਕਾਂ",
"'",
"ਤੇ",
"ਸਰਕਾਰ",
"ਖਿਲਾਫ",
"ਧਰਨੇ",
"ਲਾਵਾਂਗੇ",
"।"
] | [
"B-PER",
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"B-LOC",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਇੱਕ",
"ਗੂੜ੍ਹਾ",
"ਸਾਫ਼",
"-",
"ਦਿੱਖ",
"ਥੀਮ"
] | [
"O",
"O",
"O",
"O",
"B-ORG",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਭਾਰਤੀ",
"ਮੂਲ",
"ਦੇ",
"ਕਰਨਦੀਪ",
"ਸਿੰਘ",
"ਨੂੰ",
"ਫੇਸਬੁੱਕ",
"'",
"ਵਰਕਪਲੇਸ",
"'",
"ਦਾ",
"ਮੁਖੀ",
"ਥਾਪਿਆ"
] | [
"O",
"O",
"O",
"B-PER",
"I-PER",
"O",
"B-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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਰਾਜ",
"ਸਭਾ",
"ਵਿਚ",
"ਸੰਬੋਧਨ",
"ਕਰਦੇ",
"ਹੋਏ",
"ਪ੍ਰਧਾਨ",
"ਮੰਤਰੀ",
"ਨਰਿੰਦਰ",
"ਮੋਦੀ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਉਸ",
"ਦਾ",
"ਪਤੀ",
"ਗੁੜਗਾਓਂ",
"ਦੀ",
"ਇਕ",
"ਕੰਪਨੀ",
"ਵਿੱਚ",
"ਮੁਲਾਜ਼ਮ",
"ਹੈ",
"।"
] | [
"O",
"O",
"O",
"B-LOC",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਇਸ",
"ਧਮਾਕੇ",
"ਦੀ",
"ਜ਼ਿੰਮੇਵਾਰੀ",
"ਤਾਲਿਬਾਨੀ",
"ਅੱਤਵਾਦੀ",
"ਸਮੂਹ",
"ਨੇ",
"ਲਈ",
"ਹੈ",
"।"
] | [
"O",
"O",
"O",
"O",
"B-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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਉਨ੍ਹਾਂ",
"ਦੀ",
"ਨਿਯੁਕਤੀ",
"ਬੀਤੇ",
"ਹਫਤੇ",
"ਰਾਸ਼ਟਰਪਤੀ",
"ਪ੍ਰਣਬ",
"ਮੁਖਰਜੀ",
"ਵੱਲੋਂ",
"ਕੀਤੀ",
"ਗਈ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਸਾਇੰਸ",
"ਖੋਜ",
"ਪੱਤਰਕਾ",
"'",
"ਚ",
"ਪ੍ਰਕਾਸ਼ਿਤ",
"ਇਹ",
"ਅਧਿਐਨ",
"ਵਿਗਿਆਨੀਆਂ",
"ਨੂੰ",
"ਇਹ",
"ਸਮਝਣ",
"ਵਿੱਚ",
"ਮਦਦ",
"ਕਰੇਗਾ",
"ਕਿ",
"ਧਰਤੀ",
"ਕਿਸ",
"ਤਰ੍ਹਾਂ",
"ਬਣੀ",
",",
"ਇਸ",
"ਦੀ",
"ਮੌਜੂਦਾ",
"ਸੰਰਚਨਾ",
"ਅਤੇ",
"ਅੰਤਰਿਕ",
"ਕਰਮ",
"ਕੀ",
"ਹੈ",
"ਅਤੇ",
"ਆਵਰਿਤ",
"ਚੱਟਾਨਾਂ",
"ਵਿੱਚ",
"ਕਿੰਨਾ",
"ਪਾਣੀ",
"ਹੈ",
"।"
] | [
"B-ORG",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਮੁਲਜ਼ਮ",
"ਖਿਲਾਫ਼",
"ਧਾਰਾ",
"379,411",
"ਦੇ",
"ਅਧੀਨ",
"ਮਾਮਲਾ",
"ਦਰਜ",
"ਕਰਕੇ",
"ਕਾਰਵਾਈ",
"ਸ਼ੁਰੂ",
"ਕਰ",
"ਦਿੱਤੀ",
"ਹੈ",
"।"
] | [
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਸ਼ਰਧਾ",
"ਨਾਲ",
"ਮਨਾਈ",
"ਦੁਰਗਾ",
"ਅਸ਼ਟਮੀ"
] | [
"O",
"O",
"O",
"B-PER",
"I-PER"
] |
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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਮੁੱਖ",
"ਮੰਤਰੀ",
"ਨੇ",
"ਕਿਹਾ",
"ਕਿ",
"ਰਣਜੀਤ",
"ਸਿੰਘ",
"ਕਮਿਸ਼ਨ",
"ਦੀ",
"ਸਥਾਪਨਾ",
"ਅਪਰੈਲ",
"2017",
"ਵਿੱਚ",
"ਕੀਤੀ",
"ਗਈ",
"ਸੀ",
"ਅਤੇ",
"ਇਸ",
"ਨੇ",
"ਬਰਗਾੜੀ",
"ਅਤੇ",
"ਬਹਿਬਲ",
"ਕਲਾਂ",
"ਕਾਂਡ",
"ਦੇ",
"ਨਾਲ",
"ਨਾਲ",
"ਗੁਰੂ",
"ਗ੍ਰੰਥ",
"ਸਾਹਿਬ",
"ਅਤੇ",
"ਹੋਰ",
"ਧਾਰਮਿਕ",
"ਗ੍ਰੰਥਾਂ",
"ਦੀ",
"ਬੇਅਦਬੀ",
"ਦੇ",
"ਸਾਰੇ",
"ਮਾਮਲਿਆਂ",
"ਦੀ",
"ਡੂੰਘਾਈ",
"ਵਿੱਚ",
"ਜਾਂਚ",
"ਕੀਤੀ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"B-ORG",
"I-ORG",
"I-ORG",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-LOC",
"I-LOC",
"I-LOC",
"O",
"O",
"O",
"B-PER",
"I-PER",
"I-PER",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਹੁਣ",
"ਤੱਕ",
"25",
"ਪ੍ਰਗਤੀ",
"ਸੰਵਾਦਾਂ",
"ਵਿੱਚ",
"10",
"ਲੱਖ",
"ਕਰੋੜ",
"ਰੁਪਏ",
"ਦੇ",
"ਨਿਵੇਸ਼",
"ਵਾਲੇ",
"227",
"ਪ੍ਰੋਜੈਕਟਾਂ",
"ਦੀ",
"ਸਮੀਖਿਆ",
"ਕੀਤੀ",
"ਜਾ",
"ਚੁੱਕੀ",
"ਹੈ",
"।"
] | [
"O",
"O",
"O",
"B-ORG",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਊਰਜਾ",
"ਦੇ",
"ਸੰਸਾਰ",
"ਵਿਚ",
"ਕੋਈ",
"ਅਸਲ",
",",
"ਸਖ਼ਤ",
"ਸੀਮਾਵਾਂ",
"ਨਹੀਂ",
"ਹਨ",
".",
"ਇਸੇ",
"ਕਰਕੇ",
"ਕਿਸੇ",
"ਵੀ",
"ਜਗ੍ਹਾ",
"ਵਿਚ",
"ਚੰਗੀ",
"ਫੈਂਗ",
"ਸ਼ੂਈ",
"ਬਹੁਤ",
"ਮਹੱਤਵਪੂਰਨ",
"ਹੈ",
"."
] | [
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਹਰਭਜਨ",
"ਨੇ",
"ਕਿਹਾ",
"ਕਿ",
"ਜੇ",
"ਤੁਸੀਂ",
"ਦੇਖੋਗੇ",
"ਤਾਂ",
"ਗੁੱਟ",
"ਦੇ",
"ਸਪਿੰਨਰ",
"ਫ਼ਾਇਦੇ",
"ਦੀ",
"ਸਥਿਤੀ",
"ਵਿਚ",
"ਹਨ",
"ਕਿਉਂਕਿ",
"ਗ਼ੁਲਾਬੀ",
"ਗੇਂਦ",
"ਵਿਚ",
"ਸੀਮ",
"ਨੂੰ",
"ਦੇਖਣਾ",
"(",
"ਕਾਲੇ",
"ਧਾਗੇ",
"ਕਾਰਨ",
")",
"ਕਾਫੀ",
"ਮੁਸ਼ਕਲ",
"ਹੁੰਦਾ",
"ਹੈ",
"।"
] | [
"B-PER",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਰਾਮਬਨ",
"ਵਿਚ",
"ਮਰਦਾਂ",
"ਦੀ",
"ਸਾਖਰਤਾ",
"90.42",
"%",
"ਹੈ",
"ਜਦਕਿ",
"ਔਰਤਾਂ",
"ਦੀ",
"ਸਾਖਰਤਾ",
"ਦਰ",
"73.52",
"%",
"ਹੈ",
"।"
] | [
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਫ਼ਿਲਮ",
"ਵਿੱਚ",
"ਅਕਸ਼ੈ",
"ਕੁਮਾਰ",
",",
"ਰਿਤੇਸ਼",
"ਦੇਸ਼ਮੁਖ",
"ਅਤੇ",
"ਅਭਿਸ਼ੇਕ",
"ਬੱਚਨ",
"ਮੁੱਖ",
"ਨਾਇਕ",
"ਹਨ",
"।"
] | [
"O",
"O",
"B-PER",
"I-PER",
"O",
"B-PER",
"I-PER",
"O",
"B-PER",
"I-PER",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"7",
"ਕਿਲੋਮੀਟਰ",
"ਲੰਬਾ",
"ਲਾਂਘਾ",
"ਗੁਰਦਾਸਪੁਰ",
"ਸਥਿਤ",
"ਡੇਰਾ",
"ਬਾਬਾ",
"ਨਾਨਕ",
"ਤੇ",
"ਪਾਕਿਸਤਾਨ",
"ਦੇ",
"ਕਰਤਾਰਪੁਰ",
"ਸਥਿਤ",
"ਗੁਰਦੁਆਰਾ",
"ਦਰਬਾਰ",
"ਸਾਹਿਬ",
"ਨੂੰ",
"ਜੋੜਦਾ",
"ਹੈ",
"।"
] | [
"O",
"O",
"O",
"O",
"B-LOC",
"O",
"B-LOC",
"I-LOC",
"O",
"O",
"B-LOC",
"O",
"B-LOC",
"I-LOC",
"I-LOC",
"I-LOC",
"I-LOC",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਸਤਪ੍ਰੀਤ",
"ਕੌਰ",
",",
"ਡਾ",
"."
] | [
"B-PER",
"I-PER",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਅਧਿਕਾਰੀ",
"ਨੇ",
"ਦੱਸਿਆ",
"ਕਿ",
"ਅਣਪਛਾਤੇ",
"ਲੋਕਾਂ",
"ਨੇ",
"ਬੰਬ",
"ਸੁੱਟਿਆ",
"ਅਤੇ",
"ਗੋਲੀਆਂ",
"ਚਲਾਈਆਂ",
",",
"ਜਿਸ",
"ਵਿੱਚ",
"ਦਾਰਜੀਲਿੰਗ",
"ਲੋਕ",
"ਸਭਾ",
"ਖੇਤਰ",
"ਦੇ",
"ਚੋਪਰਾ",
"ਇਲਾਕੇ",
"ਵਿੱਚ",
"ਇੱਕ",
"ਵਿਦਿਆਰਥੀ",
"ਜ਼ਖ਼ਮੀ",
"ਹੋ",
"ਗਿਆ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-LOC",
"O",
"O",
"O",
"O",
"B-LOC",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਇਲਾਹਾਬਾਦ",
"ਤੋਂ",
"ਨਿਕਲਦੇ",
"'",
"ਸਵਰਾਜ",
"'",
"ਅਖ਼ਬਾਰ",
"ਨੇ",
"ਲੜਾਈ",
"ਨਹੀਂ",
"ਛੱਡੀ",
"ਸੀ",
"।"
] | [
"B-LOC",
"O",
"O",
"O",
"B-ORG",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਗਡਕਰੀ",
"ਨੇ",
"ਅਮਰੀਕੀ",
"ਆਵਾਜਾਈ",
"ਸਕੱਤਰ",
"ਐਂਥਨੀ",
"ਫਾਕਸ",
"ਨਾਲ",
"ਮੁਲਾਕਾਤ",
"ਅਤੇ",
"ਅਮਰੀਕੀ",
"ਕਾਰੋਬਾਰੀ",
"ਸਮੁਾਇਦ",
"ਸਮੇਤ",
"ਦਿਨ",
"ਭਰ",
"ਚਲੀਆਂ",
"ਹੋਰ",
"ਬੈਠਕਾਂ",
"ਤੋਂ",
"ਬਾਅਦ",
"ਭਾਰਤੀ",
"ਪੱਤਰਕਾਰਾਂ",
"ਨੂੰ",
"ਸੰਬੋਧਨ",
"ਕਰਦੇ",
"ਹੋਏ",
"ਕਿਹਾ",
",",
"'",
"ਸੜਕ",
"ਸੁਰੱਖਿਆ",
"ਸਾਡੀ",
"ਸਰਕਾਰ",
"ਦੀ",
"ਉੱਚ",
"ਤਰਜੀਹ",
"ਹੈ",
"।"
] | [
"B-PER",
"O",
"B-LOC",
"O",
"O",
"B-PER",
"I-PER",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਨਿਊਯਾਰਕਃ",
"ਪ੍ਰਧਾਨ",
"ਮੰਤਰੀ",
"ਨਰਿੰਦਰ",
"ਮੋਦੀ",
"ਨੂੰ",
"ਸਵੱਛ",
"ਭਾਰਤ",
"ਮੁਹਿੰਮ",
"ਲਈ",
"ਬਿੱਲ",
"ਤੇ",
"ਮੇਲਿੰਡਾ",
"ਗੇਟਸ",
"ਫਾਊਂਡੇਸ਼ਨ",
"ਵੱਲੋਂ",
"'",
"ਗਲੋਬਲ",
"ਗੋਲਕੀਪਰ",
"ਅਵਾਰਡ",
"'",
"ਅਵਾਰਡ",
"ਮਿਲਿਆ",
"ਹੈ",
"।"
] | [
"O",
"O",
"O",
"B-PER",
"I-PER",
"O",
"O",
"O",
"O",
"O",
"B-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"I-LOC",
"I-LOC",
"I-LOC",
"I-LOC",
"I-LOC",
"I-LOC",
"I-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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਅਦਾਲਤ",
"ਨੇ",
"ਮੰਨਿਆ",
"ਕਿ",
"ਤਾਹਿਰ",
"ਮਰਚੈਂਟ",
"ਮੁੱਖ",
"ਸਾਜ਼ਿਸ਼ਘਾੜਿਆਂ",
"ਵਿੱਚੋਂ",
"ਸੀ",
"।"
] | [
"O",
"O",
"O",
"O",
"B-PER",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਇਹਨਾਂ",
"ਚੋਂ",
"ਇੱਕ",
"ਅਧਿਐਨ",
"ਵਿੱਚ",
"ਇਹ",
"ਵੀ",
"ਪਾਇਆ",
"ਗਿਆ",
"ਕਿ",
"ਉੱਤਰੀ",
"ਚੀਨ",
"ਚ",
"2.5",
"ਮਾਈਕਰੋਨ",
"ਤੋਂ",
"ਘੱਟ",
"ਅਕਾਰ",
"ਵਾਲੇ",
"ਕਣਾਂ",
"ਵਿੱਚ",
"35",
"ਪ੍ਰਤੀਸ਼ਤ",
"ਤੱਕ",
"ਕਮੀ",
"ਆਈ",
"ਹੈ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਕ੍ਰੋਧ",
"ਦੇ",
"ਮਾੜੇ",
"ਅਸਰਾਂ",
"ਬਾਰੇ",
"ਆਪਣੇ",
"ਚੇਲਿਆਂ",
"ਨੂੰ",
"ਚੇਤਾਵਨੀ",
"ਦੇਣ",
"ਤੋਂ",
"ਬਾਅਦ",
"ਯਿਸੂ",
"ਨੇ",
"ਕਿਹੜੀ",
"ਸਲਾਹ",
"ਦਿੱਤੀ",
"?"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-PER",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਉਸ",
"ਨੇ",
"ਬੜੇ",
"ਜੋਰ",
"ਨਾਲ",
"ਨਾਲਦੇ",
"ਮਾਰਕਸਵਾਦੀ",
"ਕ੍ਰਿਸਟੋਫਰ",
"ਕੌਡਵਿਲ",
"ਦੇ",
"ਸੁਹਜ",
"ਸਿਧਾਂਤਾਂ",
"ਦਾ",
"ਵਿਰੋਧ",
"ਕੀਤਾ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"I-PER",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਇਮਰਾਨ",
"ਨੇ",
"ਕਸ਼ਮੀਰ",
"ਮੁੱਦੇ",
"ਦੇ",
"ਹੱਲ",
"ਲਈ",
"ਸੱਦਾ",
"ਦਿੱਤਾ"
] | [
"B-PER",
"O",
"B-LOC",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਸਪੀਕਰ",
"ਓਮ",
"ਬਿਰਲਾ",
"ਨੇ",
"ਕਿਹਾ",
"ਕਿ",
"ਸੋਸ਼ਲ",
"ਮੀਡੀਆ",
"ਨਾਲ",
"ਜੁੜੇ",
"ਮਸਲਿਆਂ",
"'",
"ਤੇ",
"ਗੰਭੀਰ",
"ਚਰਚਾ",
"ਹੋਣੀ",
"ਚਾਹੀਦੀ",
"ਹੈ",
"।"
] | [
"O",
"B-PER",
"I-PER",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਅਦਿਤਿਆ",
"ਸ਼ਰਮਾ"
] | [
"B-PER",
"I-PER"
] |
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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਚੀਨ",
"ਨੇ",
"ਅਜਿਹਾ",
"ਅੜੀਅਲ",
"ਹਮਲਾਵਰ",
"ਰਵੱਈਆ",
"ਦੱਖਣੀ",
"ਕੋਰੀਆ",
",",
"ਜਪਾਨ",
",",
"ਤਾਈਵਾਨ",
",",
"ਵੀਅਤਨਾਮ",
",",
"ਫਿਲਪੀਨਜ਼",
",",
"ਮਲੇਸ਼ੀਆ",
",",
"ਬਰੂਨਈ",
"ਅਤੇ",
"ਇੰਡੋਨੇਸ਼ੀਆ",
"ਨਾਲ",
"ਲੱਗਦੀਆਂ",
"ਆਪਣੀਆਂ",
"ਸਮੁੰਦਰੀ",
"ਸਰਹੱਦਾਂ",
"ਬਾਰੇ",
"ਅਪਣਾਇਆ",
"ਹੈ",
"।"
] | [
"B-LOC",
"O",
"O",
"O",
"O",
"O",
"B-LOC",
"I-LOC",
"O",
"B-LOC",
"O",
"B-LOC",
"O",
"B-LOC",
"O",
"B-LOC",
"O",
"B-LOC",
"O",
"B-LOC",
"O",
"B-LOC",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਬਾਕਸ",
"ਆਫ਼ਿਸ",
"'",
"ਤੇ",
"ਫ਼ਿਲਮ",
"ਚੰਗੀ",
"ਸਾਬਤ",
"ਹੋਈ",
"।"
] | [
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਗਲੋਬਲ",
"ਵਾਰਮਿੰਗ",
"-",
"ਕੀ",
"ਧਰਤੀ",
"ਖ਼ਤਰੇ",
"ਵਿਚ",
"ਹੈ",
"?"
] | [
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਰਾਜਸਥਾਨ",
"ਨੇ",
"ਟਾਸ",
"ਜਿੱਤ",
"ਕੇ",
"ਪਹਿਲਾਂ",
"ਗੇਂਦਬਾਜ਼ੀ",
"ਕਰਨ",
"ਦਾ",
"ਫੈਸਲਾ",
"ਕੀਤਾ",
"ਸੀ",
"।"
] | [
"B-ORG",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਪੌਲੁਸ",
"ਨੇ",
"ਕਿਹਾ",
"ਕਿ",
"ਪਿਆਰ",
"ਤੋਂ",
"ਬਿਨਾਂ",
"ਉਹ",
"\"",
"ਕੁਝ",
"ਵੀ",
"ਨਹੀਂ",
"।",
"\""
] | [
"B-PER",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਮੰਡੀ",
"ਗੋਬਿੰਦਗੜ੍ਹ",
",",
"28",
"ਫਰਵਰੀ"
] | [
"B-LOC",
"I-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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਰਿਤਿਕ",
"ਰੌਸ਼ਨ",
"ਤੇ",
"ਯਾਮੀ",
"ਗੌਤਮ",
"ਨੇ",
"ਫ਼ਿਲਮ",
"ਵਿੱਚ",
"ਇੱਕ",
"ਅੰਨ੍ਹੇ",
"ਪ੍ਰੇਮੀ",
"ਦੀ",
"ਭੂਮਿਕਾ",
"ਨਿਭਾਈ",
"ਸੀ",
"।"
] | [
"O",
"B-PER",
"O",
"B-PER",
"I-PER",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਪੰਜਾਬ",
"ਗੁਰੂਆਂ",
"ਅਤੇ",
"ਪੀਰ",
"ਪੈਗੰਬਰਾਂ",
"ਦੀ",
"ਪਵਿੱਤਰ",
"ਧਰਤੀ",
"ਹੈ",
"।"
] | [
"B-LOC",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਡਿਜੀਟਲ",
"ਪਤਾ",
"ਕਰਨ",
"ਯੋਗ",
"ਕੇਬਲ",
"ਟੀਵੀ",
"ਸਿਸਟਮ"
] | [
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਸੁਪਰੀਮ",
"ਕੋਰਟ",
"ਨੇ",
"ਕਿਹਾ",
"ਕਿ",
"ਹਿੰਦੂਆਂ",
"ਨੇ",
"ਆਪਣਾ",
"ਕੇਸ",
"ਸਥਾਪਤ",
"ਕਰ",
"ਲਿਆ",
"ਹੈ",
"ਕਿ",
"ਉਨ੍ਹਾਂ",
"ਦਾ",
"ਬਾਹਰਲਾ",
"ਵਿਹੜਾ",
"ਸੀ",
"ਅਤੇ",
"ਯੂ",
"ਪੀ",
"ਸੁੰਨੀ",
"ਕੇਂਦਰੀ",
"ਵਕਫ਼",
"ਬੋਰਡ",
"ਅਯੁੱਧਿਆ",
"ਵਿਵਾਦ",
"ਵਿੱਚ",
"ਆਪਣਾ",
"ਕੇਸ",
"ਸਥਾਪਤ",
"ਕਰਨ",
"ਵਿੱਚ",
"ਅਸਫਲ",
"ਰਿਹਾ",
"ਹੈ",
"।"
] | [
"B-ORG",
"I-ORG",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"B-LOC",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਪ੍ਰਧਾਨ",
"ਮੰਤਰੀ",
"ਨੇ",
"ਕਈ",
"ਰਾਜਾਂ",
"ਜਿਨ੍ਹਾਂ",
"ਵਿੱਚ",
"ਉੱਤਰਾਖੰਡ",
",",
"ਉਡੀਸ਼ਾ",
",",
"ਪੱਛਮੀ",
"ਬੰਗਾਲ",
",",
"ਕਰਨਾਟਕ",
",",
"ਤਮਿਲ",
"ਨਾਡੂ",
",",
"ਕੇਰਲ",
",",
"ਨਾਗਾਲੈਂਡ",
",",
"ਅਸਾਮ",
",",
"ਮਹਾਰਾਸ਼ਟਰ",
",",
"ਤੇਲੰਗਾਨਾ",
"ਅਤੇ",
"ਆਂਧਰ",
"ਪ੍ਰਦੇਸ਼",
"ਸ਼ਾਮਲ",
"ਹਨ",
",",
"ਵਿੱਚ",
"ਫੈਲੇ",
"ਰੇਲਵੇ",
",",
"ਸੜਕ",
",",
"ਬਿਜਲੀ",
"ਅਤੇ",
"ਅਖੁੱਟ",
"ਊਰਜਾ",
"ਖੇਤਰਾਂ",
"ਦੇ",
"ਨੌਂ",
"ਬੁਨਿਆਦੀ",
"ਢਾਂਚਾ",
"ਪ੍ਰੋਜੈਕਟਾਂ",
"ਦੀ",
"ਪ੍ਰਗਤੀ",
"ਦਾ",
"ਜਾਇਜ਼ਾ",
"ਲਿਆ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-LOC",
"O",
"B-LOC",
"O",
"B-LOC",
"I-LOC",
"O",
"B-LOC",
"O",
"B-LOC",
"O",
"O",
"O",
"O",
"B-LOC",
"O",
"B-LOC",
"O",
"B-LOC",
"O",
"B-LOC",
"O",
"B-LOC",
"I-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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਇਸ",
"ਸੰਦਰਭ",
"'",
"ਚ",
"ਉਨ੍ਹਾਂ",
"ਨੇ",
"ਨਾਮਵਰ",
"ਅਥਲੀਟ",
"ਹੀਮਾ",
"ਦਾਸ",
"ਦਾ",
"ਜ਼ਿਕਰ",
"ਕੀਤਾ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਪਿਛਲੇ",
"ਕੁਝ",
"ਹਫਤੇ",
"ਤੋਂ",
"ਇਸ",
"ਮੁੱਦੇ",
"'",
"ਤੇ",
"ਪ੍ਰਤੀਕਿਰਿਆ",
"ਜਾਣਨ",
"ਲਈ",
"ਗਬਾਰਡ",
"ਆਪਣੀ",
"ਪਾਰਟੀ",
"ਦੇ",
"ਆਗੂਆਂ",
"ਨਾਲ",
"ਗੱਲ",
"ਕਰ",
"ਰਹੀ",
"ਹੈ",
"ਅਤੇ",
"ਭਾਰਤੀ",
"ਮੂਲ",
"ਦੇ",
"ਅਮਰੀਕੀ",
"ਲੋਕਾਂ",
"ਨਾਲ",
"ਸੰਪਰਕ",
"ਕਰ",
"ਰਹੀ",
"ਹੈ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-PER",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਪ੍ਰਧਾਨ",
"ਮੰਤਰੀ",
"ਨੇ",
"ਜ਼ੋਰ",
"ਦਿੰਦਿਆਂ",
"ਕਿਹਾ",
"ਕਿ",
"ਸਮੁੱਚੇ",
"ਦੇਸ਼",
"ਦੇ",
"ਟਿਕਾਊ",
"ਵਿਕਾਸ",
"ਲਈ",
"ਭਾਰਤ",
"ਦੇ",
"ਪੂਰਬੀ",
"ਸੂਬਿਆਂ",
"ਦਾ",
"ਵਿਕਾਸ",
"ਲਾਜ਼ਮੀ",
"ਸੀ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-LOC",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਇਸ",
"ਪੱਤਰ",
"'",
"ਤੇ",
"ਹਰਪ੍ਰੀਤ",
"ਸਿੰਘ",
"ਦੇ",
"ਪਿੰਡ",
"ਗੁਮਤੀ",
"ਕਲਾਂ",
"ਦੇ",
"ਲੋਕਾਂ",
"ਅਤੇ",
"ਪੰਚਾਇਤ",
"ਦੇ",
"ਮੈਂਬਰਾਂ",
"ਦੇ",
"ਵੀ",
"ਹਸਤਾਖਰ",
"ਹਨ",
"।"
] | [
"O",
"O",
"O",
"O",
"B-PER",
"O",
"O",
"O",
"B-LOC",
"I-LOC",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਕਲੰਕ",
"ਗਾਣੇ",
"ਦੇ",
"ਬੋਲ",
"ਅਮਿਤਾਭ",
"ਭੱਟਾਚਾਰੀਆ",
"ਨੇ",
"ਕਲਮਬੰਧ",
"ਕੀਤੇ",
"ਹਨ",
"ਅਤੇ",
"ਮਿਊਜ਼ਿਕ",
"ਫੇਮਸ",
"ਮਿਊਜ਼ਿਕ",
"ਡਾਇਰੈਕਟਰ",
"ਪ੍ਰੀਤਮ",
"ਨੇ",
"ਦਿੱਤਾ",
"ਹੈ",
"।"
] | [
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-PER",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਦੱਸਣਯੋਗ",
"ਹੈ",
"ਕਿ",
"ਸੀਡੀ",
"ਵਾਇਰਲ",
"ਮਾਮਲੇ",
"ਤੋਂ",
"ਬਾਅਦ",
"ਚਰਨਜੀਤ",
"ਸਿੰਘ",
"ਚੱਢਾ",
"ਦੇ",
"ਪੁੱਤ",
"ਇੰਦਰਪ੍ਰੀਤ",
"ਸਿੰਘ",
"ਚੱਢਾ",
"ਨੇ",
"ਖ਼ੁਦਕੁਸ਼ੀ",
"ਕਰ",
"ਲਈ",
"ਸੀ",
"।"
] | [
"O",
"O",
"O",
"B-PER",
"I-PER",
"I-PER",
"I-PER",
"I-PER",
"I-PER",
"I-PER",
"I-PER",
"I-PER",
"I-PER",
"I-PER",
"I-PER",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਇਸ",
"ਹਾਦਸੇ",
"ਵਿੱਚ",
"ਮਾਰੇ",
"ਗਏ",
"ਖਿਡਾਰੀਆਂ",
"ਦੀ",
"ਪਹਿਚਾਣ",
"ਸ਼ਾਹਨਵਾਜ਼",
"ਖ਼ਾਨ",
",",
"ਆਦਰਸ਼",
"ਹਰਦੁਆ",
",",
"ਆਸ਼ੀਸ਼",
"ਲਾਲ",
"ਤੇ",
"ਅਨਿਕੇਤ",
"ਦੇ",
"ਰੂਪ",
"ਵਿੱਚ",
"ਹੋਈ",
"ਹੈ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"O",
"B-PER",
"I-PER",
"O",
"B-PER",
"I-PER",
"O",
"B-PER",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਇਸਲਾਮਾਬਾਦ",
"ਸਥਿਤ",
"ਭਾਰਤੀ",
"ਰਾਜਦੂਤ",
"ਨੂੰ",
"ਰਾਵਲਪਿੰਡ",
"ਨੇੜੇ",
"ਹਸਨ",
"ਅਬਦਾਲ",
"ਸਥਿਤ",
"ਗੁਰਦੁਆਰਾ",
"ਪੰਜਾ",
"ਸਾਹਿਬ",
"ਵਿੱਚ",
"ਮੌਜੂਦ",
"ਭਾਰਤੀ",
"ਸਿੱਖ",
"ਸ਼ਰਧਾਲੂਆਂ",
"ਨੂੰ",
"ਮਿਲਣ",
"ਨਾ",
"ਜਾਣ",
"ਦਾ",
"ਸ਼੍ਰੋਮਣੀ",
"ਗੁਰਦੁਆਰਾ",
"ਪ੍ਰਬੰਧਕ",
"ਕਮੇਟੀ",
"ਨੇ",
"ਗੰਭੀਰ",
"ਨੋਟਿਸ",
"ਲਿਆ",
"ਹੈ",
"ਤੇ",
"ਇਸ",
"ਘਟਨਾ",
"ਦੀ",
"."
] | [
"B-LOC",
"O",
"O",
"O",
"O",
"O",
"O",
"B-LOC",
"I-LOC",
"O",
"B-LOC",
"I-LOC",
"I-LOC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਫ਼ਿਲਮ",
"'",
"ਚ",
"ਮੁੱਖ",
"ਭੂਮਿਕਾ",
"'",
"ਚ",
"ਕਰੀਨਾ",
"ਕਪੂਰ",
",",
"ਸੋਨਮ",
"ਕਪੂਰ",
",",
"ਸਵਰਾ",
"ਭਾਸਕਰ",
"ਤੇ",
"ਸ਼ਿਖਾ",
"ਤਲਸਾਨੀਆ",
"ਹੈ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"O",
"B-PER",
"I-PER",
"O",
"B-PER",
"I-PER",
"O",
"B-PER",
"I-PER",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਕ੍ਰਮਬੱਧ",
"ਆਈਟਮਾਂ",
"ਲਈ",
"ਪਿੱਛੇ",
"ਅੰਤਰ",
"ਸੈਟ",
"ਕਰਦਾ",
"ਹੈ",
"।"
] | [
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਸਥਾਈ",
"ਕਮੇਟੀ",
"ਦੇ",
"ਮੈਂਬਰ",
"ਹਰੀਬੋਲ",
"ਗਜੂਰੇਲ",
"ਦੇ",
"ਅਨੁਸਾਰ",
",",
"ਓਲੀ",
"ਅਤੇ",
"ਦਹਿਲ",
"ਦੋਵਾਂ",
"ਦੀਆਂ",
"ਬੰਦੂਕਾਂ",
"ਨਾਲ",
"ਜੁੜੇ",
"ਹੋਏ",
"ਰੁਕਾਵਟ",
"ਜਾਰੀ",
"ਹੈ",
"."
