instructions
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100
| output
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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. | [
"ਇਸ",
"ਫੋਟੋਸ਼ੂਟ",
"ਦੀਆਂ",
"ਕੁਝ",
"ਤਸਵੀਰਾਂ",
"ਸੋਸ਼ਲ",
"ਮੀਡੀਆ",
"'",
"ਤੇ",
"ਕਾਫੀ",
"ਵਾਇਰਲ",
"ਹੋ",
"ਰਹੀਆਂ",
"ਹਨ",
"।"
] | [
"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. | [
"ਪੰਜਾਬ",
"ਵਿਚ",
"ਕੋਰੋਨਾ",
"ਵਾਇਰਸ",
"ਦੇ",
"ਮਾਮਲਿਆਂ",
"'",
"ਚ",
"ਵਾਧਾ",
"ਹੋਇਆ",
"ਹੈ",
"।"
] | [
"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. | [
"ਕਾਂਗਰਸ",
"ਵੱਲੋਂ",
"ਕੀਤੇ",
"ਸਾਰੇ",
"ਵਾਅਦੇ",
"ਪੂਰੇ",
"ਕੀਤੇ",
"ਜਾਣਗੇ",
"।"
] | [
"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. | [
"ਇਸ",
"ਮੀਟਿੰਗ",
"'",
"ਚ",
"ਸੀਓਏ",
"ਵੱਲੋਂ",
"ਵਿਨੋਦ",
"ਰਾਏ",
",",
"ਡਾਇਨਾ",
"ਇਡੁਲਜੀ",
"ਜਦਕਿ",
"ਬੀਸੀਸੀਆਈ",
"ਵੱਲੋਂ",
"ਕਾਰਜਕਾਰੀ",
"ਪ੍ਰਧਾਨ",
"ਸੀਕੇ",
"ਖੰਨਾ",
",",
"ਕਾਰਜਕਾਰੀ",
"ਸਕੱਤਰ",
"ਅਮਿਤਾਬ",
"ਚੌਧਰੀ",
",",
"ਖ਼ਜ਼ਾਨਚੀ",
"ਅਨਿਰੁੱਧ",
"ਚੌਧਰੀ",
"ਤੇ",
"ਸੀਈਓ",
"ਰਾਹੁਲ",
"ਜੌਹਰੀ",
"ਹਿੱਸਾ",
"ਲੈਣਗੇ",
"।"
] | [
"O",
"O",
"O",
"O",
"B-ORG",
"O",
"B-PER",
"I-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"O",
"O",
"O",
"B-PER",
"I-PER",
"I-PER",
"I-PER",
"I-PER",
"I-PER",
"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. | [
"ਸ਼੍ਰੀ",
"ਨਾਇਡੂ",
"ਨੇ",
"ਜ਼ੋਰ",
"ਦੇਕੇ",
"ਕਿਹਾ",
"ਕਿ",
"ਬੁਨਿਆਦੀ",
"ਢਾਂਚਾ",
",",
"ਊਰਜਾ",
",",
"ਜਲ",
",",
"ਕਚਰਾ",
"ਪ੍ਰਬੰਧਨ",
",",
"ਟ੍ਰਾਂਸਪੋਰਟ",
",",
"ਭੂ",
"-",
"ਸੰਪਦਾ",
"ਅਤੇ",
"ਸ਼ਹਿਰੀ",
"ਯੋਜਨਾਬੰਦੀ",
"ਜਿਹੇ",
"ਵੱਖ",
"-",
"ਵੱਖ",
"ਖੇਤਰਾਂ",
"ਦੀਆਂ",
"ਚੁਣਤੀਆਂ",
"ਦੇ",
"ਸਮਾਧਾਨ",
"ਲਈ",
"ਉੱਨਤ",
"ਟੈਕਨੋਲੋਜੀਆਂ",
"ਦਾ",
"ਇਸਤੇਮਾਲ",
"ਕਰਨਾ",
"ਜ਼ਰੂਰੀ",
"ਹੈ",
"।"
] | [
"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",
"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. | [
"ਪੱਛਮੀ",
"ਕੇਪ",
"ਪ੍ਰਾਂਤ",
"16,893",
"ਪੁਸ਼ਟੀ",
"ਕੀਤੇ",
"ਮਾਮਲਿਆਂ",
"ਦੇ",
"ਨਾਲ",
"ਮਹਾਂਮਾਰੀ",
"ਦਾ",
"ਕੇਂਦਰ",
"ਬਣਿਆ",
"ਹੋਇਆ",
"ਹੈ",
",",
"ਇਸ",
"ਤੋਂ",
"ਬਾਅਦ",
"ਗੌਟੈਂਗ",
"3,167",
"ਕੇਸਾਂ",
"ਨਾਲ",
",",
"ਪੂਰਬੀ",
"ਕੇਪ",
"ਵਿੱਚ",
"3,047",
"ਅਤੇ",
"ਕਵਾਜੂਲੂ",
"-",
"ਨਟਲ",
"2,186",
"ਮਾਮਲਿਆਂ",
"ਵਿੱਚ",
"ਹਨ",
"।"
] | [
"B-LOC",
"I-LOC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-LOC",
"O",
"O",
"O",
"O",
"B-LOC",
"I-LOC",
"O",
"O",
"O",
"B-LOC",
"I-LOC",
"I-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. | [
"ਸ਼ਹਿਰ",
"ਦਾ",
"ਨਾਮ"
] | [
"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. | [
"ਫੋਟੋਃ",
"ਸੁਨੀਲ",
"ਕੁਮਾਰ"
] | [
"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. | [
"ਵ੍ਹਾਇਟ",
"ਪੇਪਰ",
"ਵਿੱਚ",
"ਦੱਸਿਆ",
"ਜਾਵੇਗਾ",
"ਕਿ",
"ਕਿੱਥੇ",
"-",
"ਕਿੱਥੇ",
"ਕਿੰਨੀ",
"ਸਰਕਾਰੀ",
"ਪ੍ਰਾਪਰਟੀ",
"ਪੁੱਡਾ",
"ਨੂੰ",
"ਟਰਾਂਸਫਰ",
"ਕਰਕੇ",
"ਫੰਡ",
"ਜੁਟਾਉਣ",
"ਨੂੰ",
"ਬੈਂਕਾਂ",
"ਨੂੰ",
"ਗਿਰਵੀ",
"ਰੱਖੀਆ",
"ਗਈਆਂ",
"ਹਨ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"B-ORG",
"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. | [
"ਸੰਯੁਕਤ",
"ਰਾਜ",
"ਦੇ",
"ਡੋਨੇਲਡ",
"ਟਰੰਪ",
"ਦੇ",
"ਪ੍ਰਧਾਨ",
"ਅਤੇ",
"ਪਹਿਲੀ",
"ਮਹਿਲਾ",
"ਮੇਲਾਨੀਆ",
"ਟਰੰਪ"
] | [
"B-LOC",
"O",
"O",
"B-PER",
"I-PER",
"O",
"O",
"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. | [
"ਇਸ",
"ਮੌਕੇ",
"ਕਰਵਾਏ",
"ਗਏ",
"ਸਮਾਗਮ",
"ਵਿਚ",
"ਮੁੱਖ",
"ਮਹਿਮਾਨ",
"ਵਜੋਂ",
"ਉਪ",
"ਜ਼ਿਲ੍ਹਾ",
"ਸਿੱਖਿਆ",
"ਅਫਸਰ",
"ਗੁਰਜੀਤ",
"ਸਿੰਘ",
"ਪੁੱਜੇ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"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. | [
"ਉਨ੍ਹਾਂ",
"ਮੰਗ",
"ਕੀਤੀ",
"ਕਿ",
"ਅਸਾਮੀਆਂ",
"ਤੁਰੰਤ",
"ਭਰੀਆਂ",
"ਜਾਣ",
"।"
] | [
"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. | [
"ਊਧਵ",
"ਠਾਕਰੇ",
"ਨੇ",
"ਇਹ",
"ਵੀ",
"ਕਿਹਾ",
"ਕਿ",
"ਉਨ੍ਹਾਂ",
"ਨੇ",
"ਫੜਨਵੀਸ",
"ਤੋਂ",
"ਬਹੁਤ",
"ਕੁਝ",
"ਸਿੱਖਿਆ",
"ਹੈ",
"ਤੇ",
"ਹਮੇਸ਼ਾ",
"ਉਨ੍ਹਾਂ",
"ਦੇ",
"ਮਿੱਤਰ",
"ਬਣੇ",
"ਰਹਿਣਗੇ",
"।"
] | [
"O",
"B-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"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. | [
"ਚੰਡੀਗੜ੍ਹ",
"(",
"ਅਸ਼ਵਨੀ",
")",
"-",
"ਪੰਜਾਬ",
"ਦੇ",
"ਮੁੱਖ",
"ਮੰਤਰੀ",
"ਕੈਪਟਨ",
"ਅਮਰਿੰਦਰ",
"ਸਿੰਘ",
"ਨੇ",
"ਭਾਰਤ",
"ਸਰਕਾਰ",
"ਦੀ",
"ਓਪਨ",
"ਸਕਾਈ",
"ਨੀਤੀ",
"ਹੇਠ",
"ਆਸੀਆਨ",
"ਦੇਸ਼ਾਂ",
"ਦੀਆਂ",
"ਏਅਰਲਾਈਨਜ਼",
"ਦੀਆਂ",
"ਗਤੀਵਿਧੀਆਂ",
"ਲਈ",
"ਨੋਟੀਫਾਈ",
"ਕੀਤੇ",
"ਸ਼ਹਿਰਾਂ",
"ਦੀ",
"ਸੂਚੀ",
"ਵਿਚ",
"ਚੰਡੀਗੜ੍ਹ",
"ਨੂੰ",
"ਸ਼ਾਮਲ",
"ਕਰਨ",
"ਦੀ",
"ਮੰਗ",
"ਕੀਤੀ",
"ਹੈ",
"।"
] | [
"B-LOC",
"O",
"O",
"O",
"O",
"B-LOC",
"O",
"O",
"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",
"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. | [
"ਉਸ",
"ਦੀ",
"ਮਾਂ",
"ਸਾਂਨ",
"ਫਰਾਂਸਿਸਕੋ",
"ਤੋਂ",
"ਆਈ",
"ਸੀ",
"ਅਤੇ",
"ਅੰਗਰੇਜ਼ੀ",
",",
"ਆਇਰਿਸ਼",
",",
"ਸਕੌਟਿਸ਼",
",",
"ਅਤੇ",
"ਵੇਲਜ਼",
"ਮੂਲ",
"ਦੀ",
"ਸੀ",
"।"
] | [
"B-PER",
"O",
"O",
"B-LOC",
"I-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. | [
"ਕੇਂਦਰੀ",
"ਵਿੱਤ",
"ਮੰਤਰੀ",
"ਅਰੁਣ",
"ਜੇਟਲੀ",
",",
"ਗ੍ਰਹਿ",
"ਮੰਤਰੀ",
"ਰਾਜਨਾਥ",
"ਸਿੰਘ",
",",
"ਸ਼ਿਵਸੈਨਾ",
"ਮੁਖੀ",
"ਉਧਵ",
"ਠਾਕਰੇ",
"ਅਤੇ",
"ਗੁਜਰਾਤ",
"ਦੇ",
"ਮੁੱਖ",
"ਮੰਤਰੀ",
"ਵਿਜੇ",
"ਰੁਪਾਣੀ",
"ਵੀ",
"ਇਸ",
"ਦੌਰਾਨ",
"ਮੌਜੂਦ",
"ਸਨ",
"।"
] | [
"O",
"O",
"O",
"B-PER",
"I-PER",
"O",
"O",
"O",
"B-PER",
"I-PER",
"O",
"B-ORG",
"O",
"B-PER",
"I-PER",
"O",
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"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. | [
"ੇਮਜ਼",
",",
"ਐੱਮ",
"."
] | [
"B-PER",
"O",
"B-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. | [
"ਮੋਹਨ",
"ਲਾਲ",
"ਸ਼ਰਮਾ",
"ਨੇ",
"ਸ਼ਿਰਕਤ",
"ਕੀਤੀ",
"।"
] | [
"B-PER",
"I-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. | [
"ਯਹੂਦੀ",
"ਇਤਿਹਾਸਕਾਰ",
"ਫਲੇਵੀਅਸ",
"ਜੋਸੀਫ਼ਸ",
"ਨੇ",
"ਵੀ",
"ਯਿਸੂ",
"ਦਾ",
"ਜ਼ਿਕਰ",
"ਕੀਤਾ",
"ਸੀ",
"।"
] | [
"O",
"O",
"B-PER",
"I-PER",
"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. | [
"ਸੰਯੁਕਤ",
"ਰਾਸ਼ਟਰ",
"ਦੇ",
"ਮਨੁੱਖੀ",
"ਅਧਿਕਾਰਾਂ",
"ਬਾਰੇ",
"ਮਾਹਿਰਾਂ",
"ਦੇ",
"ਇਕ",
"ਗਰੁੱਪ",
"ਨੇ",
"ਪੱਤਰਕਾਰ",
"ਰਾਣਾ",
"ਅਯੁਬ",
"ਨੂੰ",
"ਧਮਕੀਆਂ",
"ਦੇਣ",
"'",
"ਤੇ",
"ਚਿੰਤਾ",
"ਜ਼ਾਹਰ",
"ਕੀਤੀ",
"ਹੈ",
"ਤੇ",
"ਭਾਰਤ",
"ਸਰਕਾਰ",
"ਨੂੰ",
"ਉਸ",
"ਦੀ",
"ਸੁਰੱਖਿਆ",
"ਲਈ",
"ਫੌਰੀ",
"ਕਦਮ",
"ਚੁੱਕਣ",
"ਅਤੇ",
"ਉਸ",
"ਨੂੰ",
"ਮਿਲ",
"ਰਹੀਆਂ",
"ਧਮਕੀਆਂ",
"ਦੀ",
"ਜਲਦੀ",
"ਵਿਆਪਕ",
"ਜਾਂਚ",
"ਕਰਾਉਣ",
"ਲਈ",
"ਕਿਹਾ",
"ਹੈ",
"।"
] | [
"B-ORG",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"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",
"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",
"ਪੈਨਲ",
"ਇਥੇ",
"ਸੰਯੁਕਤ",
"ਰਾਸ਼ਟਰ",
"ਮੁੱਖ",
"ਦਫਤਰ",
"ਦੀ",
"ਛੱਤ",
"'",
"ਤੇ",
"ਲਾਏ",
"ਜਾ",
"ਰਹੇ",
"ਹਨ",
"।"
] | [
"O",
"O",
"O",
"B-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. | [
"ਇਸ",
"ਦੇ",
"ਭਿਆਨਕ",
"ਨਤੀਜੇ",
"ਹੋ",
"ਸਕਦੇ",
"ਹਨ",
"."
] | [
"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. | [
"ਆਂਗਣਵਾੜੀ",
"ਮੁਲਾਜ਼ਮਾਂ",
"ਵਲੋਂ",
"ਸਰਕਾਰ",
"ਿਖ਼ਲਾਫ਼",
"ਨਾਅਰੇਬਾਜ਼ੀ"
] | [
"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. | [
"ਸਾਇੰਟਲਾਜੀ",
"ਨਿਊਜ਼"
] | [
"B-ORG",
"I-ORG"
] |
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. | [
"ਰੂਸ",
"ਦੀ",
"ਪਾਵਲਿਊਚੇਨਕੋਵਾ",
"ਨੇ",
"ਇੱਕ",
"ਹੋਰ",
"ਚੈਥ",
"ਖਿਡਾਰੀ",
"ਬਾਰਬਰਾ",
"ਸਟ੍ਰਾਈਕੋਵਾ",
"ਨੂੰ",
"5",
"-",
"7,6",
"-",
"3,6",
"-",
"1",
"ਨਾਲ",
"ਹਰਾ",
"ਕੇ",
"ਸੈਮੀ",
"ਫਾਈਨਲ",
"ਦੀ",
"ਟਿਕਟ",
"ਕਟਾਈ",
"।"
] | [
"B-PER",
"I-PER",
"I-PER",
"O",
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"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. | [
"ਫ਼ਿਲਮ",
"'",
"ਚ",
"ਕਰੀਨਾ",
"ਕਪੂਰ",
"ਆਮਿਰ",
"ਨਾਲ",
"ਅਹਿਮ",
"ਭੂਮਿਕਾ",
"ਨਿਭਾਉਂਦੀ",
"ਨਜ਼ਰ",
"ਆਵੇਗੀ",
"।"
] | [
"O",
"O",
"O",
"B-PER",
"O",
"B-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. | [
"ਪੁਲਿਸ",
"ਨੇ",
"20",
"ਸਾਲਾ",
"ਨੌਜਵਾਨ",
"ਨੂੰ",
"ਅਗਵਾ",
"ਕਰਨ",
"ਮਾਮਲਾ",
"ਸੁਲਝਾਇਆ"
] | [
"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. | [
"ਆਸਟਰੇਲੀਆ",
"ਦੇ",
"ਪ੍ਰਧਾਨ",
"ਮੰਤਰੀ",
"ਸਕਾਟ",
"ਮੌਰਿਸਨ",
"ਨੇ",
"ਸ਼ਨੀਵਾਰ",
"ਨੂੰ",
"ਸੰਸਦ",
"ਦੇ",
"ਉਦਘਾਟਨ",
"ਨੂੰ",
"ਕਈ",
"ਹਫਤਿਆਂ",
"ਲਈ",
"ਦੇਰੀ",
"ਕਰ",
"ਦਿੱਤੀ",
"ਕਿਉਂਕਿ",
"ਨਵਾਂ",
"ਕੋਰੋਨਾਵਾਇਰਸ",
"ਫੈਲਦਾ",
"ਰਿਹਾ",
"."
] | [
"O",
"O",
"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"
] |
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. | [
"ਬੁੱਧਵਾਰ",
"ਤੋਂ",
"30",
"ਜੂਨ",
"ਤੱਕ",
"ਮਦੁਰਈ",
"ਅਤੇ",
"ਨੇੜਲੇ",
"ਇਲਾਕਿਆਂ",
"ਵਿੱਚ",
"ਮੁਕੰਮਲ",
"ਲੌਕਡਾਊਨ",
"ਲਾਗੂ",
"ਕੀਤਾ",
"ਜਾਵੇਗਾ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"B-LOC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, 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. | [
"ਮੱਧ",
"ਅਮਰੀਕਾ",
"ਦੇ",
"ਇਕ",
"ਦੇਸ਼",
"ਵਿਚ",
"ਕੁਝ",
"ਸਾਲ",
"ਪਹਿਲਾਂ",
",",
"ਮਸੀਹੀ",
"ਕਲੀਸਿਯਾ",
"ਵਿਚ",
"ਇਕ",
"ਕਿਸ਼ੋਰ",
"ਮੁੰਡੇ",
"ਨੇ",
"ਦੈਵ",
"-",
"ਸ਼ਾਸਕੀ",
"ਸੇਵਕਾਈ",
"ਸਕੂਲ",
"ਵਿਚ",
"ਭਾਸ਼ਣ",
"ਦਿੱਤਾ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-ORG",
"I-ORG",
"O",
"O",
"O",
"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",
"ਸੈਨਾ",
"ਵੀ",
"ਜਵਾਬੀ",
"ਕਾਰਵਾਈ",
"ਰ",
"ਰਹੀ",
"ਹੈ",
"।"
] | [
"B-ORG",
"I-ORG",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, 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. | [
"ਜ਼ਖ਼ਮੀ",
"ਔਰਤ",
"ਨੂੰ",
"ਸਿਵਲ",
"ਹਸਪਤਾਲ",
"ਦਾਖ਼ਲ",
"ਕਰਵਾਇਆ",
"ਗਿਆ",
"।"
] | [
"O",
"O",
"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. | [
"ਤ੍ਰਿਪੁਰਾ",
"ਦੇ",
"ਸਹਾਇਤਾ",
"ਕੈਂਪਾਂ",
"ਵਿੱਚ",
"ਬਰੱਸ",
"(",
"Brus",
")",
"ਵਿੱਚ",
"ਰਹਿ",
"ਰਹੇ",
"ਲੋਕਾਂ",
"ਦੀ",
"ਸਾਂਭ",
"ਸੰਭਾਲ",
"ਲਈ",
"ਤ੍ਰਿਪੁਰਾ",
"ਸਰਕਾਰ",
"ਨੂੰ",
"ਸਹਾਇਤਾ",
"-",
"ਗ੍ਰਾਂਟ",
"।"
] | [
"B-LOC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-ORG",
"I-ORG",
"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",
"ਕਾਰਜਾਂ",
"ਦੀ",
"ਪ੍ਰਗਤੀ",
"ਦਾ",
"ਜਾਇਜ਼ਾ",
"ਲੈਣ",
"ਲਈ",
"ਅੱਜ",
"ਡਿਪਟੀ",
"ਕਮਿਸ਼ਨਰ",
"ਕੁਮਾਰ",
"ਅਮਿਤ",
"ਨੇ",
"ਜੈਕਬ",
"ਡਰੇਨ",
"ਅਤੇ",
"ਮਾਡਲ",
"ਟਾਊਨ",
"ਡਰੇਨ",
"ਦਾ",
"ਦੌਰਾ",
"ਵੀ",
"ਕੀਤਾ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"O",
"B-LOC",
"I-LOC",
"O",
"B-LOC",
"I-LOC",
"I-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. | [
"ਉਨ੍ਹਾਂ",
"ਖਾਲਸਾ",
"ਕਾਲਜ",
"ਦੇ",
"ਪ੍ਰਿੰਸੀਪਲ",
"ਡਾ",
"."
] | [
"O",
"B-ORG",
"I-ORG",
"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. | [
"ਅਧਿਕਾਰੀਆਂ",
"ਮੁਤਾਬਕ",
"ਮੁਲਜ਼ਮ",
"ਦੀ",
"ਗੱਡੀ",
"ਮਿਲ",
"ਗਈ",
"ਅਤੇ",
"ਉਸ",
"ਦੀ",
"ਜਾਂਚ",
"ਕੀਤੀ",
"ਜਾ",
"ਰਹੀ",
"ਹੈ",
"।"
] | [
"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. | [
"ਸਾਨੂੰ",
"ਆਪਣੀ",
"ਹਥਿਆਰਬੰਦ",
"ਸੇਵਾਵਾਂ",
",",
"ਪੁਲਿਸ",
"ਅਤੇ",
"ਅਰਧ",
"ਸੈਨਿਕ",
"ਬਲ",
"'",
"ਤੇ",
"ਮਾਣ",
"ਹੈ",
"ਜੋ",
"ਸੀਮਾਵਾਂ",
"ਦੀ",
"ਰੱਖਿਆ",
"ਕਰਦੇ",
"ਹਨ",
"ਅਤੇ",
"ਸਾਡੀ",
"ਆਂਤਰਿਕ",
"ਸੁਰੱਖਿਆ",
"ਨੂੰ",
"ਯਕੀਨੀ",
"ਬਣਾਉਂਦੇ",
"ਹਨ",
"।"
] | [
"O",
"O",
"B-ORG",
"I-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"
] |
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. | [
"ਓਮਾਜੀ",
"ਦੀ",
"ਦਾਦੀ",
",",
"ਯਾਨੀ",
"ਕਿ",
"ਹਾਵਾ",
"ਦੀ",
"ਸੱਸ",
"ਓਮਾਜੀ",
"ਨੂੰ",
"ਕਬੀਲੇ",
"ਦੇ",
"ਤਾਂਤਰਕ",
"ਕੋਲ",
"ਲਿਜਾਣਾ",
"ਚਾਹੁੰਦੀ",
"ਹੈ",
"।"
] | [
"B-PER",
"O",
"O",
"O",
"O",
"O",
"B-PER",
"O",
"O",
"B-PER",
"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. | [
"ਕੇਂਦਰ",
"ਸਰਕਾਰ",
"ਇੱਕ",
"ਡਿਜੀਟਲ",
"ਇੰਡੀਆ",
"ਦਾ",
"ਸੁਫ਼ਨਾ",
"ਸਾਕਾਰ",
"ਕਰਨ",
"ਅਤੇ",
"ਭਾਰਤ",
"ਨੂੰ",
"ਡਿਜੀਟਲ",
"ਤੌਰ",
"'",
"ਤੇ",
"ਸ਼ਕਤੀਸ਼ਾਲੀ",
"ਸਮਾਜ",
"ਅਤੇ",
"ਗਿਆਨ",
"ਅਰਥ",
"ਵਿਵਸਥਾ",
"ਬਣਾਉਣ",
"ਲਈ",
"ਪ੍ਰਤੀਬੱਧ",
"ਹੈ",
"।"
] | [
"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. | [
"ਵਿੰਡੋ",
"ਰਾਕ"
] | [
"B-ORG",
"I-ORG"
] |
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. | [
"ਨਿਊਜ਼ੀਅਮ",
"ਨੇ",
"ਇਕ",
"ਸੰਖੇਪ",
"ਵੇਰਵੇ",
"ਵਿਚ",
"ਕਿਹਾ",
",",
"\"",
"ਗੌਰੀ",
"ਲੰਕੇਸ਼",
"(",
"55",
")",
"ਪੂਰੇ",
"ਭਾਰਤ",
"ਵਿਚ",
"ਜਾਤੀਵਾਦ",
"ਅਤੇ",
"ਹਿੰਦੂ",
"ਅੱਤਵਾਦ",
"ਵਿਰੁੱਧ",
"ਆਪਣੇ",
"ਮੋਹਰੀ",
"ਲੇਖਾਂ",
"ਲਈ",
"ਪ੍ਰਸਿੱਧ",
"ਸੀ",
"।"
] | [
"B-ORG",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"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. | [
"ਇਹ",
"ਬੁਝਾਰਤ",
"ਸਮਝੋਂ",
"ਬਾਹਰ",
"ਹੈ",
"।"
] | [
"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. | [
"ਗੁਜਰਾਤ",
"ਸਰਕਾਰ",
"ਨੇ",
"ਗੁਜਰਾਤ",
"ਵਿੱਚ",
"ਫਸੇ",
"ਅਮਰੀਕੀ",
"ਨਾਗਰਿਕਾਂ",
"ਲਈ",
"ਵਾਹਨ",
"ਪਾਸ",
"ਜਾਰੀ",
"ਕੀਤੇ",
"ਹਨ",
"।"
] | [
"B-LOC",
"O",
"O",
"B-LOC",
"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. | [
"'",
"ਭਾਰਤ",
"'",
"'",
"ਚ",
"ਸਲਮਾਨ",
"ਨਾਲ",
"ਕੈਟਰੀਨਾ",
"ਕੈਫ",
"ਨਜ਼ਰ",
"ਆਵੇਗੀ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"B-PER",
"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. | [
"ਭਗਤਾ",
"ਭਾਈ",
",",
"6",
"ਜੁਲਾਈ"
] | [
"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. | [
"ਬੈਸਟ",
"ਹਿੰਦੀ",
"ਫਿਲਮ",
":",
"ਅੰਧਾਧੁਨ"
] | [
"O",
"O",
"O",
"O",
"B-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. | [
"ਕਵਿਤਾ",
"ਕਈ",
"ਤਰੀਕਿਆਂ",
"ਨਾਲ",
"ਉਨ੍ਹਾਂ",
"ਦੀ",
"ਮਦਦ",
"ਕਰਨ",
"ਲਈ",
"ਭਾਰਤ",
"ਵਿੱਚ",
"ਰਹੀ",
"।"
] | [
"B-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-LOC",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, 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. | [
"ਅਸ਼ਵਨੀ",
"ਕੁਮਾਰ",
"ਸ਼ਿਮਲਾ"
] | [
"B-PER",
"I-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. | [
"ਨੀਤੀਸ਼",
"ਕਟਾਰਾ",
"ਹੱਤਿਆ",
"ਕਾਂਡ",
":",
"ਸੁਪਰੀਮ",
"ਕੋਰਟ",
"ਨੇ",
"ਸਜ਼ਾ",
"ਘਟਾਈ"
] | [
"B-PER",
"I-PER",
"O",
"O",
"O",
"B-ORG",
"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. | [
"ਬਾਈਬਲ",
"ਵਿਚ",
"ਸਿਰਫ਼",
"ਇਕ",
"ਵਾਰ",
"ਹੋਰ",
"ਮਾਰਥਾ",
"ਦਾ",
"ਜ਼ਿਕਰ",
"ਆਉਂਦਾ",
"ਹੈ",
"।"
] | [
"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. | [
"ਉਹ",
"ਇਸ",
"ਸਮੇਂ",
"ਲਾਹੌਰ",
"ਦੀ",
"ਕੋਟ",
"ਲਖਪਤ",
"ਜੇਲ੍ਹ",
"ਚ",
"ਹਨ",
"।"
] | [
"B-PER",
"O",
"O",
"B-LOC",
"O",
"B-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. | [
"ਭਾਰਤ",
"ਸੋਨੇ",
"ਦਾ",
"ਸਭ",
"ਤੋਂ",
"ਵੱਡਾ",
"ਦਰਾਮਦਕਾਰ",
"ਹੈ",
"।"
] | [
"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. | [
"ਹੇਠਲੀ",
"ਅਦਾਲਤ",
"ਨੇ",
"ਸੱਜਣ",
"ਕੁਮਾਰ",
"ਨੂੰ",
"ਬਰੀ",
"ਕਰ",
"ਦਿਤਾ",
"ਸੀ",
"।"
] | [
"O",
"O",
"O",
"B-PER",
"I-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. | [
"ਕੈਬਨਿਟ",
"ਮੰਤਰੀ",
"ਸੁਖਜਿੰਦਰ",
"ਸਿੰਘ",
"ਰੰਧਾਵਾ",
"ਨੇ",
"ਕਿਹਾ",
"ਕਿ",
"ਸ੍ਰੀ",
"ਗੁਰੂ",
"ਨਾਨਕ",
"ਦੇਵ",
"ਜੀ",
"ਨੇ",
"ਖੇਤੀ",
"ਨੂੰ",
"ਮੁੱਢਲੀ",
"ਮਹੱਤਤਾ",
"ਦਿੱਤੀ",
"ਅਤੇ",
"ਉਹਨਾਂ",
"ਨੇ",
"ਖੁਦ",
"ਵੀ",
"ਖੇਤੀ",
"ਕੀਤੀ",
",",
"ਇਸ",
"ਲਈ",
"ਪੰਜਾਬ",
"ਦੇ",
"ਲੋਕਾਂ",
"ਦਾ",
"ਇਸ",
"ਖੇਤਰ",
"ਨਾਲ",
"ਧਾਰਮਿਕ",
"ਸਬੰਧ",
"ਹੈ",
"।"
] | [
"O",
"O",
"B-PER",
"I-PER",
"I-PER",
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"I-PER",
"I-PER",
"O",
"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"
] |
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. | [
"ਪਰ",
"ਪਰਿਵਾਰਕ",
"ਮੈਂਬਰ",
"ਹਾਲੇ",
"ਬਿਆਨ",
"ਦੇਣ",
"ਨਹੀਂ",
"ਪੁੱਜੇ",
"।"
] | [
"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. | [
"ਇਨਕਮ",
"ਵਿਭਾਗ",
"ਨੇ",
"ਕਥਿਤ",
"ਤੌਰ",
"'",
"ਤੇ",
"ਚੋਰੀ",
"ਅਤੇ",
"ਹਵਾਲਾ",
"ਲੈਣ",
"-",
"ਦੇਣ",
"ਲਈ",
"ਬੈਂਗਲੁਰੂ",
"ਦੀ",
"ਇਕ",
"ਅਦਾਲਤ",
"'",
"ਚ",
"ਸ਼ਿਵਕੁਮਾਰ",
"ਅਤੇ",
"ਹੋਰਾਂ",
"ਖਿਲਾਫ",
"ਦੋਸ਼ਪੱਤਰ",
"ਦਾਇਰ",
"ਕੀਤਾ",
"ਸੀ",
",",
"ਜਿਸ",
"ਦੇ",
"ਆਧਾਰ",
"'",
"ਤੇ",
"ਅਪਰਾਧਿਕ",
"ਮਾਮਲਾ",
"ਦਰਜ",
"ਕੀਤਾ",
"ਗਿਆ",
"ਸੀ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-LOC",
"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"
] |
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. | [
"ਹਿਮਾਚਲ",
"ਨੇ",
"ਟਾਸ",
"ਜਿੱਤ",
"ਕੇ",
"ਪਹਿਲਾਂ",
"ਬੱਲੇਬਾਜ਼ੀ",
"ਕਰਨ",
"ਦਾ",
"ਫ਼ੈਸਲਾ",
"ਕੀਤਾ",
"।"
] | [
"B-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. | [
"ਕਾਂਗਰਸੀ",
"ਆਗੂਆਂ",
"ਨੇ",
"ਇਸ",
"ਬਾਰੇ",
"ਡਿਪਟੀ",
"ਕਮਿਸ਼ਨਰ",
"ਨੂੰ",
"ਮੰਗ",
"ਪੱਤਰ",
"ਵੀ",
"ਸੌਂਪਿਆ",
"।"
] | [
"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. | [
"ਬ੍ਰਜੋਮੋਹੂਨ",
"ਕਾਲਜ",
"ਵਿਚ",
"ਪੜ੍ਹਦਿਆਂ",
"ਉਹ",
"ਰੋਜ਼ੀ",
"-",
"ਰੋਟੀ",
"ਲਈ",
"ਕੋਲਕਾਤਾ",
"ਚਲਾ",
"ਗਿਆ",
"।"
] | [
"B-ORG",
"I-ORG",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-LOC",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, 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. | [
"ਸੀਐੱਮ",
"ਦੇਵੇਂਦਰ",
"ਫਡਣਵੀਸ",
"ਦੱਖਣੀ",
"ਪੱਛਮੀ",
"ਨਾਗਪੁਰ",
"ਦੀ",
"ਸੀਟ",
"ਤੋਂ",
"ਚੋਣ",
"ਲੜਨਗੇ",
"।"
] | [
"O",
"B-PER",
"I-PER",
"B-LOC",
"I-LOC",
"I-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. | [
"ਅੰਬੇਦਕਰ",
"ਨੂੰ",
"ਸ਼ਰਧਾਂਜਲੀ",
"ਦਿੱਤੀ",
"।"
] | [
"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. | [
"ਮਹਾਂਰਾਸ਼ਟਰ",
"ਵਿੱਚ",
"ਭਾਜਪਾ",
"-",
"ਸ਼ਿਵ",
"ਸੈਨਾ",
"ਗਠਜੋੜ",
"ਸਰਕਾਰ",
"ਵਿੱਚ",
"ਦੋ",
"ਹੀ",
"ਮਹਿਲਾ",
"ਮੰਤਰੀ",
"ਹਨ",
"-",
"ਪੰਕਜਾ",
"ਮੁੰਡੇ",
"ਅਤੇ",
"ਵਿੱਦਿਆ",
"ਠਾਕੁਰ",
"।"
] | [
"B-LOC",
"O",
"O",
"O",
"B-ORG",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"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. | [
"ਹਾਲਾਂਕਿ",
"ਬਿਹਾਰ",
"ਦੇ",
"ਇਸ",
"ਮਾਮਲੇ",
"ਵਿੱਚ",
"ਮੁੱਖ",
"ਮੰਤਰੀ",
"ਨਿਤਿਸ਼",
"ਕੁਮਾਰ",
"ਨਾਰਾਜ਼",
"ਹਨ",
"।"
] | [
"O",
"B-LOC",
"O",
"O",
"O",
"O",
"O",
"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. | [
"ਗੁਰੂ",
"ਨਾਨਕ",
"ਦੇਵ",
"ਦੇ",
"550ਵੇਂ",
"ਪ੍ਰਕਾਸ਼",
"ਪੁਰਬ",
"ਨੂੰ",
"ਸਮਰਪਿਤ",
"ਸਿੱਕਾ",
"ਜਾਰੀ",
"ਕਰਦੇ",
"ਹੋਏ",
"ਉਪ",
"ਰਾਸ਼ਟਰਪਤੀ",
"ਐਮ",
"ਵੈਂਕਈਆ",
"ਨਾਇਡੂ",
"।"
] | [
"B-PER",
"I-PER",
"I-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"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. | [
"ਉਨ੍ਹਾਂ",
"ਦੱਸਿਆ",
"ਕਿ",
"ਤਸਕਰ",
"ਨੂੰ",
"ਗ੍ਰਿਫਤਾਰ",
"ਕਰ",
"ਲਿਆ",
"।"
] | [
"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",
"ਘਟਨਾ",
"'",
"ਤੇ",
"ਦੁੱਖ",
"ਪ੍ਰਗਟਾਉਂਦੇ",
"ਹੋਏ",
"ਪ੍ਰਧਾਨ",
"ਮੰਤਰੀ",
"ਨਰਿੰਦਰ"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-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. | [
"Berat",
"ਦੇ",
"ਕੋਲ",
"ਜਲਵਾਯੂ",
"ਹਲਾਤਾਂ",
"ਲਈ",
"ਅਨੁਕੂਲ",
"ਹੈ",
"ਖੇਤੀ",
"ਅਤੇ",
"ਸਬੰਧਤ",
"ਖੇਤੀਬਾੜੀ",
"ਉਦਯੋਗੋਂ",
"।"
] | [
"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. | [
"ਇਸ",
"ਗੈਪ",
"ਨੂੰ",
"ਭਰਨ",
"ਲਈ",
"ਇਸੇ",
"ਮਹੀਨੇ",
"15",
"ਦਿਨ",
"ਦੀ",
"ਇੱਕ",
"ਵਿਸ਼ੇਸ਼",
"ਮੁਹਿੰਮ",
"ਵੀ",
"ਚਲਾਈ",
"ਗਈ",
",",
"ਜਿਸ",
"ਨਾਲ",
"40",
"ਲੱਖ",
"ਤੋਂ",
"ਅਧਿਕ",
"ਕਿਸਾਨਾਂ",
"ਨੂੰ",
"KCC",
"ਨਾਲ",
"ਜੋੜਿਆ",
"ਗਿਆ",
"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",
"B-ORG",
"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. | [
"ਸਾਬਕਾ",
"ਕ੍ਰਿਕਟਰ",
"ਗੌਤਮ",
"ਗੰਭੀਰ",
"ਭਾਜਪਾ",
"'",
"ਚ",
"ਹੋਏ",
"ਸ਼ਾਮਲ",
",",
"ਦਿੱਲੀ",
"ਤੋਂ",
"ਲੜ",
"ਸਕਦੇ",
"ਨੇ",
"ਚੋਣਾਂ"
] | [
"O",
"O",
"B-PER",
"I-PER",
"O",
"O",
"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. | [
"ਭੁੱਚੋ",
"ਮੰਡੀ",
",",
"20",
"ਸਤੰਬਰ"
] | [
"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. | [
"ਮਿ੍ਤਕਾਂ",
"ਦੀ",
"ਪਛਾਣ",
"ਰਾਮਪਾਲ",
"ਸ਼ਰਮਾ",
"ਅਤੇ",
"ਉਸ",
"ਦੇ",
"ਪੁੱਤਰ",
"ਸਾਯਨ",
"ਸ਼ਰਮਾ",
"ਵਜੋਂ",
"ਹੋਈ",
"ਹੈ",
"।"
] | [
"O",
"O",
"O",
"B-PER",
"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. | [
"ਕੋਵਿਡ",
"-",
"19",
"ਮਹਾਂਮਾਰੀ",
"ਦੇ",
"ਕਾਰਨ",
"ਲਗਾਏ",
"ਗਏ",
"ਲਾਕਡਾਊਨ",
"ਦੌਰਾਨ",
",",
"ਜਦੋਂ",
"ਹੋਰਸਾਰੇ",
"ਆਰਥਿਕ",
"ਖੇਤਰ",
"ਨਕਾਰਾਤਮਕ",
"ਅੰਕੜੇ",
"ਦਿਖਾ",
"ਰਹੇ",
"ਸਨ",
",",
"ਖੇਤੀਬਾੜੀ",
"ਸੈਕਟਰ",
"ਨੇ",
"ਸਕਾਰਾਤਮਕ",
"ਰੁਝਾਨ",
"ਦਿਖਾਇਆ",
"ਅਤੇ",
"ਪੰਜਾਬ",
"ਦੀ",
"ਛੇਤੀ",
"ਬਹਾਲੀ",
"ਵਿਚ",
"ਆਪਣਾ",
"ਯੋਗਦਾਨ",
"ਪਾਇਆ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-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. | [
"ਭਾਈ",
"ਹਵਾਰਾ",
"ਇਸ",
"ਵੇਲੇ",
"ਦਿੱਲੀ",
"ਦੀ",
"ਤਿਹਾੜ",
"ਜੇਲ੍ਹ",
"ਵਿਖੇ",
"ਨਜ਼ਰਬੰਦ",
"ਹਨ",
"।"
] | [
"O",
"B-PER",
"O",
"O",
"B-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. | [
"ਇਸ",
"ਨਾਲ",
"ਲੋਕਾਂ",
"'",
"ਚ",
"ਰੋਸ",
"ਵਧ",
"ਰਿਹਾ",
"ਹੈ",
"।"
] | [
"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. | [
"ਅੰਮ੍ਰਿਤਸਰ",
"ਵਿੱਚ",
"ਵਿਰਸਾ",
"ਵਿਹਾਰ",
"ਸੁਸਾਇਟੀ",
"ਵਿਖੇ",
"ਗੁਰੂ",
"ਨਾਨਕ",
"ਦੇਵ",
"ਯੂਨੀਵਰਸਿਟੀ",
"ਦੇ",
"ਵਾਈਸ",
"ਚਾਂਸਲਰ",
"ਪ੍ਰੋ",
"."
] | [
"B-LOC",
"O",
"O",
"O",
"O",
"O",
"B-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"O",
"O",
"O",
"B-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. | [
"ਲੋਕਾਂ",
"ਨੂੰ",
"ਵਿਕਾਸ",
"ਵਾਸਤੇ",
"ਵੋਟ",
"ਪਾਉਣ",
"ਲਈ",
"ਕਹਿੰਦੇ",
"ਹੋਏ",
"ਸ਼",
"ਬਾਦਲ",
"ਨੇ",
"ਕਿਹਾ",
"ਕਿ",
"ਅਕਾਲੀ",
"-",
"ਭਾਜਪਾ",
"ਗਠਜੋੜ",
"ਆਪਣੀ",
"ਕਾਰਗੁਜ਼ਾਰੀ",
"ਵਾਸਤੇ",
"ਤੁਹਾਡੀ",
"ਵੋਟ",
"ਮੰਗਦਾ",
"ਹੈ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-ORG",
"O",
"B-ORG",
"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. | [
"ਮੁੱਖ",
"ਸਕੱਤਰ",
"ਨਾਲ",
"ਕੁੱਟਮਾਰ",
"ਦਾ",
"ਮਾਮਲਾ",
"ਨਵੀਂ",
"ਦਿੱਲੀ",
"/",
":",
"ਦਿੱਲੀ",
"ਪੁਲਿਸ",
"ਵੱਲੋਂ",
"ਦਿੱਲੀ",
"ਦੇ",
"ਮੁੱਖ",
"ਸਕੱਤਰ",
"ਅੰਸ਼ੂ",
"ਪ੍ਰਕਾਸ਼",
"ਮਾਮਲੇ",
"ਦੀ",
"ਚਾਰਜਸ਼ੀਟ",
"ਅਦਾਲਤ",
"ਵਿੱਚ",
"ਦਾਖ਼ਲ",
"ਕਰ",
"ਦਿੱਤੀ",
"ਗਈ",
"ਜਿਸ",
"ਵਿੱਚ",
"ਦਿੱਲੀ",
"ਦੇ",
"ਮੁੱਖ",
"ਮੰਤਰੀ",
"ਅਰਵਿੰਦ",
"ਕੇਜਰੀਵਾਲ",
",",
"ਉਪ",
"ਮੁੱਖ",
"ਮੰਤਰੀ",
"ਮਨੀਸ਼",
"ਸਿਸੋਦੀਆ",
"ਤੇ",
"11",
"ਵਿਧਾਇਕਾਂ",
"ਦੇ",
"ਨਾਂ",
"ਸ਼ਾਮਲ",
"ਹਨ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"B-LOC",
"I-LOC",
"O",
"O",
"B-ORG",
"I-ORG",
"O",
"B-LOC",
"O",
"O",
"O",
"B-ORG",
"B-PER",
"I-ORG",
"O",
"B-LOC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"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",
"ਦਾ",
"ਕਾਰਨ",
"ਇਹ",
"ਹੈ",
"ਕਿ",
"ਵਿਸ਼ਾਲ",
"ਰਿਫ਼ਟ",
"ਘਾਟੀ",
",",
"ਯਾਨੀ",
"ਭੂਮੱਧ",
"ਸਾਗਰੀ",
"ਅਤੇ",
"ਅਰਬ",
"ਸਾਗਰੀ",
"ਪਰਤਾਂ",
"ਵਿਚਲੀ",
"ਦਰਾੜ",
"ਠੀਕ",
"ਇਜ਼ਰਾਈਲ",
"ਵਿਚ",
"ਉੱਤਰ",
"ਤੋਂ",
"ਦੱਖਣ",
"ਵੱਲ",
"ਪਸਰੀ",
"ਹੋਈ",
"ਹੈ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"B-LOC",
"I-LOC",
"I-LOC",
"O",
"O",
"O",
"O",
"O",
"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. | [
"ਉਨ੍ਹਾਂ",
"ਕਿਹਾ",
"ਕਿ",
"ਕੋਈ",
"ਵੀ",
"ਫ਼ੈਸਲਾ",
"ਯੂਪੀਏ",
"ਬਨਾਮ",
"ਐਨਡੀਏ",
"ਜਾਂ",
"ਸਿਆਸਤ",
"ਦੇ",
"ਆਧਾਰ",
"'",
"ਤੇ",
"ਨਹੀਂ",
"ਲਿਆ",
"ਗਿਆ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"B-ORG",
"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. | [
"ਇਹ",
"ਪੁਰਸਕਾਰ",
"ਤਿੰਨ",
"ਸਮੂਹਾਂ",
"ਵਿੱਚ",
"ਹੋਣਗੇ",
"-",
"ਪਹਿਲੇ",
"ਸਮੂਹ",
"ਵਿੱਚ",
"8",
"ਉੱਤਰ",
"-",
"ਪੂਰਬੀ",
"ਸੂਬੇ",
"ਅਤੇ",
"ਤਿੰਨ",
"ਪਹਾੜੀ",
"ਸੂਬੇ",
"ਉੱਤਰਾਖੰਡ",
",",
"ਹਿਮਾਚਲ",
"ਪ੍ਰਦੇਸ਼",
"ਅਤੇ",
"ਜੰਮੂ",
"-",
"ਕਸ਼ਮੀਰ",
"ਸ਼ਾਮਲ",
"ਹਨ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-LOC",
"O",
"B-LOC",
"I-LOC",
"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. | [
"ਉਸਦੀ",
"ਇੱਕ",
"ਵੱਡੀ",
"ਭੈਣ",
"ਅਤੇ",
"ਇੱਕ",
"ਛੋਟਾ",
"ਭਰਾ",
"ਵੀ",
"ਹੈ",
"।"
] | [
"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. | [
"ਕੋਟਾਲੀਪਾੜਾ",
"ਦੇ",
"ਪੁਲਿਸ",
"ਥਾਣੇ",
"ਦੇ",
"ਇੰਚਾਰਜ",
"ਮੁਹੰਮਦ",
"ਕਮਰੂਲ",
"ਫਾਰੁਕ",
"ਨੇ",
"ਦੱਸਿਆ",
"ਕਿ",
"ਦੋ",
"ਦੋਸ਼ੀਆਂ",
"ਨੂੰ",
"ਗ੍ਰਿਫਤਾਰ",
"ਕਰ",
"ਲਿਆ",
"ਗਿਆ",
"ਹੈ",
"ਤੇ",
"ਬਾਕੀ",
"ਦੋਸ਼ੀਆਂ",
"ਨੂੰ",
"ਫੜਨ",
"ਦੀ",
"ਕੋਸ਼ਿਸ਼",
"ਕੀਤੀ",
"ਜਾ",
"ਰਹੀ",
"ਹੈ",
"।"
] | [
"B-LOC",
"O",
"O",
"O",
"O",
"O",
"B-PER",
"I-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"
] |
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. | [
"ਵੀਰਭੱਦਰ",
"ਕੇਸਃ",
"ਐਲਆਈਸੀ",
"ਏਜੰਟ",
"ਨੂੰ",
"ਅੰਤਰਿਮ",
"ਜ਼ਮਾਨਤ"
] | [
"B-ORG",
"O",
"B-ORG",
"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. | [
"ਤੀਟ",
"Y",
"ਵਿਸਥਾਪਨ"
] | [
"B-ORG",
"I-ORG",
"I-ORG"
] |
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. | [
"\"",
"ਜਦ",
"ਗਲੋਬਲ",
"ਵੋਆਇਸਿਸ",
"ਦਾ",
"ਗਠਨ",
"ਕੀਤਾ",
"ਗਿਆ",
"ਸੀ",
",",
"ਇਸ",
"ਦੇ",
"ਉਦੇਸ਼",
"ਸਨਃ",
"ਪਹਿਲੀ",
",",
"\"",
"\"",
"ਬ੍ਰਿਜ",
"ਬਲੌਗਰਸ",
"\"",
"\"",
"ਦੀ",
"ਇੱਕ",
"ਕਮਿਊਨਿਟੀ",
"ਨੂੰ",
"ਯੋਗ",
"ਅਤੇ",
"ਸਮਰੱਥ",
"ਬਣਾਉਣਾ",
",",
"ਜੋ",
"\"",
"\"",
"ਦੋ",
"ਭਾਸ਼ਾਵਾਂ",
"ਜਾਂ",
"ਦੋ",
"ਸੱਭਿਆਚਾਰਾਂ",
"ਵਿਚਕਾਰ",
"ਇੱਕ",
"ਪੁਲ",
"ਬਣਾ",
"ਸਕਦੇ",
"ਹਨ",
"।",
"\""
] | [
"O",
"O",
"B-ORG",
"I-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",
"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. | [
"ਉਸਨੇ",
"ਮਨੁੱਖੀ",
"ਅਧਿਕਾਰਾਂ",
",",
"ਗਰੰਟੀਆਂ",
",",
"ਔਰਤਾਂ",
",",
"ਬੱਚਿਆਂ",
",",
"ਬੱਚਿਆਂ",
"ਅਤੇ",
"ਅੱਲੜ੍ਹਾਂ",
"ਵਰਗੇ",
"ਮੁੱਦਿਆਂ",
"'",
"ਤੇ",
"ਬੁਏਨਸ",
"ਏਅਰਜ",
"ਦੀ",
"ਡਿਪਟੀ",
"ਡਾਇਨਾ",
"ਮਾਫੀਆ",
"ਦੀ",
"ਵਿਧਾਇਕੀ",
"ਸਲਾਹਕਾਰ",
"ਵਜੋਂ",
"ਵੀ",
"ਕੰਮ",
"ਕੀਤਾ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-LOC",
"I-LOC",
"O",
"O",
"B-PER",
"I-PER",
"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",
"ਕੇਰਲਾ",
"ਸਟੇਟ",
"ਟਰਾਂਸਪੋਰਟ",
"ਬੱਸ",
"ਤੇ",
"ਟਰੱਕ",
"ਵਿਚਾਲੇ",
"ਹੋਈ",
"ਟੱਕਰ",
"'",
"ਚ",
"19",
"ਲੋਕਾਂ",
"ਦੀ",
"ਮੌਤ",
"ਹੋ",
"ਗਈ",
"।"
] | [
"O",
"B-ORG",
"I-ORG",
"I-ORG",
"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. | [
"ਮੁੱਖ",
"ਤੌਰ",
"ਤੇ",
"ਆਪਣੇ",
"ਮਹਾਂ",
"ਗੁਰੂ",
"ਯਿਸੂ",
"ਮਸੀਹ",
"ਦੀ",
"ਰੀਸ",
"ਕਰ",
"ਕੇ",
"।"
] | [
"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. | [
"ਇਹ",
"ਕਦਮ",
"ਅਮਰੀਕੀ",
"ਨਿਵੇਸ਼",
"ਫਰਮਾਂ",
",",
"ਪੈਨਸ਼ਨ",
"ਫੰਡਾਂ",
"ਅਤੇ",
"ਹੋਰਾਂ",
"ਨੂੰ",
"31",
"ਚੀਨੀ",
"ਕੰਪਨੀਆਂ",
"ਦੇ",
"ਸ਼ੇਅਰ",
"ਖਰੀਦਣ",
"ਤੋਂ",
"ਰੋਕਣ",
"ਲਈ",
"ਲਿਆ",
"ਗਿਆ",
"ਹੈ",
",",
"ਜਿਸ",
"ਨੂੰ",
"ਰੱਖਿਆ",
"ਵਿਭਾਗ",
"ਨੇ",
"ਚੀਨੀ",
"ਸੈਨਿਕ",
"ਸਹਾਇਤਾ",
"ਪ੍ਰਾਪਤ",
"ਕੰਪਨੀਆਂ",
"ਕਰਾਰ",
"ਦਿੱਤਾ",
"ਹੈ",
"।"
] | [
"O",
"O",
"B-LOC",
"I-LOC",
"I-LOC",
"I-LOC",
"I-LOC",
"I-LOC",
"I-LOC",
"I-LOC",
"I-LOC",
"I-LOC",
"I-LOC",
"I-LOC",
"I-LOC",
"I-LOC",
"I-LOC",
"I-LOC",
"I-LOC",
"I-LOC",
"I-LOC",
"I-LOC",
"O",
"O",
"O",
"O",
"B-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. | [
"ਇਸੇ",
"ਤਰਾਂ",
",",
"ਸਪਿੱਨ",
"ਦੇ",
"-",
"ħ",
"/",
"2",
"ਨਾਪੇ",
"ਜਾਣ",
"ਦੀ",
"ਪ੍ਰੋਬੇਬਿਲਟੀ",
"।",
"⟨",
"ψ",
"x",
"−",
"।",
"ψ",
"⟩",
"।",
"2",
"\\vert",
"\\psi",
"\\rangle",
"\\right\\vert",
"^",
"{",
"2",
"}",
"}",
"ਹੁੰਦੀ",
"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"
] |
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. | [
"ਰੱਖਿਆ",
"ਮੰਤਰੀ",
"ਲਿੰਡਾ",
"ਰੇਨੋਲਡਜ਼",
"ਦੇ",
"ਹਵਾਲੇ",
"ਨਾਲ",
"ਕਿਹਾ",
"ਗਿਆ",
"ਹੈ",
"ਕਿ",
"ਇਸ",
"ਵਿਚ",
"ਕੋਈ",
"ਸ਼ੱਕ",
"ਨਹੀਂ",
"ਹੈ",
"ਕਿ",
"ਖਤਰਨਾਕ",
"ਸਾਈਬਰ",
"ਗਤੀਵਿਧੀਆਂ",
"ਦੀ",
"ਬਾਰੰਬਾਰਤਾ",
",",
"ਪੈਮਾਨੇ",
",",
"ਸੂਝ",
"-",
"ਬੂਝ",
"ਅਤੇ",
"ਇਸ",
"ਦੇ",
"ਪ੍ਰਭਾਵ",
"ਵਿਚ",
"ਵਾਧਾ",
"ਹੋ",
"ਰਿਹਾ",
"ਹੈ",
"।"
] | [
"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",
"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. | [
"ਕੇਂਦਰੀ",
"ਗ੍ਰਹਿ",
"ਮੰਤਰਾਲਾ",
"ਦੇ",
"ਸੂਤਰਾਂ",
"ਨੇ",
"ਦਿੱਲੀ",
"'",
"ਚ",
"ਦੱਸਿਆ",
"ਕਿ",
"ਬੀ",
".",
"ਐੱਸ",
".",
"ਐੱਫ",
".",
"ਦੀ",
"35",
"ਸਣੇ",
"ਇਸ",
"ਨੀਮ",
"ਫੌਜੀ",
"ਬਲ",
"ਦੀ",
"100",
"ਕੰਪਨੀਆਂ",
"ਲੋਕ",
"ਸਭਾ",
"ਚੋਣਾਂ",
"ਤੋਂ",
"ਪਹਿਲਾਂ",
"ਨਿਯਮਤ",
"ਅਭਿਆਸ",
"ਲਈ",
"ਤਾਇਨਾਤ",
"ਕੀਤੀ",
"ਜਾ",
"ਰਹੀ",
"ਹੈ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"B-LOC",
"O",
"O",
"O",
"O",
"B-ORG",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"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. | [
"ਪ੍ਰਭਾਵਃ",
"ਸਹਿਮਤੀ",
"ਪੱਤਰ",
"ਨਾਲ",
"ਡੀਜੀਐੱਮਐੱਸ",
"ਅਤੇ",
"ਐੱਸਆਈਐੱਮਟੀਏਆਰਐੱਸ",
"ਦਰਮਿਆਨ",
"ਹੇਠ",
"ਲਿਖਿਆਂ",
"ਲਈ",
"ਸਾਂਝੇਦਾਰੀ",
"ਕਾਇਮ",
"ਕਰਨ",
"ਵਿੱਚ",
"ਮਦਦ",
"ਮਿਲੇਗੀਃ",
"ਜੋਖ਼ਮ",
"ਅਧਾਰਤ",
"ਪ੍ਰਬੰਧਨ",
"ਪ੍ਰਣਾਲੀ",
"ਲਾਗੂਕਰਨ",
",",
"ਸਿਖਲਾਈ",
"ਪ੍ਰਦਾਨ",
"ਕਰਨਾ",
",",
"ਕਾਨਫਰੰਸ",
",",
"ਸੈਮੀਨਾਰ",
"ਅਤੇ",
"ਹੋਰ",
"ਤਕਨੀਕੀ",
"ਬੈਠਕਾਂ",
"ਦਾ",
"ਆਯੋਜਨ",
",",
"ਵਪਾਰਕ",
"ਸੁਰੱਖਿਆ",
"ਅਤੇ",
"ਸਿਹਤ",
"ਅਕਾਦਮੀ",
"ਅਤੇ",
"ਰਾਸ਼ਟਰੀ",
"ਖਨਨ",
"ਆਪਦਾ",
"ਕੇਂਦਰ",
"ਦੀ",
"ਸਥਾਪਨਾ",
"ਅਤੇ",
"ਡੀਜੀਐੱਮਐੱਸ",
"ਵਿੱਚ",
"ਖੋਜ",
"ਤੇ",
"ਵਿਕਾਸ",
"ਪ੍ਰਯੋਗਸ਼ਾਲਾ",
"ਦਾ",
"ਆਧੁਨਿਕੀਕਰਨ",
"।"
] | [
"O",
"O",
"O",
"O",
"B-ORG",
"O",
"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",
"O",
"O",
"O",
"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. | [
"ਭਾਰਤੀ",
"ਰੇਲਵੇ",
"ਨੇ",
"ਲੌਕਡਾਊਨ",
"ਦੀ",
"ਸ਼ੂਰਆਤ",
"ਤੋਂ",
"ਹੀ",
"ਦੇਸ਼",
"ਦੇ",
"ਦੂਰ",
"-",
"ਦੁਰਾਡੇ",
"ਟਿਕਾਣਿਆਂ",
"'",
"ਤੇ",
"ਭੋਜਨ",
"ਅਤੇ",
"ਦਵਾਈਆਂ",
"ਜਿਹੀਆਂ",
"ਵਸਤਾਂ",
"ਦੀ",
"ਸਪਲਾਈ",
"ਚੇਨ",
"ਅਤੇ",
"ਲੌਜਿਸਟਿਕ",
"ਲਿਜਾਣ",
"ਵਿੱਚ",
"ਇੱਕ",
"ਮਹੱਤਵਪੂਰਨ",
"ਭੂਮਿਕਾ",
"ਨਿਭਾਈ",
"ਹੈ",
"।"
] | [
"B-ORG",
"I-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"
] |
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. | [
"ਖੁਰਾਣਾ",
"ਪਰਿਵਾਰ",
"ਦੀ",
"ਅਰਜ਼ੀ",
"'",
"ਤੇ",
"ਪੰਜਾਬ",
"ਅਤੇ",
"ਹਰਿਆਣਾ",
"ਹਾਈ",
"ਕੋਰਟ",
"ਨੇ",
"ਜਾਂਚ",
"ਦਾ",
"ਕੰਮ",
"ਸੀਬੀਆਈ",
"ਨੂੰ",
"ਦਿੱਤਾ",
"ਸੀ",
"।"
] | [
"B-PER",
"O",
"O",
"O",
"O",
"O",
"B-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"O",
"O",
"O",
"O",
"B-ORG",
"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. | [
"ਮੋਇਲੀ",
"ਨੇ",
"ਪਿਛਲੇ",
"ਹਫ਼ਤੇ",
"ਹੀ",
"ਕਿਹਾ",
"ਸੀ",
"ਕਿ",
"ਲੋਕ",
"ਸਭਾ",
"ਚੋਣਾਂ",
"'",
"ਚ",
"ਜ਼ਬਰਦਸਤ",
"ਹਾਰ",
"ਤੋਂ",
"ਬਾਅਦ",
"ਕਾਂਗਰਸ",
"ਨੂੰ",
"ਇਕ",
"ਵੱਡੇ",
"ਆਪਰੇਸ਼ਨ",
"ਦੀ",
"ਜ਼ਰੂਰਤ",
"ਹੈ",
"।"
] | [
"B-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-ORG",
"O",
"O",
"O",
"O",
"O",
"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. | [
"ਇਸ",
"ਕਾਰਨ",
"ਲੋਕਾਂ",
"ਨੂੰ",
"ਭਾਰੀ",
"ਮੁਸ਼ਕਲਾਂ",
"ਦਾ",
"ਸਾਹਮਣਾ",
"ਕਰਨਾ",
"ਪਿਆ",
"।"
] | [
"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. | [
"'",
"ਸੰਜੂ",
"'",
"ਬਾਇਓਪਿਕ",
"ਵਿੱਚ",
"ਰਣਬੀਰ",
"ਸੰਜੇ",
"ਦੱਤ",
"ਦੇ",
"ਕਿਰਦਾਰ",
"ਵਿੱਚ",
"ਨਜ਼ਰ",
"ਆ",
"ਰਹੇ",
"ਹਨ",
"।"
] | [
"O",
"B-LOC",
"O",
"O",
"O",
"B-PER",
"O",
"B-PER",
"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. | [
"ਉਹ",
"ਮਾਂਟੀਰੀਅਲ",
"ਓਲੰਪਿਕ",
"ਵੀ",
"ਖੇਡਿਆ",
"।"
] | [
"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. | [
"ਚੰਡੀਗੜ",
"-",
"ਹਰਿਆਣਾ",
"ਦੇ",
"ਮੁੱਖ",
"ਮੰਤਰੀ",
"ਮਨੋਹਰ",
"ਲਾਲ",
"ਨੇ",
"ਰਾਜ",
"ਵਿਚ",
"ਵੱਖ",
"-",
"ਵੱਖ",
"ਸੜਕਾਂ",
"ਨੂੰ",
"ਚੌੜਾ",
"ਅਤੇ",
"ਮਜਬੂਤ",
"ਕਰਨ",
"ਲਈ",
"24.65",
"ਕਰੋੜ",
"ਰੁਪਏ",
"ਤੋਂ",
"ਵੱਧ",
"ਦੀ",
"ਰਕਮ",
"ਨੂੰ",
"ਪ੍ਰਸ਼ਾਸਨਿਕ",
"ਪ੍ਰਵਾਨਗੀ",
"ਦਿੱਤੀ",
"।"
] | [
"O",
"O",
"B-LOC",
"O",
"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"
] |