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polyglots
/

Punjabi-NER

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train · 464k rows

instructions stringclasses 1 value	input sequencelengths 1 100	output sequencelengths 1 100
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਸਪੇਨ", "ਵਿਚ", "ਇਕ", "ਰੈਫਰੀ", "ਨੇ", "ਇਕ", "ਫੁਟਬਾਲ", "ਮੈਚ", "ਰੋਕ", "ਦਿੱਤਾ", "।" ]	[ "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.	[ "ਇਸ", "ਦਾ", "ਨਿਰਦੇਸ਼ਨ", "ਮੇਘਨਾ", "ਗੁਲਜ਼ਾਰ", "ਨੇ", "ਕੀਤਾ", "ਹੈ", "।" ]	[ "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਮੂਵੀ", "ਬਰਾਊਜ਼ਰ", "ਪਲੱਗਇਨ" ]	[ "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਸ਼੍ਰੀ", "ਸੁਨੀਲ", "ਅਰੋੜਾ", "02", "ਦਸੰਬਰ", ",", "2018", "ਤੋਂ", "ਮੁੱਖ", "ਚੋਣ", "ਕਮਿਸ਼ਨਰ", "ਦੇ", "ਅਹੁਦੇ", "ਦਾ", "ਚਾਰਜ", "ਸੰਭਾਲਣਗੇ", "ਜੋ", "01", "ਦਸੰਬਰ", ",", "2018", "ਨੂੰ", "ਮੁੱਖ", "ਚੋਣ", "ਕਮਿਸ਼ਨਰ", "ਦਾ", "ਅਹੁਦਾ", "ਤਿਆਗਣ", "ਵਾਲੇ", "ਸ਼੍ਰੀ", "ਓਮ", "ਪ੍ਰਕਾਸ਼", "ਰਾਵਤ", "ਦੀ", "ਥਾਂ", "ਲੈਣਗੇ", "।" ]	[ "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", "B-PER", "I-PER", "I-PER", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "'", "ਧੜਕ", "'", "ਨਾਗਰਾਜ", "ਮੁੰਜਲੇ", "ਦੀ", "ਮਰਾਠੀ", "ਫ਼ਿਲਮ", "'", "ਸੈਰਾਟ", "'", "ਦਾ", "ਹਿੰਦੀ", "ਰੀਮੇਕ", "ਹੈ", "।" ]	[ "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਰਾਸ਼ਟਰਪਤੀ", "ਪ੍ਰਣਬ", "ਮੁਖਰਜੀ", "ਨੇ", "ਰਾਸ਼ਟਰਪਤੀ", "ਭਵਨ", "ਦੇ", "ਦਰਬਾਰ", "ਹਾਲ", "'", "ਚ", "ਜਸਟਿਸ", "ਖੇਹਰ", "ਨੂੰ", "ਅਹੁਦਾ", "ਤੇ", "ਸਰਕਾਰੀ", "ਭੇਦ", "ਗੁਪਤ", "ਰੱਖਣ", "ਦੀ", "ਸਹੁੰ", "ਚੁਕਾਈ", "।" ]	[ "O", "B-PER", "I-PER", "O", "B-PER", "O", "O", "B-LOC", "I-LOC", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਇਸ", "ਦੇ", "ਆਯੋਜਨ", "ਸਬੰਧੀ", "ਭਾਰਤ", "ਸਰਕਾਰ", "ਨੇ", "100", "ਕਰੋੜ", "ਰੁਪਏ", "ਦੀ", "ਰਾਸ਼ੀ", "ਰੱਖੀ", "ਹੈ", "।" ]	[ "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਇਸ", "ਦੇ", "ਨਾਲ", "ਹੀ", "ਪੰਜਾਬ", "ਸਰਕਾਰ", "ਦੇ", "ਮੁਲਾਜ਼ਮ", "ਹੁਣ", "5", "ਰਾਖਵੀਆਂ", "ਛੁੱਟੀਆਂ", "ਲੈ", "ਸਕਣਗੇ", ",", "ਜਦੋਂਕਿ", "ਪਹਿਲਾਂ", "ਸਿਰਫ", "2", "ਰਾਖਵੀਆਂ", "ਛੁੱਟੀਆਂ", "ਦੀ", "ਸਹੂਲਤ", "ਸੀ", "।" ]	[ "O", "O", "O", "O", "B-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the 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", "ਸਰਕਾਰ", "ਨੇ", "ਨੈਸ਼ਨਲ", "ਵਾਟਰ", "ਕੁਆਲਿਟੀ", "ਸਬ", "-", "ਮਿਸ਼ਨ", "ਅਧੀਨ", "777", "ਆਰਸੈਨਿਕ", "ਅਤੇ", "ਫਲੋਰਾਈਡ", "ਪ੍ਰਭਾਵਿਤ", "ਆਬਾਦੀਆਂ", "ਨੂੰ", "ਦੀਰਘਕਾਲੀ", "ਸਥਾਈ", "ਉਪਾਅ", "ਅਧੀਨ", "ਕਵਰ", "ਕਰਨ", "ਲਈ", "50", "ਫ਼ੀਸਦ", "ਫੰਡ", "ਮੁਹੱਈਆ", "ਕਰਨ", "ਦੀ", "ਸਹਿਮਤੀ", "ਦੇ", "ਦਿੱਤੀ", "ਹੈ", "।" ]	[ "B-ORG", "I-ORG", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਖੋਖਰ", "ਨੇ", "ਕਿਹਾ", "ਵਿਦੇਸ਼ਾਂ", "ਤੋਂ", "ਆਉਣ", "ਵਾਲੇ", "ਯਾਤਰੀਆਂ", "ਲਈ", "ਪਲਾਸਟਿਕ", "ਬੈਗਾਂ", "'", "ਤੇ", "ਪਾਬੰਦੀ", "ਦੇ", "ਸੰਦੇਸ਼ਾਂ", "ਵਾਲੇ", "ਸਟੈਂਡ", "ਹਵਾਈ", "ਅੱਡਿਆਂ", "'", "ਤੇ", "ਲਗਾਏ", "ਗਏ", "ਹਨ", "।" ]	[ "B-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਏਅਰਟੈਲ", "ਵਾਈ", "-", "ਫਾਈ", "ਕਾਲਿੰਗ", "ਰਾਹੀਂ", "ਕਾਲਾਂ", "ਕਰਨ", "ਲਈ", "ਕੋਈ", "ਵਾਧੂ", "ਖਰਚਾ", "ਨਹੀਂ", "ਹੈ", "." ]	[ "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਨਕਾਰਾਤਮਕ", "ਵਿਆਖਿਆ" ]	[ "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਗੋਆ", "ਨੇ", "ਰਾਜ", "ਵਿਚ", "ਦਾਖਲਾ", "ਪ੍ਰੀਖਿਆਵਾਂ", "ਦੀ", "ਤਿਆਰੀ", "ਕਰਨ", "ਵਾਲੇ", "ਵਿਦਿਆਰਥੀਆਂ", "ਲਈ", "ਸਿਖਲਾਈ", ",", "ਅਭਿਆਸ", "ਅਤੇ", "ਟੈਸਟਿੰਗ", "ਲਈ", "ਬਨਾਉਟੀ", "ਬੁੱਧੀ", "(", "ਆਰਟੀਫਿਸ਼ੀਅਲ", "ਇੰਟੈਲੀਜੈਂਸ", ")", "ਰਾਹੀਂ", "ਸੰਚਾਲਿਤ", "ਔਨਲਾਈਨ", "ਪਲੇਟਫਾਰਮ", "ਐਮਬਾਇਬ", "ਨਾਲ", "ਸਾਂਝੇਦਾਰੀ", "ਕੀਤੀ", "ਹੈ", "।" ]	[ "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "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.	[ "ਇਸ", "ਮੋਕੇ", "ਸ਼ਾਕਿਰ", "ਅਹਿਮਦ", ",", "ਇਖੀਤਆਰ", "ਅਲੀ", ",", "ਮੁਹੰਮਦ", "ਜੁਨੇਦ", ",", "ਮੁਹੰਮਦ", "ਈਰਸ਼ਾਦ", ",", "ਸੁਖਚੈਨ", "ਸਿੰਘ", "ਆਦਿ", "ਮੌਜੂਦ", "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", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਅਸਾਮਃ", "ਜੀਐੱਮਸੀਐੱਚ", ",", "ਗੁਵਾਹਾਟੀ", "ਵਿਖੇ", "ਪਲਾਜ਼ਮਾ", "ਬੈਂਕ", "ਸ਼ੁਰੂ", "ਹੋਇਆ", "ਹੈ", ",", "ਸਭ", "ਤੋਂ", "ਪਹਿਲਾ", "ਦਾਨੀ", "ਡਾ", "." ]	[ "O", "B-ORG", "O", "B-LOC", "O", "B-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਇਹ", "ਪੁੱਛਣ", "'", "ਤੇ", "ਕਿ", "ਮੁੰਬਈ", "ਇੰਡੀਅਨਜ਼", "ਦੀ", "ਕਪਤਾਨੀ", "ਤੋਂ", "ਇਹ", "ਕਿੰਨਾ", "ਵੱਖ", "ਹੋਵੇਗਾ", "ਤਾਂ", "ਰੋਹਿਤ", "ਨੇ", "ਕਿਹਾ", "ਕਿ", "ਇਹ", "ਪੂਰੀ", "ਤਰ੍ਹਾਂ", "ਨਾਲ", "ਵੱਖਰੀ", "ਚੀਜ਼", "ਹੈ", "ਪਰ", "ਕਪਤਾਨੀ", "ਦੀ", "ਪ੍ਰਕਿਰਿਆ", "ਤੇ", "ਬੇਸਿਕਸ", "ਇਕੋ", "ਚਿਹੇ", "ਰਹਿੰਦੇ", "ਹਨ", "।" ]	[ "O", "O", "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਇਹ", "ਫੈਸਲਾ", "ਕੇਂਦਰੀ", "ਮੰਤਰੀ", "ਮੰਡਲ", "ਦੀ", "ਪ੍ਰਧਾਨ", "ਮੰਤਰੀ", "ਨਰਿੰਦਰ", "ਮੋਦੀ", "ਦੀ", "ਪ੍ਰਧਾਨਗੀ", "ਹੇਠ", "ਹੋਈ", "ਮੀਟਿੰਗ", "ਵਿੱਚ", "ਲਿਆ", "ਗਿਆ", "ਹੈ", "।" ]	[ "O", "O", "B-ORG", "I-ORG", "I-ORG", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਅਤੇ", "ਧਾਰਾ", "353,186,148,149", "ਆਈ", ".", "ਪੀ", ".", "ਸੀ", ".", "ਤਹਿਤ", "ਕੇਸ", "ਦਰਜ", "ਕੀਤੇ", "ਹਨ", "।" ]	[ "O", "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.	[ "\"", "ਮਸ਼ਹੂਰ", "ਇਤਿਹਾਸਕਾਰ", "ਰਾਮਚੰਦਰ", "ਗੁਹਾ", "ਨੇ", "ਇਸ", "ਬਿਆਨ", "'", "ਤੇ", "ਟਵੀਟ", "ਕੀਤਾ", ",", "\"", "\"", "ਨਡੇਲਾ", "ਨੇ", "ਜੋ", "ਕਿਹਾ", ",", "ਉਸ", "ਤੋਂ", "ਖੁਸ਼", "ਹਾਂ", "।", "\"" ]	[ "O", "O", "O", "B-PER", "I-PER", "O", "B-PER", "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਉਥੇ", "ਹੀ", "ਰਾਹੁਲ", "ਗਾਂਧੀ", "ਅਮੇਠੀ", "ਤੋਂ", "ਬੀਜੇਪੀ", "ਨੇਤਾ", "ਸਮਰਿਤੀ", "ਈਰਾਨੀ", "ਤੋਂ", "55,120", "ਵੋਟਾਂ", "ਦੇ", "ਫ਼ਰਕ", "ਨਾਲ", "ਚੋਣ", "ਹਾਰ", "ਗਏ", "ਸਨ", "।" ]	[ "O", "O", "B-PER", "I-PER", "B-ORG", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਨਵੀਂ", "ਦਿੱਲੀ", "ਸੰਸਦ", "ਉੱਤੇ", "ਹਮਲੇ", "ਦੇ", "ਦੋਸ਼ੀ", "ਅਫਜਲ", "ਗੁਰੂ", "ਦੇ", "ਬੇਟੇ", "ਗਾਲਿਬ", "ਗੁਰੂ", "ਨੇ", "ਹਾਇਰ", "ਸੈਕੰਡਰੀ", "ਸਕੂਲ", "ਪਰੀਖਿਆ", "ਵਿਸ਼ੇਸ਼", "ਯੋਗਤਾ", "ਦੇ", "ਨਾਲ", "ਪਾਸ", "ਕੀਤੀ", "ਹੈ", "।" ]	[ "O", "B-LOC", "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਆਪਣੇ", "ਜ਼ਿੱਦੀ", "ਲੋਕਾਂ", "ਲਈ", "ਯਹੋਵਾਹ", "ਦਾ", "ਪਿਆਰ" ]	[ "O", "O", "O", "O", "B-ORG", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਰਾਏ", "ਨੂੰ", "ਬਾਰਸੀਲੋਨਾ", "ਦੇ", "ਫੁਟਬਾਲਰ", "ਇਵਾਨ", "ਰਾਕੀਟਿਕ", "ਦੁਆਰਾ", "ਟਿੱਪਣੀਆਂ", "ਬਾਰੇ", "ਪੁੱਛਿਆ", "ਗਿਆ", ",", "ਜਿਸਨੇ", "ਸਪੈਨਿਸ਼", "ਪ੍ਰੈਸ", "ਨੂੰ", "ਦੱਸਿਆ", "ਕਿ", "ਉਹ", "ਵਾਇਰਸ", "ਦੇ", "ਬਾਵਜੂਦ", "ਐਕਸ਼ਨ", "ਵਿਚ", "ਵਾਪਸੀ", "ਦਾ", "ਜੋਖਮ", "ਲੈਣ", "ਲਈ", "ਤਿਆਰ", "ਹੈ", "।" ]	[ "B-PER", "O", "B-ORG", "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" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਪੱਤਰਕਾਰਾਂ", "ਨਾਲ", "ਗੱਲਬਾਤ", "ਕਰਦਿਆਂ", "ਐਸਪੀ", "ਨੇ", "ਕਿਹਾ", "ਕਿ", "ਪੁਲੀਸ", "ਬਾਰੀਕੀ", "ਨਾਲ", "ਮਾਮਲੇ", "ਦੀ", "ਜਾਂਚ", "ਕਰ", "ਰਹੀ", "ਹੈ", "।" ]	[ "O", "O", "O", "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.	[ "ਨਿੰਬੂ", "ਦਾ", "ਰਸ", "-", "1", "ਚਮਚਾ", "ਡਾਇਨਿੰਗ", "." ]	[ "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.	[ "(", "ਅ", ")", "ਇਜ਼ਰਾਈਲੀਆਂ", "ਨੇ", "ਯਾਬੀਨ", "ਦੀ", "ਫ਼ੌਜ", "ਨੂੰ", "ਕਿਵੇਂ", "ਹਰਾਇਆ", "?" ]	[ "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਇਸ", "ਤੋਂ", "ਇਲਾਵਾ", "ਐਨ", ".", "ਐਚ", ".", "ਐਮ", ".", "ਅਧੀਨ", "ਸਪੈਸ਼ਲਿਸਟ", ",", "ਪੈਰਾ", "ਮੈਡੀਕਲ", "ਤੇ", "ਹੋਰ", "ਸਟਾਫ", "ਦੀ", "ਭਰਤੀ", "ਕੀਤੀ", "ਗਈ", "ਹੈ", "।" ]	[ "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਦਿਆਲ", "ਸਿੰਘ", "ਕਾਲਜ", "ਦਾ", "ਨਾਮ", "ਬਦਲਣਾ", "ਸੋਚੀ", "ਸਮਝੀ", "ਚਾਲ" ]	[ "B-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਕਿਨੌਰ", "ਜ਼ਿਲ੍ਹੇ", "ਦਾ", "ਕਲਪਾ", "ਸਭ", "ਤੋਂ", "ਠੰਡਾ", "ਇਲਾਕਾ", "ਸੀ", ",", "ਜਿਸਦਾ", "ਤਾਪਮਾਨ", "ਘਟਾਓ", "1.5", "ਡਿਗਰੀ", "ਸੈਲਸੀਅਸ", "ਸੀ", "।" ]	[ "B-LOC", "O", "O", "B-LOC", "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.	[ "ਮੋਰਿੰਡਾ", "ਪੁਲਿਸ", "ਨੇ", "ਮਾਮਲਾ", "ਦਰਜ", "ਕਰਕੇ", "ਅਗਲੀ", "ਕਾਰਵਾਈ", "ਸ਼ੁਰੂ", "ਕਰ", "ਦਿੱਤੀ", "।" ]	[ "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.	[ "ਯੂਏਈ", "ਦੀ", "ਵਿਦੇਸ਼ੀ", "ਕਰੰਸੀ", "ਅਤੇ", "ਭੁਗਤਾਨ", "ਹੱਲ", "ਕੰਪਨੀ", "ਯੂਏਈ", "ਐਕਸਚੇਂਜ", "ਨੇ", "ਭਾਰਤ", "'", "ਚ", "ਤਾਮਿਲਨਾਡੂ", "ਸੂਬੇ", "ਦੇ", "ਮੁੱਖ", "ਮੰਤਰੀ", "ਰਾਹਤ", "ਫੰਡ", "ਅਤੇ", "ਪ੍ਰਧਾਨ", "ਮੰਤਰੀ", "ਰਾਸ਼ਟਰੀ", "ਰਾਹਤ", "ਫੰਡ", "ਨੂੰ", "ਭੇਜੀ", "ਜਾਣ", "ਵਾਲੀ", "ਰਕਮ", "'", "ਤੇ", "ਡਿਊਟੀ", "ਖਤਮ", "ਕਰ", "ਦਿੱਤੀ", "ਹੈ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "O", "B-LOC", "O", "O", "B-LOC", "I-LOC", "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" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਉਹਨਾਂ", "ਕੋਵਿਡ", "-", "19", "ਮਹਾਂਮਾਰੀ", "ਵਿਰੁੱਧ", "ਨਿਰੰਤਰ", "ਕੰਮ", "ਜਾਰੀ", "ਰੱਖਣ", "ਲਈ", "ਸਾਰੇ", "ਵਿਭਾਗਾਂ", "ਦੇ", "ਯਤਨਾਂ", "ਦੀ", "ਸਲਾਘਾ", "ਵੀ", "ਕੀਤੀ", "।" ]	[ "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.	[ "Inbox", "ਤੋਂ", "ਨਕਲ" ]	[ "B-ORG", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਇਹ", "ਸੂਬੇ", "ਹਨ", "ਮਹਾਰਾਸ਼ਟਰ", ",", "ਤੇਲੰਗਾਨਾ", ",", "ਕਰਨਾਟਕ", ",", "ਮੱਧ", "ਪ੍ਰਦੇਸ਼", ",", "ਆਂਧਰ", "ਪ੍ਰਦੇਸ਼", "ਤੇ", "ਛੱਤੀਸਗੜ", "।" ]	[ "O", "O", "O", "B-LOC", "O", "B-LOC", "O", "O", "O", "B-LOC", "I-LOC", "O", "B-LOC", "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.	[ "ਸੁਰੱਖਿਆ", "ਬਲਾਂ", "ਵੱਲੋਂ", "ਇਲਾਕੇ", "'", "ਚ", "ਸਰਚ", "ਆਪ੍ਰੇਸ਼ਨ", "ਜਾਰੀ", "ਹੈ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਦੁੱਧ", "ਚਾਕਲੇਟ", "-", "200", "ਗ੍ਰਾਮ", "." ]	[ "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "\"", "ਪਰਮੇਸ਼ੁਰ", "ਦੇ", "ਨੇੜੇ", "ਆਓ", "ਅਤੇ", "ਉਹ", "ਤੁਹਾਡੇ", "ਨੇੜੇ", "ਆਵੇਗਾ", "।", "\"", "-", "ਯਾਕੂਬ", "4:8" ]	[ "O", "B-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਸ੍ਰੀ", "ਗੁਰੂ", "ਗ੍ਰੰਥ", "ਸਾਹਿਬ", "ਵਿਸ਼ਵ", "ਯੂਨੀਵਰਸਿਟੀ", "'", "ਚ", "ਚਿੱਤਰਕਲਾ", "ਭਵਨ", "ਸਥਾਪਤ" ]	[ "B-PER", "I-PER", "I-PER", "I-PER", "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.	[ "ਪੰਜਾਬ", "ਦੇ", "ਸੈਰ", "-", "ਸਪਾਟਾ", "ਮੰਤਰੀ", "ਨਵਜੋਤ", "ਸਿੰਘ", "ਸਿੱਧੂ", "ਨੂੰ", "ਪੰਜਾਬ", "ਅਤੇ", "ਹਰਿਆਣਾ", "ਹਾਈ", "ਕੋਰਟ", "ਵੱਲੋਂ", "1988", "ਦੇ", "ਸੜਕੀ", "ਝਗੜੇ", "ਦੇ", "ਕੇਸ", "ਵਿੱਚ", "ਸੁਣਾਈ", "ਗਈ", "ਤਿੰਨ", "ਸਾਲ", "ਕੈਦ", "ਖ਼ਿਲਾਫ਼", "ਅਪੀਲ", "ਉਤੇ", "ਸੁਪਰੀਮ", "ਕੋਰਟ", "ਨੇ", "ਅੱਜ", "ਆਪਣਾ", "ਫ਼ੈਸਲਾ", "ਰਾਖਵਾਂ", "ਰੱਖ", "ਲਿਆ", "।" ]	[ "B-LOC", "O", "O", "O", "O", "O", "B-PER", "I-PER", "I-PER", "O", "B-LOC", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the 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", "ਮੁੱਖ", "ਮਹਿਮਾਨ", "ਸਿੰਜਾਈ", "ਮੰਤਰੀ", "ਸ", "." ]	[ "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.	[ "A", "-", "M", "।", "ਅਰਬੀ", "(", "ਮਿਸਰ", ")" ]	[ "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.	[ "ਪਹਿਲੀ", "ਵਾਰ", "ਖੇਡ", "ਰਹੇ", "ਸੈਣੀ", "'", "ਤੇ", "ਮੈਦਾਨੀ", "ਅੰਪਾਇਰਾਂ", "ਨਾਇਜੈੱਲ", "ਡੁਗੁਈਡ", "ਅਤੇ", "ਜੀ", "ਬਰੈਥਵੇਟ", "ਤੋਂ", "ਇਲਾਵਾ", "ਤੀਜੇ", "ਅੰਪਾਇਰ", "ਲੈਸਲੀ", "ਰੀਫਰ", "ਅਤੇ", "ਚੌਥੇ", "ਅੰਪਾਇਰ", "ਪੈਟਰਿਕ", "ਗਸਟਰਡ", "ਨੇ", "ਦੋਸ਼", "ਲਾਏ", "ਸਨ", "।" ]	[ "O", "O", "O", "O", "B-PER", "O", "O", "O", "O", "B-PER", "I-PER", "O", "B-PER", "I-PER", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਜਿੱਥੇ", "ਭਾਜਪਾ", "ਅਤੇ", "ਟੀਐਮਸੀ", "ਵਰਕਰਾਂ", "ਵਿਚਕਾਰ", "ਹੋਈ", "ਝੜਪ", "ਦੌਰਾਨ", "ਚਾਰ", "ਲੋਕਾਂ", "ਦੀ", "ਮੌਤ", "ਹੋ", "ਗਈ", "ਜਦਕਿ", "ਤਿੰਨ", "ਜ਼ਖ਼ਮੀ", "ਹੋ", "ਗਏ", "ਹਨ", "।" ]	[ "O", "B-ORG", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਅੱਜ", "ਮੈਨੂੰ", "ਇੱਥੇ", "ਯੋਗਾ", "ਬਾਰੇ", "ਇੱਕ", "ਪੁਸਤਕ", "ਰਿਲੀਜ਼", "ਕਰਨ", "ਦਾ", "ਮੌਕਾ", "ਮਿਲਿਆ", "ਹੈ", "ਅਤੇ", "ਉਹ", "ਵੀ", "ਸਾਡੇ", "ਸਰਕਾਰ", "ਦੇ", "ਨਾਲ", "ਹੀ", "ਸ੍ਰੀਮਾਨ", "ਸ਼ਾਹੂ", "ਨੇ", "ਇੱਥੋਂ", "ਦੀ", "ਭਾਸ਼ਾ", "ਵਿੱਚ", "ਯੋਗ", "ਬਾਰੇ", "ਪੁਸਤਕ", "ਦੀ", "ਸਿਰਜਣਾ", "ਕੀਤੀ", "ਹੈ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਰਿਮੋਟ", "ਕੰਟਰੋਲ", "ਮੋਦੀ", "ਦੇ", "ਹੱਥਾਂ", "'", "ਚ", "ਹੈ", "।" ]	[ "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਮਿ੍ਤਕ", "ਦੀ", "ਪਛਾਣ", "ਗਰੀਸ਼", "ਮਨੋਚਾ", "(", "28", ")", "ਵਜੋਂ", "ਹੋਈ", "ਹੈ", "।" ]	[ "O", "O", "O", "B-PER", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਟੁਲੂ", "(", "ਫਰਾਂਸ", ")", ",", "27", "ਜੂਨ" ]	[ "B-ORG", "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.	[ "ਬਿਨਾ", "ਸ਼ੱਕ", "ਰਸਮੀ", "ਤੌਰ", "'", "ਤੇ", "ਨਰਿੰਦਰ", "ਮੋਦੀ", "ਹੀ", "ਸਰਕਾਰ", "ਦੇ", "ਪ੍ਰਮੁੱਖ", "ਹਨ", "ਅਤੇ", "ਉਹੀ", "ਭਾਜਪਾ", "ਪਾਰਲੀਮਾਨੀ", "ਪਾਰਟੀ", "ਦੇ", "ਆਗੂ", "ਹਨ", ",", "ਉਹੀ", "ਸਰਕਾਰ", "ਦਾ", "ਉੱਭਰਵਾਂ", "ਚਿਹਰਾ", "ਅਤੇ", "ਪਾਰਟੀ", "ਦੇ", "ਸਭ", "ਤੋਂ", "ਲੋਕਪ੍ਰਿਯ", "ਆਗੂ", "ਹਨ", ",", "ਸੂਚਨਾ", "ਅਤੇ", "ਪ੍ਰਸਾਰਨ", "ਮੰਤਰਾਲੇ", "ਵੱਲੋਂ", "ਦਿੱਤੇ", "ਜਾਂਦੇ", "ਲੱਖਾਂ", "ਇਸ਼ਤਿਹਾਰਾਂ", "ਉੱਤੇ", "ਸਿਰਫ਼", "ਉਨ੍ਹਾਂ", "ਦੀਆਂ", "ਤਸਵੀਰਾਂ", "ਹੀ", "ਲੱਗੀਆਂ", "ਹੁੰਦੀਆਂ", "ਹਨ", "ਅਤੇ", "ਸਿਰਫ਼", "ਉਹ", "ਹੀ", "ਤਹਿਰਾਨ", "ਅਤੇ", "ਦੁਨੀਆਂ", "ਦੇ", "ਹੋਰ", "ਮੁਲਕਾਂ", "ਦੀਆਂ", "ਰਾਜਧਾਨੀਆਂ", "ਵਿੱਚ", "ਪ੍ਰਧਾਨ", "ਮੰਤਰੀ", "ਵਜੋਂ", "ਦੇਸ਼", "ਦੀ", "ਤਰਜਮਾਨੀ", "ਕਰਦੇ", "ਹਨ", "।" ]	[ "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "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", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "B-LOC", "I-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਕਸ਼ਮੀਰ", "'", "ਚ", "ਤਾਜ਼ਾ", "ਬਰਫ਼ਬਾਰੀ" ]	[ "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.	[ "ਬਠਿੰਡਾ", "ਜੇਲ੍ਹ", "ਨੇ", "ਤਾਂ", "ਥੋੜ੍ਹਾ", "ਸਮਾਂ", "ਪਹਿਲਾਂ", "ਹੀ", "ਬਕਾਏ", "ਕਲੀਅਰ", "ਕੀਤੇ", "ਹਨ", "।" ]	[ "B-LOC", "I-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਸਰਕਾਰੀ", "ਕਾਲਜ", "ਸਟੇਡੀਅਮ", "ਗੁਰਦਾਸਪੁਰ", ",", "ਸਪੋਰਟਸ", "ਸਟੇਡੀਅਮ", "ਆਦਮਪੁਰ", "ਜਲੰਧਰ", ",", "ਸਪੋਰਟਸ", "ਸਟੇਡੀਅਮ", "ਢਰੋਲੀ", "ਭਾਈ", "ਮੋਗਾ", ",", "ਸਪੋਰਟਸ", "ਸਟੇਡੀਅਮ", "ਸਰਾਭਾ", "ਲੁਧਿਆਣਾ", ",", "ਸਪੋਰਟਸ", "ਸਟੇਡੀਅਮ", "ਚੋਹਲਾ", "ਸਾਹਿਬ", "ਤਰਨਤਾਰਨ", ",", "ਕਬੱਡੀ", "ਗਰਾਊਂਡ", "ਭੁਲੱਥ", "ਕਪੂਰਥਲਾ", ",", "ਸਪੋਰਟਸ", "ਸਟੇਡੀਅਮ", "ਬਾਦਲ", "ਸ੍ਰੀ", "ਮੁਕਤਸਰ", "ਸਾਹਿਬ", ",", "ਸਪੋਰਟਸ", "ਸਟੇਡੀਅਮ", "ਅਟਾਰੀ", "ਅੰਮ੍ਰਿਤਸਰ", ",", "ਕਬੱਡੀ", "ਸਟੇਡੀਅਮ", "ਦਿੜਬਾ", "ਸੰਗਰੂਰ", ",", "ਸਪੋਰਟਸ", "ਸਟੇਡੀਅਮ", "ਬਰਨਾਲਾ", "ਅਤੇ", "ਸਪੋਰਟਸ", "ਸਟੇਡੀਅਮ", "ਮਹਿਰਾਜ", "ਬਠਿੰਡਾ", "ਨੂੰ", "ਕਬੱਡੀ", "ਦੇ", "ਹੋਰ", "ਮੈਚ", "ਕਰਵਾਉਣ", "ਲਈ", "ਚੁਣਿਆ", "ਗਿਆ", "ਹੈ", "।" ]	[ "B-ORG", "I-ORG", "O", "B-LOC", "O", "B-LOC", "I-LOC", "B-LOC", "B-LOC", "O", "B-LOC", "I-LOC", "B-LOC", "I-LOC", "B-LOC", "O", "B-LOC", "I-LOC", "B-LOC", "B-LOC", "O", "B-LOC", "I-LOC", "B-LOC", "I-LOC", "B-LOC", "O", "B-LOC", "I-LOC", "B-LOC", "O", "O", "B-LOC", "I-LOC", "B-LOC", "B-LOC", "I-LOC", "I-LOC", "O", "B-LOC", "I-LOC", "I-LOC", "I-LOC", "I-LOC", "I-LOC", "I-LOC", "B-LOC", "O", "O", "B-LOC", "I-LOC", "B-LOC", "O", "B-LOC", "I-LOC", "B-LOC", "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.	[ "ਸਾਨ", "ਮਾਰਕੋਸ", "ਗਿਰਜਾਘਰ", "ਦੱਖਣੀ", "ਸਪੇਨ", "ਵਿੱਚ", "ਖੇਰੇਸ", "ਦਾ", "ਲਾ", "ਫੋਰਨਤੇਰਾ", "ਦਾ", "ਇੱਕ", "ਗੋਥਿਕ", "ਗਿਰਜਾਘਰ", "ਹੈ", "।" ]	[ "B-LOC", "I-LOC", "O", "O", "B-LOC", "O", "B-LOC", "I-LOC", "I-LOC", "I-LOC", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਮੁੱਖ", "ਮੰਤਰੀ", "ਕੈਪਟਨ", "ਅਮਰਿੰਦਰ", "ਸਿੰਘ", "ਨੇ", "ਹਮਲੇ", "ਦੀ", "ਜਾਂਚ", "ਦੇ", "ਹੁਕਮ", "ਦਿੱਤੇ", "ਹਨ", "ਤੇ", "ਸਾਰੇ", "ਭਾਈਚਾਰਿਆਂ", "ਨੂੰ", "ਸ਼ਾਂਤੀ", "ਬਣਾਈ", "ਰੱਖਣ", "ਦੀ", "ਅਪੀਲ", "ਕੀਤੀ", "।" ]	[ "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਪਾਕਿਸਤਾਨ", "ਦੇ", "ਪ੍ਰਧਾਨ", "ਮੰਤਰੀ", "ਇਮਰਾਨ", "ਖਾਨ", "ਨੂੰ", "ਭਾਰਤ", "ਨੇ", "ਜਵਾਬ", "ਦਿੱਤਾ", "ਹੈ", "।" ]	[ "B-LOC", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਸੰਕੁਚਿਤ", "ਇਕੱਲੀ", "ਅਧੀਨ", "-", "ਡਾਇਰੈਕਟਰੀ", "ਦੀ", "ਨਹੀਂ", "ਹੈ" ]	[ "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", "ਵਾਰਤਾ", "ਪੂਰਬੀ", "ਲੱਦਾਖ", "'", "ਚ", "LAC", "ਦੇ", "ਕੋਲ", "ਚੁਸ਼ੁਲ", "ਸੈਕਟਰ", "'", "ਚ", "ਭਾਰਤੀ", "ਜ਼ਮੀਨ", "'", "ਤੇ", "ਹੋਈ", "।" ]	[ "O", "O", "O", "B-LOC", "O", "O", "B-ORG", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਇੰਟਰਗਲੋਬ", "ਐਵੀਏਸ਼ਨ", "ਜਹਾਜ਼", "ਕੰਪਨੀ", "ਇੰਡੀਗੋ", "ਚਲਾਉਂਦੀ", "ਹੈ", "।" ]	[ "B-ORG", "I-ORG", "I-ORG", "I-ORG", "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.	[ "ਪੰਜਾਬ", "ਵਿਚ", "ਅਜਿਹਾ", "ਬਹੁਤ", "ਘੱਟ", "ਵਾਪਰਦਾ", "ਹੈ", "।" ]	[ "B-LOC", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਉਨ੍ਹਾਂ", "ਕਿਹਾ", "ਕਿ", "ਇਹ", "ਮੁਹਿੰਮ", "ਪੰਜਾਬ", "ਦੇ", "ਸਾਰੇ", "ਜਿਲ੍ਹਿਆਂ", "ਵਿੱਚ", "ਚਲਾਈ", "ਜਾ", "ਰਹੀ", "ਹੈ", "।" ]	[ "O", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਕਿੰਗ", "ਖ਼ਾਨ", "ਦੁਨੀਆ", "ਦੇ", "ਸਭ", "ਤੋਂ", "ਅਮੀਰ", "ਐਕਟਰਾਂ", "'", "ਚ", "ਸ਼ਾਮਲ", "ਹਨ", "।" ]	[ "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.	[ "ਪ੍ਰਸ਼ਾਸਨਿਕ", "ਸੁਧਾਰ", "ਅਤੇ", "ਜਨ", "ਸ਼ਿਕਾਇਤਾਂ", "ਵਿਭਾਗ", "ਦੇ", "ਸਕੱਤਰ", "ਸ੍ਰੀ", "ਦੇਵੇਂਦਰ", "ਚੌਧਰੀ", "ਨੇ", "ਸਿਵਲ", "ਸੇਵਾ", "ਦਿਵਸ", "ਸਮਾਰੋਹ", "ਦੌਰਾਨ", "ਆਪਣੀ", "ਭਾਗੀਦਾਰੀ", "ਅਤੇ", "ਮਾਰਗ", "ਦਰਸ਼ਨ", "ਦੇ", "ਲਈ", "ਪ੍ਰਧਾਨ", "ਮੰਤਰੀ", "ਅਤੇ", "ਕੇਂਦਰੀ", "ਮੰਤਰੀਆਂ", "ਦਾ", "ਧੰਨਵਾਦ", "ਕੀਤਾ", "।" ]	[ "B-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "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" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "(", "ਰਘੂਰਾਮ", "ਵਰਮਾ", ",", "ਪੰਜਾਬ", ")", "(", "ਮੋਨਿਕਾ", "ਸੂਦ", ",", "ਪ੍ਰਿੰਸੀਪਲ", ",", "ਡੀਏਵੀ", "ਸੀਨੀਅਰ", "ਸੈਕੰਡਰੀ", "ਸਕੂਲ", "ਹੁਸ਼ਿਆਰਪੁਰ", ",", "ਪੰਜਾਬ", ")", "(", "ਮੋਨਿਕਾ", "ਸੂਦ", ",", "ਪ੍ਰਿੰਸੀਪਲ", ",", "ਡੀਏਵੀ", "ਸੀਨੀਅਰ", "ਸੈਕੰਡਰੀ", "ਸਕੂਲ", "ਹੁਸ਼ਿਆਰਪੁਰ", ",", "ਪੰਜਾਬ", ")", "ਪੰਜਾਬ", "ਦੇ", "ਇੱਕ", "ਕਿਸਾਨ", "ਜਗਮੋਹਨ", "ਸਿੰਘ", "ਗਰੇਵਾਲ", "ਨੇ", "ਕਿਹਾ", "ਕਿ", "ਖੇਤੀਬਾੜੀ", "ਮੰਡੀਕਰਣ", ",", "ਮੱਛੀਪਾਲਣ", "ਖੇਤਰ", "ਆਦਿ", "ਲਈ", "ਕੀਤੇ", "ਗਏ", "ਹਾਲੀਆ", "ਐਲਾਨ", "ਦੇਸ਼", "ਦੇ", "ਕਿਸਾਨਾਂ", "ਲਈ", "ਲਾਹੇਵੰਦ", "ਹੋਣਗੇ", "।" ]	[ "O", "B-PER", "O", "O", "B-LOC", "O", "O", "B-PER", "I-PER", "O", "O", "O", "B-LOC", "I-LOC", "I-LOC", "I-LOC", "I-LOC", "O", "B-LOC", "O", "O", "B-PER", "I-PER", "O", "O", "O", "B-LOC", "I-LOC", "I-LOC", "I-LOC", "I-LOC", "O", "B-LOC", "O", "B-LOC", "O", "O", "O", "B-PER", "I-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਸਬ", "-", "ਕਮੇਟੀ" ]	[ "B-ORG", "I-ORG", "I-ORG" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਆਪਣਾ", "ਵਿਸ਼ਵਾਸ", "ਮੇਰੇ", "ਤੇ", "ਪ੍ਰਗਟਾਉਣ", "ਦੇ", "ਲਈ", "ਇਸ", "ਮਹਾਨ", "ਭੂਮੀ", "ਦੇ", "ਲੋਕਾਂ", "ਦਾ", "ਧੰਨਵਾਦ", "ਕਰਨ", "ਤੋਂ", "ਬਾਅਦ", "ਉਸ", "ਤੋਂ", "ਅਗਲੀ", "ਸਵੇਰ", "ਮੈਂ", "ਕਾਸ਼ੀ", "ਵਿਚ", "ਹੋਵਾਂਗਾ", "।" ]	[ "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" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਸਮਾਜ", "-", "ਵਿਗਿਆਨੀ", "ਇਲਵੋ", "ਦਿਯਾਮਤੀ", "ਨੇ", "ਲਾ", "ਰਿਪਬਲਿਕਾ", "ਵਿਚ", "ਹਰ", "ਰੋਜ਼", "ਲਿਖਿਆ", ",", "\"", "ਵਿਸ਼ਾਣੂ", "ਦੀ", "ਰਾਤ", "ਚਲਦੀ", "ਰਹਿੰਦੀ", "ਹੈ", "।" ]	[ "O", "O", "O", "B-PER", "I-PER", "O", "B-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਇਸ", "ਵਿਚ", "ਕਿਹਾ", "ਗਿਆ", "ਕਿ", "ਇਹ", "ਸੋਧ", "ਰਾਜ", "ਸਹਿਕਾਰੀ", "ਕਾਨੂੰਨ", "ਤਹਿਤ", "ਰਾਜ", "ਸਹਿਕਾਰੀ", "ਕਮੇਟੀ", "ਰਜਿਸਟਰਾਰ", "ਦੀ", "ਮੌਜੂਦਾ", "ਸ਼ਕਤੀਆਂ", "ਨੂੰ", "ਪ੍ਰਭਾਵਤ", "ਨਹੀਂ", "ਕਰਦਾ", "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.	[ "ਉਮਰਃ", "16" ]	[ "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਪ੍ਰਧਾਨ", "ਮੰਤਰੀ", ",", "ਸ੍ਰੀ", "ਨਰੇਂਦਰ", "ਮੋਦੀ", "ਨੇ", "ਅੱਜ", "ਟੋਕੀਓ", "ਵਿੱਚ", "'", "ਮੇਕ", "ਇਨ", "ਇੰਡੀਆਂ", ":", "ਇੰਡੀਆ", "-", "ਜਪਾਨ", "ਪਾਰਟਨਰਸ਼ਿਪ", "ਇਨ", "ਅਫਰੀਕਾ", "ਐਂਡ", "ਡਿਜੀਟਲ", "ਪਾਰਟਨਰਸ਼ਿਪ", "'", "ਸੈਮੀਨਾਰ", "ਨੂੰ", "ਸੰਬੋਧਨ", "ਕੀਤਾ", "।" ]	[ "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "B-LOC", "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.	[ "ਗੁਰੂ", "ਨੇ", "ਇਸ", "ਗੀਤ", "ਦੇ", "ਬੋਲ", "ਵੀ", "ਖੁਦ", "ਹੀ", "ਲਿਖੇ", "ਹਨ", "।" ]	[ "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.	[ "ਵੇਸਾਕ", "-", "ਬੁੱਧ", "ਪੂਰਣਿਮਾ", "ਨੂੰ", "ਤੀਹਰੇ", "ਆਸ਼ੀਰਵਾਦ", "ਦਿਵਸ", "ਦੇ", "ਰੂਪ", "ਵਿੱਚ", "ਮੰਨਿਆ", "ਜਾਂਦਾ", "ਹੈ", ",", "ਯਾਨੀ", "ਗੌਤਮ", "ਬੁੱਧ", "ਦਾ", "ਜਨਮ", ",", "ਗਿਆਨ", "ਅਤੇ", "ਮਹਾ", "ਪਰਿਨਿਰਵਾਣ", "।", "*" ]	[ "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "6", ":", "15", ",", "16", "-", "ਕੀ", "ਇਹ", "ਸ਼ਬਦ", "ਯਿਸੂ", "ਉੱਤੇ", "ਜਾਂ", "ਯਹੋਵਾਹ", "ਪਰਮੇਸ਼ੁਰ", "ਉੱਤੇ", "ਲਾਗੂ", "ਹੁੰਦੇ", "ਹਨ", "?" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਅਰਧ", "-", "ਓਪਰੇਟਰ", "ਅਧਿਕਾਰ", "ਵਾਲੇ", "ਯੂਜ਼ਰਾਂ", "ਲਈ", "ਆਈਕਾਨ" ]	[ "O", "O", "O", "O", "O", "O", "O", "B-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.	[ "ਉਨ੍ਹਾਂ", "ਕਿਹਾ", "ਕਿ", "ਅਕਾਲੀ", "ਦਲ", "ਆਪਣੇ", "ਲੜੀਵਾਰ", "ਧਰਨਿਆਂ", "ਰਾਹੀਂ", "ਲੋਕਾਂ", "ਨੂੰ", "ਲਾਮਬੱਧ", "ਕਰ", "ਕੇ", "ਸਰਕਾਰ", "ਨੂੰ", "ਕਿਸਾਨਾਂ", ",", "ਨੌਜਵਾਨਾ", "ਤੇ", "ਸਮਾਜ", "ਦੇ", "ਕਮਜ਼ੋਰ", "ਵਰਗਾਂ", "ਨਾਲ", "ਕੀਤੇ", "ਵਾਅਦੇ", "ਪੂਰੇ", "ਕਰਨ", "ਲਈ", "ਮਜ਼ਬੂਰ", "ਕਰ", "ਦੇਵੇਗਾ", "।" ]	[ "O", "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਭਾਰਤ", "ਤੇ", "ਵੈਸਟਇੰਡੀਜ਼", "ਦੀਆਂ", "ਟੀਮਾਂ", "ਪਹਿਲੇ", "ਵਨ", "ਡੇ", "ਲਈ", "ਚੇਨਈ", "ਪਹੁੰਚੀਆਂ" ]	[ "B-LOC", "O", "B-LOC", "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.	[ "ਧਰਮਵੀਰ", "ਸਿੰਘ", "ਅਤੇ", "ਹੋਰ", "ਉੱੰਘੀਆਂ", "ਹਸਤੀਆਂ", "ਸ਼ਾਮਲ", "ਸਨ", "।" ]	[ "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "\"", "ਫੈਜ਼ਲ", "ਨੇ", "ਕਿਹਾ", ",", "\"", "ਅਸੀਂ", "ਕੌਂਸਲੇਟ", "ਕੰਪਲੈਕਸ", "ਅਤੇ", "ਕਰਮੀਆਂ", "ਦੀ", "ਸੁਰੱਖਿਆ", "ਯਕੀਨੀ", "ਕਰਨ", "ਲਈ", "ਅਫਗਾਨ", "ਅਧਿਕਾਰੀਆਂ", "ਨਾਲ", "ਸੰਪਰਕ", "ਵਿਚ", "ਹਾਂ", "।" ]	[ "O", "B-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਇਹ", "ਦਿਨ", "ਭਾਰਤ", "ਦੇ", "ਡਾ", "." ]	[ "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.	[ "ਮੌਕੇ", "'", "ਤੇ", "ਪੁੱਜੀ", "ਪੁਲਿਸ", "ਨੇ", "ਲਾਸ਼", "ਕਬਜੇ", "'", "ਚ", "ਲੈ", "ਕੇ", "ਪੋਸਟਮਾਰਟਮ", "ਲਈ", "ਭੇਜ", "ਦਿੱਤੀ", "ਹੈ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਉਨ੍ਹਾਂ", "ਪਿੰਡ", "ਦੇ", "ਸ਼ਮਸ਼ਾਨਘਾਟ", "ਲਈ", "ਇੱਕ", "ਲੱਖ", "ਰੁਪਏ", "ਦੇਣ", "ਦਾ", "ਐਲਾਨ", "ਕੀਤਾ", "।" ]	[ "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", "ਦਫਤਰ", "ਦੇ", "ਇਕ", "ਬੁਲਾਰੇ", "ਨੇ", "ਦੱਸਿਆ", "ਕਿ", "ਜਸਟਿਸ", "ਗਿੱਲ", "ਨੇ", "ਮੁੱਖ", "ਮੰਤਰੀ", "ਨੂੰ", "ਦੱਸਿਆ", "ਕਿ", "41", "ਸ਼ਿਕਾਇਤਾਂ", "ਦੀ", "ਆਗਿਆ", "ਦਿੱਤੀ", "ਗਈ", "ਹੈ", "ਜਿਨ੍ਹਾਂ", "ਵਿੱਚ", "ਐਫ", ".", "ਆਈ", ".", "ਆਰ", ".", "ਰੱਦ", "ਕਰਨ", "ਲਈ", "ਮੁੱਖ", "ਤੌਰ", "'", "ਤੇ", "ਤਜਵੀਜ਼", "ਕੀਤੀ", "ਗਈ", "ਹੈ", "।" ]	[ "B-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਇਹੀ", "ਵਰਤਾਰਾ", "ਉੱਤਰ", "ਪੂਰਬ", "ਵਿੱਚ", "ਚੱਲ", "ਰਿਹਾ", "ਹੈ", "।" ]	[ "O", "O", "B-LOC", "I-LOC", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਉਨ੍ਹਾਂ", "ਕਿਹਾ", "ਕਿ", "ਕਾਂਗਰਸ", "ਸਰਕਾਰ", "ਵਿੱਚ", "ਮੁਸਲਿਮ", "ਭਾਈਚਾਰੇ", "ਦਾ", "ਪੂਰਾ", "ਮਾਣ", "-", "ਸਨਮਾਨ", "ਯਕੀਨੀ", "ਬਣਾਇਆ", "ਜਾਵੇਗਾ", "।" ]	[ "O", "O", "O", "B-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਇਸ", "ਕਾਰਨ", "ਯਹੋਵਾਹ", "ਨਾਲ", "ਸਾਡਾ", "ਰਿਸ਼ਤਾ", "ਲੀਰੋ", "-", "ਲੀਰ", "ਹੋ", "ਸਕਦਾ", "ਹੈ", "।", "-", "ਯਾਕੂਬ", "1:14,15", "ਪੜ੍ਹੋ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਇਸ", "ਨਾਲ", "ਅੰਦਰੂਨੀ", "ਹਵਾ", "ਪ੍ਰਦੂਸ਼ਣ", "ਹੋ", "ਸਕਦਾ", "ਹੈ", "." ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਜ਼ਖਮੀਆਂ", "ਵਿਚ", "ਰਾਜੂ", ",", "ਪੱਪੂ", ",", "ਰਾਜਿੰਦਰ", ",", "ਰਾਜ", "ਕੁਮਾਰ", ",", "ਸੰਜੇ", ",", "ਗੌਤਮ", "ਲਾਲ", ",", "ਮੁਹੰਮਦ", "ਸਹਿਜ਼ਾਦ", "ਤੇ", "ਪ੍ਰੇਮ", "ਪਾਲ", "ਵਜੋਂ", "ਹੋਈ", "ਹੈ", "।" ]	[ "O", "O", "B-PER", "O", "O", "O", "B-PER", "O", "O", "O", "O", "B-PER", "O", "B-PER", "B-PER", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਮਨੁ¤ਖੀ", "ਸੰਸਾਧਨ", "ਵਿਕਾਸ", "ਮੰਤਰਾਲੇ", "ਦੀ", "ਤਾਜ਼ਾ", "ਰਿਪੋਰਟ", "ਅਨੁਸਾਰ", ",", "ਪੂਰੇ", "ਭਾਰਤ", "ਵਿਚਲੇ", "ਸਾਰੇ", "ਸਕੂਲਾਂ", "ਦਾ", "ਸਰਵੇਖਣ", ",", "ਸਰਕਾਰੀ", "ਸਕੂਲਾਂ", "ਵਿਚ", "ਸਰਕਾਰੀ", "ਸਕੂਲਾਂ", "ਵਿਚ", "ਪੰਜਾਬ", "ਦੇ", "ਸਕੂਲਾਂ", "ਵਿਚ", "ਕੇਵਲ", "ਚਾਰ", "ਕਲਾਸਰੂਮ", "ਵਿਚ", "ਸਭ", "ਤੋਂ", "ਗਰੀਬ", "ਐਸੀ", "ਦੀ", "ਇਕ", "ਸਭ", "ਤੋਂ", "ਜ਼ਿਆਦਾ", "ਔਸਤ", "ਹੈ", "।" ]	[ "B-ORG", "B-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਫਿਲਮ", "ਵਿੱਚ", "ਸੰਜੇ", "ਦਾ", "ਰੋਲ", "ਰਣਬੀਰ", "ਕਪੂਰ", "ਕਰ", "ਰਹੇ", "ਹਨ", "।" ]	[ "O", "O", "B-PER", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਇਸ", "ਅੰਦੋਲਨ", "ਦੀ", "ਅਗਵਾਈ", "ਕਰ", "ਰਹੇ", "ਹਰਿਆਣਾ", "ਦੇ", "ਸਿੱਖ", "ਆਗੂਆਂ", "ਨੇ", "ਪੰਜਾਬ", "ਨਾਲ", "ਸਬੰਧਤ", "ਧਾਰਮਿਕ", "-", "ਸਿਆਸੀ", "ਜਥੇਬੰਦੀਆਂ", "ਕੋਲ", "ਇਹ", "ਮੁੱਦਾ", "ਚੁੱਕਿਆ", "ਸੀ", "।" ]	[ "O", "O", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਅਦਾਲਤ", "ਨੇ", "ਸੁਣਿਆ", "ਕਿ", "ਯਾਦਵਿੰਦਰ", "ਅਤੇ", "ਉਸ", "ਦਾ", "ਸਮੂਹ", "ਸਵੇਰ", "ਦੀ", "ਪ੍ਰਾਰਥਨਾ", "ਦੇ", "ਬਾਅਦ", "ਗੁਰਦੁਆਰੇ", "ਦੇ", "ਬਾਹਰ", "ਬੱਸ", "ਸਟਾਪ", "'", "ਤੇ", "ਜਮਾਂ", "ਹੋਇਆ", "।" ]	[ "O", "O", "O", "O", "B-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਮੁੱਖ", "ਮੰਤਰੀ", "ਪ੍ਰਕਾਸ਼", "ਸਿੰਘ", "ਬਾਦਲ", "ਨੇ", "ਇਹ", "ਫੈਸਲਾ", "ਅੱਜ", "ਇੱਥੇ", "ਭਾਰਤੀ", "ਕਿਸਾਨ", "ਯੂਨੀਅਨ", "(", "ਰਾਜੇਵਾਲ", ")", "ਦੇ", "ਪ੍ਰਧਾਨ", "ਬਲਬੀਰ", "ਸਿੰਘ", "ਰਾਜੇਵਾਲ", "ਦੀ", "ਅਗਵਾਈ", "ਵਿੱਚ", "ਪੰਜ", "ਮੈਂਬਰੀ", "ਵਫ਼ਦ", "ਨਾਲ", "ਹੋਈ", "ਮੀਟਿੰਗ", "ਦੌਰਾਨ", "ਲਿਆ", "।" ]	[ "O", "O", "B-PER", "I-PER", "I-PER", "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", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਕਾਨਪੁਰ", "ਸਮੂਹ" ]	[ "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.	[ "ਟੀਮ", "'", "ਚ", "ਰਿਸ਼ਭ", "ਪੰਤ", ",", "ਮਨਦੀਪ", "ਸਿੰਘ", ",", "ਯੁਜਵੇਂਦਰ", "ਚਾਹਲ", ",", "ਪਰਵੇਜ਼", "ਰਸੂਲ", ",", "ਸੁਰੇਸ਼", "ਰੈਨਾ", "ਤੇ", "ਆਸ਼ੀਸ਼", "ਨੇਹਰਾ", ",", "ਛੇ", "ਅਜਿਹੇ", "ਖਿਡਾਰੀ", "ਸ਼ਾਮਲ", "ਹਨ", ",", "ਜੋ", "ਇਕ", "ਰੋਜ਼ਾ", "ਟੀਮ", "ਦਾ", "ਹਿੱਸਾ", "ਨਹੀਂ", "ਸਨ", "।" ]	[ "O", "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", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਉਧਰ", "ਸੇਬੀ", "ਨੇ", "ਆਪਣੀ", "ਜਮ੍ਹਾਂ", "ਪੂੰਜੀ", "ਦਾ", "75", "ਫੀਸਦ", "ਸਰਕਾਰੀ", "ਖ਼ਜ਼ਾਨੇ", "'", "ਚ", "ਤਬਦੀਲ", "ਕਰਨ", "ਦੀ", "ਬਜਟ", "ਤਜਵੀਜ਼", "ਦਾ", "ਵਿਰੋਧ", "ਕੀਤਾ", "ਹੈ", "।" ]	[ "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "%", "s", ":", "%", "s", "ਨੂੰ", "ਗਰੁੱਪ", "/", "ਹੋਰ", "ਲਿਖ", "ਸਕਦੇ", "ਹਨ", "।" ]	[ "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.	[ "ਸਈਦ", "ਰਾਸ਼ਟਰਵਾਦੀ", "ਕਾਜ਼", "ਨੂੰ", "ਅਗਵਾਈ", "ਦੇਣ", ",", "ਮੁਕਤੀ", "ਵਾਹਿਨੀ", "ਗੁਰੀਲਾ", "ਫੋਰਸ", "ਦਾ", "ਤਾਲਮੇਲ", "ਕਰਨ", "ਅਤੇ", "ਭਾਰਤ", "ਅਤੇ", "ਹੋਰ", "ਰਾਸ਼ਟਰਾਂ", "ਦਾ", "ਸਮਰਥਨ", "ਹਾਸਲ", "ਕਰਨ", "ਵਿੱਚ", "ਅਹਿਮ", "ਭੂਮਿਕਾ", "ਨਿਭਾਈ", "।" ]	[ "B-PER", "O", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਦੋ", "ਸਿਵਲੀਅਨ", "ਮੁਲਜ਼ਮਾਂ", "ਬਸ਼ੀਰ", "ਅਹਿਮਦ", "ਲੋਨ", "ਤੇ", "ਅਬਦੁਲ", "ਹਾਮਿਦ", "ਬੱਟ", "ਦੇ", "ਨਾਂ", "ਵੀ", "ਚਾਰਜਸ਼ੀਟ", "ਵਿੱਚ", "ਸ਼ਾਮਲ", "ਸਨ", "।" ]	[ "O", "O", "O", "B-PER", "I-PER", "I-PER", "O", "B-PER", "I-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.	[ "ਤੇਜ਼", "ਗੇਂਦਬਾਜ਼", "ਮਿਸ਼ੇਲ", "ਸਟਾਰਕ", "ਅਤੇ", "ਪੈਟ", "ਕਮਿੰਜ਼", "ਚੰਗਾ", "ਪ੍ਰਦਰਸ਼ਨ", "ਕਰ", "ਰਹੇ", "ਹਨ", "।" ]	[ "O", "O", "B-PER", "I-PER", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਮੈਚ", "ਬਹੁਤ", "ਹੀ", "ਰੋਮਾਂਚਕ", "ਸੀ", "।" ]	[ "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਕੇਂਦਰ", "ਸਰਕਾਰ", "ਵੱਲੋਂ", "ਪੈਰਿਸ", "ਵਾਤਾਵਰਨ", "ਸੰਧੀ", "ਨੂੰ", "ਪ੍ਰਵਾਨਗੀ" ]	[ "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.	[ "ਅਜੈ", "ਸ਼ਰਮਾ", "ਪੀ", ".", "ਟੀ", ".", "ਯੂ", "ਦੇ", "ਵਾਈਸ", "ਚਾਂਸਲਰ", "ਨਿਯੁਕਤ" ]	[ "O", "B-PER", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O" ]