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. | [
"ਪਾਕਿਸਤਾਨ",
"ਦੇ",
"ਘੱਟ",
"ਗਿਣਤੀ",
"ਹਿੰਦੂ",
"ਭਾਈਚਾਰੇ",
"ਦੇ",
"ਆਗੂਆਂ",
"ਨੇ",
"ਪ੍ਰਧਾਨ",
"ਮੰਤਰੀ",
"ਨਵਾਜ਼",
"ਸ਼ਰੀਫ਼",
"ਤੋਂ",
"ਮੰਗ",
"ਕੀਤੀ",
"ਹੈ",
"ਕਿ",
"ਦੀਵਾਲੀ",
"ਮੌਕੇ",
"ਜਨਤਕ",
"ਛੁੱਟੀ",
"ਐਲਾਨੀ",
"ਜਾਵੇ",
"ਅਤੇ",
"ਇਸ",
"ਤਿਉਹਾਰ",
"ਲਈ",
"ਉਨ੍ਹਾਂ",
"ਨੂੰ",
"ਵਿਸ਼ੇਸ਼",
"ਸਹਾਇਤਾ",
"ਪੈਕੇਜ",
"ਦਿੱਤਾ",
"ਜਾਵੇ",
"।"
] | [
"B-LOC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"O",
"O",
"O",
"O",
"O",
"B-LOC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਪ੍ਰਧਾਨ",
"ਮੰਤਰੀ",
",",
"ਸ੍ਰੀ",
"ਨਰੇਂਦਰ",
"ਮੋਦੀ",
"ਨੇ",
"ਆਪਣੇ",
"ਅਕਾਊੁਂਟ",
"ਵਿਚ",
"ਲੜੀਵਾਰ",
"ਕੀਤੇ",
"ਟਵੀਟਸ",
"ਵਿਚ",
"ਇਹ",
"ਜਾਣਕਾਰੀ",
"ਦਿੱਤੀ",
"।",
"\"",
"ਭਾਰਤ",
"ਅਤੇ",
"ਅਮਰੀਕਾ",
"28",
"-",
"30",
"ਨਵੰਬਰ",
",",
"2017",
"ਨੂੰ",
"ਹੈਦਰਾਬਾਦ",
"ਵਿਚ",
"ਸਾਂਝੇ",
"ਤੌਰ",
"'",
"ਤੇ",
"ਵਿਸ਼ਵ",
"ਉੱਦਮਤਾ",
"ਸੰਮੇਲਨ",
"ਆਯੋਜਿਤ",
"ਕਰਨਗੇ",
"।"
] | [
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-LOC",
"O",
"B-LOC",
"O",
"O",
"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. | [
"ਕਵੇਸ਼ਨ",
"ਵੇਰੋਨੀਸ",
"ਹੇਠ",
"ਲਿਖੀਆਂ",
"ਨਗਰ",
"ਪਾਲਿਕਾਵਾਂ",
"ਨਾਲ",
"ਲੱਗਦੀ",
"ਹੈਃ",
"ਐਫ਼ੀ",
",",
"ਬਾਰਦੋਲਿਨੋ",
",",
"ਪੈਸਟਰੇਂਗੋ",
",",
"ਰਿਵੋਲੀ",
"ਵੇਰੋਨੀਸ",
",",
"ਅਤੇ",
"ਸੇਂਟ",
"'",
"ਐਮਬਰੋਗੋ",
"ਡੀ",
"ਵਾਲਪੋਸੀਲਾ",
"ਆਦਿ",
"।"
] | [
"B-LOC",
"I-LOC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-LOC",
"O",
"B-LOC",
"O",
"B-LOC",
"O",
"B-LOC",
"I-LOC",
"O",
"O",
"B-LOC",
"I-LOC",
"I-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. | [
"ਜੋਨਜ਼",
"ਨੇ",
"ਉਤਪਤ",
"ਅਤੇ",
"ਮੱਤੀ",
"ਦੀ",
"ਇੰਜੀਲ",
"ਦਾ",
"ਤਰਜਮਾ",
"ਕੀਤਾ",
"ਅਤੇ",
"ਗ੍ਰਿਫ਼ਿਥਸ",
"ਨੇ",
"ਕੂਚ",
"ਅਤੇ",
"ਲੂਕਾ",
"ਦੀ",
"ਇੰਜੀਲ",
"ਦਾ",
"।"
] | [
"B-PER",
"O",
"B-ORG",
"O",
"B-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"B-PER",
"O",
"B-ORG",
"O",
"B-PER",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਛੇਤੀ",
"ਹੀ",
"ਦੋਵੇਂ",
"ਪਾਸਿਆਂ",
"ਤੋਂ",
"ਗੋਲਾਬਾਰੀ",
"ਸ਼ੁਰੂ",
"ਹੋਈ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਇਸ",
"ਮੌਕੇ",
"ਪਰਵੀਨ",
"ਕੁਮਾਰ",
",",
"ਗੁਰਵਿੰਦਰ",
"ਸਿੰਘ",
",",
"ਨਰਿੰਦਰ",
"ਕੁਮਾਰ",
",",
"ਰਾਕੇਸ਼",
"ਕੁਮਾਰ",
"ਤੇ",
"ਰਸਪ੍ਰੀਤ",
"ਕੌਰ",
"ਹਾਜ਼ਰ",
"ਸਨ",
"।"
] | [
"O",
"O",
"B-PER",
"I-PER",
"O",
"B-PER",
"I-PER",
"O",
"B-PER",
"I-PER",
"O",
"B-PER",
"I-PER",
"O",
"B-PER",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਮਈ",
"14",
"-",
"20",
"2012"
] | [
"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. | [
"ਇਨ੍ਹਾਂ",
"ਵਿੱਚ",
"ਪ੍ਰਧਾਨ",
"ਮੰਤਰੀ",
"ਜੀਵਨ",
"ਜੋਤੀ",
"ਬੀਮਾ",
"ਯੋਜਨਾ",
",",
"ਪ੍ਰਧਾਨ",
"ਮੰਤਰੀ",
"ਸੁਰਕਸ਼ਾ",
"ਬੀਮਾ",
"ਯੋਜਨਾ",
"ਅਤੇ",
"ਅਟਲ",
"ਪੈਨਸ਼ਨ",
"ਯੋਜਨਾ",
"ਸ਼ਾਮਲ",
"ਹੈ",
"।"
] | [
"O",
"O",
"B-PER",
"I-PER",
"I-PER",
"I-PER",
"I-PER",
"I-PER",
"O",
"B-PER",
"I-PER",
"I-PER",
"I-PER",
"I-PER",
"O",
"B-PER",
"I-PER",
"I-PER",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਸ਼ਿਖਰ",
"ਧਵਨ",
"ਦਾ",
"ਬਾਹਰ",
"ਹੋਣਾ",
"ਕੇਐੱਲ",
"ਰਾਹੁਲ",
"ਲਈ",
"ਵੱਡਾ",
"ਮੌਕਾ",
"ਹੈ",
"।"
] | [
"B-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. | [
"ਕਲਾਮ",
"ਨੂੰ",
"ਸ਼ਰਧਾਂਜਲੀ",
"ਵਜੋਂ",
"ਲੋਕ",
"ਸਭਾ",
"ਦਿਨ",
"ਭਰ",
"ਲਈ",
"ਉਠਾਈ"
] | [
"B-PER",
"O",
"O",
"O",
"B-ORG",
"I-ORG",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਫਿਲਮ",
"ਵਿੱਚ",
"ਸਲਮਾਨ",
"ਖਾਨ",
"ਦੇ",
"ਨਾਲ",
"ਕਟਰੀਨਾ",
"ਕੈਫ",
",",
"ਦਿਸ਼ਾ",
"ਪਟਾਨੀ",
",",
"ਤੱਬੂ",
"ਅਤੇ",
"ਸੁਨੀਲ",
"ਗਰੋਵਰ",
"ਵੀ",
"ਨਜ਼ਰ",
"ਆਉਣ",
"ਵਾਲੇ",
"ਹਨ",
"।"
] | [
"O",
"O",
"B-PER",
"B-PER",
"O",
"O",
"B-PER",
"I-PER",
"O",
"B-PER",
"B-PER",
"I-PER",
"I-PER",
"O",
"B-PER",
"I-PER",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਗੂਹਲਾ",
"ਚੀਕਾ",
",",
"15",
"ਦਸੰਬਰ"
] | [
"B-PER",
"I-PER",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਇਹ",
"ਨੋਟ",
"ਨਾ",
"-",
"ਤਾਲਾਬੰਦ",
"ਹੈ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਉਹ",
"ਕੇਂਦਰੀ",
"ਮੰਤਰੀ",
"ਹਨ",
",",
"ਨਾ",
"ਕਿ",
"ਜੈ",
"ਸ਼ਾਹ",
"ਦੇ",
"ਚਾਰਟਰਡ",
"ਅਕਾਊਂਟੈਂਟ",
"ਹਨ",
"।"
] | [
"O",
"O",
"O",
"O",
"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. | [
"ਚੰਡੀਗੜ•",
",",
"ਜੁਲਾਈ",
"22",
":",
"ਪੰਜਾਬ",
"ਸਰਕਾਰ",
"ਵਲੋਂ",
"ਪੰਜਾਬੀ",
"ਯੂਨੀਵਰਸਿਟੀ",
",",
"ਪਟਿਆਲਾ",
"ਨੂੰ",
"ਵਿੱਤੀ",
"ਸੰਕਟ",
"ਵਿਚੋਂ",
"ਬਾਹਰ",
"ਕੱਢਣ",
"ਲਈ",
"ਹਰ",
"ਸੰਭਵ",
"ਸਹਾਇਤਾ",
"ਕੀਤੀ",
"ਜਾਵੇਗੀ",
"।"
] | [
"B-LOC",
"O",
"O",
"O",
"O",
"B-ORG",
"I-ORG",
"O",
"B-ORG",
"I-ORG",
"O",
"B-LOC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਹੋਰ",
"ਚਾਰ",
"ਮੁਲਜ਼ਮਾਂ",
"ਸਾਹਿਲ",
"ਅੰਸਾਰੀ",
",",
"ਪ੍ਰਕਾਸ਼",
"ਕੁਮਾਰ",
",",
"ਸੰਤੋਸ਼",
"ਮੌਰਿਆ",
"ਅਤੇ",
"ਸ਼ਿਵਾਜੀ",
"ਊਧਵ",
"ਦੀ",
"ਤਲਾਸ਼",
"ਕੀਤੀ",
"ਜਾ",
"ਰਹੀ",
"ਹੈ",
"।"
] | [
"O",
"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",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"HTML",
"ਗੈਲਰੀ",
".",
".",
"."
] | [
"B-ORG",
"I-ORG",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਪੁਲਸ",
"ਨੇ",
"ਲਾਸ਼",
"ਨੂੰ",
"ਕਬਜ਼ੇ",
"'",
"ਚ",
"ਲੈ",
"ਕੇ",
"ਪੋਸਟਮਾਰਟਮ",
"ਲਈ",
"ਸਥਾਨਕ",
"ਸਿਵਲ",
"ਹਸਪਤਾਲ",
"ਵਿਖੇ",
"ਭੇਜ",
"ਦਿੱਤਾ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-LOC",
"I-LOC",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਬੈਂਕ",
"ਤੋਂ",
"ਪੇਸ਼ਕਸ਼ਾਂ"
] | [
"B-ORG",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਤੜਵੀ",
"ਖ਼ੁਦਕੁਸ਼ੀ",
"ਕੇਸਃ",
"ਤਿੰਨ",
"ਮਹਿਲਾ",
"ਡਾਕਟਰਾਂ",
"ਦੀ",
"ਜ਼ਮਾਨਤ",
"ਅਰਜ਼ੀ",
"ਰੱਦ"
] | [
"B-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਮਿੰਨੀ",
"-",
"ਕਮਾਂਡਰ",
"ਐਪਲਿਟ",
"ਫੈਕਟਰੀ"
] | [
"B-ORG",
"I-ORG",
"I-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. | [
"ਉੱਤਰੀ",
"ਕੋਰੀਆ",
"ਅਗਲੇ",
"ਹਫ਼ਤੇ",
"ਦੱਖਣੀ",
"ਨਾਲ",
"ਗੱਲਬਾਤ",
"ਨੂੰ",
"ਰਾਜ਼ੀ"
] | [
"B-ORG",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਸੁਪਰੀਮ",
"ਕੋਰਟ",
"ਨੇ",
"ਅਰੁਣਾਚਲ",
"ਪ੍ਰਦੇਸ਼",
"ਵਿੱਚ",
"ਕਾਂਗਰਸ",
"ਸਰਕਾਰ",
"ਬਹਾਲ",
"ਕਰਦੇ",
"ਹੋਏ",
"ਰਾਸ਼ਟਰਪਤੀ",
"ਸ਼ਾਸਨ",
"ਰੱਦ",
"ਕਰ",
"ਦਿੱਤਾ",
"।"
] | [
"B-ORG",
"I-ORG",
"O",
"B-LOC",
"I-LOC",
"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. | [
"ਵਿਸ਼ਵ",
"ਜੰਗਲੀ",
"ਫੰਡ"
] | [
"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. | [
"ਇਸ",
"ਵਿਚੋਂ",
"ਤਕਰੀਬਨ",
"8",
"ਲੱਖ",
"ਵਿਅਕਤੀਗਤ",
"ਖਿਤਾਬ",
"ਆਂਧਰਾ",
"ਪ੍ਰਦੇਸ਼",
",",
"ਛਤੀਸ਼ਗੜ੍ਹ",
",",
"ਝਾਰਖੰਡ",
"ਅਤੇ",
"ਉੜੀਸਾ",
"ਵਿੱਚ",
"ਦਿੱਤੇ",
"ਗਏ",
"ਹਨ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-LOC",
"I-LOC",
"O",
"B-LOC",
"O",
"B-LOC",
"O",
"B-LOC",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਇਸ",
"ਦੇ",
"ਲਈ",
"ਆਦੇਸ਼",
"ਜਾਰੀ",
"ਹੋ",
"ਗਏ",
"ਹਨ",
"।"
] | [
"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. | [
"ਤੇਜਸਵਿਨੀ",
"ਵਿਅਕਤੀਗਤ",
"ਤਗ਼ਮਾ",
"ਨਹੀਂ",
"ਜਿੱਤ",
"ਸਕੀ",
",",
"ਪਰ",
"ਉਸ",
"ਨੇ",
"ਕਾਜਲ",
"ਸੈਣੀ",
"ਅਤੇ",
"ਗਾਇਤਰੀ",
"ਨਿਤਿਆਨੰਦਮ",
"ਨਾਲ",
"ਮਿਲ",
"ਕੇ",
"ਟੀਮ",
"ਵਜੋਂ",
"ਕਾਂਸੀ",
"ਦਾ",
"ਤਗ਼ਮਾ",
"ਪ੍ਰਾਪਤ",
"ਕੀਤਾ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-PER",
"I-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. | [
"ਇਸੇ",
"ਤਰ੍ਹਾਂ",
"ਅਰਵਿੰਦ",
"ਗੁਪਤਾ",
"ਜਿਨ੍ਹਾਂ",
"ਨੂੰ",
"2018",
"ਪਦਮ",
"ਸ਼੍ਰੀ",
"ਦਿੱਤਾ",
"ਗਿਆ",
",",
"ਉਨ੍ਹਾਂ",
"ਨੇ",
"ਵਿਦਿਆਰਥੀਆਂ",
"ਨੂੰ",
"ਵਿਗਿਆਨਕ",
"ਪ੍ਰਯੋਗਾਂ",
"ਲਈ",
"ਖਿਡੌਣੇ",
"ਬਣਾਉਣ",
"ਲਈ",
"ਘਰੇਲੂ",
"ਸਮੱਗਰੀ",
"ਅਤੇ",
"ਕਚਰਾ",
"ਵਰਤ",
"ਕੇ",
"ਰੱਦੀ",
"ਤੋਂ",
"ਸਿੱਖਣ",
"ਲਈ",
"ਪ੍ਰੇਰਿਤ",
"ਕੀਤਾ",
"।"
] | [
"O",
"O",
"B-PER",
"I-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the 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",
"ਮੁਸ਼ਕਿਲ",
"ਘੜੀ",
"ਵਿੱਚ",
"ਮੈਂ",
"ਤੁਹਾਨੂੰ",
"ਸਾਰਿਆਂ",
"ਨੂੰ",
"ਵਿਸ਼ਵਾਸ",
"ਦਿਵਾਉਂਦਾ",
"ਹਾਂ",
",",
"ਪੂਰਾ",
"ਦੇਸ਼",
"ਉਨ੍ਹਾਂ",
"ਦੇ",
"ਨਾਲ",
"ਖੜ੍ਹਾ",
"ਹੈ",
"।"
] | [
"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. | [
"ਵਟਸਐਪ",
"'",
"ਤੇ",
"ਜਾਅਲੀ",
"ਖ਼ਬਰ",
"'",
"ਚ",
"'",
"ਕੋਰੋਨਾ",
"ਸਹਾਇਤਾ",
"ਯੋਜਨਾ",
"'",
"ਤਹਿਤ",
"1,000",
"ਰੁਪਏ",
"ਦੇਣ",
"ਦਾ",
"ਦਾਅਵਾ",
"ਪੱਤਰ",
"ਸੂਚਨਾ",
"ਦਫ਼ਤਰ",
"(",
"ਪੀਆਈਬੀ",
")",
"ਦੀ",
"'",
"ਫੈਕਟ",
"ਚੈੱਕ",
"ਯੂਨਿਟ",
"'",
"ਨੇ",
"ਅੱਜ",
"ਇੱਕ",
"ਟਵੀਟ",
"ਰਾਹੀਂ",
"ਸਪਸ਼ਟ",
"ਕੀਤਾ",
"ਕਿ",
"ਭਾਰਤ",
"ਸਰਕਾਰ",
"ਕਿਸੇ",
"ਨੂੰ",
"ਵੀ",
"ਅਖੌਤੀ",
"'",
"ਕੋਰੋਨਾ",
"ਸਹਾਇਤਾ",
"ਯੋਜਨਾ",
"'",
"ਤਹਿਤ",
"1,000",
"ਰੁਪਏ",
"ਅਦਾ",
"ਨਹੀਂ",
"ਕਰ",
"ਰਹੀ",
"।"
] | [
"B-ORG",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-ORG",
"I-ORG",
"I-ORG",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"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",
"ਸੱਚੀ",
"ਸ਼ਾਂਤੀ",
"ਦਾ",
"ਵਾਅਦਾ",
"ਹੈ",
"ਜੋ",
"ਪਰਮੇਸ਼ੁਰ",
"ਲਿਆਵੇਗਾ",
"।"
] | [
"O",
"O",
"B-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਜਵਾਬ",
"ਵਿੱਚ",
",",
"ਬੀਜਿੰਗ",
",",
"ਵਾਸ਼ਿੰਗਟਨ",
"ਡੀਸੀ",
",",
"ਤਹਿਰਾਨ",
",",
"ਰੋਮ",
",",
"ਬਰਲਿਨ",
",",
"ਕਾਠਮੰਡੂ",
",",
"ਅਬੂ",
"ਧਾਬੀ",
",",
"ਕਾਬੁਲ",
",",
"ਮਾਲੇ",
"ਅਤੇ",
"ਸਿਯੋਲ",
"ਸਥਿਤ",
"ਮਿਸ਼ਨਾਂ",
"ਦੇ",
"ਦਸ",
"ਮੁਖੀਆਂ",
"ਨੇ",
"ਪ੍ਰਧਾਨ",
"ਮੰਤਰੀ",
"ਅਤੇ",
"ਬਾਕੀ",
"ਦਰਸ਼ਕਾਂ",
"ਨੂੰ",
"ਆਪਣੇ",
"ਦ੍ਰਿਸ਼ਟੀਕੋਣ",
"ਦੀ",
"ਜਾਣਕਾਰੀ",
"ਦਿੱਤੀ",
"।"
] | [
"O",
"O",
"O",
"B-LOC",
"O",
"B-LOC",
"I-LOC",
"O",
"B-LOC",
"O",
"B-LOC",
"O",
"B-LOC",
"O",
"B-LOC",
"O",
"B-LOC",
"I-LOC",
"O",
"B-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"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਭਾਰਤ",
"ਯਾਤਰਾ",
"ਦੌਰਾਨ",
"ਪੀਐੱਮ",
"ਮੋਦੀ",
"ਸਾਹਮਣੇ",
"ਧਾਰਮਿਕ",
"ਸਵੰਤਰਤਾ",
"ਦੇ",
"ਮੁੱਦੇ",
"ਉਠਾਉਣਗੇ",
"ਰਾਸ਼ਟਰਪਤੀ",
"ਟਰੰਪ"
] | [
"B-LOC",
"O",
"O",
"O",
"B-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-PER"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਮੁਹਾਲੀ",
"ਦੇ",
"ਐੱਸਡੀਐੱਮ",
"ਜਗਦੀਪ",
"ਸਹਿਗਲ",
"ਨੇ",
"ਮੁੱਖ",
"ਮਹਿਮਾਨ",
"ਵਜੋਂ",
"ਸ਼ਾਮਲ",
"ਹੋਏ",
"।"
] | [
"B-ORG",
"O",
"B-ORG",
"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. | [
"ਇਸ",
"ਲਈ",
"ਰਾਜੇ",
"ਨੂੰ",
"ਦੱਸਣ",
"ਤੋਂ",
"ਪਹਿਲਾਂ",
"ਸਰਦਾਰਾਂ",
"ਨੇ",
"ਬਾਰੂਕ",
"ਨੂੰ",
"ਸਲਾਹ",
"ਦਿੱਤੀਃ",
"\"",
"ਜਾਹ",
"ਤੂੰ",
"ਅਤੇ",
"ਯਿਰਮਿਯਾਹ",
",",
"ਆਪਣੇ",
"ਆਪ",
"ਨੂੰ",
"ਲੁਕਾ",
"ਲਓ",
"ਅਤੇ",
"ਕੋਈ",
"ਨਾ",
"ਜਾਣੇ",
"ਕਿ",
"ਤੁਸੀਂ",
"ਕਿੱਥੇ",
"ਹੋ",
"!",
"\"",
"-",
"ਯਿਰਮਿਯਾਹ",
"36:12",
"-",
"19",
"."
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-PER",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਇਸ",
"ਮੀਟਿੰਗ",
"ਵਿੱਚ",
"ਮੁੱਖ",
"ਮੰਤਰੀ",
"ਕੈਪਟਨ",
"ਅਮਰਿੰਦਰ",
"ਸਿੰਘ",
",",
"ਪੰਜਾਬ",
"ਮਾਮਲਿਆਂ",
"ਦੀ",
"ਇੰਚਾਰਜ",
"ਆਸ਼ਾ",
"ਕੁਮਾਰੀ",
"ਤੇ",
"ਪੰਜਾਬ",
"ਕਾਂਗਰਸ",
"ਦੇ",
"ਪ੍ਰਧਾਨ",
"ਸੁਨੀਲ",
"ਜਾਖੜ",
"ਹਾਜ਼ਰ",
"ਸਨ",
"।"
] | [
"B-PER",
"O",
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"O",
"B-LOC",
"O",
"O",
"O",
"B-PER",
"I-PER",
"O",
"B-PER",
"I-PER",
"I-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. | [
"ਇਸ",
"ਮੌਕੇ",
"'",
"ਤੇ",
"ਖੂਨਦਾਨੀਆਂ",
"ਨੂੰ",
"ਰਿਫਰੈਸਮੈਂਟ",
"ਵੀ",
"ਦਿੱਤੀ",
"ਗਈ",
"।"
] | [
"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",
"ਵੀ",
"ਫ਼ੈਸਲਾ",
"ਲਿਆ",
"ਗਿਆ",
"ਕਿ",
"ਸ਼ਹਿਰੀ",
"ਹਵਾਬਾਜ਼ੀ",
"ਮੰਤਰਾਲੇ",
"ਤੇ",
"ਇਸ",
"ਦੇ",
"ਤਹਿਤ",
"ਆਉਣ",
"ਵਾਲੇ",
"ਸੰਗਠਨਾਂ",
"ਵੱਲੋਂ",
"ਕੀਤੇ",
"ਜਾ",
"ਰਹੇ",
"ਸੁਧਾਰ",
"ਬਾਰੇ",
"ਪਹਿਲ",
"ਇੱਕ",
"ਸਮਾਂਬੱਧ",
"ਤਰੀਕੇ",
"ਨਾਲ",
"ਹੋਣੀ",
"ਚਾਹੀਦੀ",
"ਹੈ",
"।",
"ਇਸ",
"ਬੈਠਕ",
"ਵਿੱਚ",
"ਗ੍ਰਹਿ",
"ਮੰਤਰੀ",
",",
"ਵਿੱਤ",
"ਮੰਤਰੀ",
",",
"ਰਾਜ",
"ਮੰਤਰੀ",
"(",
"ਸ਼ਹਿਰੀ",
"ਹਵਾਬਾਜ਼ੀ",
")",
",",
"ਰਾਜ",
"ਮੰਤਰੀ",
"(",
"ਵਿੱਤ",
")",
"ਅਤੇ",
"ਭਾਰਤ",
"ਸਰਕਾਰ",
"ਦੇ",
"ਵਿਭਿੰਨ",
"ਸੀਨੀਅਰ",
"ਅਧਿਕਾਰੀ",
"ਮੌਜੂਦ",
"ਰਹੇ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"B-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",
"O",
"O",
"O",
"B-ORG",
"O",
"O",
"B-ORG",
"I-ORG",
"O",
"O",
"B-ORG",
"O",
"O",
"B-ORG",
"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. | [
"ਆਂਧਰਾ",
"ਪ੍ਰਦੇਸ਼",
"ਰਾਜ",
"ਸਰਕਾਰ"
] | [
"B-ORG",
"I-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. | [
"ਇਸ",
"ਦੌਰਾਨ",
"ਪ੍ਰਧਾਨ",
"ਮੰਤਰੀ",
"ਨਰਿੰਦਰ",
"ਮੋਦੀ",
"ਸਮੇਤ",
"ਹੋਰ",
"ਆਗੂਆਂ",
"ਨੇ",
"ਦੇਸ਼ਵਾਸੀਆਂ",
"ਨੂੰ",
"ਨਵੇਂ",
"ਸਾਲ",
"ਦੀਆਂ",
"ਸ਼ੁੱਭਕਾਮਨਾਵਾਂ",
"ਦਿੱਤੀਆਂ",
"ਹਨ",
"।"
] | [
"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. | [
"ਕੇਂਦਰ",
"ਸਰਕਾਰ",
"ਨੇ",
"ਖ਼ਾਸ",
"ਕਰ",
"ਕੇ",
"ਉੱਤਰ",
"-",
"ਪੂਰਬੀ",
"ਰਾਜਾਂ",
"ਦੇ",
"ਨੌਜਵਾਨਾਂ",
"ਵਾਸਤੇ",
"'",
"ਸਟਾਰਟ",
"ਅੱਪਸ",
"'",
"ਲਈ",
"ਉੱਦਮ",
"ਫ਼ੰਡ",
",",
"ਮਨੀਪੁਰ",
"'",
"ਚ",
"ਸਪੋਰਟਸ",
"ਯੂਨੀਵਰਸਿਟੀ",
"ਅਤੇ",
"ਗੁਵਾਹਾਟੀ",
"ਯੂਨੀਵਰਸਿਟੀ",
"ਵਿੱਚ",
"ਬ੍ਰਹਮਪੁੱਤਰ",
"ਅਧਿਐਨ",
"ਕੇਂਦਰ",
"ਮੁਹੱਈਆ",
"ਕਰਵਾਉਣ",
"ਜਿਹੀਆਂ",
"ਅਨੇਕਾਂ",
"ਪਹਿਲਕਦਮੀਆਂ",
"ਕੀਤੀਆਂ",
"ਹਨ",
"।"
] | [
"B-ORG",
"I-ORG",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-ORG",
"I-ORG",
"O",
"O",
"O",
"O",
"O",
"B-LOC",
"O",
"O",
"O",
"O",
"O",
"B-ORG",
"I-ORG",
"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. | [
"ਮਨੀਸ਼",
"ਕੌਸ਼ਿਕ",
"(",
"63",
"ਕਿਲੋ",
")",
"ਨੇ",
"ਸੈਮੀਫਾਈਨਲ",
"ਵਿੱਚ",
"ਹਾਰ",
"ਕੇ",
"ਕਾਂਸੀ",
"ਦਾ",
"ਤਗ਼ਮਾ",
"ਹਾਸਲ",
"ਕੀਤਾ",
"ਸੀ",
"।"
] | [
"B-PER",
"I-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਕੈਨੇਡਾ",
"ਦੀ",
"ਯੂਨੀਵਰਸਿਟੀ",
"ਆਫ",
"ਟੋਰਾਂਟੋ",
"ਮਿਸੀਸਾਗਾ",
"ਦੇ",
"ਖੋਜ",
"ਕਰਤਾਵਾਂ",
"ਨੇ",
"ਅਰਜਨਟੀਨਾ",
",",
"ਚੀਨ",
"ਅਤੇ",
"ਦੱਖਣੀ",
"ਅਫਰੀਕਾ",
"ਵਿਚ",
"ਖੋਜੀਆਂ",
"ਗਈਆਂ",
"ਥਾਵਾਂ",
"ਬਾਰੇ",
"ਇਨ੍ਹਾਂ",
"ਅੰਡਿਆਂ",
"ਅਤੇ",
"ਅੰਡਿਆਂ",
"ਦੇ",
"ਛਿਲਕਿਆਂ",
"ਦੇ",
"ਫੋਸਿਲ",
"ਅਵਸ਼ੇਸ਼ਾਂ",
"ਦਾ",
"ਅਧਿਐਨ",
"ਕੀਤਾ",
"।"
] | [
"B-LOC",
"O",
"B-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"O",
"O",
"O",
"O",
"B-LOC",
"O",
"B-LOC",
"O",
"B-LOC",
"I-LOC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਨਵੀਂ",
"ਦਿੱਲੀ",
",",
"20",
"ਮਈ"
] | [
"B-LOC",
"I-LOC",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਓਬਾਮਾ",
"ਵਲੋਂ",
"ਨਿਖੇਧੀ"
] | [
"B-PER",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਉਨ੍ਹਾਂ",
"ਕਿਹਾ",
"ਕਿ",
"ਤਿੰਨ",
"ਸੂਬੇ",
"-",
"ਆਂਧਰਾ",
"ਪ੍ਰਦੇਸ਼",
",",
"ਗੁਜਰਾਤ",
"ਅਤੇ",
"ਕੇਰਲ",
"ਮਾਰਚ",
"2017",
"ਤੱਕ",
"100",
"%",
"ਓਡੀਐੱਫ",
"ਦਾ",
"ਟੀਚਾ",
"ਹਾਸਿਲ",
"ਕਰਨ",
"ਲਈ",
"ਵਚਨਬੱਧ",
"ਹਨ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"B-LOC",
"I-LOC",
"O",
"B-LOC",
"O",
"B-LOC",
"O",
"O",
"O",
"O",
"O",
"B-ORG",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਢੋਲ",
"ਅਤੇ",
"ਤਾਲ",
"(",
"ਸੰਗੀਤ",
")",
"ਦਾ",
"ਵੇਦ",
"ਯੁੱਗ",
"ਦੇ",
"ਹਵਾਲਿਆਂ",
"ਵਿੱਚ",
"ਜ਼ਿਕਰ",
"ਹੈ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਐੱਮਐੱਸਐੱਮਈ",
"ਟੈਕਨੋਲੋਜੀ",
"ਸੈਂਟਰ",
"ਭਿਵਾਡੀ",
"ਅਤੇ",
"ਟੀਸੀ",
"ਜਮਸ਼ੇਦਪੁਰ",
"ਨੇ",
"ਆਈਸੋਲੇਸ਼ਨ",
"ਸੈਂਟਰ",
"ਬਣਾਉਣ",
"ਲਈ",
"ਆਪਣੇ",
"ਖਾਲੀ",
"ਕਮਰਿਆਂ",
"ਦੀ",
"ਪੇਸ਼ਕਸ਼",
"ਕੀਤੀ",
"ਹੈ",
"।"
] | [
"B-ORG",
"I-ORG",
"I-ORG",
"B-LOC",
"O",
"O",
"B-LOC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਸਿੰਘ",
"ਨੇ",
"ਕਿਹਾ",
"ਕਿ",
"ਪ੍ਰਾਥਮਿਕ",
"ਸਿੱਖਿਆ",
"ਦੀ",
"ਗੁਣਵੱਤਾ",
"ਵਿੱਚ",
"ਸੁਧਾਰ",
"ਕਰਨਾ",
",",
"ਉੱਚ",
"ਸਿੱਖਿਆ",
"ਨੂੰ",
"ਲੋਕਾਂ",
"ਦੇ",
"ਅਨੁਕੂਲ",
"ਬਣਾਉਣਾ",
"ਅਤੇ",
"ਸਿੱਖਿਆ",
"ਦੀ",
"ਲੋਕਾਂ",
"ਤੱਕ",
"ਵੱਧ",
"ਤੋਂ",
"ਵੱਧ",
"ਪਹੁੰਚ",
"ਵਰਗੇ",
"ਮੁੱਖ",
"ਮੁੱਦਿਆਂ",
"ਦਾ",
"ਸਿੱਖਿਆ",
"ਪ੍ਰਣਾਲੀ",
"ਨੂੰ",
"ਸਾਹਮਣਾ",
"ਕਰਨਾ",
"ਪੈ",
"ਰਿਹਾ",
"ਹੈ",
"।"
] | [
"B-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"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. | [
"ਸਿੱਕੇ",
"'",
"ਤੇ",
"ਗੁਰੂ",
"ਨਾਨਕ",
"ਦੇਵ",
"ਜੀ",
"ਦੇ",
"ਜਨਮ",
"ਅਸਥਾਨ",
"ਨਨਕਾਣਾ",
"ਸਾਹਿਬ",
"ਦਾ",
"ਚਿੱਤਰ",
"ਉਕੇਰਿਆ",
"ਗਿਆ",
"ਹੈ",
"।"
] | [
"O",
"O",
"O",
"B-PER",
"I-PER",
"I-PER",
"I-PER",
"O",
"O",
"B-LOC",
"B-PER",
"I-PER",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਉਨ੍ਹਾਂ",
"ਕਿਹਾ",
"ਕਿ",
"ਫੂਡ",
"ਐਂਡ",
"ਡਰੱਗ",
"ਐਡਮਿਨਸਟ੍ਰੇਸ਼ਨ",
"ਵੱਲੋਂ",
"ਪੰਜਾਬ",
"ਦੇ",
"ਵਸਨੀਕਾਂ",
"ਨੂੰ",
"ਸੁਰੱਖਿਅਤ",
"ਤੇ",
"ਪ੍ਰਭਾਵੀ",
"ਦਵਾਈਆਂ",
"ਮੁਹੱਈਆ",
"ਕਰਵਾਉਣ",
"ਅਤੇ",
"ਸੂਬੇ",
"ਵਿੱਚੋਂ",
"ਨਸ਼ਿਆਂ",
"ਦੀ",
"ਲਾਹਨਤ",
"ਨੂੰ",
"ਜੜੋਂ",
"ਉਖਾੜਨ",
"ਲਈ",
"ਅਣਥੱਕ",
"ਯਤਨ",
"ਕੀਤੇ",
"ਜਾ",
"ਰਹੇ",
"ਹਨ",
"।"
] | [
"O",
"O",
"O",
"B-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"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. | [
"2006",
"ਦੇ",
"ਸੇਵਾ",
"ਸਾਲ",
"ਲਈ",
"ਸੰਸਾਰ",
"ਭਰ",
"ਵਿਚ",
"ਯਹੋਵਾਹ",
"ਦੇ",
"ਗਵਾਹਾਂ",
"ਦੀ",
"ਰਿਪੋਰਟ",
"ਦਿਖਾਉਂਦੀ",
"ਹੈ",
"ਕਿ",
"2,48,327",
"ਲੋਕਾਂ",
"ਨੇ",
"ਆਪਣਾ",
"ਜੀਵਨ",
"ਯਹੋਵਾਹ",
"ਨੂੰ",
"ਅਰਪਣ",
"ਕਰ",
"ਕੇ",
"ਬਪਤਿਸਮਾ",
"ਲਿਆ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਲਾਸ਼",
"ਨੂੰ",
"ਸਿਵਲ",
"ਹਸਪਤਾਲ",
"ਦੇ",
"ਮੁਰਦਾਘਰ",
"ਵਿੱਚ",
"ਰੱਖ",
"ਦਿੱਤਾ",
"ਗਿਆ",
"ਹੈ",
"।"
] | [
"O",
"O",
"B-LOC",
"I-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. | [
"ਸਾਂ",
"ਫਰਾਂਸਿਸਕੋ",
",",
"4",
"ਅਕਤੂਬਰ"
] | [
"B-LOC",
"I-LOC",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਅਮਰੀਕਾ",
"ਨੇ",
"ਇਸ",
"ਕਦਮ",
"ਦੀ",
"ਸਖਤ",
"ਨਿਖੇਧੀ",
"ਕੀਤੀ",
"ਹੈ",
"।"
] | [
"B-LOC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਡੀਆਰਡੀਓ",
"ਨੇ",
"ਦਿਹਾਰ",
",",
"ਲੇਹ",
"ਵਿੱਚ",
"ਕੋਵਿਡ",
"-",
"19",
"ਟੈਸਟਿੰਗ",
"ਸੁਵਿਧਾ",
"ਦੀ",
"ਸਥਾਪਨਾ",
"ਕੀਤੀ",
"ਡੀਆਰਡੀਓ",
"ਨੇ",
"ਕੇਂਦਰ",
"ਸ਼ਾਸਿਤ",
"ਪ੍ਰਦੇਸ਼",
"ਲੱਦਾਖ",
"ਵਿੱਚ",
"ਕੋਰੋਨਾ",
"ਮਾਮਲਿਆਂ",
"ਦੀ",
"ਪਹਿਚਾਣ",
"ਦੇ",
"ਉਦੇਸ਼",
"ਨਾਲ",
"ਟੈਸਟਿੰਗ",
"ਦੀ",
"ਦਰ",
"ਨੂੰ",
"ਵਧਾਉਣ",
"ਲਈ",
"ਲੇਹ",
"ਸਥਿਤ",
"ਪ੍ਰਯੋਗਸ਼ਾਲਾ",
",",
"ਡਿਫੈਂਸ",
"ਇੰਸਟੀਟਿਊਟ",
"ਆਵ੍",
"ਹਾਈ",
"ਅਲਟੀਟਿਊਡ",
"ਰਿਸਰਚ",
"(",
"ਦਿਹਾਰ",
")",
"ਵਿੱਚ",
"ਕੋਵਿਡ",
"-",
"19",
"ਟੈਸਟਿੰਗ",
"ਸੁਵਿਧਾ",
"ਦੀ",
"ਸਥਾਪਨਾ",
"ਕੀਤੀ",
"ਹੈ",
"।"
] | [
"B-ORG",
"O",
"B-LOC",
"O",
"B-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"O",
"B-LOC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-LOC",
"O",
"O",
"O",
"B-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"O",
"B-ORG",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਉਸ",
"ਨੂੰ",
"ਅਦਾਲਤ",
"ਵਿੱਚ",
"ਪੇਸ਼",
"ਕਰ",
"ਕੇ",
"ਰਿਮਾਂਡ",
"ਲਿਆ",
"ਜਾਵੇਗਾ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਮੁਲਜ਼ਮ",
"ਗੈਂਗਸਟਰਾਂ",
"ਦੀ",
"ਪਛਾਣ",
"ਗੁਰਜੰਟ",
"ਸਿੰਘ",
"ਉਰਫ",
"ਪੱਟੀ",
"ਤੇ",
"ਜਗਰੂਪ",
"ਸਿੰਘ",
"ਉਰਫ",
"ਜੁਪਾ",
"ਵਜੋਂ",
"ਹੋਈ",
"ਹੈ",
"।"
] | [
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"O",
"B-LOC",
"O",
"B-PER",
"I-PER",
"O",
"B-LOC",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਸੀਪੀਆਈ",
"-",
"ਆਈਡਬਲਿਊ",
"ਦਾ",
"ਅਗਲਾ",
"ਨਵੰਬਰ",
"2017",
"ਦਾ",
"ਸੂਚਕ",
"ਅੰਕ",
"ਸ਼ੁੱਕਰਵਾਰ",
"29",
"ਦਸੰਬਰ",
"2017",
"ਨੂੰ",
"ਜਾਰੀ",
"ਕੀਤਾ",
"ਜਾਵੇਗਾ",
"ਜੋ",
"ਸਰਕਾਰੀ",
"ਵੈੱਬਸਾਈਟ",
"www",
".",
"labourbureaunew",
".",
"gov",
".",
"in",
".",
"ਉੱਤੇ",
"ਮੁਹੱਈਆ",
"ਹੋਵੇਗਾ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"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. | [
"\"",
"ਯਹੋਵਾਹ",
"ਆਪਣੇ",
"ਸਾਰੇ",
"ਰਾਹਾਂ",
"ਵਿੱਚ",
"ਧਰਮੀ",
"ਹੈ",
",",
"ਅਤੇ",
"ਆਪਣੇ",
"ਸਾਰੇ",
"ਕੰਮਾਂ",
"ਵਿੱਚ",
"ਦਯਾਵਾਨ",
"ਹੈ",
"।",
"\""
] | [
"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. | [
"ਸਟਾਰ",
"ਗੋਲਕੀਪਰ",
"ਪੀ",
"ਆਰ",
"ਸ੍ਰੀਜੇਸ਼",
"ਮਲੇਸ਼ੀਆ",
"ਦੇ",
"ਇਪੋਹ",
"ਵਿੱਚ",
"29",
"ਅਪਰੈਲ",
"ਤੋਂ",
"ਸ਼ੁਰੂ",
"ਹੋਣ",
"ਵਾਲੇ",
"26",
"ਵੇਂ",
"ਸੁਲਤਾਨ",
"ਅਜਲਾਨ",
"ਸ਼ਾਹ",
"ਕੱਪ",
"ਵਿੱਚ",
"18",
"ਮੈਂਬਰੀ",
"ਭਾਰਤੀ",
"ਹਾਕੀ",
"ਟੀਮ",
"ਦੀ",
"ਅਗਵਾਈ",
"ਕਰਨਗੇ",
"।"
] | [
"O",
"O",
"B-PER",
"O",
"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"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਪਿੰਡ",
"ਅਮਬਰਹਾਈ"
] | [
"O",
"B-LOC"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਕੁਸ਼",
"ਕੁਮਾਰ",
"ਸਮੇਤ",
"ਵੱਡੀ",
"ਗਿਣਤੀ",
"ਵਿਚ",
"ਖੇਡ",
"ਪ੍ਰੇਮੀ",
"ਹਾਜ਼ਰ",
"ਸਨ",
"।"
] | [
"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. | [
"ਸਮਝਿਆ",
"ਜਾਂਦਾ",
"ਹੈ",
"ਕਿ",
"ਵਿਦੇਸ਼",
"ਮੰਤਰੀ",
"ਮਾਈਕ",
"ਪੌਂਪੀਓ",
"ਅਤੇ",
"ਕੌਮੀ",
"ਸੁਰੱਖਿਆ",
"ਸਲਾਹਕਾਰ",
"ਜੌਹਨ",
"ਬੋਲਟਨ",
"ਨੇ",
"ਪਾਕਿਸਤਾਨ",
"ਦੇ",
"ਵਿਦੇਸ਼",
"ਮੰਤਰੀ",
"ਸ਼ਾਹ",
"ਮਹਿਮੂਦ",
"ਕੁਰੈਸ਼ੀ",
"ਨਾਲ",
"ਕੀਤੀਆਂ",
"ਵੱਖੋ",
"ਵੱਖਰੀਆਂ",
"ਮੀਟਿੰਗਾਂ",
"ਦੌਰਾਨ",
"ਇਹ",
"ਗੱਲ",
"ਆਖੀ",
"ਹੈ",
"ਕਿ",
"ਜਿੱਥੋਂ",
"ਤੱਕ",
"ਪਾਕਿਸਤਾਨੀ",
"ਸਰਜ਼ਮੀਨ",
"ਤੋਂ",
"ਸਰਗਰਮ",
"ਦਹਿਸ਼ਤਗਰਦਾਂ",
"ਖ਼ਿਲਾਫ਼",
"ਕਾਰਵਾਈ",
"ਦਾ",
"ਸਬੰਧ",
"ਹੈ",
"ਉਸ",
"ਸਬੰਧੀ",
"ਜ਼ਮੀਨੀ",
"ਹਾਲਾਤ",
"ਵਿੱਚ",
"ਕੋਈ",
"ਖਾਸ",
"ਤਬਦੀਲੀ",
"ਨਜ਼ਰ",
"ਨਹੀਂ",
"ਆ",
"ਰਹੀ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"O",
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"I-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਸੰਯੁਕਤ",
"ਰਾਸ਼ਟਰ",
",",
"28",
"ਸਤੰਬਰ"
] | [
"B-ORG",
"I-ORG",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਸੱਜੇ",
"ਬੈਂਕ",
"ਨਹਿਰ"
] | [
"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. | [
"ਇਸ",
"ਵਾਰਦਾਤ",
"'",
"ਚ",
"ਇਕ",
"ਔਰਤ",
"ਜ਼ਖ਼ਮੀ",
"ਹੋ",
"ਗਈ",
"।"
] | [
"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. | [
"ਬਲਾਕ",
"ਸੰਗਤ",
"ਦੇ",
"ਪਿੰਡ",
"ਮਸਾਣਾ",
",",
"ਦੁੱਨੇਵਾਲਾ",
",",
"ਗੁਰਥੜੀ",
"ਅਤੇ",
"ਗਹਿਰੀ",
"ਬੁੱਟਰ",
"ਦੇ",
"ਖੇਤਾਂ",
"ਦੀ",
"ਰਾਖੀ",
"ਲਈ",
"ਹਰਿਆਣਾ",
"ਦੀ",
"ਘੋੜਾ",
"ਬ੍ਰਿਗੇਡ",
"ਦੇ",
"ਛੇ",
"ਮੈਂਬਰ",
"ਡਟੇ",
"ਹੋਏ",
"ਹਨ",
"ਜਿਨ੍ਹਾਂ",
"ਕੋਲ",
"ਚਾਰ",
"ਘੋੜੇ",
"ਹਨ",
"।"
] | [
"O",
"B-LOC",
"O",
"O",
"B-LOC",
"O",
"B-LOC",
"O",
"B-LOC",
"O",
"B-LOC",
"I-LOC",
"O",
"O",
"O",
"O",
"O",
"B-ORG",
"O",
"B-LOC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਸੁਪਰੀਮ",
"ਕੋਰਟ",
"ਵੱਲੋਂ",
"ਅਮਿਤ",
"ਸ਼ਾਹ",
"ਨੂੰ",
"ਰਾਹਤ"
] | [
"O",
"B-ORG",
"O",
"B-PER",
"I-PER",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਪ੍ਰਧਾਨ",
"ਮੰਤਰੀ",
"ਨੇ",
"ਅੱਜ",
"ਕਿਹਾ",
"ਕਿ",
"ਵੱਡੇ",
"ਨਿਵੇਸ਼",
"ਵਾਲੇ",
"ਵੱਡੇ",
"ਪ੍ਰੋਜੈਕਟਾਂ",
"ਦੀ",
"ਨਿਗਰਾਨੀ",
"ਹੁਣ",
"ਪ੍ਰਧਾਨ",
"ਮੰਤਰੀ",
"ਦਫ਼ਤਰ",
"(",
"ਪੀਐੱਮਓ",
")",
"ਵੱਲੋਂ",
"ਕੀਤੀ",
"ਜਾਏਗੀ",
"।"
] | [
"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. | [
"ਅਤੇ",
"ਕੁਝ",
"ਹੋਰ",
"ਹਨ",
"."
] | [
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਭਾਰਤ",
"ਕਿਸੇ",
"ਵੀ",
"ਹਾਲਾਤ",
"ਨਾਲ",
"ਨਜਿੱਠਣ",
"ਦੇ",
"ਸਮਰੱਥਃ",
"ਨਾਇਕ"
] | [
"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. | [
"ਵਿਦਿਆਰਥੀਆਂ",
"ਦੇ",
"ਸੰਸਦ",
"ਵੱਲ",
"ਮਾਰਚ",
"ਕੱਢਣ",
"ਕਰਕੇ",
"ਲੁਟੀਅਨਜ਼",
"ਦਿੱਲੀ",
"ਦੇ",
"ਕੁਝ",
"ਹਿੱਸਿਆਂ",
"'",
"ਚ",
"ਆਵਾਜਾਈ",
"ਪ੍ਰਭਾਵਿਤ",
"ਰਹੀ",
"।"
] | [
"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. | [
"ਅਗਸਤ",
"9",
",",
"ਤੋਂ",
"ਐੱਨਡੀਆਰਐੱਫ",
",",
"ਥਲ",
"ਸੈਨਾ",
"ਅਤੇ",
"ਜਲ",
"ਸੈਨਾ",
"ਨੇ",
"ਕੁੱਲ",
"ਮਿਲਾ",
"ਕੇ",
"6,714",
"ਲੋਕਾਂ",
"ਨੂੰ",
"ਬਚਾਇਆ",
"ਜਾਂ",
"ਕੱਢਿਆ",
"ਹੈ",
"ਅਤੇ",
"891",
"ਵਿਅਕਤੀਆਂ",
"ਨੂੰ",
"ਡਾਕਟਰੀ",
"ਸਹਾਇਤਾ",
"ਮੁਹੱਈਆ",
"ਕਰਵਾਈ",
"ਹੈ",
"।"
] | [
"O",
"O",
"O",
"O",
"B-ORG",
"O",
"B-ORG",
"O",
"O",
"B-ORG",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the 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",
"ਹਰਪ੍ਰੀਤ",
"ਸਿੰਘ",
"ਸਿੱਧੂ",
",",
"ਜਨਰਲ",
"ਮੈਨੇਜਰ",
",",
"ਪੰਜਾਬ",
"ਮੰਡੀ",
"ਬੋਰਡ",
",",
"ਜਗਮੋਹਨ",
"ਜ਼ਿਲ੍ਹਾ",
"ਪ੍ਰਬੰਧਕ",
"ਮਾਰਕਫੈਡ",
",",
"ਰਜਿਸਟਰਾਰ",
"ਸੀ",
"ਟੀ",
"ਯੂਨੀਵਰਸਿਟੀ",
"ਡਾ",
"."
] | [
"O",
"O",
"B-PER",
"I-PER",
"I-PER",
"O",
"O",
"O",
"O",
"B-ORG",
"I-ORG",
"I-ORG",
"O",
"O",
"O",
"O",
"B-ORG",
"O",
"O",
"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. | [
"ਐਗਜ਼ਿਮ",
"ਬੈਂਕ",
"ਢੁਕਵੇਂ",
"ਸਮੇਂ",
"ਉੱਤੇ",
"ਇਸ",
"ਅੰਬਰੇਲਾ",
"ਸਮਝੌਤੇ",
"ਦੀ",
"ਵਰਤੋਂ",
"ਕਰਦੇ",
"ਹੋਏ",
"ਆਪਣੇ",
"ਕਾਰੋਬਾਰ",
"ਲਈ",
"ਸੋਮੇ",
"ਜੁਟਾਉਣ",
"ਲਈ",
"ਇਨ੍ਹਾਂ",
"ਮੈਂਬਰ",
"ਸੰਸਥਾਨਾਂ",
"ਵਿਚੋਂ",
"ਕਿਸੇ",
"ਨਾਲ",
"ਵੀ",
"ਦੋ",
"-",
"ਪੱਖੀ",
"ਸਮਝੌਤਾ",
"ਕਰ",
"ਸਕੇਗਾ",
"।"
] | [
"B-ORG",
"I-ORG",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the 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",
"ਦੀ",
"ਕੀ",
"ਹੋ",
"ਰਿਹਾ",
"ਹੈ",
"?"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਦਿੱਲੀ",
"ਦੇ",
"ਗ੍ਰਹਿ",
"ਮੰਤਰੀ",
"ਸਤੇਂਦਰ",
"ਜੈਨ",
"ਨੇ",
"ਕਿਹਾ",
"ਕਿ",
"ਇਹ",
"ਕਮਿਸ਼ਨ",
"ਸੇਵਾਮੁਕਤ",
"ਜਸਟਿਸ",
"ਐਸ",
"ਐਨ",
"ਅਗਰਵਾਲ",
"ਦੀ",
"ਅਗਵਾਈ",
"ਹੇਠ",
"ਰਿਪੋਰਟ",
"ਦੇਵੇਗਾ",
"ਤੇ",
"ਇਸ",
"ਕਮਿਸ਼ਨ",
"ਵਲੋਂ",
"ਜਾਂਚ",
"ਮੁਕੰਮਲ",
"ਕਰਨ",
"ਦੀ",
"ਮਿਆਦ",
"ਇਕ",
"ਦੋ",
"ਦਿਨਾਂ",
"ਵਿਚ",
"ਐਲਾਨ",
"ਦਿੱਤੀ",
"ਜਾਵੇਗੀ",
"।"
] | [
"B-LOC",
"O",
"O",
"O",
"B-PER",
"I-PER",
"O",
"O",
"O",
"O",
"B-ORG",
"O",
"B-PER",
"I-PER",
"I-PER",
"I-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਉਸ",
"ਨੇ",
"ਕਿਹਾ",
"ਕਿ",
"ਇੰਗਲੈਂਡ",
"ਲਈ",
"ਖੇਡਣ",
"ਸੱਚ",
"ਵਿੱਚ",
"ਮਾਣ",
"ਵਾਲੀ",
"ਗੱਲ",
"ਹੈ",
"ਅਤੇ",
"ਉਸ",
"ਨੂੰ",
"ਆਸ",
"ਹੈ",
"ਕਿ",
"ਉਹ",
"ਬਤੌਰ",
"ਟੈਸਟ",
"ਖਿਡਾਰੀ",
"ਕੰਮ",
"ਜਾਰੀ",
"ਰੱਖਗੇਾ",
",",
"ਪੂਰਾ",
"ਯੋਗਦਾਨ",
"ਪਾਏਗਾ",
"ਅਤੇ",
"ਇੰਗਲੈਂਡ",
"ਦੇ",
"ਅਗਲੇ",
"ਕਪਤਾਨ",
"ਤੇ",
"ਟੀਮ",
"ਦੀ",
"ਮਦਦ",
"ਕਰੇਗਾ",
"।"
] | [
"O",
"O",
"O",
"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",
"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. | [
"ਕੁੱਝ",
"ਸਾਬਕਾ",
"ਟਰੱਕ",
"ਯੂਨੀਅਨਾਂ",
"ਵੱਲੋਂ",
"ਆਉਂਦੇ",
"ਝੋਨੇ",
"ਦੇ",
"ਸੀਜ਼ਨ",
"ਦੌਰਾਨ",
"ਲਿਫਟਿੰਗ",
"'",
"ਚ",
"ਰੁਕਾਵਟ",
"ਪੈਦਾ",
"ਕਰਨ",
"ਸਬੰਧੀ",
"ਪ੍ਰਗਟਾਏ",
"ਜਾ",
"ਰਹੇ",
"ਖਦਸ਼ੇ",
"ਦੀ",
"ਗੱਲ",
"ਕਰਦਿਆਂ",
"ਮੁੱਖ",
"ਮੰਤਰੀ",
"ਨੇ",
"ਕਿਹਾ",
"ਕਿ",
"ਮੰਡੀਆਂ",
"ਵਿੱਚ",
"ਲੋੜੀਂਦੇ",
"ਪ੍ਰਬੰਧ",
"ਕੀਤੇ",
"ਜਾਣਗੇ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"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. | [
"ਪੀ",
".",
"ਪੀ",
".",
"ਚੋਣਾਂ",
"'",
"ਚ",
"ਮੋਹਾਲੀ",
"ਦੇ",
"ਜੰਮਪਲ",
"ਦੀਪਕ",
"ਅਨੰਦ",
"ਨੇ",
"ਮਿਸੀਸੌਗਾ",
"ਮਾਲਟਨ",
"ਖੇਤਰ",
"ਤੋਂ",
"ਪ੍ਰੋਗਰੈਸਿਵ",
"ਕੰਜ਼ਰਵੇਟਿਵ",
"ਪਾਰਟੀ",
"ਦੀ",
"ਟਿਕਟ",
"'",
"ਤੇ",
"ਜਿੱਤ",
"ਹਾਸਲ",
"ਕੀਤੀ",
"ਹੈ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-PER",
"O",
"O",
"B-PER",
"I-PER",
"O",
"B-LOC",
"O",
"O",
"O",
"B-ORG",
"I-ORG",
"I-ORG",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਟਾਈਗਰ",
"ਮੇਮਨ",
"ਦੇ",
"ਭਰਾ",
"ਤੇ",
"ਮੁੰਬਈ",
"ਧਮਾਕਿਆਂ",
"ਦੇ",
"ਦੋਸ਼ੀ",
"ਯੂਸਫ",
"ਦੀ",
"ਮੌਤ"
] | [
"B-PER",
"I-PER",
"O",
"O",
"O",
"B-LOC",
"O",
"O",
"O",
"B-PER",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਪੰਜਾਬ",
"ਪ੍ਰਦੇਸ਼",
"ਕਾਂਗਰਸ",
"ਕਮੇਟੀ",
"ਦੇ",
"ਪ੍ਰਧਾਨ",
"ਕੈਪਟਨ",
"ਅਮਰਿੰਦਰ",
"ਸਿੰਘ",
"ਨੇ",
"ਮਹਾਰਾਜਾ",
"ਰਣਜੀਤ",
"ਸਿੰਘ",
"ਦੇ",
"ਫਿਲੌਰ",
"ਸਥਿਤ",
"ਇਤਿਹਾਸਕ",
"ਕਿਲੇ",
"ਨੂੰ",
"ਭਾਰਤੀਆ",
"ਪੁਰਾਤੱਤਵ",
"ਸਰਵੇਖਣ",
"'",
"ਏ",
".",
"ਐਸ",
".",
"ਆਈ",
".",
"'",
"ਨੂੰ",
"ਸੌਂਪੇ",
"ਜਾਣ",
"ਦਾ",
"ਵਿਰੋਧ",
"ਕੀਤਾ",
"ਹੈ",
"।"
] | [
"O",
"O",
"B-ORG",
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"O",
"O",
"B-LOC",
"I-LOC",
"I-LOC",
"B-LOC",
"I-LOC",
"I-LOC",
"I-LOC",
"O",
"B-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"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. | [
"ਹਾਲਾਂਕਿ",
"ਪ੍ਰਗਟ",
"ਸਿੰਘ",
"ਨੇ",
"ਇਸ",
"ਬਾਰੇ",
"ਕੁੱਝ",
"ਵੀ",
"ਨਹੀਂ",
"ਕਿਹਾ",
"ਹੈ",
"।"
] | [
"O",
"O",
"B-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਪੰਜਾਬ",
"ਯੁਵਕ",
"ਵਿਕਾਸ",
"ਬੋਰਡ",
"ਦੇ",
"ਚੇਅਰਮੈਨ",
"ਗੁਰਪ੍ਰੀਤ",
"ਸਿੰਘ",
"ਰਾਜੂ",
"ਖੰਨਾ",
"ਵਿਸ਼ੇਸ਼",
"ਤੌਰ",
"'",
"ਤੇ",
"ਪਹੁੰਚੇ",
"।"
] | [
"B-LOC",
"B-ORG",
"I-ORG",
"I-ORG",
"O",
"O",
"B-PER",
"I-PER",
"I-PER",
"I-PER",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"'",
"ਗੁੱਡ",
"ਨਿਊਜ਼",
"'",
"ਫਿਲਮ",
"ਨੂੰ",
"ਰਾਜ",
"ਮਹਿਤਾ",
"ਵੱਲੋਂ",
"ਡਾਇਰੈਕਟ",
"ਕੀਤਾ",
"ਗਿਆ",
"ਹੈ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਏਬੀਵੀਪੀ",
"ਦਿੱਲੀ",
"ਦੇ",
"ਸੂਬਾ",
"ਸੈਕਟਰੀ",
"ਸਿਸਾਰਥ",
"ਯਾਦਵ",
"ਨੇ",
"ਸਵੀਕਾਰ",
"ਕੀਤਾ",
"ਕਿ",
"ਕੋਮਲ",
"ਸੰਗਠਨ",
"ਦੀ",
"ਮੈਂਬਰ",
"ਹੈ",
"।"
] | [
"B-ORG",
"I-ORG",
"O",
"O",
"O",
"B-PER",
"I-PER",
"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. | [
"ਰਾਜਕੋਟ",
"ਦੀ",
"ਇਹ",
"ਪਲਾਂਟ",
"ਦੀਪਕ",
"ਦੀ",
"ਡੀਜਲ",
"ਪ੍ਰਾਈਵੇਟ",
"ਲਿਮਟਿਡ",
"ਅਤੇ",
"ਮਹਿੰਦਰਾ",
"ਐਂਡ",
"ਮਹਿੰਦਰਾ",
"ਦੁਆਰਾ",
"ਸਾਂਝੇ",
"ਤੌਰ",
"'",
"ਤੇ",
"ਸਥਾਪਤ",
"ਕੀਤੀ",
"ਗਈ",
"ਹੈ",
"।"
] | [
"B-LOC",
"O",
"O",
"O",
"B-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"O",
"B-ORG",
"I-ORG",
"I-ORG",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਉਨ੍ਹਾਂ",
"ਕਿਹਾ",
"ਕਿ",
"ਇਸ",
"ਦਾ",
"ਕੋਈ",
"ਪੱਕਾ",
"ਹੱਲ",
"ਕੱਿਢਆ",
"ਜਾਣਾ",
"ਚਾਹੀਦਾ",
"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. | [
"ਮੌਸਮ",
"ਵਿਭਾਗ",
"ਦੇ",
"ਇਕ",
"ਅਧਿਕਾਰੀ",
"ਨੇ",
"ਇਹ",
"ਜਾਣਕਾਰੀ",
"ਦਿੱਤੀ",
"।"
] | [
"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. | [
"ਇਸ",
"ਤੋਂ",
"ਪਹਿਲਾਂ",
"ਅਮਰੀਕਾ",
"ਦੇ",
"ਸਾਬਕਾ",
"ਰਾਸ਼ਟਰਪਤੀ",
"ਬਰਾਕ",
"ਓਬਾਮਾ",
"ਦੀ",
"ਫੇਰੀ",
"ਦੌਰਾਨ",
"ਸਾਬਕਾ",
"ਪ੍ਰਧਾਨ",
"ਮੰਤਰੀ",
"ਮਨਮੋਹਨ",
"ਸਿੰਘ",
"ਅਤੇ",
"ਕਾਂਗਰਸੀ",
"ਆਗੂ",
"ਸੋਨੀਆ",
"ਗਾਂਧੀ",
"ਸਮੇਤ",
"ਕਾਂਗਰਸ",
"ਦੇ",
"ਇੱਕ",
"ਵਫ਼ਦ",
"ਨੇ",
"ਉਨ੍ਹਾਂ",
"ਨਾਲ",
"ਮੁਲਾਕਾਤ",
"ਕੀਤੀ",
"ਸੀ",
"।"
] | [
"O",
"O",
"O",
"B-LOC",
"O",
"O",
"O",
"B-PER",
"I-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"O",
"B-ORG",
"O",
"B-PER",
"I-PER",
"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. | [
"ਫੜੇ",
"ਗਏ",
"ਵਿਅਕਤੀਆਂ",
"ਦੀ",
"ਪਛਾਣ",
"ਮੁਹੰਮਦ",
"ਇਰਫਾਨ",
"ਵਾਸੀ",
"ਢੱਡੇਵਾੜਾ",
"ਤੇ",
"ਮੁਹੰਮਦ",
"ਅਮਜਦ",
"ਉਰਫ",
"ਰਾਸ਼ਿਦ",
"ਵਾਸੀ",
"ਦਿੱਲੀ",
"ਗੇਟ",
"ਮਾਲੇਰਕੋਟਲਾ",
"ਵਜੋਂ",
"ਹੋਈ",
"ਹੈ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"O",
"B-LOC",
"O",
"B-PER",
"I-PER",
"I-PER",
"I-PER",
"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. | [
"ਮਰਹੂਮ",
"ਪ੍ਰਧਾਨ",
"ਮੰਤਰੀ",
"ਇੰਦਰਾ",
"ਗਾਂਧੀ",
"ਅਤੇ",
"ਰਾਜੀਵ",
"ਗਾਂਧੀ",
"ਦੇ",
"ਨੇੜਲੇ",
"ਸੀਨੀਅਰ",
"ਕਾਂਗਰਸੀ",
"ਆਗੂ",
"ਮਾਖਨ",
"ਲਾਲ",
"ਫੋਤੇਦਾਰ",
"ਦਾ",
"ਅੱਜ",
"ਗੁਰੂਗ੍ਰਾਮ",
"ਦੇ",
"ਮੇਦਾਂਤਾ",
"ਹਸਪਤਾਲ",
"ਵਿੱਚ",
"ਦੇਹਾਂਤ",
"ਹੋ",
"ਗਿਆ",
"।"
] | [
"B-LOC",
"O",
"O",
"B-PER",
"I-PER",
"O",
"B-PER",
"I-PER",
"O",
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"I-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਦਿਵਿਆ",
"ਮਦਰੇਨਾ",
"ਰਾਜਸਥਾਨ",
"ਦੀ",
"ਇੱਕ",
"ਭਾਰਤੀ",
"ਸਿਆਸਤਦਾਨ",
"ਹੈ",
"।"
] | [
"B-PER",
"I-PER",
"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. | [
"ਟਾਟਾ",
"ਗਰੁੱਪ",
"ਨੇ",
"ਅੱਜ",
"ਸੁਪਰੀਮ",
"ਕੋਰਟ",
",",
"ਬੰਬੇ",
"ਹਾਈ",
"ਕੋਰਟ",
"ਅਤੇ",
"ਨੈਸ਼ਨਲ",
"ਕੰਪਨੀ",
"ਲਾਅ",
"ਟ੍ਰਿਬਿਊਨਲ",
"ਵਿੱਚ",
"ਉਜ਼ਰਦਾਰੀ",
"ਦਾਖ਼ਲ",
"ਕੀਤੀ",
"ਹੈ",
"ਤਾਂ",
"ਜੋ",
"ਸਾਇਰਸ",
"ਮਿਸਤਰੀ",
"ਅਦਾਲਤਾਂ",
"ਤੋਂ",
"ਕੋਈ",
"ਇਕਤਰਫ਼ਾ",
"ਹੁਕਮ",
"ਪਾਸ",
"ਨਾ",
"ਕਰਾ",
"ਸਕੇ",
"।"
] | [
"B-ORG",
"O",
"O",
"O",
"B-ORG",
"I-ORG",
"O",
"B-ORG",
"I-ORG",
"I-ORG",
"O",
"B-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"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. | [
"ਉਸ",
"ਨੂੰ",
"ਡੀਡੀਯੂ",
"ਹਸਪਤਾਲ",
"ਲਿਜਾਇਆ",
"ਗਿਆ",
",",
"ਜਿੱਥੋਂ",
"ਉਸ",
"ਨੂੰ",
"ਉਸੇ",
"ਦਿਨ",
"ਐੱਲਐੱਨਜੇਪੀ",
"ਹਸਪਤਾਲ",
"ਰੈਫਰ",
"ਕੀਤਾ",
"ਗਿਆ",
"।"
] | [
"O",
"O",
"B-LOC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-ORG",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਪ੍ਰਧਾਨ",
"ਮੰਤਰੀ",
"ਸ੍ਰੀ",
"ਸਿੱਦਾਗੰਗਾ",
"ਮਠ",
"ਦਾ",
"ਵੀ",
"ਦੌਰਾ",
"ਕਰਨਗੇ",
"ਜਿਥੇ",
"ਉਹ",
"ਸ੍ਰੀ",
"ਸ਼੍ਰੀ",
"ਸ਼ਿਵਾਕੁਮਾਰ",
"ਸਵਾਮੀ",
"ਜੀ",
"ਦੇ",
"ਯਾਦਗਾਰ",
"ਅਜਾਇਬ",
"ਘਰ",
"ਦਾ",
"ਨੀਂਹ",
"ਪੱਥਰ",
"ਰੱਖਣ",
"ਲਈ",
"ਇਕ",
"ਤਖ਼ਤੀ",
"ਦਾ",
"ਉਦਘਾਟਨ",
"ਕਰਨਗੇ",
"।"
] | [
"O",
"B-PER",
"B-LOC",
"I-LOC",
"I-LOC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"I-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਮੁੱਖ",
"ਮੰਤਰੀ",
"ਨੇ",
"ਇਹ",
"ਵੀ",
"ਕਿਹਾ",
"ਕਿ",
"ਸਰਕਾਰ",
"ਮ੍ਰਿਤਕਾਂ",
"ਦੇ",
"ਬੱਚਿਆਂ",
"ਦੀ",
"ਪੜ੍ਹਾਈ",
"ਦਾ",
"ਖਿਆਲ",
"ਰੱਖੇਗੀ",
",",
"ਕਿਉਂਕਿ",
"ਉਹ",
"ਇਸ",
"ਮੰਦਭਾਗੀ",
"ਘਟਨਾ",
"ਵਿੱਚ",
"ਆਪਣੇ",
"ਪਰਿਵਾਰਾਂ",
"ਦੇ",
"ਕਮਾਉ",
"ਮੈਂਬਰ",
"ਗੁਆ",
"ਚੁੱਕੇ",
"ਹਨ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"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. | [
"ਕੇਨ",
"ਵਿਲੀਅਮਸਨ",
"(",
"33",
")",
"ਅਤੇ",
"ਮਾਰਟਿਨ",
"ਗੁਪਤਿਲ",
"ਨੇ",
"ਦੂਸਰੇ",
"ਵਿਕਟ",
"ਲਈ",
"58",
"ਦੌੜਾਂ",
"ਦੀ",
"ਸਾਂਝੇਦਾਰੀ",
"ਕੀਤੀ",
"।"
] | [
"B-PER",
"I-PER",
"O",
"O",
"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. | [
"ਇਸ",
"ਸਬੰਧੀ",
"ਬਹਿਰਾਮਪੁਰ",
"ਪੁਲੀਸ",
"ਥਾਣੇ",
"ਵਿਚ",
"ਸ਼ਿਕਾਇਤ",
"ਕਰ",
"ਦਿੱਤੀ",
"ਗਈ",
"ਹੈ",
"।"
] | [
"O",
"O",
"B-LOC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |