instructions
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100
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You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਫੌਜ",
"ਦੇ",
"ਬੁਲਾਰੇ",
"ਮੇਜਰ",
"ਜਨਰਲ",
"ਆਸਿਫ",
"ਗਫੂਰ",
"ਨੇ",
"ਪੱਤਰਕਾਰਾਂ",
"ਨਾਲ",
"ਗੱਲਬਾਤ",
"ਵੀ",
"ਕੀਤੀ",
"।"
] | [
"B-ORG",
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਪ੍ਰਧਾਨ",
"ਮੰਤਰੀ",
"ਇਮਰਾਨ",
"ਖ਼ਾਨ",
"ਨੇ",
"ਘਟਨਾ",
"ਦੀ",
"ਜਾਂਚ",
"ਦੇ",
"ਨਿਰਦੇਸ਼",
"ਦਿੱਤੇ",
"ਹਨ",
"।"
] | [
"O",
"O",
"B-PER",
"I-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. | [
"ਪੰਜਾਬ",
"ਸਰਕਾਰ",
"ਨੇ",
"ਤਿੰਨ",
"ਆਈਏਐਸ",
"ਅਤੇ",
"ਤਿੰਨ",
"ਪੀਸੀਐਸ",
"ਅਧਿਕਾਰੀਆਂ",
"ਦੇ",
"ਤਬਾਦਲੇ",
"ਕੀਤੇ",
"ਹਨ",
"।"
] | [
"O",
"O",
"O",
"O",
"B-ORG",
"O",
"O",
"B-ORG",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਰਾਸ਼ਟਰੀ",
"ਬਾਗਬਾਨੀ",
"ਬੋਰਡ",
"(",
"ਐੱਨਐੱਚਬੀ",
")",
"ਨੇ",
"ਨਰਸਰੀਆਂ",
"ਦੇ",
"ਸਟਾਰ",
"-",
"ਰੇਟਿਡ",
"(",
"star",
"-",
"rated",
")",
"ਸਰਟੀਫਿਕੇਟ",
"ਦੀ",
"ਮਿਆਦ",
"30",
"ਸਤੰਬਰ",
"2020",
"ਤੱਕ",
"ਵਧਾ",
"ਦਿੱਤੀ",
"ਹੈ",
",",
"ਜਿਸ",
"ਦੀ",
"ਮਿਆਦ",
"30",
"ਜੂਨ",
"2020",
"ਨੂੰ",
"ਸਮਾਪਤ",
"ਹੋ",
"ਰਹੀ",
"ਸੀ",
"।"
] | [
"B-ORG",
"I-ORG",
"I-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"
] |
You are an NLP assistant whose purpose is to 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",
"ਸਬ",
"-",
"ਕਮੇਟੀ",
"ਸਿਹਤ",
"ਮੰਤਰੀ",
"ਬ੍ਰਹਮ",
"ਮਹਿੰਦਰਾ",
"ਦੀ",
"ਅਗਵਾਈ",
"ਵਿੱਚ",
"ਕੰਮ",
"ਕਰੇਗੀ",
"ਜਿਸ",
"ਵਿੱਚ",
"ਵਿੱਤ",
"ਮੰਤਰੀ",
"ਮਨਪ੍ਰੀਤ",
"ਬਾਦਲ",
",",
"ਸਥਾਨਕ",
"ਸਰਕਾਰਾਂ",
"ਬਾਰੇ",
"ਮੰਤਰੀ",
"ਨਵਜੋਤ",
"ਸਿੰਘ",
"ਸਿੱਧੂ",
",",
"ਤਕਨੀਕੀ",
"ਸਿੱਖਿਆ",
"ਮੰਤਰੀ",
"ਚਰਨਜੀਤ",
"ਸਿੰਘ",
"ਚੰਨੀ",
"ਅਤੇ",
"ਪੇਂਡੂ",
"ਵਿਕਾਸ",
"ਮੰਤਰੀ",
"ਤ੍ਰਿਪਤ",
"ਰਜਿੰਦਰ",
"ਸਿੰਘ",
"ਬਾਜਵਾ",
"ਮੈਂਬਰ",
"ਹੋਣਗੇ",
"।"
] | [
"O",
"B-ORG",
"I-ORG",
"I-ORG",
"O",
"O",
"B-PER",
"I-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"O",
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"I-PER",
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"I-PER",
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"I-PER",
"I-PER",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਸੂਤਰਾਂ",
"ਨੇ",
"ਕਿਹਾ",
"ਕਿ",
"ਗੋਲੀਬਾਰੀ",
"'",
"ਚ",
"31",
"ਰਾਸ਼ਟਰੀ",
"ਰਾਈਫਲਜ਼",
"ਦਾ",
"ਕਮਾਂਡੋ",
"ਜ਼ਖ਼ਮੀ",
"ਹੋ",
"ਗਿਆ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-ORG",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਪ੍ਰਧਾਨ",
"ਮੰਤਰੀ",
"ਨੇ",
"ਇਹ",
"ਨੁਕਤਾ",
"ਵੀ",
"ਉਜਾਗਰ",
"ਕੀਤਾ",
"ਕਿ",
"ਸੰਕਟ",
"ਦੌਰਾਨ",
"ਭਾਰਤ",
"ਨੇ",
"ਇਨਸਾਨੀਅਤ",
"ਦੀ",
"ਜ਼ਿੰਮੇਵਾਰੀ",
"ਨਿਭਾਉਂਦਿਆਂ",
"ਭਾਰਤ",
"ਨੇ",
"ਦੁਨੀਆ",
"'",
"ਚ",
"ਜ਼ਰੂਰਤਮੰਦਾਂ",
"ਨੂੰ",
"ਮੈਡੀਕਲ",
"ਸਪਲਾਈਜ਼",
"ਮੁਹੱਈਆ",
"ਕਰਵਾਈਆਂ",
"ਹਨ",
"।"
] | [
"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",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਜਿਸ",
"ਕਾਰਨ",
"ਗੰਭੀਰ",
"ਜਖਮੀ",
"ਹਾਲਤ",
"ਵਿੱਚ",
"ਉਸਨੂੰ",
"ਗੁਰੂ",
"ਗੋਬਿੰਦ",
"ਸਿੰਘ",
"ਮੈਡੀਕਲ",
"ਕਾਲਜ",
"ਵਿੱਚ",
"ਭਰਤੀ",
"ਕਰਵਾਇਆ",
"ਗਿਆ",
"ਜਿੱਥੇ",
"ਉੱਤੇ",
"ਉਸ",
"ਨੇ",
"ਦਮ",
"ਤੋੜ",
"ਦਿੱਤਾ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-LOC",
"I-LOC",
"I-LOC",
"I-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. | [
"ਰਾਹੁਲ",
"ਗਾਂਧੀ",
"ਨੇ",
"ਮੀਡੀਆ",
"ਨੂੰ",
"ਦਿੱਤੇ",
"ਆਪਣੇ",
"ਬਿਆਨ",
"ਵਿਚ",
"ਅਨਿਲ",
"ਅੰਬਾਨੀ",
"ਨੂੰ",
"ਕ੍ਰੋਨੀ",
"ਕੈਪੀਟਲਿਸਟ",
"ਅਤੇ",
"ਬੇਈਮਾਨ",
"ਦੱਸਿਆ",
"।"
] | [
"O",
"B-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਇਹ",
"ਫੈਸਲਾ",
"ਮੁੱਖ",
"ਮੰਤਰੀ",
"ਕੈਪਟਨ",
"ਅਮਰਿੰਦਰ",
"ਸਿੰਘ",
"ਦੀ",
"ਪ੍ਰਧਾਨਗੀ",
"ਹੇਠ",
"ਵੀਡਿਓ",
"ਕਾਨਫਰੰਸ",
"ਰਾਹੀਂ",
"ਹੋਈ",
"ਕੈਬਨਿਟ",
"ਮੀਟਿੰਗ",
"ਵਿੱਚ",
"ਲਿਆ",
"ਗਿਆ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"B-PER",
"I-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. | [
"ਕਾਂਗਰਸ",
"ਨੇ",
"ਭਾਜਪਾ",
"ਤੋਂ",
"ਖੋਹੀ",
"ਜੈਨਗਰ",
"ਵਿਧਾਨ",
"ਸਭਾ",
"ਸੀਟ"
] | [
"B-ORG",
"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. | [
"ਰਾਜਨੀਤਿਕ",
"ਸ਼ਕਤੀ"
] | [
"O",
"O"
] |
You are an NLP assistant whose purpose is to 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. | [
"ਅਨਿਲ",
"ਅੰਬਾਨੀ",
"ਦੀ",
"ਰਿਲਾਇੰਸ",
"ਗਰੁੱਪ",
"ਦੀ",
"ਕੰਪਨੀ",
"ਰਿਲਾਇੰਸ",
"ਕੈਪੀਟਲ",
"ਨੇ",
"ਇੱਕ",
"ਬਿਆਨ",
"ਵਿਚ",
"ਪ੍ਰਸਤਾਵਿਤ",
"ਸੌਦੇ",
"ਨੂੰ",
"ਆਰਸੀਏਪੀ",
"ਗਰੁੱਪ",
"ਨਾਲ",
"ਕੁਝ",
"ਲੋਨ",
"ਸਮਝੌਤਿਆਂ",
"ਦੇ",
"ਤਹਿਤ",
"ਕ੍ਰੈਡਿਟ",
"ਸੁਇਸ",
"ਦੁਆਰਾ",
"ਬਣਾਏ",
"ਅਧਿਕਾਰਾਂ",
"ਦੀ",
"ਸਪੱਸ਼ਟ",
"ਉਲੰਘਣਾ",
"ਕਰਾਰ",
"ਦਿੱਤਾ",
"ਹੈ",
"।"
] | [
"B-PER",
"I-PER",
"O",
"B-ORG",
"I-ORG",
"O",
"O",
"B-ORG",
"I-ORG",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-ORG",
"I-ORG",
"O",
"O",
"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. | [
"ਹੁਣ",
"G",
"-",
"7",
"ਦੇਸ਼ਾਂ",
"'",
"ਚ",
"ਅਮਰੀਕਾ",
"ਤੋਂ",
"ਇਲਾਵਾ",
"ਬ੍ਰਿਟੇਨ",
",",
"ਫਰਾਂਸ",
",",
"ਕੈਨੇਡਾ",
",",
"ਜਰਮਨੀ",
",",
"ਇਟਲੀ",
"ਤੇ",
"ਜਪਾਨ",
"ਸ਼ਾਮਲ",
"ਹਨ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-LOC",
"O",
"O",
"B-LOC",
"O",
"B-LOC",
"O",
"B-LOC",
"O",
"B-LOC",
"O",
"B-LOC",
"O",
"B-LOC",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the 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. | [
"ਮੁੰਬਈਃ",
"ਮਰਹੂਮ",
"ਅਦਾਕਾਰ",
"ਸੁਸ਼ਾਂਤ",
"ਸਿੰਘ",
"ਰਾਜਪੂਤ",
"ਦੀ",
"ਅੰਤਿਮ",
"ਫਿਲਮ",
"'",
"ਦਿਲ",
"ਬੇਚਾਰਾ",
"'",
"ਡਿਜੀਟਲ",
"ਰਿਲੀਜ਼",
"ਲਈ",
"ਤਿਆਰ",
"ਹੈ",
"।"
] | [
"O",
"B-LOC",
"O",
"B-PER",
"I-PER",
"I-PER",
"O",
"O",
"O",
"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. | [
"ਇਸ",
"ਦਾ",
"ਨਿਰਦੇਸ਼ਨ",
"ਕਬੀਰ",
"ਖਾਨ",
"ਨੇ",
"ਕੀਤਾ",
"ਹੈ",
"।"
] | [
"O",
"O",
"O",
"B-PER",
"I-PER",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"□",
"ਝੂਠੇ",
"ਧਰਮ",
"ਨੇ",
"ਕਿਵੇਂ",
"ਕਇਨ",
"ਦੀ",
"ਮਨੋਬਿਰਤੀ",
"ਦਿਖਾਈ",
"ਹੈ",
"?"
] | [
"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. | [
"ਰੇਲਵੇ",
"ਬੋਰਡ",
"ਦੇ",
"ਇਕ",
"ਅਧਿਕਾਰੀ",
"ਨੇ",
"ਕੀਮਤਾਂ",
"ਵਧਾਉਣ",
"ਦਾ",
"ਪੱਖ",
"ਲੈਂਦੇ",
"ਹੋਏ",
"ਕਿਹਾ",
",",
"'",
"ਅਸੀਂ",
"ਰੇਲਵੇ",
"'",
"ਚ",
"ਕੈਟਰਿੰਗ",
"ਸਰਵਿਸ",
"ਦੀ",
"ਗੁਣਵੱਤਾ",
"ਸੁਧਾਰਨਾ",
"ਚਾਹੁੰਦੇ",
"ਹਾਂ",
"।"
] | [
"B-ORG",
"I-ORG",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-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. | [
"ਇਸ",
"ਗਾਣੇ",
"ਦਾ",
"ਮਿਊਜ਼ਿਕ",
"ਦੇਸੀ",
"ਕਰਿਊ",
"ਨੇ",
"ਤਿਆਰ",
"ਕੀਤਾ",
"ਹੈ",
"।"
] | [
"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. | [
"ਉਸਨੇ",
"ਕਿਹਾ",
",",
"\"",
"ਵੈਲੇਨਟਾਈਨ",
"ਡੇਅ",
"ਲਈ",
"ਇਕ",
"ਖ਼ਾਸ",
"ਭੋਜਨ",
",",
"ਲਾਲ",
"ਦੀ",
"ਇਕ",
"ਰਾਖਵੀਂ",
"ਬੋਤਲ",
",",
"\"",
"ਉਸਨੇ",
"ਆਪਣੀ",
"ਆਮ",
"ਹੈਸ਼ਟੈਗ",
"#",
"ਹੈਂਗਿੰਥੇਥੇਡਰ",
"ਡਾਇਮੰਡਪ੍ਰਿੰਸਿਸ",
"ਅਤੇ",
"ਇਕ",
"ਸ਼ਰਾਬ",
"ਦੀ",
"ਬੋਤਲ",
"ਦੀ",
"ਤਸਵੀਰ",
"ਦੇ",
"ਨਾਲ",
"ਕਿਹਾ",
"."
] | [
"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. | [
"ਉਨ੍ਹਾਂ",
"ਕਿਹਾ",
"ਕਿ",
"ਕੇਂਦਰ",
"ਸਰਕਾਰ",
"ਪੰਜਾਬ",
"ਦੇ",
"ਮਾਮਲਿਆਂ",
"ਵਿੱਚ",
"ਵਿਤਕਰਾ",
"ਕਰਦੀ",
"ਆਈ",
"ਹੈ",
"।"
] | [
"O",
"O",
"O",
"B-ORG",
"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. | [
"ਮੋਹਿੰਦਰ",
"ਸਿੰਘ",
"ਅਤੇ",
"ਡਾ",
"."
] | [
"B-PER",
"I-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. | [
"ਅਲਾਹਾਬਾਦ",
"ਖੇਤੀਬਾੜੀ",
"ਸੰਸਥਾ"
] | [
"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. | [
"ਕਿਮ",
"ਨੇ",
"ਲਿਖਿਆ",
"."
] | [
"B-PER",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਸਟੀਵਨ",
"ਸਪੀਲਬਰਗ",
"ਅਤੇ",
"ਗਿਲਰਮੋ",
"ਡੇਲ",
"ਟੋਰੋ",
"ਤੋਂ",
"ਲੈ",
"ਕੇ",
"ਜੈਨੀਫਰ",
"ਲੋਪੇਜ਼",
"ਅਤੇ",
"ਰੀਜ਼",
"ਵਿਦਰਸਪੂਨ",
"ਤੱਕ",
"ਦੇ",
"ਉਦਯੋਗ",
"ਦੇ",
"ਪ੍ਰਮੁੱਖ",
"ਅਤੇ",
"ਸਿਤਾਰਿਆਂ",
"ਨੇ",
"ਨੌਜਵਾਨਾਂ",
"ਲਈ",
"ਕੇਂਦਰਿਤ",
",",
"ਸਮਾਰਟਫੋਨ",
"-",
"ਸਿਰਫ",
"ਸੇਵਾ",
"ਲਈ",
"ਫਿਲਮਾਂ",
"ਅਤੇ",
"ਸ਼ੋਅ",
"ਬਣਾਉਣ",
"ਲਈ",
"ਕਤਾਰਬੱਧ",
"ਕੀਤੇ",
"."
] | [
"B-PER",
"I-PER",
"O",
"B-PER",
"I-PER",
"I-PER",
"O",
"O",
"O",
"B-PER",
"I-PER",
"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"
] |
You are an NLP assistant whose purpose is to 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. | [
"ਉਧਰ",
"ਹਿੰਸਾ",
"ਦੇ",
"ਡਰੋਂ",
"ਦੁਕਾਨਾਂ",
",",
"ਮਿਊਜ਼ੀਅਮ",
",",
"ਦਿ",
"ਆਈਫਲ",
"ਟਾਵਰ",
"ਤੇ",
"ਕਈ",
"ਮੈਟਰੋ",
"ਸਟੇਸ਼ਨ",
"ਬੰਦ",
"ਕਰ",
"ਦਿੱਤੇ",
"ਗਏ",
"ਹਨ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-LOC",
"I-LOC",
"I-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. | [
"ਫਿਲਹਾਲ",
"ਪੁਲਿਸ",
"ਨੇ",
"ਅਣਪਛਾਤੇ",
"ਵਿਅਕਤੀਆਂ",
"ਖ਼ਿਲਾਫ",
"ਹੱਤਿਆ",
"ਦਾ",
"ਮਾਮਲਾ",
"ਦਰਜ",
"ਕੀਤਾ",
"ਹੈ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਬੈਂਕ",
"ਗਾਹਕਾਂ",
"ਲਈ",
"ਖੁਸ਼ਖਬਰੀ",
"!"
] | [
"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. | [
"ਫਿਲਮ",
"ਦੇ",
"ਸਿਰਲੇਖ",
"ਨੂੰ",
"ਇੱਕ",
"ਲੋਕਾਂ",
"ਨੂੰ",
"ਪਿਆਰਾ",
"ਵੋਟ",
"ਵਲੋਂ",
"ਤੈਅ",
"ਕੀਤਾ",
"ਗਿਆ",
".",
"ਮੂਵੀਗੋਅਰਸ",
"ਨੇ",
"ਪੰਜਾਬ",
"ਮੇਲ",
",",
"ਇਸ਼ਕ",
"ਵਾਇਆ",
"ਭਟਿੰਡਾ",
",",
"ਅਤੇ",
"ਜਦੋਂ",
"ਵੀ",
"ਮੇਟ",
"ਦੇ",
"ਵਿਕਲਪ",
"ਦਿੱਤੇ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-ORG",
"I-ORG",
"O",
"B-PER",
"I-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਟਰੰਪ",
"ਨੇ",
"ਕਿਹਾ",
",",
"\"",
"ਸਾਨੂੰ",
"ਕਿਤੇ",
"ਵੀ",
"ਕੱਟੜਪੰਥੀ",
"ਅਤੇ",
"ਪੱਖਪਾਤ",
"ਦਾ",
"ਸਾਹਮਣਾ",
"ਕਰਨ",
"ਲਈ",
"ਮਿਲ",
"ਕੇ",
"ਕੰਮ",
"ਕਰਨ",
"ਦੀ",
"ਲੋੜ",
"ਹੈ",
",",
"ਪਰ",
"ਅਸੀਂ",
"ਕੋਈ",
"ਪ੍ਰਗਤੀ",
"ਨਹੀਂ",
"ਕਰਾਂਗੇ",
"ਅਤੇ",
"ਲੱਖਾਂ",
"ਸਲੀਕੇ",
"ਵਾਲੇ",
"ਅਮਰੀਕੀ",
"ਲੋਕਾਂ",
"ਨੂੰ",
"ਜਾਤੀਗਤ",
"ਜਾਂ",
"ਕੱਟੜਪੰਥੀ",
"ਵਜੋਂ",
"ਝੂਠੇ",
"ਲੇਬਲ",
"ਦੇ",
"ਕੇ",
"ਕੋਈ",
"ਜ਼ਖਮ",
"ਚੰਗਾ",
"ਨਹੀਂ",
"ਕਰਾਂਗੇ",
"।"
] | [
"B-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"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. | [
"ਇਨ੍ਹਾਂ",
"ਤਸਵੀਰਾਂ",
"'",
"ਚ",
"ਦੀਪਿਕਾ",
"ਪਾਦੁਕੋਣ",
"ਤੇ",
"ਰਣਵੀਰ",
"ਭਾਰਤੀ",
"ਪੋਸ਼ਕਾਂ",
"'",
"ਚ",
"ਸਜੇ",
"ਹੋਏ",
"ਨਜ਼ਰ",
"ਆ",
"ਰਹੇ",
"ਸਨ",
"।"
] | [
"O",
"O",
"O",
"O",
"B-PER",
"O",
"O",
"B-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਫੈਡਰਰ",
",",
"ਜੋ",
"ਆਪਣੀ",
"ਦੱਖਣੀ",
"ਅਫਰੀਕਾ",
"ਦੀ",
"ਮਾਂ",
",",
"ਲੀਨੇਟ",
"ਦੇ",
"ਨਾਲ",
"ਸਨ",
",",
"ਨੇ",
"ਕਿਹਾ",
"ਕਿ",
"ਦੱਖਣੀ",
"ਅਫਰੀਕਾ",
"ਵਿੱਚ",
"ਉਸਦੀ",
"ਪਹਿਲੀ",
"ਮੌਜੂਦਗੀ",
"ਇੱਕ",
"ਖ਼ਾਸ",
"ਮੌਕੇ",
"ਸੀ",
"."
] | [
"B-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-LOC",
"I-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. | [
"ਸਿਖਲਾਈ",
"ਸੈਸ਼ਨ",
"."
] | [
"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. | [
"ਉਨਾਂ",
"ਨੇ",
"ਸਿਹਤ",
"ਵਿਭਾਗ",
"ਨੂੰ",
"ਮੱਛਰਾਂ",
"ਦੇ",
"ਫੈਲਾਅ",
"ਨੂੰ",
"ਰੋਕਣ",
"ਲਈ",
"ਹੜ",
"ਪ੍ਰਭਾਵਿਤ",
"ਇਲਾਕਿਆਂ",
"ਵਿਚ",
"ਫੌਗਿੰਗ",
"ਕਰਵਾਉਣ",
"ਲਈ",
"ਆਖਿਆ",
"।"
] | [
"O",
"O",
"B-ORG",
"I-ORG",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਮੁੱਖ",
"ਜੱਜ",
"ਰੰਜਨ",
"ਗੋਗੋਈ",
"ਦੀ",
"ਅਗਵਾਈ",
"ਵਾਲੇ",
"ਬੈਂਚ",
"ਨੇ",
"ਇਹ",
"ਹੁਕਮ",
"ਦਿੱਤਾ",
"ਸੀ",
"।"
] | [
"O",
"O",
"B-PER",
"I-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"SMB",
"ਪਰਿੰਟਰ"
] | [
"O",
"O"
] |
You are an NLP assistant whose purpose is to 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. | [
"ਅੱਜ",
"ਇੱਥੇ",
"ਸਰਕਾਰੀ",
"ਹਸਪਤਾਲ",
"ਵਿੱਚੋਂ",
"ਲਾਸ਼",
"ਦਾ",
"ਪੋਸਟਮਾਰਟਮ",
"ਕਰਵਾਕੇ",
"ਵਾਰਸਾਂ",
"ਹਵਾਲੇ",
"ਕਰ",
"ਦਿੱਤੀ",
"ਗਈ",
"ਹੈ",
"।"
] | [
"O",
"O",
"B-LOC",
"I-LOC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਮੰਤਰਾਲੇ",
"ਨੇ",
"ਇਸ",
"'",
"ਤੇ",
"ਟਿੱਪਣੀ",
"ਤੋਂ",
"ਇਨਕਾਰ",
"ਕਰ",
"ਦਿੱਤਾ",
"ਹੈ",
"।"
] | [
"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. | [
"ਇਸਨੇ",
"ਨਯੂਯਾਰਕ",
"ਯੂਨੀਵਰਸਿਟੀ",
"ਤੋਂ",
"ਇੰਟਰੈਕਟਿਵ",
"ਦੂਰਸੰਚਾਰ",
"ਪ੍ਰੋਗਰਾਮ",
"ਵਿੱਚ",
"ਗ੍ਰੈਜੁਏਟ",
"ਡਿਗਰੀ",
"ਪ੍ਰਾਪਤ",
"ਕੀਤੀ",
"।"
] | [
"O",
"B-ORG",
"I-ORG",
"O",
"B-ORG",
"I-ORG",
"I-ORG",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the 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. | [
"ਜਲੰਧਰ",
"-",
"ਪੰਜਾਬੀ",
"ਗਾਇਕ",
"ਗੁਰੂ",
"ਰੰਧਾਵਾ",
"ਜੋ",
"ਕਿ",
"ਸੋਸ਼ਲ",
"ਮੀਡੀਆ",
"'",
"ਤੇ",
"ਕਾਫੀ",
"ਐਕਟਿਵ",
"ਰਹਿੰਦੇ",
"ਹਨ",
"।"
] | [
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਕੈਬਨਟ",
"ਨੇ",
"ਡਾਇਰੈਕਟਰ",
"ਉਦਯੋਗ",
"ਤੇ",
"ਮਾਈਨਿੰਗ",
"ਦੀ",
"ਅਸਾਮੀ",
"ਵਿੱਚ",
"ਵੀ",
"ਵੰਡ",
"ਕਰਨ",
"ਦਾ",
"ਫੈਸਲਾ",
"ਕੀਤਾ",
"ਹੈ",
"।"
] | [
"O",
"O",
"B-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਐਫਬੀਆਈ",
"ਨੂੰ",
"ਹਰ",
"ਮਹੀਨੇ",
"20",
"ਤੋਂ",
"ਵੱਧ",
"ਕੇਸਾਂ",
"ਦੀ",
"ਰਿਪੋਰਟ",
"ਕੀਤੀ",
"ਜਾਂਦੀ",
"ਹੈ",
"ਅਤੇ",
"ਪੀੜਤ",
"ਦੇ",
"ਨਾਮ",
"ਨੂੰ",
"ਜਨਤਕ",
"ਖੇਤਰ",
"ਤੋਂ",
"ਬਾਹਰ",
"ਰੱਖਣ",
"ਲਈ",
"ਬਹੁਤ",
"ਸਾਰੇ",
"ਬਿਨਾਂ",
"ਰਿਪੋਰਟ",
"ਹੁੰਦੇ",
"ਹਨ",
"।"
] | [
"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"
] |
You are an NLP assistant whose purpose is to 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. | [
"ਭਾਜਪਾ",
"ਦਾ",
"ਜੇਤੂ",
"ਰਥ",
"104",
"ਸੀਟਾਂ",
"'",
"ਤੇ",
"ਥਮ",
"ਗਿਆ",
"ਸੀ",
",",
"ਜਦਕਿ",
"ਕਾਂਗਰਸ",
"ਨੂੰ",
"78",
"ਅਤੇ",
"ਜੇਡੀਐਸ",
"ਨੂੰ",
"38",
"ਸੀਟਾਂ",
"ਮਿਲੀਆਂ",
"ਹਨ",
"।"
] | [
"B-ORG",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-ORG",
"O",
"O",
"O",
"B-ORG",
"O",
"O",
"O",
"B-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the 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. | [
"ਚੱਲ",
"ਦੇਖੀਏ",
"ਇਹ",
"ਕਿਵੇਂ",
"ਹੋਇਆ",
"।"
] | [
"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. | [
"ਅੰਮ੍ਰਿਤ",
"ਕੀ",
"ਹੈ",
"?"
] | [
"B-PER",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਪੰਜਾਬ",
"ਦਾ",
"ਤੇਜ਼ੀ",
"ਨਾਲ",
"ਸ਼ਹਿਰੀਕਰਨ",
"ਹੋ",
"ਰਿਹਾ",
"ਹੈ",
"ਅਤੇ",
"ਸਮੇਂਦੀ",
"ਲੋੜ",
"ਸੰਪੂਰਨ",
"ਢੰਗ",
"ਨਾਲ",
"ਪ੍ਰੋਜੈਕਟਾਂ",
"ਦੀ",
"ਯੋਜਨਾਬੰਦੀ",
",",
"ਵਿਕਾਸ",
"ਅਤੇ",
"ਕਾਰਜਸ਼ੀਲ",
"ਕਰਨ",
"ਦੀਹੈਤਾਂ",
"ਜੋ",
"ਸਾਡੇ",
"ਸ਼ਹਿਰ",
"ਸਾਰੀਆਂ",
"ਬੁਨਿਆਦੀ",
"ਸਹੂਲਤਾਂ",
"ਨਾਲ",
"ਲੈਸ",
"ਹੋਣ",
"।"
] | [
"B-LOC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"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. | [
"ਧਰਮਿੰਦਰ",
"ਯਾਦਵ",
"ਬਦਾਯੂ",
"ਤੋਂ",
",",
"ਅਕਸ਼ੈ",
"ਯਾਦਵ",
"ਫਿਰੋਜਾਬਾਦ",
"ਤੋਂ",
",",
"ਕਮਲੇਸ਼",
"ਕਠੇਰੀਆ",
"ਇਟਾਵਾ",
",",
"ਭਾਈਲਾਲ",
"ਕੋਲ",
"ਰਾਬਰਟਸਗੰਜ",
"ਅਤੇ",
"ਸ਼ਬੀਰ",
"ਬਾਲਮੀਕੀ",
"ਬਹਰਾਈਚ",
"ਤੋਂ",
"ਪਾਰਟੀ",
"ਉਮੀਦਵਾਰ",
"ਹੋਣਗੇ",
"।"
] | [
"B-PER",
"I-PER",
"B-PER",
"O",
"O",
"B-PER",
"I-PER",
"B-LOC",
"O",
"O",
"B-PER",
"I-PER",
"B-LOC",
"O",
"B-PER",
"I-PER",
"O",
"O",
"B-PER",
"I-PER",
"B-LOC",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਖਹਿਰਾ",
"ਨੇ",
"ਕੈਪਟਨ",
"ਸਰਕਾਰ",
"ਵਿਰੁੱਧ",
"ਜਾਰੀ",
"ਕੀਤੀ",
"ਚਾਰਜਸ਼ੀਟ"
] | [
"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. | [
"ਕੈਬਨਿਟ",
"ਨੇ",
"ਮੰਤਰਾਲੇ",
"ਨੂੰ",
"ਕਿਹਾ",
"ਕਿ",
"ਪ੍ਰਸਤਾਵ",
"'",
"ਤੇ",
"ਫ਼ਿਰ",
"ਤੋਂ",
"ਕੰਮ",
"ਕਰੇ",
"ਅਤੇ",
"ਰਾਸ਼ਨ",
"ਦੇ",
"ਤਹਿਤ",
"ਵਾਧੂ",
"ਖੁਰਾਕ",
"(",
"ਕਣਕ",
"ਜਾਂ",
"ਚੌਲ",
")",
"ਵੰਡਣ",
"'",
"ਤੇ",
"ਵਿਚਾਰ",
"ਕੀਤਾ",
"ਜਾਵੇ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-ORG",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਸ੍ਰੀਨਗਰ",
"-",
"ਜੰਮੂ",
"-",
"ਕਸ਼ਮੀਰ",
"ਦੇ",
"ਪੁਲਵਾਮਾ",
"'",
"ਚ",
"ਸੁਰੱਖਿਆ",
"ਬਲਾਂ",
"ਅਤੇ",
"ਅੱਤਵਾਦੀਆਂ",
"ਵਿਚਾਲੇ",
"ਮੁੱਠਭੇੜ",
"ਜਾਰੀ",
"ਹੈ",
"।"
] | [
"B-LOC",
"O",
"O",
"O",
"O",
"O",
"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. | [
"ਫਾਇਲ",
"ਹੈਂਡਲਰ",
"ਮੱਦਦਗਾਰ"
] | [
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਦਿੱਲੀ",
"ਪੁਲਿਸ",
"ਪੀਆਰਓ",
",",
"ਐੱਮਐੱਸ",
"ਰੰਧਾਨਾ",
"ਨੇ",
"ਦੱਸਿਆ",
"ਕਿ",
"ਜਾਮਾ",
"ਮਸਜਿਦ",
"ਇਲਾਕੇ",
"'",
"ਚ",
"ਧਾਰਾ",
"144",
"ਲਾਗੂ",
"ਨਹੀਂ",
"ਹੈ",
"।"
] | [
"B-ORG",
"I-ORG",
"O",
"O",
"B-PER",
"I-PER",
"O",
"O",
"O",
"B-LOC",
"I-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. | [
"ਕੱਟੜਵਾਦੀ",
"ਹਿੰਦੂਤਵ",
"ਵਿਚਾਰਧਾਰਾ",
"ਦਾ",
"ਬਿੰਬ",
"ਮੰਨੇ",
"ਜਾਂਦੇ",
"ਵਿਵਾਦਿਤ",
"ਆਗੂ",
"ਯੋਗੀ",
"ਆਦਿੱਤਿਆਨਾਥ",
"ਉੱਤਰ",
"ਪ੍ਰਦੇਸ਼",
"ਦਾ",
"ਅਗਲਾ",
"ਮੁੱਖ",
"ਮੰਤਰੀ",
"ਬਣੇਗਾ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"B-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. | [
"ਹਿਚਨਜ਼",
"30",
"ਤੋਂ",
"ਵੱਧ",
"ਕਿਤਾਬਾਂ",
"ਦਾ",
"ਅਤੇ",
"ਰਾਜਨੀਤੀ",
",",
"ਸਾਹਿਤ",
",",
"ਅਤੇ",
"ਧਰਮ",
"ਸਮੇਤ",
"ਅਨੇਕ",
"ਵਿਸ਼ਿਆਂ",
"ਤੇ",
"ਪੰਜ",
"ਲੇਖ",
"ਸੰਗ੍ਰਹਿਾਂ",
"ਦਾ",
"ਲੇਖਕ",
",",
"ਸਹਿ",
"-",
"ਲੇਖਕ",
",",
"ਸੰਪਾਦਕ",
"ਜਾਂ",
"ਸਹਿ",
"-",
"ਸੰਪਾਦਕ",
"ਸੀ",
"।"
] | [
"B-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to 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",
"ਕਈ",
"ਟੀਵੀ",
"ਸ਼ੋਅ",
"ਅਤੇ",
"ਫਿਲਮਾਂ",
"ਵਿੱਚ",
"ਵੀ",
"ਕੰਮ",
"ਕੀਤਾ",
"ਹੈ",
",",
"ਜਿਵੇਂ",
"ਕਿ",
"ਕਾਨੂੰਨ",
"ਅਤੇ",
"ਵਿਵਸਥਾਃ",
"ਸਪੈਸ਼ਲ",
"ਵਿਕਟਿਮਸ",
"ਯੂਨਿਟ",
",",
"ਬੋਰਡ",
"ਟੂ",
"ਡੈਥ",
"ਅਤੇ",
"ਮਿਊਜ਼ਿਅਲ",
"ਚੇਅਰਜ਼",
"।",
"\""
] | [
"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",
"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. | [
"ਉਪ",
"ਰਾਜਪਾਲ",
"ਨੇ",
"ਕਿਹਾ",
"ਕਿ",
"ਇਹ",
"ਗੰਭੀਰ",
"ਮਾਮਲਾ",
"ਹੈ",
"ਤੇ",
"ਲੱਖਾਂ",
"ਲੋਕਾਂ",
"ਦੀ",
"ਰੋਜ਼ੀ",
"-",
"ਰੋਟੀ",
"ਦੀ",
"ਚਿੰਤਾ",
"ਹੈ",
"ਤੇ",
"ਦਿੱਲੀ",
"ਦੇ",
"ਵਿਕਾਸ",
"ਨਾਲ",
"ਵੀ",
"ਜੁੜਿਆ",
"ਹੈ",
"।"
] | [
"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"
] |
You are an NLP assistant whose purpose is to 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. | [
"ਧਿਆਨਚੰਦ",
"ਐਵਾਰਡ",
"ਲਈ",
"ਭੁਪਿੰਦਰ",
"ਸਿੰਘ",
"(",
"ਅਥਲੈਟਿਕਸ",
")",
",",
"ਸੈਯਦ",
"ਸ਼ਾਹਿਦ",
"ਹਕੀਮ",
"(",
"ਫੁਟਬਾਲ",
")",
"ਅਤੇ",
"ਸੁਮਰਾਈ",
"ਤੇਤੇ",
"(",
"ਹਾਕੀ",
")",
"ਦੇ",
"ਨਾਂ",
"ਦੀ",
"ਸਿਫਾਰਸ਼",
"ਕੀਤੀ",
"ਗਈ",
"ਹੈ",
"।"
] | [
"O",
"O",
"O",
"B-PER",
"I-PER",
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"I-PER",
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਇਸ",
"ਮੌਕੇ",
"ਸਰਪੰਚ",
"ਸੁਖਦੇਵ",
"ਸਿੰਘ",
"ਭਰਤਗੜ੍ਹ",
"ਵੀ",
"ਹਾਜ਼ਰ",
"ਸਨ",
"।"
] | [
"O",
"O",
"O",
"B-PER",
"I-PER",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਉਹ",
"1958",
"ਤੋਂ",
"1970",
"ਤੱਕ",
"ਭਾਰਤ",
"ਵਿੱਚ",
"ਇੱਕ",
"ਨਿਰਵਿਵਾਦ",
"ਰਾਸ਼ਟਰੀ",
"ਚੈਂਪੀਅਨ",
"ਰਿਹਾ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"B-LOC",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਇਸ",
"ਵਜੀਫ਼ੇ",
"ਲਈ",
"ਕੇਂਦਰ",
"ਸਰਕਾਰ",
"ਦੀ",
"ਰਾਖਵਾਂਕਰਨ",
"ਦੀ",
"ਨੀਤੀ",
"ਅਨੁਸਾਰ",
"ਰਾਖਵਾਂਕਰਨ",
"ਹੋਵੇਗਾ",
"।"
] | [
"O",
"O",
"O",
"B-ORG",
"I-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. | [
"ਚਿਦੰਬਰਮ",
")",
"ਆਈਐਨਐਕਸ",
"ਮੀਡੀਆ",
"ਮਾਮਲੇ",
"ਵਿਚ",
"ਤਿਹਾੜ",
"ਜੇਲ੍ਹ",
"ਵਿਚ",
"ਬੰਦ",
"ਹਨ",
"।"
] | [
"B-PER",
"O",
"B-ORG",
"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. | [
"ਡਾਇਰੈਕਟਰ",
"ਸ੍ਰੀਮਤੀ",
"ਗਿੱਲ",
"ਨੇ",
"ਦੱਸਿਆ",
"ਕਿ",
"ਮੁੱਖ",
"ਮੰਤਰੀ",
"ਕੈਪਟਨ",
"ਅਮਰਿੰਦਰ",
"ਸਿੰਘ",
"ਜਿਨ੍ਹਾਂ",
"ਕੋਲ",
"ਖੇਡਾਂ",
"ਦਾ",
"ਵਿਭਾਗ",
"ਵੀ",
"ਹੈ",
",",
"ਦੇ",
"ਦਿਸ਼ਾਂ",
"ਨਿਰਦੇਸ਼ਾਂ",
"ਅਨੁਸਾਰ",
"ਸਾਰੇ",
"ਪੈਂਡਿੰਗ",
"ਬਿੱਲਾਂ",
"ਦੀ",
"ਰਾਸ਼ੀ",
"ਕਲੀਅਰ",
"ਕਰ",
"ਦਿੱਤੀ",
"ਗਈ",
"ਹੈ",
"।"
] | [
"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"
] |
You are an NLP assistant whose purpose is to 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",
"ਨੇ",
"ਮੈਨੂੰ",
"ਆਪਣੇ",
"ਮਾਪਿਆਂ",
"ਨਾਲ",
"ਆਪਣੇ",
"ਦਿਲ",
"ਦੀਆਂ",
"ਗੱਲਾਂ",
"ਕਰਨ",
"ਵਿਚ",
"ਮਦਦ",
"ਕੀਤੀ",
"।",
"\"",
"-",
"ਜ਼ਮੀਰਾ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"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. | [
"ਕੈਪਟਨ",
"ਅਮਰਿੰਦਰ",
"ਸਿੰਘ",
"ਸਰਕਾਰ",
"ਵੱਲੋਂ",
"ਸਨਅਤ",
"ਨੂੰ",
"ਦਿੱਤੇ",
"ਹਾਂ",
"-",
"ਪੱਖੀ",
"ਹੁਲਾਰੇ",
"ਤੋਂ",
"ਉਤਸ਼ਾਹਤ",
"ਹੁੰਦਿਆਂ",
"ਮੈਸਰਜ",
"ਟਾਟਾ",
"ਸੰਨਜ਼",
"ਵੱਲੋਂ",
"ਪੰਜਾਬ",
"ਵਿੱਚ",
"ਤਾਜ",
"ਗਰੁੱਪ",
"ਆਫ",
"ਹੋਟਲਜ਼",
"ਦਾ",
"ਵੱਡੇ",
"ਪੱਧਰ",
"'",
"ਤੇ",
"ਵਿਸਤਾਰ",
"ਕਰਨ",
"'",
"ਤੇ",
"ਵਿਚਾਰ",
"ਕੀਤਾ",
"ਜਾ",
"ਰਿਹਾ",
"ਹੈ",
"।"
] | [
"O",
"B-PER",
"I-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-ORG",
"B-ORG",
"O",
"O",
"B-LOC",
"O",
"B-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"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. | [
"ਮਿਦਨਾਪੁਰ",
"(",
"ਪੱਛਮੀ",
"ਬੰਗਾਲ",
")",
",",
"26",
"ਨਵੰਬਰ"
] | [
"B-LOC",
"O",
"O",
"B-LOC",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਬੀਤੇ",
"ਹਫਤੇ",
"ਪਰਿਵਾਹਨ",
"ਮੰਤਰੀ",
"ਨਿਤਿਨ",
"ਗਡਕਰੀ",
"ਨੇ",
"ਆਟੋ",
"ਕੰਪਨੀਆਂ",
"ਨੂੰ",
"ਭਰੋਸਾ",
"ਦਿੱਤਾ",
"ਸੀ",
"ਕਿ",
"ਪੈਟਰੋਲ",
"ਅਤੇ",
"ਡੀਜ਼ਲ",
"ਵਹੀਕਲ",
"ਨੂੰ",
"ਬੈਨ",
"ਕਰਨ",
"ਦੀ",
"ਕੋਈ",
"ਯੋਜਨਾ",
"ਨਹੀਂ",
"ਹੈ",
"।"
] | [
"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"
] |
You are an NLP assistant whose purpose is to 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. | [
"ਗਲੈਨਵਿਲ",
"ਵਿਲੀਅਮਜ਼"
] | [
"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. | [
"ਉਸ",
"ਨੂੰ",
"ਨੇੜਲੇ",
"ਹਸਪਤਾਲ",
"ਵਿਖੇ",
"ਦਾਖਲ",
"ਕਰਵਾ",
"ਦਿੱਤਾ",
"ਗਿਆ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਪੁਲਿਸ",
"ਵੱਲੋਂ",
"ਦਿੱਤੀ",
"ਗਈ",
"ਜਾਣਕਾਰੀ",
"ਮੁਤਾਬਕ",
"ਅੱਤਵਾਦੀ",
"ਪਾਕਿਸਤਾਨ",
"ਸਥਿਤ",
"ਸੰਗਠਨ",
"ਲਸ਼ਕਰ",
"-",
"ਏ",
"-",
"ਤੈਇਬਾ",
"ਨਾਲ",
"ਜੁੜੇ",
"ਹੋਏ",
"ਸਨ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-ORG",
"I-ORG",
"I-ORG",
"I-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. | [
"ਪੰਜਾਬ",
"ਸਕੂਲ",
"ਸਿੱਖਿਆ",
"ਬੋਰਡ",
"ਵੱਲੋਂ",
"ਬਾਰ੍ਹਵੀਂ",
"ਸ਼੍ਰੇਣੀ",
"ਦਾ",
"ਸਾਲਾਨਾ",
"ਨਤੀਜਾ",
"ਭਲਕੇ",
"11",
"ਮਈ",
"ਨੂੰ",
"ਐਲਾਨਿਆਂ",
"ਜਾਵੇਗਾ",
"।"
] | [
"B-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਸ੍ਰੀ",
"ਗੁਰੂ",
"ਨਾਨਕ",
"ਦੇਵ",
"ਜੀ",
"ਵੱਲੋਂ",
"ਸਮਾਜਿਕ",
"ਬਰਾਬਰਤਾ",
"ਲਈ",
"ਕੀਤੇ",
"ਗਏ",
"ਯਤਨਾਂ",
"ਨੂੰ",
"ਦਰਸ਼ਕਾਂ",
"ਵਿੱਚ",
"ਸਹੀ",
"ਅਰਥਾਂ",
"ਵਿੱਚ",
"ਪ੍ਰਚਾਰਿਆ",
"ਗਿਆ",
"।"
] | [
"B-PER",
"I-PER",
"I-PER",
"I-PER",
"I-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਜਿਮ",
"ਹੈਡਰਸਨ"
] | [
"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. | [
"ਦਵਿੰਦਰ",
"ਚੱਢਾ",
",",
"ਪ੍ਰਵੀਨ",
"ਕਿੱਤਣਾ",
",",
"ਸੁਰਿੰਦਰ",
"ਕੁਮਾਰ",
",",
"ਰਾਜੀਵ",
"ਕੁਮਾਰ",
",",
"ਰਮਨ",
"ਨਈਅਰ",
",",
"ਅਨੇਕ",
"ਬੇਦੀ",
"ਆਦਿ",
"ਹਾਜ਼ਰ",
"ਸਨ",
"।"
] | [
"B-PER",
"I-PER",
"O",
"B-PER",
"O",
"O",
"B-PER",
"I-PER",
"O",
"B-PER",
"I-PER",
"O",
"B-PER",
"I-PER",
"O",
"B-PER",
"I-PER",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਉਨ੍ਹਾਂ",
"ਨੇ",
"ਕਿਹਾ",
"ਕਿ",
"ਕੇਂਦਰ",
"ਸਰਕਾਰ",
"ਦ੍ਵੀਪ",
"ਸਮੂਹਾਂ",
"ਨੂੰ",
"ਸਸ਼ਕਤ",
"ਬਣਾਉਣ",
"ਅਤੇ",
"ਵਿਕਸਤ",
"ਕਰਨ",
"ਲਈ",
"ਪ੍ਰਤੀਬੱਧ",
"ਹੈ",
"।"
] | [
"O",
"O",
"O",
"O",
"B-ORG",
"I-ORG",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਆਂਧਰਾ",
"ਪ੍ਰਦੇਸ਼",
"ਦੇ",
"ਸਾਬਕਾ",
"ਮੁੱਖ",
"ਮੰਤਰੀ",
"ਕਿਰਨ",
"ਕੁਮਾਰ",
"ਰੈੱਡੀ",
"ਮੁੜ",
"ਕਾਂਗਰਸ",
"'",
"ਚ",
"ਸ਼ਾਮਲ"
] | [
"B-PER",
"I-PER",
"I-PER",
"I-PER",
"I-PER",
"I-PER",
"I-PER",
"I-PER",
"I-PER",
"O",
"B-ORG",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the 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",
"ਹਰਿਕ੍ਰਿਸ਼ਨ",
"ਪਬਲਿਕ",
"ਸਕੂਲ",
"ਵਿਖੇ",
"ਜਨਮ",
"ਅਸ਼ਟਮੀ",
"ਦਾ",
"ਤਿਉਹਾਰ",
"ਮਨਾਇਆ"
] | [
"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. | [
"ਕੇਂਦਰੀ",
"ਸਿਹਤ",
"ਮੰਤਰਾਲੇ",
"ਦੇ",
"."
] | [
"B-ORG",
"I-ORG",
"I-ORG",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the 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",
"ਨਾ",
"ਸਿਰਫ",
"ਅਸਾਮ",
",",
"ਬਲਕਿ",
"ਪੂਰੇ",
"ਉੱਤਰ",
"ਪੂਰਬ",
"ਨੂੰ",
"ਲਾਭ",
"ਹੋਇਆ",
"ਹੈ",
"।"
] | [
"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. | [
"ਬਰਫ਼",
"ਦੀਆਂ",
"ਫਲਾਈਲਾਂ",
"ਆਕਾਰ",
"ਅਤੇ",
"ਆਕਾਰ",
"ਵਿੱਚ",
"ਆਉਂਦੀਆਂ",
"ਹਨ",
"."
] | [
"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. | [
"ਸੋਨੀਆ",
"ਨੇ",
"ਕਿਹਾ",
"ਕਿ",
"ਇੰਦਰਾ",
"ਦੇ",
"ਕਤਲ",
"ਨੇ",
"ਮੇਰਾ",
"ਜੀਵਨ",
"ਬਦਲ",
"ਦਿੱਤਾ",
"।"
] | [
"B-PER",
"O",
"O",
"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. | [
"ਬ੍ਰਿਕਸ",
"ਸੱਭਿਆਚਾਰਕ",
"ਮੇਲਾ",
"(",
"ਵੱਖ",
"ਵੱਖ",
"ਸ਼ਹਿਰਾਂ",
"ਵਿੱਚ",
")"
] | [
"O",
"O",
"O",
"O",
"B-LOC",
"I-LOC",
"I-LOC",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਇਨ੍ਹਾਂ",
"ਨੂੰ",
"ਰਾਮਪੁਰਾ",
"ਦੇ",
"ਸਰਕਾਰੀ",
"ਹਸਪਤਾਲ",
"ਵਿੱਚ",
"ਦਾਖਲ",
"ਕਰਵਾਇਆ",
"ਗਿਆ",
"।"
] | [
"O",
"O",
"B-LOC",
"O",
"B-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. | [
"ਇਸ",
"ਦੌਰਾਨ",
"ਇੰਸਟੀਟਿਊਟਸ",
"ਆਵ੍",
"ਹੋਟਲ",
"ਮੈਨੇਜਮੈਂਟ",
"ਦੇ",
"ਕੋਰਸ",
"ਮਾਡਿਊਲਸ",
"ਔਨਲਾਈਨ",
"ਆਯੋਜਿਤ",
"ਕੀਤੇ",
"ਜਾ",
"ਰਹੇ",
"ਹਨ",
"ਅਤੇ",
"ਸਟਾਫ",
"ਅਤੇ",
"ਵਿਦਿਆਰਥੀ",
"ਆਪਣੇ",
"ਕੋਰਸ",
"ਦੇ",
"ਸਿਲੇਬਸ",
"ਨਾਲ",
"ਜੁੜੇ",
"ਰਹਿਣ",
"ਲਈ",
"ਟੈਕਨੋਲੋਜੀ",
"ਦੀ",
"ਵਰਤੋਂ",
"ਕਰ",
"ਰਹੇ",
"ਹਨ",
"।"
] | [
"O",
"O",
"B-ORG",
"I-ORG",
"I-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"
] |
You are an NLP assistant whose purpose is to 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",
"ਵੱਖ",
"-",
"ਵੱਖ",
"ਖੇਤਰਾਂ",
"ਵਿੱਚ",
"ਮੋਹਰੀ",
"130",
"ਵਿਦਿਆਰਥੀਆਂ",
"ਨੂੰ",
"ਸਨਮਾਨਿਆ",
"ਗਿਆ",
"।"
] | [
"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. | [
"ਕੋਹਲੀ",
"ਦਾ",
"ਕਪਤਾਨ",
"ਦੇ",
"ਰੂਪ",
"ਵਿਚ",
"ਇਹ",
"51ਵਾਂ",
"ਟੈਸਟ",
"ਮੈਚ",
"ਸੀ",
"।"
] | [
"B-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਦੀਪਾ",
"ਪੈਰਾਲੰਪਿਕ",
"'",
"ਚ",
"ਤਗ਼ਮਾ",
"ਜਿੱਤਣ",
"ਵਾਲੀ",
"ਪਹਿਲੀ",
"ਭਾਰਤੀ",
"ਮਹਿਲਾ",
"ਖਿਡਾਰਨ",
"ਬਣ",
"ਗਈ",
"ਹੈ",
"।"
] | [
"B-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-LOC",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਬੀਪੀਈਐੱਸ",
"ਅਤੇ",
"ਬੀਐੱਸਸੀ",
"(",
"ਸਪੋਰਟਸ",
"ਕੋਚਿੰਗ",
")",
"ਪਾਠ",
"-",
"ਕ੍ਰਮ",
"ਖੁਮਨ",
"ਲੰਪਕ",
"ਸਪੋਰਟਸ",
"ਕੰਪਲੈਕਸ",
",",
"ਜੋ",
"ਰਾਸ਼ਟਰੀ",
"ਖੇਡ",
"ਯੂਨੀਵਰਸਿਟੀ",
"ਸੋਸਾਈਟੀ",
"ਦਾ",
"ਹੈਡਕੁਆਰਟਰ",
"ਹੈ",
",",
"ਤੋਂ",
"ਸ਼ੁਰੂ",
"ਹੋਣਗੇ",
"।"
] | [
"B-ORG",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-LOC",
"I-LOC",
"I-LOC",
"I-LOC",
"O",
"O",
"B-ORG",
"I-ORG",
"I-ORG",
"I-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",
"ਮੌਕੇ",
"ਵਿਧਾਇਕ",
"ਬਖਸ਼ੀਸ਼",
"ਸਿੰਘ",
",",
"ਹਰਿਆਣਾ",
"ਭਾਜਪਾ",
"ਦੇ",
"ਪ੍ਰਦੇਸ਼",
"ਪ੍ਰਦਾਨ",
"ਸੁਭਾਸ਼",
"ਬਰਾਲਾ",
",",
"ਸਿੱਖ",
"ਇਤਿਹਾਸਕਾਰ",
"ਹਰਜਿੰਦਰ",
"ਸਿੰਘ",
",",
"ਸ਼੍ਰੋਮਣੀ",
"ਗੁਰਦੁਆਰਾ",
"ਪ੍ਰਬੰਧਕ",
"ਕਮੇਟੀ",
"ਦੇ",
"ਸੀਨੀਅਰ",
"ਉਪ",
"ਪ੍ਰਧਾਨ",
"ਬਲਦੇਵ",
"ਸਿੰਘ",
"ਕੈਮਪੁਰ",
",",
"ਬਾਬਾ",
"ਤ੍ਰਿਲੋਕ",
"ਸਿੰਘ",
",",
"ਮਹੰਤ",
"ਕਰਮਜੀਤ",
"ਸਿੰਘ",
"ਤੇ",
"ਕਈ",
"ਹੋਰ",
"ਪਤਵੰਤੇ",
"ਮੌਜੂਦ",
"ਸਨ",
"।"
] | [
"O",
"O",
"O",
"B-PER",
"I-PER",
"O",
"B-ORG",
"O",
"B-PER",
"I-PER",
"I-PER",
"I-PER",
"I-PER",
"O",
"O",
"O",
"B-PER",
"I-PER",
"O",
"B-ORG",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"I-PER",
"O",
"B-PER",
"I-PER",
"I-PER",
"O",
"B-PER",
"I-PER",
"I-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਮੁੰਬਈਃ",
"ਬਾਲੀਵੁੱਡ",
"ਦੇ",
"ਮਰਹੂਮ",
"ਅਦਾਕਾਰ",
"ਸੁਸ਼ਾਂਤ",
"ਸਿੰਘ",
"ਰਾਜਪੂਤ",
"ਦੀ",
"ਆਖਰੀ",
"ਫਿਲਮ",
"ਦਿਲ",
"ਬੀਚਾਰਾ",
"ਰਿਲੀਜ਼",
"ਹੋ",
"ਚੁੱਕੀ",
"ਹੈ",
"।"
] | [
"O",
"B-LOC",
"O",
"O",
"O",
"B-PER",
"I-PER",
"I-PER",
"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. | [
"ਚੰਦਰਮਾ",
"ਨੂੰ",
"ਕਿਉਂ",
"ਜਾਣਾ",
"ਹੈ",
"?"
] | [
"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. | [
"ਉਨ੍ਹਾਂ",
"ਨੇ",
"ਗੁਆਂਢੀ",
"ਸੂਬਿਆਂ",
"ਰਾਜਸਥਾਨ",
",",
"ਹਰਿਆਣਾ",
",",
"ਹਿਮਾਚਲ",
"ਪ੍ਰਦੇਸ਼",
"ਅਤੇ",
"ਜੰਮੂ",
"-",
"ਕਸ਼ਮੀਰ",
"ਨੂੰ",
"ਪੋਸਤ",
"ਅਤੇ",
"ਭੰਗ",
"ਦੀ",
"ਗੈਰ",
"-",
"ਕਾਨੂੰਨੀ",
"ਤੌਰ",
"'",
"ਤੇ",
"ਹੋ",
"ਰਹੀ",
"ਖੇਤੀ",
"ਨੂੰ",
"ਖਤਮ",
"ਕਰਨ",
"ਲਈ",
"ਠੋਸ",
"ਯਤਨ",
"ਕੀਤੇ",
"ਜਾਣ",
"ਦੀ",
"ਅਪੀਲ",
"ਕੀਤੀ",
"।"
] | [
"O",
"O",
"O",
"O",
"B-LOC",
"O",
"B-LOC",
"O",
"B-LOC",
"I-LOC",
"O",
"B-LOC",
"O",
"B-LOC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to 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. | [
"ਜਯਾਰਾਮ",
"ਚੌਟਾ",
"ਅਤੇ",
"ਆਰ",
".",
"ਬਾਲਾਸੁਬਰਾਮਨੀਅਨ",
"'",
"ਤੇ",
"ਆਧਾਰਤ",
"ਦੋ",
"ਮੈਂਬਰੀ",
"ਜਾਂਚ",
"ਕਮੇਟੀ",
"ਨੇ",
"ਬੀਸੀਸੀਆਈ",
"ਦੀ",
"ਵਰਕਿੰਗ",
"ਕਮੇਟੀ",
"ਨੂੰ",
"ਰਿਪੋਰਟ",
"ਸੌਂਪੀ",
"ਜਿਸ",
"ਦੀ",
"ਅੱਜ",
"ਇੱਥੇ",
"ਮੀਟਿੰਗ",
"ਹੋਈ",
"ਜਦੋਂ",
"ਕਿ",
"ਇਹ",
"ਅਟਕਲਾਂ",
"ਲਾਈਆਂ",
"ਜਾ",
"ਰਹੀਆਂ",
"ਸਨ",
"ਕਿ",
"ਸ੍ਰੀਨਿਵਾਸਨ",
"ਵਾਪਸੀ",
"ਕਰ",
"ਰਹੇ",
"ਹਨ",
"।"
] | [
"B-PER",
"I-PER",
"O",
"B-PER",
"I-PER",
"I-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"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",
"ਵਿਚ",
"ਅਲਕੋਹਲ",
"ਨਹੀਂ",
"ਹੋਣੀ",
"ਚਾਹੀਦੀ",
"."
] | [
"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. | [
"ਨਿਊਜ਼ੀਲੈਂਡ",
"ਨੇ",
"ਦੱਖਣੀ",
"ਅਫ਼ਰੀਕਾ",
"ਨੂੰ",
"ਹਰਾਇਆ"
] | [
"B-LOC",
"O",
"B-LOC",
"I-LOC",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਫਿਲਮ",
"ਦੇ",
"ਨਿਰਦੇਸ਼ਕ",
"ਹਨ",
"ਸ਼ਿਤਿਜ",
"ਚੌਧਰੀ",
"।"
] | [
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਕੈਪਟਨ",
"ਨੇ",
"1963",
"ਤੋਂ",
"1969",
"ਤਕ",
"ਸਿੱਖ",
"ਰੈਜੀਮੈਂਟ",
"ਦੀ",
"ਦੂਜੀ",
"ਬਟਾਲੀਅਨ",
"ਵਿਚ",
"ਸੇਵਾ",
"ਨਿਭਾਈ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"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. | [
"ਜ਼ਖਮੀਆਂ",
"ਨੂੰ",
"ਤੁਰੰਤ",
"ਸਿਵਲ",
"ਹਸਪਤਾਲ",
"ਹੁਸ਼ਿਆਰਪੁਰ",
"ਪਹੁੰਚਾਇਆ",
"ਗਿਆ",
"।"
] | [
"O",
"O",
"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. | [
"ਪੰਜਾਬ",
"ਦੇ",
"ਮੁੱਖ",
"ਮੰਤਰੀ",
"ਪ੍ਰਕਾਸ਼",
"ਸਿੰਘ",
"ਬਾਦਲ",
"ਨੇ",
"ਐਨ",
".",
"ਸੀ",
".",
"ਸੀ",
".",
"ਕੈਡਿਟਾਂ",
"ਲਈ",
"ਰਿਫਰੈਸ਼ਮੈਂਟ",
"ਭੱਤਾ",
"6",
"ਰੁਪਏ",
"ਤੋਂ",
"ਵਧਾ",
"ਕੇ",
"20",
"ਰੁਪਏ",
"ਪ੍ਰਤੀ",
"ਕੈਡਿਟ",
"ਕਰਨ",
"ਲਈ",
"ਪ੍ਰਵਾਨਗੀ",
"ਦੇ",
"ਦਿੱਤੀ",
"ਹੈ",
"ਜਿਸ",
"ਨਾਲ",
"ਸਰਕਾਰੀ",
"ਖਜ਼ਾਨੇ",
"'",
"ਤੇ",
"ਸਾਲਾਨਾ",
"ਤਿੰਨ",
"ਕਰੋੜ",
"ਰੁਪਏ",
"ਦਾ",
"ਬੋਝ",
"ਪਵੇਗਾ",
"।"
] | [
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"I-PER",
"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"
] |
You are an NLP assistant whose purpose is to 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. | [
"ਅਨੂ",
"ਸ਼ਰਮਾ",
"ਅਤੇ",
"ਪ੍ਰੋ",
"."
] | [
"O",
"B-PER",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਡਾਕਟਰੀ",
"ਅਤੇ",
"ਸਿਹਤ",
"ਲਈ",
"ਸਰਕਾਰੀ",
"ਵਕੀਨੀਅਰ"
] | [
"B-ORG",
"I-ORG",
"I-ORG",
"O",
"O",
"O"
] |