] | [
"B-ORG",
"I-ORG",
"O",
"O",
"B-PER",
"I-PER",
"O",
"O",
"O",
"B-PER",
"O",
"B-PER",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਓਮ",
"ਪੁਰੀ",
"ਨੇ",
"ਫਿਲਮ",
"ਵਿੱਚ",
"ਹੁਮਾ",
"ਦੇ",
"ਪਿਤਾ",
"ਦਾ",
"ਕਿਰਦਾਰ",
"ਨਿਭਾਇਆ",
"।"
] | [
"B-PER",
"O",
"O",
"O",
"O",
"B-PER",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"'",
"ਇੰਟੈਗ੍ਰੇਟਿਡ",
"ਗੁੱਡਜ਼",
"ਤੇ",
"ਸਰਵਿਸਿਜ਼",
"ਟੈਕਸ",
"'",
"(",
"ਆਈਜੀਐਸਟੀ",
")",
"ਅਤੇ",
"'",
"ਕੇਂਦਰੀ",
"ਗੁੱਡਜ਼",
"ਤੇ",
"ਸਰਵਿਸਜ਼",
"ਟੈਕਸ",
"'",
"(",
"ਸੀਜੀਐਸਟੀ",
")",
"ਦੀ",
"ਮਾਮੂਲੀ",
"ਜਿਹੀ",
"ਉਗਰਾਹੀ",
"ਕਾਰਨ",
"ਨਾ",
"ਸਿਰਫ਼",
"ਸਰਕਾਰ",
"ਨੂੰ",
"ਝਟਕਾ",
"ਲੱਗਿਆ",
"ਹੈ",
",",
"ਸਗੋਂ",
"ਇਸ",
"ਨਾਲ",
"ਸਨਅਤ",
"ਨੂੰ",
"ਵੀ",
"ਤਕੜੀ",
"ਸੱਟ",
"ਵੱਜੀ",
"ਹੈ",
"।"
] | [
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਜਿਸ",
"ਦੀ",
"ਅਰੰਭਤਾ",
"ਅੰਮ੍ਰਿਤ",
"ਵੇਲੇ",
"ਸ੍ਰੀ",
"ਸੁਖਮਨੀ",
"ਸਾਹਿਬ",
"ਅਤੇ",
"ਨਿਤਨੇਮ",
"ਦੇ",
"ਪਾਠ",
"ਨਾਲ",
"ਹੋਈ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"I-PER",
"O",
"B-PER",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਇਹ",
"ਐਵਾਰਡ",
"ਸਰਕਾਰੀ",
"ਸਕੂਲਾਂ",
"ਵਿਚ",
"ਪੜ੍ਹਦੇ",
"ਅਤੇ",
"ਆਰਥਿਕ",
"ਤੌਰ",
"'",
"ਤੇ",
"ਕਮਜ਼ੋਰ",
"ਪਰਿਵਾਰਾਂ",
"ਦੇ",
"ਬੱਚਿਆਂ",
"ਨੂੰ",
"ਪੰਜਾਬ",
"ਸਕੂਲ",
"ਸਿੱਖਿਆ",
"ਬੋਰਡ",
"ਦੀ",
"ਮੈਰਿਟ",
"ਸੂਚੀ",
"ਦੇ",
"ਅਧਾਰ",
"'",
"ਤੇ",
"ਦਿੱਤੇ",
"ਗਏ",
"ਹਨ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਉਸਦੀ",
"ਮਾਂ",
"ਈਰਾਨ",
"ਦੇ",
"ਸਫਾਵਿਦ",
"ਵੰਸ਼",
"ਦੀ",
"ਪ੍ਰਮੁੱਖ",
"ਰਾਜਕੁਮਾਰੀ",
"ਸੀ",
"ਅਤੇ",
"ਉਹ",
"ਮਿਰਜ਼ਾ",
"ਬਾਦੀ",
"-",
"ਉਜ਼",
"-",
"ਜ਼ਾਮਾਨ",
"ਸਫਾਫ਼ੀ",
",",
"ਗੁਜਰਾਤ",
"ਦਾ",
"ਵਾਇਸਰਾਏ",
",",
"ਦੀ",
"ਧੀ",
"ਸੀ",
"।"
] | [
"O",
"O",
"B-LOC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"B-LOC",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਇਨ੍ਹਾਂ",
"ਸ਼ਬਦਾਂ",
"ਦਾ",
"ਪ੍ਰਗਟਾਵਾ",
"ਲੋਕ",
"ਸਭਾ",
"ਹਲਕਾ",
"ਲੁਧਿਆਣਾ",
"ਤੋਂ",
"ਕਾਂਗਰਸ",
"ਦੇ",
"ਉਮੀਦਵਾਰ",
"ਰਵਨੀਤ",
"ਸਿੰਘ",
"ਬਿੱਟੂ",
"ਨੇ",
"ਕੀਤਾ",
"।"
] | [
"O",
"O",
"O",
"O",
"B-LOC",
"I-LOC",
"I-LOC",
"I-LOC",
"O",
"B-ORG",
"O",
"O",
"B-PER",
"I-PER",
"I-PER",
"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, 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.
Provide the output as a list of tags corresponding to each input token. | [
"ਉਂਜ",
",",
"ਖ਼ੁਸ਼ੀ",
"ਸੋਸ਼ਲ",
"ਮੀਡੀਆ",
"'",
"ਤੇ",
"ਕਾਫ਼ੀ",
"ਸਰਗਰਮ",
"ਹੈ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |