instructions
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sequencelengths 1
100
| output
sequencelengths 1
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. | [
"'",
"ਸੱਤਾਧਿਰ",
"ਗਠਜੋੜ",
"ਦੇ",
"13",
"ਵਿਧਾਇਕਾਂ",
"ਦੇ",
"ਅਸਤੀਫ਼ਿਆਂ",
"ਬਾਅਦ",
"ਕਰਨਾਟਕ",
"ਵਿਚ",
"ਸੰਕਟ",
"ਪੈਦਾ",
"ਹੋ",
"ਗਿਆ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-LOC",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਸਰਕਾਰੀ",
"ਸੂਰ",
"ਬੀਡਿੰਗ",
"ਫਾਰਮ",
",",
"ਨਾਭਾ",
"ਦਾ",
"ਨਵੀਨੀਕਰਨ",
"ਅਤੇ",
"ਮਜ਼ਬੂਤੀਕਰਨ",
"ਕੀਤਾ",
"ਗਿਆ",
"ਹੈ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"B-LOC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਇਸੇ",
"ਤਰ੍ਹਾਂ",
",",
"ਅੱਜ",
"ਯਹੋਵਾਹ",
"ਦੇ",
"ਗਵਾਹ",
"ਨਾ",
"ਕੇਵਲ",
"ਈਸਾਈ",
"ਕਹਿਲਾਉਣ",
"ਵਾਲਿਆਂ",
"ਨੂੰ",
",",
"ਪਰ",
"ਸਾਰਿਆਂ",
"ਲੋਕਾਂ",
"ਨੂੰ",
",",
"ਇੱਥੋਂ",
"ਤਕ",
"ਕਿ",
"\"",
"ਧਰਤੀ",
"ਦੇ",
"ਬੰਨੇ",
"ਤੀਕੁਰ",
"\"",
"ਵੀ",
"ਪ੍ਰਚਾਰ",
"ਕਰਨ",
"ਵਿਚ",
"ਸਖ਼ਤ",
"ਮਿਹਨਤ",
"ਕਰਦੇ",
"ਹਨ",
"।",
"-",
"ਰਸੂਲਾਂ",
"ਦੇ",
"ਕਰਤੱਬ",
"1:8.18:5",
"."
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"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. | [
"ਮੁੱਖ",
"ਮੰਤਰੀ",
"ਨੂੰ",
"ਸ੍ਰੀ",
"ਦਰਬਾਰ",
"ਸਾਹਿਬ",
"ਡੇਰਾ",
"ਬਾਬਾ",
"ਨਾਨਕ",
"ਦੇ",
"ਮੈਨੇਜਰ",
"ਹਰਵਿੰਦਰ",
"ਸਿੰਘ",
",",
"ਸ੍ਰੋਮਣੀ",
"ਗੁਰਦੁਆਰਾ",
"ਪ੍ਰਬੰਧਕ",
"ਕਮੇਟੀ",
"ਦੀ",
"ਕਾਰਜਕਾਰੀ",
"ਕਮੇਟੀ",
"ਦੇ",
"ਮੈਂਬਰ",
"ਅਮਰੀਕ",
"ਸਿੰਘ",
"ਸਾਹਪੁਰ",
"ਅਤੇ",
"ਐਸ",
".",
"ਜੀ",
".",
"ਪੀ",
".",
"ਸੀ",
".",
"ਮੈਂਬਰ",
"ਜੋਗਿੰਦਰ",
"ਕੌਰ",
"ਵੱਲੋਂ",
"ਸਿਰੋਪਾਓ",
"ਬਖਸਸਿ",
"ਕੀਤਾ",
"ਗਿਆ",
"।"
] | [
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"I-PER",
"I-PER",
"I-PER",
"I-PER",
"I-PER",
"I-PER",
"I-PER",
"O",
"B-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"O",
"O",
"B-PER",
"I-PER",
"I-PER",
"O",
"B-ORG",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"O",
"B-PER",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਪ੍ਰਧਾਨ",
"ਮੰਤਰੀ",
"ਸ੍ਰੀ",
"ਨਰਿੰਦਰ",
"ਮੋਦੀ",
"ਵੱਲੋਂ",
"ਨਿਯੁਕਤ",
"ਅਤੇ",
"ਰਾਸ਼ਟਰੀ",
"ਸੁਰੱਖਿਆ",
"ਸਲਾਹਕਾਰ",
"ਅਜੀਤ",
"ਡੋਵਾਲ",
"ਦੀ",
"ਪ੍ਰਧਾਨਗੀ",
"ਹੇਠ",
"ਫ਼ੈਸਲੇ",
"ਲਾਗੂ",
"ਕਰਨ",
"ਵਾਲੀ",
"ਕਮੇਟੀ",
"ਨ",
"ਹਾਲੇ",
"CDS",
"ਲਈ",
"ਚਾਰਟਰ",
"ਪਰਿਭਾਸ਼ਿਤ",
"ਕਰਨਾ",
"ਹੈ",
"।"
] | [
"O",
"O",
"O",
"O",
"B-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-ORG",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਭਾਰਤ",
"ਦੀ",
"ਮਾਨਯੋਗ",
"ਸੁਪਰੀਮ",
"ਕੋਰਟ"
] | [
"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. | [
"ਇਸ",
"ਬੱਚੇ",
"ਦੀ",
"ਸ਼ਨਾਖਤ",
"ਹਰਮਨ",
"ਸਿੰਘ",
"(",
"4",
")",
"ਵਾਸੀ",
"ਬਾਬਾ",
"ਦਰਸ਼ਨ",
"ਸਿੰਘ",
"ਕਲੋਨੀ",
"ਵਜੋਂ",
"ਹੋਈ",
"ਹੈ",
"।"
] | [
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"O",
"O",
"O",
"O",
"B-LOC",
"I-LOC",
"I-LOC",
"I-LOC",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਸੇਕਰਡ",
"ਹਾਰਟ",
"ਸਕੂਲ",
"ਦੀ",
"ਵਿਦਿਆਰਥਣ",
"ਤੇਸ਼ਾਲੀ",
"ਮਿੱਤਲ",
"ਿਜਸ",
"ਨੇ",
"ਨਾਨ",
"-",
"ਮੈਡੀਕਲ",
"ਵਿੱਚ",
"96.55",
"%",
"ਅੰਕ",
"ਪ੍ਰਾਪਤ",
"ਕੀਤੇ",
"।"
] | [
"B-ORG",
"I-ORG",
"O",
"O",
"O",
"B-PER",
"I-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the 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",
"ਜਿਲ੍ਹੇ",
"ਦਾ",
"ਹੈਡਕੁਆਰਟਰ",
"ਹੈ",
"ਨਿਜਾਮਾਬਾਦ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"B-LOC",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the 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",
"ਵਿਦੇਸ਼",
"ਮੰਤਰੀ",
"ਨੇ",
"ਇਸ",
"ਗੱਲ",
"ਨੂੰ",
"ਮੰਨਿਆ",
"ਹੈ",
"ਕਿ",
"ਅੱਤਵਾਦੀ",
"ਸੰਗਠਨ",
"ਜੈਸ਼",
"ਏ",
"ਮੁਹੰਮਦ",
"ਦੇ",
"ਸਰਗਨਾ",
"ਮਸੂਦ",
"ਅਜਹਰ",
"ਪਾਕਿਸਤਾਨ",
"ਵਿਚ",
"ਹੈ",
"।"
] | [
"B-LOC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-ORG",
"I-ORG",
"I-ORG",
"O",
"O",
"B-PER",
"O",
"B-LOC",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਉਨ•ਾਂ",
"ਕਿਹਾ",
"ਕਿ",
"ਕਰਫਿਊ",
"ਅਤੇ",
"ਲਾਕਡਾਊਨ",
"ਦੇ",
"ਇਸ",
"ਸਮੇਂ",
"ਦੌਰਾਨ",
",",
"ਸਰਕਾਰ",
"ਨੇ",
"ਨਸ਼ਿਆਂ",
"ਦੀ",
"ਆਦਤ",
"ਤੋਂ",
"ਪੀੜਤ",
"ਮਰੀਜ਼ਾਂ",
"ਦੇ",
"ਇਲਾਜ",
"ਅਤੇ",
"ਦੇਖਭਾਲ",
"ਲਈ",
"ਵਿਸ਼ੇਸ਼",
"ਪਹਿਲਕਦਮੀਆਂ",
"ਕੀਤੀਆਂ",
"ਹਨ",
"ਤਾਂ",
"ਜੋ",
"ਵੱਧ",
"ਤੋਂ",
"ਵੱਧ",
"ਨੋਜੁਆਨ",
"ਨਸ਼ਿਆਂ",
"ਦੀ",
"ਆਦਤ",
"ਤੋਂ",
"ਛੁੱਟਕਾਰਾ",
"ਪਾ",
"ਸਕਣ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"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. | [
"ਲਾਇਨਜ਼",
"ਕਲੱਬ",
"ਵਲੋਂ",
"ਅੱਖਾਂ",
"ਦਾ",
"ਮੁਫ਼ਤ",
"ਜਾਂਚ",
"ਕੈਂਪ"
] | [
"B-ORG",
"I-ORG",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"Kamal",
"Naths",
"Nephew",
"Ratul",
"Puri",
"Arrested",
"by",
"Enforcement",
"Directorate",
":",
"ਮੱਧ",
"ਪ੍ਰਦੇਸ਼",
"ਦੇ",
"ਮੁੱਖ",
"ਮੰਤਰੀ",
"ਕਮਲਨਾਥ",
"ਦੇ",
"ਭਾਣਜੇ",
"ਤੇ",
"ਮੋਜ਼ਰ",
"ਬੇਅਰ",
"ਕੰਪਨੀ",
"ਦੇ",
"ਸਾਬਕਾ",
"ਕਾਰਜਕਾਰੀ",
"ਡਾਇਰੈਕਟਰ",
"ਰਤੁਲ",
"ਪੁਰੀ",
"ਨੂੰ",
"ਇਨਫੋਰਸਮੈਂਟ",
"ਡਾਇਰੈਕਟੋਰੇਟ",
"(",
"ਈਡੀ",
")",
"ਨੇ",
"ਗ੍ਰਿਫ਼ਤਾਰ",
"ਕਰ",
"ਲਿਆ",
"ਹੈ",
"।"
] | [
"B-PER",
"I-PER",
"O",
"O",
"O",
"O",
"O",
"B-ORG",
"I-ORG",
"O",
"B-LOC",
"I-LOC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"O",
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਤਰੈਵਨਕੋਰ",
"ਦੇਵਸਵੋਮ",
"ਬੋਰਡ",
"ਅਧੀਨ",
"ਸ਼ਰਧਾਲੂਆਂ",
"ਦੇ",
"ਮੰਦਰਾਂ",
"ਦੇ",
"ਦਰਸ਼ਨਾਂ",
"'",
"ਤੇ",
"ਲਗਾਈ",
"ਗਈ",
"ਪਾਬੰਦੀ",
"30",
"ਜੂਨ",
"ਤੋਂ",
"ਬਾਅਦ",
"ਵੀ",
"ਜਾਰੀ",
"ਰਹੇਗੀ",
"।"
] | [
"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"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਆਪਣੇ",
"ਦੌਰੇ",
"ਦੇ",
"ਅੰਤਿਮ",
"ਪੜਾਅ",
"'",
"ਤੇ",
"ਓਬਾਮਾ",
"ਤੇ",
"ਮਿਸ਼ੇਲ",
"ਕੋਲ",
"ਰਾਸ਼ਟਰਪਤੀ",
"ਦੀ",
"ਦਾਅਵਤ",
"ਦੇ",
"ਮੌਕੇ",
"ਵਾਂਗ",
"ਸੰਤੁਸ਼ਟ",
"ਤੇ",
"ਖੁਸ਼",
"ਦਿੱਸਣ",
"ਲਈ",
"ਕਾਰਨ",
"ਸਨ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-PER",
"O",
"B-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਰੀਓ",
"ਓਲੰਪਿਕ",
"ਦੇ",
"ਕੁਆਟਰ",
"ਫਾਈਨਲ",
"'",
"ਚ",
"ਥਾਂ",
"ਬਣਾਉਣ",
"ਵਾਲੇ",
"ਬੈਡਮਿੰੰਟਨ",
"ਖਿਡਾਰੀ",
"ਕੇ",
".",
"ਸ਼੍ਰੀਕਾਂਤ",
"ਪਿਛਲੇ",
"ਮਹੀਨੇ",
"ਜਪਾਨ",
"ਓਪਨ",
"ਸੁਪਰ",
"ਸੀਰੀਜ਼",
"ਦੌਰਾਨ",
"ਲੱਗੀ",
"ਗਿੱਟੇ",
"ਦੀ",
"ਸੱਟ",
"ਕਾਰਨ",
"ਯੂਰਪੀ",
"ਸਰਕਟ",
"ਤੋਂ",
"ਬਾਹਰ",
"ਹੋ",
"ਗਏ",
"ਹਨ",
"।"
] | [
"B-LOC",
"O",
"O",
"O",
"O",
"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",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਬਨੂੜ",
"ਪੁਲੀਸ",
"ਖ਼ਿਲਾਫ਼",
"ਨਾਅਰੇਬਾਜ਼ੀ"
] | [
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਸੀਆਈਪੀਐੱਸ",
"ਕੋਲ",
"ਪਹਿਲਾਂ",
"ਹੀ",
"ਦੁਨੀਆਭਰ",
"'",
"ਚ",
"ਕਈ",
"ਦੇਸ਼ਾਂ",
"ਦੇ",
"ਹਿੱਸੇਦਾਰ",
"ਹਨ",
"।"
] | [
"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. | [
"ਭਾਰਤੀ",
"ਵਨਡੇ",
"ਕਪਤਾਨ",
"ਮਿਤਾਲੀ",
"ਰਾਜ",
"ਪੰਜਵੇਂ",
"ਸਥਾਨ",
"'",
"ਤੇ",
"ਪਹੁੰਚ",
"ਗਈ",
"ਹੈ",
"।"
] | [
"B-LOC",
"O",
"O",
"B-PER",
"I-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਵਾਈਟ",
"ਲਈ",
"ਸਭਿਆਚਾਰ",
"ਇੱਕ",
"ਸੁਪਰਆਰਗੈਨਿਕ",
"ਹੋਂਦ",
"ਸੀ",
"ਜੋ",
"ਸੂਈ",
"ਜੇਨਰਿਕ",
"ਸੀ",
"ਅਤੇ",
"ਜਿਸਨੂੰ",
"ਆਪਣੇ",
"ਆਪ",
"ਦੇ",
"ਹਵਾਲੇ",
"ਨਾਲ",
"ਸਮਝਿਆ",
"ਜਾ",
"ਸਕਦਾ",
"ਸੀ",
"।"
] | [
"B-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the 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",
"ਗੈਸ",
"ਮਨੁੱਖੀ",
"ਸਿਹਤ",
"ਦੇ",
"ਨਾਲ",
"ਹੀ",
"ਵਾਤਾਵਰਨ",
"ਨੂੰ",
"ਵੀ",
"ਖਾਸਾ",
"ਨੁਕਸਾਨ",
"ਪਹੁੰਚਾਉਂਦੀ",
"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. | [
"ਇਹ",
"ਮਾਮਲਾ",
"ਵੀ",
"ਹਾਈ",
"ਕੋਰਟ",
"ਵਿੱਚ",
"ਵਿਚਾਰ",
"ਅਧੀਨ",
"ਹੈ",
"।"
] | [
"O",
"O",
"O",
"B-ORG",
"I-ORG",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਇਹ",
"ਹਫਤਾਵਾਰ",
"ਕਿਸਤਾਂ",
"ਵਿੱਚ",
"ਲਿਖੀ",
"ਗਈ",
"ਸੀ",
"ਅਤੇ",
"ਉਨ੍ਹਾਂ",
"ਦੇ",
"ਰਸਾਲੇ",
"ਨਵਜੀਵਨ",
"ਵਿੱਚ",
"1925",
"ਤੋਂ",
"1929",
"ਤੱਕ",
"ਛਪੀ",
"ਸੀ",
"।"
] | [
"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. | [
"ਨਾਜਾਇਜ਼",
"ਸ਼ਰਾਬ",
"ਨਾਲ",
"ਔਰਤ",
"ਸਮੇਤ",
"2",
"ਕਾਬੂ"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਯਾਂਗ",
"ਦਕਾਈ",
",",
"ਜੋ",
"ਉੱਤਰ",
"ਪੱਛਮੀ",
"ਚੀਨ",
"ਦੇ",
"ਸ਼ਾਨਸ਼ੀ",
"ਸੂਬੇ",
"ਵਿਚ",
"ਉੱਚ",
"ਅਹੁਦੇ",
"'",
"ਤੇ",
"ਤਾਇਨਾਤ",
"ਸੀ",
",",
"ਨੂੰ",
"ਰਿਸ਼ਵਤ",
"ਲੈਣ",
"ਤੇ",
"ਉਸ",
"ਕੋਲ",
"ਵੱਡੀ",
"ਪੱਧਰ",
"'",
"ਤੇ",
"ਬੇਹਿਸਾਬੀ",
"ਸੰਪਤੀ",
"ਹੋਣ",
"ਦੇ",
"ਦੋਸ਼",
"ਵਿਚ",
"ਸ਼ੀਆਨ",
"ਪੀਪਲਜ਼",
"ਅਦਾਲਤ",
"ਨੇ",
"ਇਹ",
"ਸਜ਼ਾ",
"ਸੁਣਾਈ",
"।"
] | [
"B-PER",
"I-PER",
"O",
"O",
"O",
"O",
"B-LOC",
"O",
"B-LOC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਇਸ",
"ਵਿੱਚ",
"ਘੱਟੋ",
"ਘੱਟ",
"ਸਮਰਥਨ",
"ਮੁੱਲ",
"ਅਤੇ",
"ਐੱਮਐੱਸਪੀ",
"ਲਈ",
"ਮੁੱਲ",
"ਲੜੀ",
"ਦੇ",
"ਵਿਕਾਸ",
"ਰਾਹੀਂ",
"ਲਘੂ",
"ਵਣ",
"ਉਤਪਾਦਾਂ",
"ਦੀ",
"ਮਾਰਕੀਟਿੰਗ",
"ਲਈ",
"ਇੱਕ",
"ਤੰਤਰ",
"ਦੀ",
"ਕਲਪਨਾ",
"ਕੀਤੀ",
"ਗਈ",
"ਹੈ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-ORG",
"O",
"O",
"O",
"O",
"O",
"O",
"B-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. | [
"ਬਹੁਜਨ",
"ਸਮਾਜ",
"ਪਾਰਟੀ",
"ਦੀ",
"ਸੁਪਰੀਮੋ",
"ਮਾਇਆਵਤੀ",
"ਨੇ",
"ਆਰਐਸਐਸ",
"ਮੁਖੀ",
"ਮੋਹਨ",
"ਭਾਗਵਤ",
"ਵੱਲ",
"ਨਿਸ਼ਾਨਾ",
"ਸੇਧਦਿਆਂ",
"ਕਿਹਾ",
"ਕਿ",
"ਸੰਘ",
"ਮੁਖੀ",
"ਵੱਲੋੋਂ",
"ਫ਼ੌਜ",
"ਤੇ",
"ਸੰਘ",
"ਵਿਚਾਲੇ",
"ਤੁਲਨਾ",
"ਕੀਤੇ",
"ਜਾਣਾ",
"'",
"ਅਪਮਾਨਜਨਕ",
"ਤੇ",
"ਪ੍ਰੇਸ਼ਾਨ",
"ਕਰਨ",
"ਵਾਲਾ",
"'",
"ਹੈ",
"।"
] | [
"B-ORG",
"I-ORG",
"I-ORG",
"O",
"O",
"B-PER",
"O",
"B-ORG",
"O",
"B-PER",
"I-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-ORG",
"O",
"B-ORG",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਉੱਤਰ",
"ਪ੍ਰਦੇਸ਼",
"ਰਾਜ",
"ਬਿਜਲੀ",
"ਬੋਰਡ"
] | [
"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. | [
"ਪਿ੍ਯਕਾ",
"ਸ਼ਰਮਾ",
",",
"ਪ੍ਰੋ",
"."
] | [
"B-PER",
"I-PER",
"O",
"B-LOC",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the 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",
"ਪੁਲਿਸ",
"ਨੂੰ",
"ਸੂੰਚਿਤ",
"ਕਰ",
"ਦਿੱਤਾ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"'",
"ਮੰਤਰਾਲੇ",
"ਨੇ",
"ਇਹ",
"ਵੀ",
"ਕਿਹਾ",
"ਕਿ",
"ਰਿਪੋਰਟ",
"'",
"ਪੂਰੀ",
"ਤਰ੍ਹਾਂ",
"ਪੱਖਪਾਤੀ",
"'",
"ਸੀ",
"ਤੇ",
"ਇਹ",
"'",
"ਝੂਠਾ",
"ਕਥਾਨਕ",
"'",
"ਸਿਰਜਣਾ",
"ਚਾਹੁੰਦੀ",
"ਹੈ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the 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",
"ਦੇ",
"ਚਾਰ",
"ਸਿਖਰਲੇ",
"ਸਿੰਗਲਜ਼",
"ਖਿਡਾਰੀਆਂ",
"ਸੋਮਦੇਵ",
"ਦੇਵਵਰਮਨ",
",",
"ਯੂਕੀ",
"ਭਾਂਬਰੀ",
",",
"ਸਾਕੇਤ",
"ਮਾਈਨੇਨ",
"ਤੇ",
"ਰਾਮ",
"ਕੁਮਾਰ",
"ਰਾਮਨਾਥਨ",
"ਨੇ",
"ਏਆਈਟੀਏ",
"ਤੋਂ",
"ਅਪੀਲ",
"ਕੀਤੀ",
"ਹੈ",
"ਕਿ",
"ਅੰਮ੍ਰਿਤਰਾਜ",
"ਤੇ",
"ਜੀਸ਼ਾਨ",
"ਦੋਵਾਂ",
"ਨੂੰ",
"ਬਰਕਰਾਰ",
"ਰੱਖਿਆ",
"ਜਾਵੇ",
"ਕਿਉਂਕਿ",
"ਟੀਮ",
"ਨੇ",
"ਉਸ",
"ਦੇ",
"ਮਾਰਗ",
"ਦਰਸ਼ਨ",
"ਵਿੱਚ",
"ਚੰਗੇ",
"ਨਤੀਜੇ",
"ਦਿੱਤੇ",
"ਹਨ",
"।"
] | [
"B-LOC",
"O",
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"O",
"B-PER",
"I-PER",
"O",
"B-PER",
"I-PER",
"O",
"B-PER",
"I-PER",
"I-PER",
"O",
"B-ORG",
"O",
"O",
"O",
"O",
"O",
"B-PER",
"O",
"B-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਸ੍ਰੀ",
"ਗੁਰੂ",
"ਗ੍ਰੰਥ",
"ਸਾਹਿਬ",
"ਦਾ",
"ਪ੍ਰਕਾਸ਼",
"ਦਿਹਾੜਾ",
"ਮਨਾਇਆ"
] | [
"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. | [
"ਦੂਜੀ",
"ਦੋ",
"ਲਾਇਬ੍ਰੇਰੀ",
"ਪ੍ਰਣਾਲੀਆਂ",
"ਬਰੁਕਲਿਨ",
"ਪਬਲਿਕ",
"ਲਾਇਬ੍ਰੇਰੀ",
"ਅਤੇ",
"ਕਵੀਨਜ਼",
"ਲਾਇਬ੍ਰੇਰੀ",
"ਹਨ",
"।"
] | [
"O",
"O",
"O",
"O",
"B-ORG",
"I-ORG",
"I-ORG",
"O",
"B-ORG",
"I-ORG",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the 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",
"ਰਾਧੇ",
"ਵਿੱਚ",
"ਇੱਕ",
"ਵਾਰ",
"ਫਿਰ",
"ਤੋਂ",
"ਸਲਮਾਨ",
"ਇੱਕ",
"ਪੁਲਿਸ",
"ਅਫਸਰ",
"ਦੇ",
"ਕਿਰਦਾਰ",
"ਵਿੱਚ",
"ਨਜ਼ਰ",
"ਆਉਣਗੇ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"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. | [
"ਬੀਤੇ",
"ਦਿਨ",
"ਜਦੋਂ",
"ਕਰਾਚੀ",
"ਵਿਚਲੀ",
"ਫੈਕਟਰੀ",
"'",
"ਚ",
"ਅੱਗ",
"ਦੂਜੀ",
"ਤੇ",
"ਤੀਜੀ",
"ਮੰਜ਼ਲ",
"'",
"ਤੇ",
"ਪੁੱਜੀ",
"ਤਾਂ",
"ਕਈ",
"ਵਰਕਰਾਂ",
"ਨੇ",
"ਖਿੜਕੀਆਂ",
"ਤੋਂ",
"ਛਾਲ",
"ਮਾਰ",
"ਦਿੱਤੀ",
"।"
] | [
"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"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the 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",
"ਮੁਕਾਬਲੇ",
"ਦੌਰਾਨ",
"ਲਿਆ",
"ਜਾਣ",
"ਵਾਲਾ",
"ਟੈਸਟ",
"ਸੀ",
"ਤੇ",
"ਪਿਛਲੇ",
"ਮਹੀਨੇ",
"ਹੈਦਰਾਬਾਦ",
"'",
"ਚ",
"ਰਾਸ਼ਟਰੀ",
"ਯੂਥ",
"ਚੈਂਪੀਅਨਸ਼ਿਪ",
"ਦੌਰਾਨ",
"ਲਿਆ",
"ਗਿਆ",
"ਸੀ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-LOC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਇਹ",
"ਪ੍ਰੀਖਿਆ",
"12",
"ਅਕਤੂਬਰ",
"ਤੋਂ",
"ਸ਼ੁਰੂ",
"ਹੋਵੇਗੀ",
"।"
] | [
"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. | [
"ਈਗਲ",
"ਹਾਰਬਰ"
] | [
"B-LOC",
"I-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. | [
"ਮੁੱਖ",
"ਮੰਤਰੀ",
"ਨੇ",
"ਕਿਹਾ",
"ਕਿ",
"ਕੈਬਿਨੇਟ",
"ਮੰਤਰੀ",
"ਸੁਖਜਿੰਦਰ",
"ਸਿੰਘ",
"ਰੰਧਾਵਾ",
"ਦੀ",
"ਅਗਵਾਈ",
"ਵਾਲੇ",
"ਵਫ਼ਦ",
"ਤੋਂ",
"ਉਨਾਂ",
"ਨੂੰ",
"ਰਿਪੋਰਟਾਂ",
"ਪ੍ਰਾਪਤ",
"ਹੋਈਆਂ",
"ਹਨ",
"ਅਤੇ",
"ਉਨਾਂ",
"ਕਿਹਾ",
"ਹੈ",
"ਕਿ",
"ਸ਼ਿਲਾਂਗ",
"ਵਿੱਚ",
"ਕਿਸੇ",
"ਵੀ",
"ਗੁਰਦੁਆਰੇ",
"ਨੂੰ",
"ਨੁਕਸਾਨ",
"ਨਹੀਂ",
"ਹੋਇਆ",
"।"
] | [
"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",
"B-LOC",
"O",
"O",
"O",
"B-LOC",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਲੇਈ",
"ਨੋ",
"ਨੇ",
"ਹੇਮੈਂਲਿਨਗਾ",
"ਗ੍ਰਾਮਰ",
"ਸਕੂਲ",
"ਤੋਂ",
"ਗ੍ਰੈਜੂਏਸ਼ਨ",
"ਕੀਤੀ",
"ਅਤੇ",
"ਹੇਲਸਿੰਕੀ",
"ਵਿੱਚ",
"ਯੂਨੀਵਰਸਿਟੀ",
"ਵਿੱਚ",
"ਪੜ੍ਹਨਾ",
"ਸ਼ੁਰੂ",
"ਕੀਤਾ",
"।"
] | [
"B-PER",
"O",
"O",
"B-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"B-ORG",
"I-ORG",
"I-ORG",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਫ਼ਿਲਮ",
"ਦਾ",
"ਸੰਗੀਤ",
"ਕਲਿਆਣ",
"ਜੀ",
"ਆਨੰਦ",
"ਜੀ",
"ਨੇ",
"ਤਿਆਰ",
"ਕੀਤਾ",
"ਸੀ",
"।"
] | [
"O",
"O",
"O",
"B-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. | [
"ਹਿਲੇਰੀ",
"ਕਲਿੰਟਨ",
"ਅੰਬਾਨੀ",
"ਦੀ",
"ਧੀ",
"ਦੇ",
"ਵਿਆਹ",
"'",
"ਚ",
"ਉਦੈਪੁਰ",
"ਪਹੁੰਚੀ"
] | [
"B-PER",
"I-PER",
"B-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"B-LOC",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਕਿਸੇ",
"ਵੀ",
"ਧਰਮ",
"ਦੇ",
"ਭਾਰਤੀ",
"ਨਾਗਰਿਕ",
"ਨੂੰ",
"CAA",
"ਜਾਂ",
"NRC",
"ਬਾਰੇ",
"ਫਿਕਰ",
"ਕਰਨ",
"ਦੀ",
"ਜ਼ਰੂਰਤ",
"ਨਹੀਂ",
"ਹੈ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-ORG",
"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. | [
"ਪਹਿਲਾਂ",
"ਪੰਜਾਬ",
"ਸਰਕਾਰ",
"ਨੇ",
"ਇਸ",
"ਮਾਮਲੇ",
"ਦੀ",
"ਜਾਂਚ",
"ਸੀਬੀਆਈ",
"ਨੂੰ",
"ਦਿੱਤੀ",
"ਸੀ",
"।"
] | [
"O",
"B-LOC",
"O",
"O",
"O",
"O",
"O",
"O",
"B-ORG",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਆਹ",
"ਹੈ",
"ਅਕਸ਼ੈ",
"ਕੁਮਾਰ",
"।"
] | [
"O",
"O",
"B-PER",
"I-PER",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਚੀਨ",
"ਦੀ",
"ਮਹਾਨ",
"ਦਿਵਾਰ"
] | [
"B-LOC",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਕਾਂਗਰਸ",
"ਨੇਤਾ",
"ਰਾਹੁਲ",
"ਗਾਂਧੀ",
"ਨੇ",
"ਵੀ",
"ਮੁੱਖ",
"ਮੰਤਰੀ",
"ਨੂੰ",
"ਜਨਮ",
"ਦਿਨ",
"ਦੀ",
"ਵਧਾਈ",
"ਦਿੱਤੀ",
"ਹੈ",
"।"
] | [
"B-ORG",
"O",
"B-PER",
"I-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਫੇਸਬੁੱਕ",
"ਇੰਡੀਆ",
"ਦੇ",
"ਉਪ",
"ਪ੍ਰਧਾਨ",
"ਅਤੇ",
"ਪ੍ਰਬੰਧ",
"ਨਿਰਦੇਸ਼ਕ",
"ਅਜੀਤ",
"ਮੋਹਨ",
"ਨੇ",
"ਇਕ",
"ਬਿਆਨ",
"ਜਾਰੀ",
"ਕਰਦਿਆਂ",
"ਕਿਹਾ",
"ਕਿ",
"ਫੇਸਬੁੱਕ",
"ਹਮੇਸ਼ਾਂ",
"ਇਕ",
"ਖੁੱਲਾ",
",",
"ਪਾਰਦਰਸ਼ੀ",
"ਅਤੇ",
"ਨਿਰਪੱਖ",
"ਪਲੇਟਫਾਰਮ",
"ਰਿਹਾ",
"ਹੈ",
"ਜਿੱਥੇ",
"ਲੋਕ",
"ਖੁੱਲ੍ਹ",
"ਕੇ",
"ਆਪਣੇ",
"ਆਪ",
"ਨੂੰ",
"ਪ੍ਰਗਟ",
"ਕਰ",
"ਸਕਦੇ",
"ਹਨ",
"।"
] | [
"B-ORG",
"I-ORG",
"O",
"O",
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-ORG",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the 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",
"ਕਾਂਗਰਸ",
"ਦਾ",
"ਮੰਨਣਾ",
"ਹੈ",
"ਕਿ",
"ਸਰਕਾਰੀ",
"ਅਹੁਦਿਆਂ",
"'",
"ਤੇ",
"ਐੱਸਸੀ",
",",
"ਐੱਸਟੀ",
"ਭਾਈਚਾਰੇ",
"ਦੀ",
"ਨਿਯੁਕਤੀ",
"ਸਰਕਾਰਾਂ",
"ਦੇ",
"ਵਿਵੇਕ",
"'",
"ਤੇ",
"ਨਹੀਂ",
"ਹੈ",
"ਬਲਕਿ",
"ਇਹ",
"ਸੰਵਿਧਾਨ",
"ਵੱਲੋਂ",
"ਦਿੱਤਾ",
"ਗਿਆ",
"ਗਿਆ",
"ਮੌਲਿਕ",
"ਅਧਿਕਾਰ",
"ਹੈ",
"।"
] | [
"O",
"O",
"O",
"B-ORG",
"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",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਵੈਬਸਟਰਸ",
"ਨਵੇਂ",
"ਵਿਸ਼ਵ",
"ਕੋਸ਼"
] | [
"B-ORG",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਪੁਲੀਸ",
"ਨੇ",
"ਨਿਰਮਲ",
"ਸਿੰਘ",
",",
"ਗੁਰਬਖਸ਼ੀਸ਼",
"ਸਿੰਘ",
"ਅਤੇ",
"ਪ੍ਰਿਤਪਾਲ",
"ਸਿੰਘ",
"ਖ਼ਿਲਾਫ਼",
"ਵੱਖ",
"ਵੰਖ",
"ਧਾਰਾਵਾਂ",
"ਹੇਠ",
"ਕੇਸ",
"ਦਰਜ",
"ਕੀਤਾ",
"ਹੈ",
"।"
] | [
"O",
"O",
"B-PER",
"I-PER",
"O",
"B-PER",
"I-PER",
"O",
"B-PER",
"I-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਇਹ",
"ਪੰਜਾਬ",
"ਅਤੇ",
"ਹਰਿਆਣਾ",
"ਦੀ",
"ਹੱਦ",
"ਦੇ",
"ਨਜ਼ਦੀਕ",
"ਹੈ",
"।"
] | [
"O",
"B-LOC",
"O",
"B-LOC",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਇਸ",
"ਮੌਕੇ",
"ਕੁਲਵਿੰਦਰ",
"ਸਿੰਘ",
",",
"ਦਵਿੰਦਰ",
"ਸਿੰਘ",
",",
"ਸਲਵਿੰਦਰ",
"ਜੱਸੀ",
",",
"ਸਤਵੰਤ",
"ਤੂਰਾ",
",",
"ਮਲਕੀਤ",
"ਸਿੰਘ",
"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",
"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. | [
"ਪ੍ਰਧਾਨਮੰਤਰੀ",
"ਮੋਦੀ",
"ਨੇ",
"ਸਵੇਰੇ",
"ਕਲੈਕਟਰੇਟ",
"ਭਵਨ",
"ਪਹੁੰਚ",
"ਕੇ",
"ਆਪਣਾ",
"ਨਾਮਜ਼ਦਗੀ",
"ਪੱਤਰ",
"ਪੇਸ਼",
"ਕੀਤਾ",
"।"
] | [
"O",
"B-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਹੈਰਾਨੀ",
"ਦੀ",
"ਗੱਲ",
"ਇਹ",
"ਹੈ",
"ਕਿ",
"ਸਿਰਫ",
"ਲੁਧਿਆਣਾ",
"ਜ਼ਿਲੇ",
"ਵਿੱਚੋਂ",
"1150",
"ਕਿਲੋ",
"ਪਲਾਸਟਿਕ",
"ਕੈਰੀ",
"ਬੈਗ",
"ਜ਼ਬਤ",
"ਕੀਤੇ",
"ਗਏ",
"।"
] | [
"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. | [
"ਵਿੰਡੋ",
"ਰੋਲਃ"
] | [
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the 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",
"ਦੇ",
"ਸਟਾਰ",
"ਡਬਲਜ਼",
"ਖਿਡਾਰੀਆਂ",
"ਲਿਏਂਡਰ",
"ਪੇਸ",
"ਤੇ",
"ਰੋਹਨ",
"ਬੋਪੰਨਾ",
"ਨੇ",
"ਅਗਲੇ",
"ਹਫ਼ਤੇ",
"ਹੋਣ",
"ਵਾਲੇ",
"ਆਸਟਰੇਲਿਆਈ",
"ਓਪਨ",
"ਲਈ",
"ਸ਼ੁਭ",
"ਸੰਕੇਤ",
"ਦਿੰਦਿਆਂ",
"ਆਪੋ",
"-",
"ਆਪਣੇ",
"ਸਾਥੀ",
"ਖਿਡਾਰੀਆਂ",
"ਨਾਲ",
"ਆਕਲੈਂਡ",
"ਤੇ",
"ਸਿਡਨੀ",
"ਵਿੱਚ",
"ਏ",
"ਟੀ",
"ਪੀ",
"ਟੈਨਿਸ",
"ਡਬਲਜ਼",
"ਦੇ",
"ਖ਼ਿਤਾਬ",
"ਜਿੱਤ",
"ਲਏ",
"ਹਨ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"O",
"B-PER",
"I-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-LOC",
"O",
"B-LOC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਦਿੱਲੀ",
"ਦੇ",
"ਉਪ",
"ਮੁੱਖ",
"ਮੰਤਰੀ",
"ਮਨੀਸ਼",
"ਸਿਸੋਦੀਆ",
"ਨੇ",
"ਵੀ",
"ਕਿਹਾ",
"ਕਿ",
"ਚੋਣ",
"ਕਮਿਸ਼ਨ",
"ਭਾਜਪਾ",
"ਦੀ",
"ਸੇਵਾ",
"ਕਰਨ",
"ਲੱਗਾ",
"ਹੈ",
"।"
] | [
"B-ORG",
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"B-ORG",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਸ਼ੁਰੂਆਤ",
"ਤੋਂ",
"ਹੀ",
"ਨਜ਼ੀਮਾ",
"ਦਾ",
"ਫਿਲਮਾਂ",
"ਵੱਲ",
"ਕਾਫੀ",
"ਰੁਝਾਣ",
"ਸੀ",
"।"
] | [
"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. | [
"ਕੀ",
"ਪਰਮੇਸ਼ੁਰ",
"ਦਾ",
"ਕੋਈ",
"ਸੰਗਠਨ",
"ਹੈ",
"?"
] | [
"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. | [
"ਉਨ੍ਹਾਂ",
"ਦੇ",
"ਖੇਡ",
"ਮੰਤਰੀ",
"ਮੁਹੰਮਦ",
"ਜ਼ਹਰੀ",
"ਅਗਬਾਰ",
"ਕੱਲ੍ਹ",
"ਉਦਘਾਟਨੀ",
"ਜਸ਼ਨਾਂ",
"'",
"ਚ",
"ਬਠਿੰਡਾ",
"ਮੌਜੂਦ",
"ਸਨ",
"।"
] | [
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"I-PER",
"O",
"O",
"O",
"O",
"O",
"B-LOC",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਮੌਸਮ",
"ਵਿਭਾਗ",
"ਦਾ",
"ਕਹਿਣਾ",
"ਹੈ",
"ਕਿ",
"ਮੌਜੂਦਾ",
"ਤਬਦੀਲੀ",
"ਪੱਛਮੀ",
"ਗੜਬੜੀ",
"ਕਾਰਨ",
"ਆਈ",
"ਹੈ",
"।"
] | [
"B-ORG",
"I-ORG",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਉਹ",
"ਭਾਰਤ",
"ਵਿੱਚ",
"ਐਮਰਜੈਂਸੀ",
"ਦੌਰਾਨ",
"ਅਕਾਲੀ",
"ਦਲ",
"ਦਾ",
"ਪ੍ਰਧਾਨ",
"ਰਿਹਾ",
"ਸੀ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"B-ORG",
"I-ORG",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"\"",
"ਉਨ੍ਹਾਂ",
"ਕਿਹਾ",
",",
"\"",
"\"",
"ਮੁਢਲੀ",
"ਜਾਂਚ",
"ਤੋਂ",
"ਸੰਕੇਤ",
"ਮਿਲਦਾ",
"ਹੈ",
"ਕਿ",
"ਵੈਨ",
"ਦੀ",
"ਹਾਲਤ",
"ਨਿੰਦਾਯੋਗ",
"ਸੀ",
"ਅਤੇ",
"ਜ਼ਿਲ੍ਹਾ",
"ਟਰਾਂਸਪੋਰਟ",
"ਅਫ਼ਸਰ",
"(",
"ਡੀਟੀਓ",
")",
"ਦੀ",
"ਰਿਪੋਰਟ",
"ਅਨੁਸਾਰ",
"ਗ਼ੈਰਕਾਨੂੰਨੀ",
"ਢੰਗ",
"ਨਾਲ",
"ਚਲਾਇਆ",
"ਜਾ",
"ਰਿਹਾ",
"ਸੀ",
"।",
"\""
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-ORG",
"I-ORG",
"I-ORG",
"O",
"B-ORG",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਤਾਮਿਲਨਾਡੂ",
",",
"ਕਰਨਾਟਕ",
",",
"ਪੰਜਾਬ",
",",
"ਤੇਲੰਗਾਨਾ",
",",
"ਉੱਤਰ",
"ਪ੍ਰਦੇਸ਼",
",",
"ਝਾਰਖੰਡ",
",",
"ਬਿਹਾਰ",
"ਅਤੇ",
"ਰਾਜਸਥਾਨ",
"।"
] | [
"B-LOC",
"O",
"B-LOC",
"O",
"B-LOC",
"O",
"O",
"O",
"B-LOC",
"I-LOC",
"O",
"O",
"O",
"B-LOC",
"O",
"B-LOC",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਉਸ",
"ਦੀ",
"ਇੱਕ",
"ਛੋਟੀ",
"ਭੈਣ",
",",
"ਪਿੱਪਾ",
"ਅਤੇ",
"ਇੱਕ",
"ਛੋਟਾ",
"ਭਰਾ",
"ਜੇਮਜ਼",
"ਹੈ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"B-PER",
"O",
"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. | [
"ਮੇਰਾ",
"ਭਵਨ",
"ਏਸ",
"ਵਿੱਚ",
"ਉਸਾਰਿਆ",
"ਜਾਵੇਗਾ",
",",
"ਸੈਨਾਂ",
"ਦੇ",
"ਯਹੋਵਾਹ",
"ਦਾ",
"ਵਾਕ",
"ਹੈ",
"।",
"\""
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-PER",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਬਲੈਂਕ",
"ਜੈਕਸਨਵਿਲੇ",
"ਦੇ",
"ਫਲੋਰਿਡਾ",
"ਕਮਿਊਨਿਟੀ",
"ਕਾਲਜ",
"ਵਿੱਚ",
"ਪੜ੍ਹੀ",
",",
"ਜਿੱਥੇ",
"ਉਸਨੇ",
"ਇੱਕ",
"ਟੈਲੀਵੀਜ਼ਨ",
"ਐਂਕਰ",
"ਬਣਨ",
"ਦੀ",
"ਉਮੀਦ",
"ਕਰਦਿਆਂ",
"ਪ੍ਰਸਾਰਣ",
"ਪੱਤਰਕਾਰੀ",
"ਦਾ",
"ਅਧਿਐਨ",
"ਕੀਤਾ",
"।"
] | [
"B-PER",
"O",
"B-LOC",
"I-LOC",
"I-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. | [
"ਹਿਮਾਚਲ",
"ਪ੍ਰਦੇਸ਼ਃ",
"ਰਾਜਪਾਲ",
"ਨੇ",
"ਕਿਹਾ",
"ਹੈ",
"ਕਿ",
"ਮਹਾਮਾਰੀ",
"ਦੇ",
"ਸਮੇਂ",
"ਦੌਰਾਨ",
"ਖੇਤੀ",
"ਸੈਕਟਰ",
"ਵੱਲ",
"ਵਿਸ਼ੇਸ਼",
"ਧਿਆਨ",
"ਦੇਣ",
"ਦੀ",
"ਲੋੜ",
"ਹੈ",
"।"
] | [
"B-LOC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"(",
"ਏ",
"ਪੀ",
"ਫੋਟੋ",
"/",
"ਪੈਟਰਿਕ",
"ਸੇਮੈਨਸਕੀ",
")"
] | [
"O",
"B-ORG",
"I-ORG",
"I-ORG",
"O",
"B-PER",
"I-PER",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਕਈ",
"ਕਿਸਮ",
"ਦੇ",
"ਦਲੀਏ",
"ਦੇ",
"ਆਪਣੇ",
"ਨਾਮ",
"ਹੁੰਦੇ",
"ਹਨ",
",",
"ਜਿਵੇਂ",
"ਕਿ",
"ਪੋਲੇਂਟਾ",
",",
"ਗ੍ਰਿਟਸ",
"ਅਤੇ",
"ਕਾਸ਼ਾ",
"."
] | [
"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",
"ਸੰਕਲਪ",
"ਨੇ",
"ਭਾਰਤ",
"ਨੂੰ",
"ਹੈਰਤਅੰਗੇਜ",
"ਨਤੀਜੇ",
"ਦਿੱਤੇ",
"ਹਨ",
"।"
] | [
"O",
"O",
"O",
"B-LOC",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਭਾਰਤੀ",
"ਅਧਿਕਾਰੀਆਂ",
"ਵੱਲੋਂ",
"ਦਿੱਤੇ",
"ਗਏ",
"ਸਬੂਤਾਂ",
"ਦੇ",
"ਅਧਾਰ",
"'",
"ਤੇ",
"ਇੰਗਲੈਂਡ",
"ਦੀ",
"ਕ੍ਰਾਊਨ",
"ਪ੍ਰੋਸੀਕਿਊਸ਼ਨ",
"ਸਰਵਿਸ",
"ਹਾਲ",
"ਦੀ",
"ਘੜੀ",
"ਉਸ",
"ਦੀ",
"ਹਵਾਲਗੀ",
"ਦੀ",
"ਕਾਰਵਾਈ",
"'",
"ਤੇ",
"ਕੰਮ",
"ਕਰ",
"ਰਹੀ",
"ਹੈ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-ORG",
"I-ORG",
"B-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. | [
"ਇਸ",
"ਸਬੰਧੀ",
"ਥਾਣਾ",
"ਥਰਮਲ",
"ਦੇ",
"ਮੁਖੀ",
"ਸ਼ਿਵ",
"ਚੰਦ",
"ਦਾ",
"ਕਹਿਣਾ",
"ਹੈ",
"ਕਿ",
"ਉਨ੍ਹਾਂ",
"ਨੂੰ",
"ਇਸ",
"ਮਾਮਲੇ",
"ਵਿੱਚ",
"ਕੋਈ",
"ਜਾਣਕਾਰੀ",
"ਨਹੀਂ",
"ਹੈ",
"।"
] | [
"O",
"O",
"B-LOC",
"O",
"O",
"O",
"B-PER",
"I-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਗੁੜਗਾਵਾਂ",
"ਦੇ",
"ਪਾਰਸ",
"ਹਸਪਤਾਲ",
"ਦੀ",
"ਕਲੀਨੀਕਲ",
"ਮਨੋਵਿਗਿਆਨੀ",
"ਪ੍ਰੀਤੀ",
"ਸਿੰਘ",
"ਮੁਤਾਬਕ",
",",
"ਇਸ",
"ਲਾਕਡਾਊਨ",
"ਨੇ",
"ਲੋਕਾਂ",
"ਨੂੰ",
"ਜ਼ਰੂਰਤ",
"ਅਤੇ",
"ਇਛਾਵਾਂ",
"ਦੇ",
"ਵਿਚਾਲੇ",
"ਫ਼ਰਕ",
"ਕਰਨਾ",
"ਸਿਖਾਇਆ",
"ਹੈ",
"ਅਤੇ",
"ਉਨ੍ਹਾਂ",
"ਨੂੰ",
"\"",
"ਅਪਣੀ",
"ਜ਼ਰੂਰਤਾਂ",
"ਨੂੰ",
"ਪਹਿਲ",
"ਦੇਣ",
"\"",
"'",
"ਚ",
"ਮਦਦ",
"ਕੀਤੀ",
"ਹੈ",
"।"
] | [
"B-LOC",
"O",
"B-LOC",
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"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. | [
"'",
"ਦ",
"ਸਕਾਈ",
"ਇਜ਼",
"ਪਿੰਕ",
"'",
"ਨੂੰ",
"ਪ੍ਰਿੰਅਕਾ",
"ਚੋਪੜਾ",
"ਰੋਨੀ",
"ਸਕਰੂਵਾਲਾ",
"ਅਤੇ",
"ਸਿਥਾਰਧ",
"ਰਾਏ",
"ਕਪੂਰ",
"ਨੇ",
"ਮਿਲਕੇ",
"ਪ੍ਰੋਡਿਊਸ",
"ਕਰ",
"ਰਹੇ",
"ਹਨ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-PER",
"O",
"B-PER",
"I-PER",
"O",
"B-PER",
"I-PER",
"I-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਅਕਸ਼ੇ",
"ਕੁਮਾਰ",
"ਦੀ",
"'",
"ਪੈਡਮੈਨ",
"'",
"ਉਸ",
"ਦਿਨ",
"ਹੀ",
"ਰਿਲੀਜ਼",
"ਹੋ",
"ਰਹੀ",
"ਹੈ",
"।"
] | [
"B-PER",
"I-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਜਿਥੋਂ",
"ਤੱਕ",
"ਫਿਲਮ",
"ਦੀ",
"ਰਿਲੀਜ਼",
"ਦਾ",
"ਸਵਾਲ",
"ਹੈ",
",",
"ਅਸੀਂ",
"ਪਹਿਲਾਂ",
"ਫਿਲਮ",
"ਨੂੰ",
"ਭਾਰਤ",
"ਵਿਚ",
"ਰਿਲੀਜ਼",
"ਕਰਾਂਗੇ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-LOC",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਭਾਜਪਾ",
"ਰਾਸ਼ਟਰੀ",
"ਕਾਰਜਕਾਰਨੀ",
"ਦੀ",
"ਬੈਠਕ",
"ਸਮਾਪਤ"
] | [
"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. | [
"ਸੰਜੈ",
"ਕਪੂਰ",
"ਵੀ",
"ਮੌਜੂਦ",
"ਸਨ",
"।"
] | [
"B-PER",
"I-PER",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"315",
"ਕਰੋੜ",
"ਰੁਪਏ",
"-",
"ਪੰਜਾਬ",
"ਖੇਤੀਬਾੜੀ",
"ਯੂਨੀਵਰਸਿਟੀ",
",",
"ਲੁਧਿਆਣਾ",
"ਲਈ",
"।"
] | [
"O",
"O",
"O",
"O",
"B-ORG",
"I-ORG",
"I-ORG",
"O",
"B-LOC",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਟਰੱਕ",
"ਹੇਠ",
"ਆ",
"ਕੇ",
"22",
"ਸਾਲਾ",
"ਔਰਤ",
"ਦੀ",
"ਮੌਤ"
] | [
"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. | [
"ਮੈਨੂੰ",
"ਇਸ",
"ਅਜ਼ੀਮ",
"ਸਦਨ",
"ਨੂੰ",
"ਇਹ",
"ਦੱਸਣ",
"ਵਿਚ",
"ਫ਼ਖਰ",
"ਹੁੰਦਾ",
"ਹੈ",
"ਕਿ",
"ਇੱਕ",
"ਵਾਰ",
"ਫਿਰ",
"ਸੰਕਟ",
"ਦੇ",
"ਸਮੇਂ",
"ਵਿੱਚ",
",",
"ਸਾਡੇ",
"ਰਾਜ",
"ਨੇ",
"ਮੁੜ",
"ਸਾਬਤ",
"ਕੀਤਾ",
"ਹੈ",
"ਕਿ",
"ਪੰਜਾਬ",
"ਇਸ",
"ਦੇਸ਼",
"ਦਾ",
"ਅੰਨਦਾਤਾ",
"ਹੈ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"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. | [
"ਫ਼ਿਲਮ",
"ਵਿਚ",
"ਮਨੋਜ",
"ਵਾਜਪਾਈ",
"ਤੇ",
"ਦਿਲਜੀਤ",
"ਦੋਸਾਂਝ",
"ਦੀ",
"ਵੀ",
"ਅਹਿਮ",
"ਭੂਮਿਕਾ",
"ਹੈ"
] | [
"O",
"O",
"B-PER",
"I-PER",
"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. | [
"ਭਾਰਤ",
"ਚੋਣ",
"ਕਮਿਸ਼ਨ",
"ਨੇ",
"ਮਹਾਰਾਸ਼ਟਰ",
"ਤੇ",
"ਹਰਿਆਣਾ",
"ਸਮੇਤ",
"ਕੁੱਝ",
"ਰਾਜਾਂ",
"ਵਿਚ",
"ਵਿਧਾਨਸਭਾ",
"ਚੋਣਾਂ",
"ਦੀਆਂ",
"ਤਰੀਕਾਂ",
"ਦਾ",
"ਐਲਾਨ",
"ਕਰ",
"ਦਿੱਤਾ",
"ਹੈ",
"।"
] | [
"B-ORG",
"I-ORG",
"I-ORG",
"O",
"B-LOC",
"O",
"B-LOC",
"O",
"O",
"O",
"O",
"B-ORG",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਸੁਪਰੀਮ",
"ਕੋਰਟ",
"ਨੇ",
"ਅੱਜ",
"ਨਿਠਾਰੀ",
"ਬਲਾਤਕਾਰ",
"ਅਤੇ",
"ਹੱਤਿਆ",
"ਕਾਂਡ",
"ਦੇ",
"ਦੋਸ਼ੀ",
"ਸੁਰਿੰਦਰ",
"ਕੋਲੀ",
"ਦੀ",
"ਫਾਂਸੀ",
"ਦੀ",
"ਸਜ਼ਾ",
"'",
"ਤੇ",
"ਲਾਈ",
"ਰੋਕ",
"ਵਿੱਚ",
"29",
"ਅਕਤੂਬਰ",
"ਤੱਕ",
"ਦਾ",
"ਵਾਧਾ",
"ਕੀਤਾ",
"ਹੈ",
"।"
] | [
"B-ORG",
"I-ORG",
"O",
"O",
"B-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the 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",
"ਵਿੱਚ",
"ਆਪਣੇ",
"ਹਮਰੁਤਬਾ",
"ਦੇ",
"ਕਾਰਨਾਂ",
"ਨੂੰ",
"ਪੂਰੀ",
"ਤਰਾਂ",
"ਅਣਉਚਿਤ",
"ਦੱਸਦਿਆਂ",
"ਪੰਜਾਬ",
"ਦੇ",
"ਮੁੱਖ",
"ਮੰਤਰੀ",
"ਨੇ",
"ਪੱਛਿਆ",
",",
"\"",
"ਕੀ",
"ਉਹ",
"(",
"ਕੇਜਰੀਵਾਲ",
")",
"ਸੱਚਮੁੱਚ",
"ਆਈ",
".",
"ਆਈ",
".",
"ਟੀ",
".",
"ਗ੍ਰੇਜੂਏਟ",
"ਹੈ",
"?"
] | [
"B-LOC",
"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",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਪੁਲਿਸ",
"ਨੇ",
"ਨੌਜਵਾਨ",
"ਖਿਲਾਫ",
"ਆਈਪੀਸੀ",
"ਦੀ",
"ਧਾਰਾ",
"376",
"ਦੇ",
"ਤਹਿਤ",
"ਮਾਮਲਾ",
"ਦਰਜ",
"ਕਰ",
"ਲਿਆ",
"ਹੈ",
"।"
] | [
"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. | [
"ਪਿੰਡ",
"ਤੇ",
"ਡਾਕਃ",
"ਘੁਡਾਣੀ",
"ਕਲਾਂ",
",",
"ਲੁਧਿਆਣਾ",
"।"
] | [
"O",
"O",
"O",
"B-LOC",
"I-LOC",
"O",
"B-LOC",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਮਾਈਕ੍ਰੋਵੇਵ",
"ਪ੍ਰੋਜੈਕਟ"
] | [
"B-ORG",
"I-ORG"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਇਨ੍ਹਾਂ",
"ਵਿਚੋਂ",
"80",
"ਸੁਪਰ",
"ਸਪੈਸ਼ਲਿਸਟਾਂ",
"ਦੀ",
"ਭਰਤੀ",
"ਅੰਮ੍ਰਿਤਸਰ",
"ਅਤੇ",
"ਪਟਿਆਲਾ",
"ਵਿਖੇ",
"ਸਰਕਾਰੀ",
"ਮੈਡੀਕਲ",
"ਕਾਲਜਾਂ",
"ਦੇ",
"ਓਨਕੋਲੋਜੀ",
",",
"ਸਰਜੀਕਲ",
"ਓਨਕੋਲੋਜੀ",
",",
"ਨਿਊਕਲਰ",
"ਮੈਡੀਸਿਨ",
",",
"ਰੇਡੀਓ",
"ਥੈਰੈਪੀ",
",",
"ਰੇਡੀਓਲੋਜੀ",
"ਅਤੇ",
"ਇਮੂਨੋ",
"-",
"ਹੈਮਟੌਲੋਜੀ",
"ਅਤੇ",
"ਬਲੱਡ",
"ਟ੍ਰਾਂਸਫਿਊਜ਼ਨ",
"ਵਿਭਾਗਾਂ",
"ਵਿੱਚ",
"ਕੀਤੀ",
"ਜਾਵੇਗੀ",
"ਤਾਂ",
"ਜੋ",
"ਕੈਂਸਰ",
"ਵਰਗੀਆਂ",
"ਮਾਰੂ",
"ਬੀਮਾਰੀਆਂ",
"ਨਾਲ",
"ਪ੍ਰਭਾਵੀ",
"ਤਰੀਕੇ",
"ਨਾਲ",
"ਨਿਪਟਿਆ",
"ਜਾ",
"ਸਕੇ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-LOC",
"O",
"B-ORG",
"I-ORG",
"I-ORG",
"O",
"O",
"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",
"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",
"ਮੈਨੂੰ",
"ਯਕੀਨ",
"ਹੈ",
"ਕਿ",
"ਜਦੋਂ",
"ਅਸੀਂ",
"ਮਿਲ",
"ਕੇ",
"ਗਿਆਨ",
",",
"ਤਕਨਾਲੋਜੀ",
"ਅਤੇ",
"ਵਾਧੇ",
"ਦਾ",
"ਫਲ਼",
"ਸਾਂਝਾ",
"ਕਰਾਂਗੇ",
",",
"ਅਸੀਂ",
"ਆਪਣੇ",
"ਵਿਕਾਸ",
"ਅਤੇ",
"ਖੁਸ਼ਹਾਲੀ",
"ਨੂੰ",
"ਤੇਜ",
"ਕਰਾਂਗੇ",
"।"
] | [
"O",
"O",
"O",
"O",
"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. | [
"ਮੁਜ਼ੱਫਰਨਗਰ",
",",
"6",
"ਸਤੰਬਰ"
] | [
"B-LOC",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਕਾਲਜ",
"ਡੱਬਵਾਲੀ",
"ਰੋਡ",
"'",
"ਤੇ",
"ਬਠਿੰਡਾ",
"ਦੇ",
"ਬਾਹਰਵਾਰ",
"ਸਥਿਤ",
"ਹੈ",
"।"
] | [
"O",
"B-LOC",
"O",
"O",
"O",
"B-LOC",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਇਸਪਾਤ",
"ਦੀ",
"ਵਰਤੋਂ",
"ਦੀ",
"ਉੱਚ",
"ਤੀਬਰਤਾ",
"ਦੇਸ਼",
"ਦੇ",
"ਉੱਚ",
"ਵਿਕਾਸ",
"ਨੂੰ",
"ਦਰਸਾਉਂਦੀ",
"ਹੈ",
",",
"ਖ਼ਾਸ",
"ਕਰਕੇ",
"ਇਮਾਰਤ",
"ਨਿਰਮਾਣ",
"ਅਤੇ",
"ਬੁਨਿਆਦੀ",
"ਢਾਂਚਾ",
"ਵਿਕਾਸ",
"ਜਿਹੇ",
"ਵਿਕਾਸ",
"ਦਰ",
"ਚਲਾਉਣ",
"ਵਾਲੇ",
"ਖੇਤਰਾਂ",
"ਵਿੱਚ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"I-ORG",
"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",
"ਭੁਪਿੰਦਰ",
"ਸਿੰਘ",
"ਨਿਮਾਣਾ",
"ਕੁਲਵਿੰਦਰ",
"ਸਿੰਘ",
"ਚਾਵਲਾ",
",",
"ਸੁਖਵਿੰਦਰ",
"ਸਿੰਘ",
"ਬੱਬੂ",
",",
"ਪੇਮ",
"ਸਾਗਰ",
"ਖੁਰਾਣਾ",
"ਅਤੇ",
"ਹੋਰ",
"ਹਾਜ਼ਰ",
"ਸਨ",
"।"
] | [
"O",
"O",
"B-PER",
"I-PER",
"O",
"B-PER",
"I-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"I-PER",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਦਰਅਸਲ",
",",
"ਪਰਮੇਸ਼ੁਰ",
"ਦੇ",
"ਰਾਜ",
"ਦੀ",
"ਖ਼ੁਸ਼",
"ਖ਼ਬਰੀ",
"ਦਾ",
"\"",
"ਪਰਚਾਰ",
"ਸਾਰੀ",
"ਦੁਨੀਆ",
"ਵਿੱਚ",
"\"",
"ਕੀਤਾ",
"ਜਾ",
"ਰਿਹਾ",
"ਹੈ",
"ਤਾਂਕਿ",
"\"",
"ਸਭ",
"ਕੌਮਾਂ",
"ਉੱਤੇ",
"ਸਾਖੀ",
"ਹੋਵੇ",
"।",
"\""
] | [
"O",
"O",
"B-ORG",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਰੋਹਿਤ",
"ਨੂੰ",
"ਉਸਦੀ",
"ਸ਼ਾਨਦਾਰ",
"ਬੱਲੇਬਾਜ਼ੀ",
"ਲਈ",
"'",
"ਮੈਨ",
"ਆਫ",
"ਦਿ",
"ਮੈਚ",
"'",
"ਐਲਾਨਿਆ",
"ਗਿਆ",
"।"
] | [
"B-PER",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below:
O means the word doesn’t correspond to any entity.
B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity.
B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity.
B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity.
Provide the output as a list of tags corresponding to each input token. | [
"ਉਨ੍ਹਾਂ",
"ਆਖਿਆ",
"ਕਿ",
"ਪ੍ਰਧਾਨ",
"ਮੰਤਰੀ",
"ਨਰਿੰਦਰ",
"ਮੋਦੀ",
"ਦੀ",
"ਅਗਵਾਈ",
"ਵਿੱਚ",
"ਭਾਰਤ",
"ਹਰ",
"ਖੇਤਰ",
"ਵਿੱਚ",
"ਉਸਾਰੂ",
"ਕਦਮ",
"ਪੁੱਟ",
"ਰਿਹਾ",
"ਹੈ",
"।"
] | [
"O",
"O",
"O",
"O",
"O",
"B-PER",
"I-PER",
"O",
"O",
"O",
"B-LOC",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |