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polyglots
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Punjabi-NER

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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.	[ "ਮੈਨੂੰ", "ਵਿਸ਼ਵਾਸ", "ਹੈ", "ਕਿ", "ਕੇਰਲ", "ਵਿੱਚ", "ਮੇਰੀਆਂ", "ਮਛੇਰੇ", "ਭੈਣਾਂ", "ਅਤੇ", "ਭਾਈਆਂ", "ਨੂੰ", "ਇਸ", "ਯੋਜਨਾ", "ਤੋਂ", "ਲਾਭ", "ਹੋਵੇਗਾ", "।" ]	[ "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਨੰਗਲ", ",", "19", "ਜੁਲਾਈ" ]	[ "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.	[ "ਇਸ", "ਪ੍ਰੋਜੈਕਟ", "ਦਾ", "ਮੁਕੰਮਲ", "ਹੋਣਾ", "ਸਾਡੇ", "ਚੱਲ", "ਰਹੇ", "ਪ੍ਰੋਜੈਕਟਾਂ", "ਨੂੰ", "ਮੁਕੰਮਲ", "ਕਰਨ", "ਦੇ", "ਇਰਾਦੇ", "ਨੂੰ", "ਦਰਸਾਉਂਦਾ", "ਹੈ", "ਅਤੇ", "ਇਸ", "ਨਾਲ", "ਉੱਤਰ", "ਪੂਰਬੀ", "ਖੇਤਰ", "ਵਿੱਚ", "ਵਿਕਾਸ", "ਦਾ", "ਇੱਕ", "ਨਵਾਂ", "ਦੌਰ", "ਸ਼ੁਰੂ", "ਹੋਵੇਗਾ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "I-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਟਰੰਪ", "ਵੱਲੋਂ", "ਤਿੰਨ", "ਭਾਰਤੀ", "ਅਹਿਮ", "ਪ੍ਰਸ਼ਾਸਨਿਕ", "ਅਹੁਦਿਆਂ", "ਲਈ", "ਨਾਮਜ਼ਦ" ]	[ "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.	[ "ਕੌਮੀ", "ਸਿਆਸੀ", "ਆਗੂਆਂ", "ਖ਼ਿਲਾਫ਼", "ਜਾਂਚ", "ਦਾ", "ਆਦੇਸ਼", "ਨਹੀਂ", "ਦਿੱਤਾ", "ਭਾਵੇਂ", "ਇਨ੍ਹਾਂ", "ਵਿੱਚੋਂ", "ਕੋਈ", "ਵੀ", "ਭਾਜਪਾ", "ਜਾਂ", "ਐੱਨਡੀਏ", "ਨਾਲ", "ਸਬੰਧਿਤ", "ਨਹੀਂ", "ਹੈ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "O", "B-ORG", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the 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", "ਸੂਬੇ", "ਵਿਚ", "ਕਾਨੂੰਨ", "ਤੇ", "ਵਿਵਸਥਾ", "ਅਤੇ", "ਸ਼ਾਂਤੀ", "ਬਣਾਏ", "ਰੱਖਣ", "ਲਈ", "10", "ਸੀਨੀਅਰ", "ਆਈ", ".", "ਪੀ", ".", "ਐਸ", ".", "ਅਧਿਕਾਰੀ", "ਅਤੇ", "ਪੁਲਿਸ", "ਵਿਭਾਗ", "ਦੇ", "ਵਧੀਕ", "ਡਾਇਰੈਕਟਰ", "ਜਰਨਲ", "ਪੱਧਰ", "ਦੇ", "ਦੋ", "ਅਧਿਕਾਰੀਆਂ", "ਨੂੰ", "ਤੈਨਾਤ", "ਕੀਤਾ", "ਗਿਆ", "ਹੈ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "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", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the 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", "ਵਾਰ", "ਪ੍ਰਭੂਦੇਵਾ", "ਫਿਲਮ", "ਦਾ", "ਨਿਰਦੇਸ਼ਨ", "ਕਰ", "ਰਹੇ", "ਹਨ", "।" ]	[ "O", "O", "B-PER", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਨਾਈਜੀਰੀਅਨ", "ਪੁਲਸ", "ਅਤੇ", "ਜਲ", "ਸੈਨਾ", "ਤੋਂ", "ਲੋੜੀਂਦੀ", "ਮਦਦ", "ਮਿਲਣ", "ਦੇ", "ਬਾਅਦ", "ਨਿਮਸਾ", "ਦੀ", "ਇਕ", "ਟੀਮ", "ਨੂੰ", "ਅਗਵਾ", "ਕੀਤੇ", "ਭਾਰਤੀ", "ਮਲਾਹਾਂ", "ਨੂੰ", "ਬਚਾਉਣ", "ਲਈ", "ਤਾਇਨਾਤ", "ਕੀਤਾ", "ਗਿਆ", "।" ]	[ "B-ORG", "I-ORG", "O", "B-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਪਰ", ",", "ਸਾਨੂੰ", "ਕੁਝ", "ਖ਼ੁਸ਼", "ਖ਼ਬਰੀ", "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.	[ "ਪਾਵਰ", "ਜਨਰੇਸ਼ਨ", "ਕੰਪਨੀ" ]	[ "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.	[ "ਗਗਨਦੀਪ", "ਕੌਰ", "ਨੇ", "88.9", "ਫ਼ੀਸਦੀ", "ਅੰਕਾਂ", "ਕਾਲਜ", "ਵਿੱਚੋਂ", "ਦੂਜਾ", "ਅਤੇ", "ਜਸਪ੍ਰੀਤ", "ਕੌਰ", "ਨੇ", "84.5", "ਫ਼ੀਸਦੀ", "ਅੰਕ", "ਲੈ", "ਕੇ", "ਕਾਲਜ", "ਵਿੱਚੋਂ", "ਤੀਜਾ", "ਸਥਾਨ", "ਪ੍ਰਾਪਤ", "ਕੀਤਾ", "।" ]	[ "B-PER", "I-PER", "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.	[ "ਮਾਝੇ", "ਦੇ", "ਤਿੰਨ", "ਟਕਸਾਲੀ", "ਅਕਾਲੀ", "ਆਗੂਆਂ", "ਨੇ", "ਹਾਲ", "ਹੀ", "ਵਿੱਚ", "ਪਾਰਟੀ", "ਲੀਡਰਸ਼ਿਪ", "ਵਿਰੁੱਧ", "ਬਗ਼ਾਵਤ", "ਦਾ", "ਝੰਡਾ", "ਚੁੱਕਿਆ", "ਸੀ", "।" ]	[ "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਕੇਰਲ", "ਦੇ", "ਸੀਐੱਮ", "ਦੀ", "ਧੀ", "ਮਾਕਪਾ", "ਆਗੂ", "ਨਾਲ", "ਨਾਲ", "ਵਿਆਹੀ", "ਗਈ" ]	[ "B-ORG", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਇਸ", "ਮਾਮਲੇ", "ਦੇ", "ਤਿੰਨ", "ਹੋਰ", "ਮੁਲਜ਼ਮ", "ਭਗੌੜੇ", "ਹਨ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਇਸ", "ਦੇ", "ਨਾਲ", "ਹੀ", "ਐਕਸਿਸ", "ਬੈਂਕ", "ਕਰੈਡਿਟ", "ਕਾਰਡ", "ਰਾਹੀਂ", "5", "ਪ੍ਰਤੀਸ਼ਤ", "ਦਾ", "ਵਾਧੂ", "ਡਿਸਕਾਊਂਟ", "ਵੀ", "ਮਿਲੇਗਾ", "।" ]	[ "O", "O", "O", "O", "B-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਦੀਪਾ", "ਦਾ", "ਇਹ", "ਵਿਸ਼ਵ", "ਚੈਲੰਜ", "ਕੱਪ", "ਵਿਚ", "ਪਹਿਲਾ", "ਮੈਡਲ", "ਹੈ", "।" ]	[ "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.	[ "ਭਾਜਪਾ", "ਰਾਜਸਥਾਨ", ",", "ਬਿਹਾਰ", ",", "ਛੱਤੀਸਗੜ", "ਅਤੇ", "ਮੱਧਪ੍ਰਦੇਸ਼", "ਵਿੱਚ", "ਸੀਟਾਂ", "ਗੁਆਵੇਗੀ", "।" ]	[ "O", "B-LOC", "O", "B-LOC", "O", "B-LOC", "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.	[ "ਸੰਗਠਨ", "ਅਤੇ", "ਪ੍ਰਸ਼ਾਸਨ" ]	[ "B-ORG", "I-ORG", "I-ORG" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਇਸ", "ਆਯੋਜਨ", "ਵਿੱਚ", "ਭਾਰਤ", "ਦੇ", "ਲਗਭਗ", "82", "ਵਿਭਿੰਨ", "ਯੂਨੀਵਰਸਿਟੀਆਂ", ",", "ਸੰਸਥਾਨਾਂ", "ਅਤੇ", "ਹੋਰ", "ਸੰਗਠਨਾਂ", "ਦੇ", "ਕੁੱਲ", "657", "ਵਿਦਵਾਨਾਂ", "ਨੇ", "ਹਿੱਸਾ", "ਲਿਆ", "।" ]	[ "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਪੂਰਬੀ", "ਹਵਾਈ", "ਫ਼ੌਜ", "ਕਮਾਨ", "ਦੇ", "ਏਅਰ", "ਅਫਸਰ", "ਕਮਾਂਡਿੰਗ", "-", "ਇਨ", "-", "ਚੀਫ਼", "ਏਅਰ", "ਮਾਰਸ਼ਲ", "ਆਰਡੀ", "ਮਾਥੁਰ", "ਨੇ", "ਇਸ", "ਸਬੰਧੀ", "ਇਨਾਮ", "ਦਾ", "ਐਲਾਨ", "ਕੀਤਾ", "।" ]	[ "B-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਚੰਡੀਗੜ੍ਹਃ", "ਪੰਜਾਬ", "ਸਰਕਾਰ", "ਦੀ", "ਖਿਚਾਈ", "ਕਰਦਿਆਂ", "ਪੰਜਾਬ", "-", "ਹਰਿਆਣਾ", "ਹਾਈ", "ਕੋਰਟ", "ਨੇ", "ਸਪਸ਼ਟ", "ਕੀਤਾ", "ਕਿ", "20", "ਸਾਲ", "ਦੀ", "ਲਾਜ਼ਮੀ", "ਸੇਵਾ", "ਪੂਰੀ", "ਹੋਣ", "ਤੋਂ", "ਬਾਅਦ", "ਕਿਸੇ", "ਵਰਕਰ", "ਦੀ", "ਪੈਨਸ਼ਨ", "ਰੋਕ", "ਕੇ", "ਨਹੀਂ", "ਰੱਖੀ", "ਜਾ", "ਸਕਦੀ", "।" ]	[ "O", "B-ORG", "I-ORG", "O", "O", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "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.	[ "ਮਿੱਤਲ", "ਵੱਲੋਂ", "ਕੀਤੇ", "ਖੁਲਾਸਿਆਂ", "'", "ਤੇ", "ਕਾਰਵਾਈ", "ਕਰਦਿਆਂ", ",", "ਪੁਲਿਸ", "ਟੀਮ", "ਨੇ", "ਇਸ", "ਰੈਕੇਟ", "ਨਾਲ", "ਸਬੰਧਤ", "ਤੈਅਬ", "ਕੁਰੈਸੀ", "ਪੁੱਤਰ", "ਬਾਬੂ", "ਕੁਰੈਸੀ", "ਵਾਸੀ", "ਚੱਕਲਾ", "ਸਟ੍ਰੀਟ", ",", "ਸਦਰ", "ਬਾਜਾਰ", ",", "ਮਥੁਰਾ", "ਦਾ", "ਪਤਾ", "ਲਗਾਇਆ", "।" ]	[ "B-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "B-PER", "I-PER", "O", "B-LOC", "I-LOC", "O", "B-LOC", "I-LOC", "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.	[ "ਇਹ", "ਇੱਕੋ", "ਇੱਕ", "ਸੜਕ", "ਨਹੀਂ", "ਹੈ", "ਜੋ", "ਦਿੱਲੀ", "-", "ਨੋਇਡਾ", "ਨੂੰ", "ਜੋੜਦੀ", "ਹੈ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "B-LOC", "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.	[ "ਬੈਂਕ", "ਦਾ", "ਐਨ" ]	[ "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਮੰਨਾ", "ਡੇ", "ਨੇ", "ਕਿਸ਼ੋਰ", "ਕੁਮਾਰ", ",", "ਮੁਹੰਮਦ", "ਰਫ਼ੀ", ",", "ਲਤਾ", "ਮੰਗੇਸ਼ਕਰ", ",", "ਆਸ਼ਾ", "ਭੋਂਸਲੇ", "ਅਤੇ", "ਹੋਰ", "ਬਹੁਤ", "ਸਾਰੇ", "ਪਿੱਠਵਰਤੀ", "ਗਾਇਕਾਂ", "ਨਾਲ", "ਗੀਤ", "ਗਾਏ", "।" ]	[ "O", "O", "O", "B-PER", "I-PER", "O", "B-PER", "I-PER", "O", "B-PER", "I-PER", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਉਨ੍ਹਾਂ", "ਆਖਿਆ", "ਕਿ", "ਬੁਢਾਪਾ", "ਪੈਨਸ਼ਨ", "ਸਕੀਮ", "ਤਹਿਤ", "ਰਾਸ਼ੀ", "ਵੰਡਣ", "ਲਈ", "45", "ਕਰੋਡ਼", "ਰੁਪਏ", "ਅਤੇ", "ਅਸ਼ੀਰਵਾਦ", "ਸਕੀਮ", "ਲਈ", "7", "ਕਰੋਡ਼", "ਰੁਪਏ", "ਰੱਖੇ", "ਗਏ", "ਹਨ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਇਹ", "ਹੁਕਮ", "ਦੇ", "ਨਾਲ", "ਹੀ", "ਇਹ", "ਮਾਮਲਾ", "ਪੂਰੀ", "ਤਰ੍ਹਾਂ", "ਖਤਮ", "ਹੋ", "ਗਿਆ", "ਹੈ", "।" ]	[ "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.	[ "ਚੌਤਰਫ਼ਾ", "ਆਰਥਿਕ", "ਵਿਕਾਸ", "ਲਈ", "ਪਿੰਡਾਂ", "ਦੇ", "ਅਰਥਚਾਰੇ", "ਨੂੰ", "ਬਦਲਣ", "'", "ਤੇ", "ਜ਼ੋਰ", "ਦਿੰਦਿਆਂ", "ਪ੍ਰਧਾਨ", "ਮੰਤਰੀ", "ਨੇ", "ਕਿਹਾ", "ਕਿ", "ਜੇਕਰ", "ਭਾਰਤ", "ਨੂੰ", "ਬਦਲਣਾ", "ਹੈ", "ਤਾਂ", "ਪਿੰਡਾਂ", "ਨੂੰ", "ਬਦਲਣਾ", "ਪਏਗਾ", "ਅਤੇ", "ਖੇਤੀ", "ਵਿਕਾਸ", "ਹਾਸਲ", "ਕਰਨਾ", "ਪਏਗਾ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the 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", "ਖਿਲਾਫ਼", "ਥਾਣਾ", "ਡਿਵੀਜ਼ਨ", "ਨੰਬਰ", "6", "ਵਿਚ", "ਕੇਸ", "ਦਰਜ", "ਕੀਤਾ", "ਹੋਇਆ", "ਸੀ", "।" ]	[ "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਧੋਨੀ", "ਭਾਰਤੀ", "ਟੀਮ", "ਦਾ", "ਕਪਤਾਨ", "ਹੈ", "।" ]	[ "B-PER", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਦੋਵਾਂ", "ਨੰੂ", "ਸਿਵਲ", "ਹਸਪਤਾਲ", "ਦਾਖ਼ਲ", "ਕਰਵਾਇਆ", "ਗਿਆ", "।" ]	[ "O", "O", "B-LOC", "I-LOC", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਸਰਕਾਰ", "ਨੇ", "ਪਿਛਲੇ", "ਮਹੀਨੇ", "ਇਸ", "ਮੁੱਦੇ", "'", "ਤੇ", "ਸੁਝਾਅ", "ਦੇਣ", "ਲਈ", "ਵਿੱਤ", "ਅਤੇ", "ਰੇਲਵੇ", "ਮੰਤਰਾਲੇ", "ਦੇ", "ਸੀਨੀਇਰ", "ਅਧਿਕਾਰੀਆਂ", "ਦੀ", "5", "ਮੈਂਬਰਾਂ", "ਕਮੇਟੀ", "ਗਠਿਤ", "ਕੀਤੀ", "ਸੀ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਇੱਕ", "ਸਰਕਾਰੀ", "ਅਧਿਕਾਰੀ", "ਨੇ", "ਇਹ", "ਜਾਣਕਾਰੀ", "ਦਿੱਤੀ", "." ]	[ "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਰਣਜੀਤ", "ਸਿੰਘ", "ਖ਼ਿਲਾਫ਼", "ਪਹਿਲਾਂ", "ਵੀ", "ਕਈ", "ਮਾਮਲੇ", "ਦਰਜ", "ਹਨ", "।" ]	[ "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਬੈਂਗਾਜ਼ੀ", "(", "ਲਿਬੀਆ", ")", ",", "7", "ਸਤੰਬਰ" ]	[ "B-LOC", "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.	[ "ਇ੍ਹਨਾਂ", "ਕਿਹਾ", "ਕਿ", "ਪਾਕਿਸਤਾਨ", "ਨੂੰ", "ਸਬਕ", "ਸਿਖਾਉਣ", "ਦਾ", "ਸਮਾਂ", "ਆ", "ਗਿਆ", "ਹੈ", "।" ]	[ "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.	[ "ਓਨਾਮ", "ਕਿਵੇਂ", "ਮਨਾਇਆ", "ਜਾਂਦਾ", "ਹੈ", "?" ]	[ "B-PER", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਉਨ੍ਹਾਂ", "ਨੂੰ", "ਭਾਰਤ", "'", "ਚ", "ਰਾਜਸਥਾਨ", "ਯੂਨੀਵਰਸਿਟੀ", "ਤੋਂ", "ਮਕੈਨੀਕਲ", "ਇੰਜੀਨੀਅਰਿੰਗ", "'", "ਚ", "ਗ੍ਰੈਜੂਏਸ਼ਨ", ",", "ਸਕਾਟਲੈਂਡ", "ਦ", "ਸਟ੍ਰੈਥਕਲਾਈਡ", "ਯੂਨੀਵਰਟੀ", "ਤੋਂ", "ਗ੍ਰੈਜੂਏਸ਼ਨ", "ਅਤ", "ਇੰਗਲੈਂਡ", "ਦੀ", "ਡੀ", "ਮੋਂਟਫੋਰਟ", "ਯੂਨੀਵਰਸਿਟੀ", "ਤੋਂ", "ਡਾਕਟਰਟ", "ਦੀ", "ਡਿਗਰੀ", "ਹਾਸਲ", "ਕੀਤੀ", "ਹੈ", "।" ]	[ "O", "O", "B-LOC", "O", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "B-LOC", "I-ORG", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "B-LOC", "I-ORG", "I-ORG", "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.	[ "ਕਲਕੱਤਾ", "ਹਾਈ", "ਕੋਰਟ", "ਦੇ", "ਜੱਜ", "ਜਸਟਿਸ", "ਸੀ", "ਐੱਸ", "ਕਰਨਣ", "ਨੇ", "ਉਨ੍ਹਾਂ", "ਖ਼ਿਲਾਫ਼", "ਨਿਯਮਾਂ", "ਦੀ", "ਉਲੰਘਣਾ", "'", "ਤੇ", "ਕਾਰਵਾਈ", "ਕਰਨ", "ਖ਼ਿਲਾਫ਼", "ਦਲਿਤ", "ਕਾਰਡ", "ਚਲਾਇਆ", "ਹੈ", "।" ]	[ "B-LOC", "O", "O", "O", "O", "B-PER", "I-PER", "I-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the 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", "ਸੰਮੇਲਨ", "ਦਾ", "ਪ੍ਰਬੰਧ", "ਭਾਰਤ", "ਦੇ", "ਵਿਗਿਆਨ", "ਤੇ", "ਤਕਨਾਲੋਜੀ", "ਵਿਭਾਗ", "ਅਤੇ", "ਕਨਫੈਡਰੇਸ਼ਨ", "ਆਫ", "ਇੰਡੀਅਨ", "ਇੰਡਸਟਰੀ", "(", "ਸੀਆਈਆਈ", ")", "ਨੇ", "ਕੀਤਾ", "ਹੈ", "।" ]	[ "O", "O", "O", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "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.	[ "ਪੀੜਤ", "ਦੁਕਾਨਦਾਰ", "ਨੂੰ", "ਸਿਵਲ", "ਹਸਪਤਾਲ", "ਲਿਜਾਇਆ", "ਗਿਆ", "।" ]	[ "O", "O", "O", "B-LOC", "I-LOC", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਇਸ", "ਤੋਂ", "ਇਲਾਵਾ", ",", "ਟੈਂਪਰਲੇ", "ਲੰਦਨ", "37", "ਦੇਸ਼ਾਂ", "ਵਿੱਚ", "300", "ਸਟੋਰਾਂ", "ਵਿੱਚ", "ਵਿਕਦਾ", "ਹੈ", "।" ]	[ "O", "O", "O", "O", "B-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਸੂਬਾ", "ਸਰਕਾਰ", "ਦੇ", "ਪ੍ਰਮੁੱਖ", "ਪ੍ਰੋਗਰਾਮ", "`", "ਘਰ", "-", "ਘਰ", "ਰੁਜ਼ਗਾਰ", "`", "ਦੀ", "ਸਫਲਤਾ", "ਦਾ", "ਜ਼ਿਕਰ", "ਕਰਦਿਆਂ", "ਉਨਾਂ", "ਨੇ", "ਵਫ਼ਦ", "ਨੂੰ", "ਹੁਨਰ", "ਵਿਕਾਸ", "ਤੇ", "ਰੁਜ਼ਗਾਰ", "ਯੋਜਨਾਵਾਂ", "ਨੂੰ", "ਉਤਸ਼ਾਹਤ", "ਕਰਨ", "ਲਈ", "ਹਰ", "ਸੰਭਵ", "ਸਹਿਯੋਗ", "ਦੇਣ", "ਦਾ", "ਭਰੋਸਾ", "ਦਿੱਤਾ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "O", "O", "O", "O", "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.	[ "ਆਪਣੀ", "ਵੀ", "ਕਥਾਂ", "ਦੱਸੋ", "।" ]	[ "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਪ੍ਰੈੱਸ", "ਨੇ", "ਅੱਤ", "ਕਰ", "ਦਿੱਤੀ", "ਸੀ", ",", "ਕਿਉਂਕਿ", "ਜਿਵੇਂ", "ਭਾਜਪਾ", "ਨੇਤਾ", "ਐਲ", ".", "ਕੇ", ".", "ਅਡਵਾਨੀ", "ਨੇ", "ਵੀ", "ਕਿਹਾ", "ਸੀ", "ਕਿ", "ਤੁਹਾਨੂੰ", "ਝੁਕਣ", "ਲਈ", "ਕਿਹਾ", "ਗਿਆ", "ਸੀ", "ਪਰ", "ਤੁਸੀਂ", "ਤਾਂ", "ਰੀਂਗਣ", "ਲੱਗ", "ਪਏ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "O", "B-PER", "I-PER", "I-PER", "I-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਡਿਵੀਜ਼ਨਲ", "ਕਮਿਸ਼ਨਰਾਂ", "ਅਤੇ", "ਡਿਪਟੀ", "ਕਮਿਸ਼ਨਰਾਂ", "ਦੀ", "ਮੀਟਿੰਗ", "ਦੀ", "ਪ੍ਰਧਾਨਗੀ", "ਕਰਦਿਆਂ", "ਮੁੱਖ", "ਮੰਤਰੀ", "ਨੇ", "ਮੁੱਖ", "ਸਕੱਤਰ", ",", "ਆਪਣੇ", "ਪ੍ਰਮੁੱਖ", "ਸਕੱਤਰ", "ਤੇ", "ਖੁਰਾਕ", "ਤੇ", "ਸਿਵਲ", "ਸਪਲਾਈਜ਼", "ਵਿਭਾਗ", "ਦੇ", "ਸਕੱਤਰ", "'", "ਤੇ", "ਆਧਾਰਿਤ", "ਤਿੰਨ", "ਮੈਂਬਰੀ", "ਕਮੇਟੀ", "ਕਾਇਮ", "ਕੀਤੀ", "ਜੋ", "ਨਿਰਵਿਘਨ", "ਖਰੀਦ", "ਦੇ", "ਨਾਲ", "ਨਾਲ", "ਮੰਡੀਆਂ", "ਤੋਂ", "ਝੋਨੇ", "ਦੀ", "ਛੇਤੀ", "ਚੁਕਾਈ", "ਬਾਰੇ", "ਡਿਪਟੀ", "ਕਮਿਸ਼ਨਰਾਂ", "ਪਾਸੋਂ", "ਜਾਣਕਾਰੀ", "ਲੈ", "ਕੇ", "ਸਥਿਤੀ", "'", "ਤੇ", "ਰੋਜ਼ਾਨਾ", "ਨਜ਼ਰ", "ਰੱਖਗੀ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "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", "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.	[ "ਹਾਲਾਂਕਿ", ",", "ਯੂਨਾਨੀ", "(", "ਜਿਵੇਂ", "ਕਿ", "ਬਹੁਤ", "ਸਾਰੀਆਂ", "ਹੋਰ", "ਭਾਸ਼ਾਵਾਂ", "ਨਾਲ", ")", "ਦੇ", "ਨਾਲ", ",", "ਇਤਿਹਾਸਕ", "ਤੌਰ", "'", "ਤੇ", "ਇਨ੍ਹਾਂ", "ਸ਼ਬਦਾਂ", "ਦੇ", "ਅਰਥਾਂ", "ਨੂੰ", "ਪੂਰੀ", "ਤਰ੍ਹਾਂ", "ਵੱਖ", "ਕਰਨਾ", "ਮੁਸ਼ਕਿਲ", "ਰਿਹਾ", "ਹੈ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਪ੍ਰੀਤੀ", "ਪਾਟਕਰ", "ਇੱਕ", "ਭਾਰਤੀ", "ਸੋਸ਼ਲ", "ਵਰਕਰ", "ਅਤੇ", "ਮਨੁੱਖੀ", "ਅਧਿਕਾਰ", "ਕਾਰਕੁਨ", "ਹੈ", "।" ]	[ "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.	[ "ਉਹ", "ਹੁਣ", "ਯਹੋਵਾਹ", "ਪਰਮੇਸ਼ੁਰ", "ਅਤੇ", "ਯਿਸੂ", "ਮਸੀਹ", "ਦੇ", "ਮਿੱਤਰ", "ਬਣਨ", "ਦੇ", "ਵਿਸ਼ੇਸ਼", "-", "ਸਨਮਾਨ", "ਦਾ", "ਆਨੰਦ", "ਮਾਣਦੇ", "ਹਨ", "।" ]	[ "O", "O", "B-PER", "I-PER", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਇਸ", "ਮੌਕੇ", "ਸੋਨੂੰ", "ਮਾਹਲ", ",", "ਬਲਜਿੰਦਰ", "ਸਿੰਘ", ",", "ਸੁਖਜਿੰਦਰ", "ਸਿੰਘ", "ਕਾਬਲ", "ਸਿੰਘ", ",", "ਲਾਡੀ", ",", "ਗੁਰਮੇਜ", "ਸਿੰਘ", ",", "ਰਣਜੀਤ", "ਸਿੰਘ", "ਆਦਿ", "ਹਾਜ਼ਰ", "ਸਨ", "।" ]	[ "O", "O", "O", "B-PER", "O", "O", "O", "O", "B-PER", "I-PER", "I-PER", "B-PER", "I-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.	[ "ਹਰਮਨਪ੍ਰੀਤ", "ਕੌਰ", "(", "ਕਪਤਾਨ", ")", ",", "ਤਾਨੀਆ", "ਭਾਟੀਆ", ",", "ਹਰਲੀਨ", "ਦਿਓਲ", ",", "ਰਾਜੇਸ਼ਵਰੀ", "ਗਾਇਕਵਾੜ", ",", "ਰਿਚਾ", "ਘੋਸ਼", ",", "ਵੇਦਾ", "ਕ੍ਰਿਸ਼ਣਾਮੂਰਤੀ", ",", "ਸਮਿ੍ਤੀ", "ਮੰਧਾਨਾ", ",", "ਸ਼ਿਖਾ", "ਪਾਂਡੇ", ",", "ਪੂਨਮ", "ਯਾਦਵ", ",", "ਅਰੁੰਧਤੀ", "ਰੈੱਡੀ", ",", "ਜੇਮੀਮਾ", "ਰਾਡਰਿਗਜ਼", ",", "ਸ਼ੇਫਾਲੀ", "ਵਰਮਾ", ",", "ਦੀਪਤੀ", "ਸ਼ਰਮਾ", ",", "ਪੂਜਾ", "ਵਸਤਰਾਕਰ", ",", "ਰਾਧਾ", "ਯਾਦਵ", "।" ]	[ "B-PER", "I-PER", "O", "O", "O", "O", "B-PER", "I-PER", "O", "B-PER", "I-PER", "O", "B-PER", "I-PER", "O", "B-PER", "O", "O", "B-PER", "I-PER", "O", "B-PER", "I-PER", "O", "O", "B-PER", "O", "O", "B-PER", "I-PER", "I-PER", "B-PER", "I-PER", "I-PER", "O", "O", "B-PER", "I-PER", "O", "B-PER", "I-PER", "O", "B-PER", "I-PER", "O", "B-PER", "I-PER", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਕੀ", "ਉਹ", "ਪੁੱਛੇ", "ਸਵਾਲਾਂ", "ਦੇ", "ਜਵਾਬ", "ਦੇ", "ਦਿੰਦਾ", "?" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਉਸ", "ਦਾ", "ਇੱਕ", "ਵੱਡਾ", "ਭਰਾ", "ਰਿਸ਼ਭ", "ਹੇਗੜੇ", "ਵੀ", "ਹੈ", ",", "ਜੋ", "ਆਰਥੋਪੈਡਿਕ", "ਸਰਜਨ", "ਹੈ", "।" ]	[ "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਭਾਵੇਂ", "ਕਿ", "ਇਹ", "ਸਕੀਮ", "ਮੁਲਾਜ਼ਮਾਂ", "ਤੇ", "ਪੈਨਸ਼ਨਰਾਂ", "ਲਈ", "ਜ਼ਰੂਰੀ", "ਹੋਵੇਗੀ", "ਪਰ", "ਇਹ", "ਆਲ", "ਇੰਡੀਆ", "ਸਰਵਿਸ", "ਆਫੀਸਰਜ਼", ",", "ਸੇਵਾ", "ਵਿਚਲੇ", "ਤੇ", "ਸਾਬਕਾ", "ਵਿਧਾਇਕਾਂ", ",", "ਪੰਜਾਬ", "ਤੇ", "ਹਰਿਆਣਾ", "ਹਾਈ", "ਕੋਰਟ", "ਦੇ", "ਸੇਵਾ", "ਵਿਚਲੇ", "ਅਤੇ", "ਸਾਬਕਾ", "ਜੱਜਾਂ", "ਲਈ", "ਆਪਸ਼ਨਲ", "ਹੋਵੇਗੀ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "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.	[ "ਪੁਲੀਸ", "ਨੇ", "ਮੁਲਜ਼ਮ", "ਨੂੰ", "ਚੋਰੀਸ਼ੁਦਾ", "ਐਕਟਿਵਾ", "ਸਮੇਤ", "ਗ੍ਰਿਫ਼ਤਾਰ", "ਕਰ", "ਲਿਆ", "।" ]	[ "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", "ਲਈ", "ਭਾਰਤ", "ਦਾ", "ਅਤੇ", "ਮੇਰਾ", ",", "ਪੂਰਾ", "ਨਿਜੀ", "ਸਹਿਯੋਗ", "ਰਹੇਗਾ", "।" ]	[ "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਉਨ੍ਹਾਂ", "ਨੇ", "ਕੋਵਿਡ", "-", "19", "ਸ਼ਿਕਾਇਤ", "ਨਿਵਾਰਨ", "ਨੂੰ", "ਸੰਭਾਲਣ", "ਵਿੱਚ", "ਡੀਏਆਰਪੀਜੀ", "ਟੀਮ", "ਦੀ", "ਪ੍ਰਭਾਵਸ਼ੀਲਤਾ", "ਵਿੱਚ", "ਸਰਕਾਰ", "ਦੇ", "ਭਰੋਸੇ", "ਨੂੰ", "ਦੁਹਰਾਇਆ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਪਿੰਡ", "ਅਤੇ", "ਪੋ", "-", "ਪਿੱਡਾ" ]	[ "O", "O", "O", "O", "B-LOC" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਇਕੱਠ", "ਨੂੰ", "ਸੰਬੋਧਨ", "ਕਰਦੇ", "ਹੋਏ", "ਪ੍ਰਧਾਨ", "ਮੰਤਰੀ", "ਨੇ", "ਰਾਸ਼ਟਰਪਤੀ", "ਪੂਤਿਨ", "ਦਾ", "ਇਸ", "ਭਾਈਵਾਲੀ", "ਲਈ", "ਧੰਨਵਾਦ", "ਕੀਤਾ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਮੁੱਖ", "ਗੱਲਾਂ", "-", "ਐੱਨਐੱਨਐੱਮ", "ਇੱਕ", "ਪ੍ਰਮੁੱਖ", "ਸੰਸਥਾ", "ਵਜੋਂ", "ਮੰਤਰਾਲਿਆਂ", "ਦੀਆਂ", "ਪੋਸ਼ਣ", "ਸਬੰਧੀ", "ਦਖਲਅੰਦਾਜ਼ੀਆਂ", "ਦੀ", "ਨਿਗਰਾਨੀ", ",", "ਦੇਖਭਾਲ", ",", "ਟੀਚੇ", "ਮਿੱਥਣ", "ਦਾ", "ਕੰਮ", "ਅਤੇ", "ਮਾਰਗਦਰਸ਼ਨ", "ਕਰੇਗਾ", "।" ]	[ "O", "O", "O", "B-ORG", "O", "O", "O", "O", "B-ORG", "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.	[ "ਰਾਜ", "ਸਭਾ", "ਦੇ", "ਨੇਤਾ", "ਵਿੱਤ", "ਮੰਤਰੀ", "ਅਰੁਣ", "ਜੇਤਲੀ", "ਨੇ", "ਸੁਸ਼ਮਾ", "ਸਵਰਾਜ", "ਦੇ", "ਹੱਕ", "'", "ਚ", "ਉਤਰਦਿਆਂ", "ਕਿਹਾ", "ਕਿ", "ਵਿਰੋਧੀ", "ਧਿਰ", "ਇਕ", "ਵੀ", "ਨੁਕਤਾ", "ਦੱਸ", "ਦੇਵੇ", "ਕਿ", "ਉਨ੍ਹਾਂ", "ਲਲਿਤ", "ਮੋਦੀ", "ਦੀ", "ਸਹਾਇਤਾ", "ਕਰਨ", "ਸਮੇਂ", "ਕਾਨੂੰਨ", "ਦੀ", "ਕੋਈ", "ਉਲੰਘਣਾ", "ਕੀਤੀ", "ਹੈ", "।" ]	[ "O", "B-ORG", "O", "O", "O", "O", "B-PER", "I-PER", "O", "B-PER", "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" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਅਸੀਂ", "ਬੜੀ", "ਤੇਜੀ", "ਨਾਲ", "ਡਿਜੀਟਲ", "ਆਰਥਿਕਤਾ", "ਬਣਨ", "ਵੱਲ", "ਵਧ", "ਰਹੇ", "ਹਾਂ", "।" ]	[ "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", "ਵਿਦੇਸ਼", "ਮੰਤਰਾਲੇ", "ਦੇ", "ਤਰਜਮਾਨ", "ਮੁਹੰਮਦ", "ਫੈਸਲ", "ਨੇ", "ਕਸ਼ਮੀਰ", "'", "ਚ", "ਧਾਰਾ", "370", "ਨੂੰ", "ਖਾਰਜ", "ਕੀਤੇ", "ਜਾਣ", "ਦੇ", "ਮੁੱਦੇ", "'", "ਤੇ", "ਪੱਤਰਕਾਰਾਂ", "ਨਾਲ", "ਗੱਲਬਾਤ", "ਕਰਦਿਆਂ", "ਕਿਹਾ", "ਕਿ", "ਅਜਿਹੀ", "ਕੋਈ", "ਵੀ", "ਪਹਿਲਕਦਮੀ", "ਸੰਯੁਕਤ", "ਰਾਸ਼ਟਰ", "ਦੀਆਂ", "ਤਜਵੀਜ਼ਾਂ", "ਦਾ", "ਉਲੰਘਣ", "ਹੋਵੇਗੀ", "।" ]	[ "B-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "O", "B-PER", "I-PER", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਜੂਨੀਅਰ", "ਭਾਰਤੀ", "ਟੀਮ", "ਦੇ", "ਉਨ੍ਹਾਂ", "ਦੇ", "ਸਾਥੀ", "ਖਿਡਾਰੀ", "ਸੰਤਾ", "ਸਿੰਘ", ",", "ਵਿਕਰਮਜੀਤ", "ਸਿੰਘ", ",", "ਦਿਪਸਨ", "ਟਿਰਕੀ", ",", "ਮਨਪ੍ਰੀਤ", "(", "ਜੂਨੀਅਰ", ")", "ਤੇ", "ਅਰਮਾਨ", "ਕੁਰੈਸ਼ੀ", "ਨੂੰ", "ਪਿਛਲੇ", "ਰਾਸ਼ਟਰੀ", "ਕੈਂਪ", "'", "ਚ", "ਜਗ੍ਹਾ", "ਨਹੀਂ", "ਮਿਲੀ", "ਸੀ", "ਪਰ", "ਹਾਕੀ", "ਇੰਡੀਆ", "ਦੇ", "60", "ਖਿਡਾਰੀਆਂ", "ਦੀ", "ਇਸ", "ਸੂਚੀ", "'", "ਚ", "ਉਨ੍ਹਾਂ", "ਨੂੰ", "ਵੀ", "ਜਗ੍ਹਾ", "ਦਿਤੀ", "ਗਈ", "ਹੈ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "B-PER", "I-PER", "O", "B-PER", "I-PER", "O", "B-PER", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the 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", "ਬਾਅਦ", "ਪੰਜਾਬ", "ਮੰਤਰੀ", "ਮੰਡਲ", "ਨੇ", "20", "ਸਤੰਬਰ", ",", "2018", "ਨੂੰ", "ਇਸ", "ਪ੍ਰਾਜੈਕਟ", "ਨੂੰ", "ਪ੍ਰਵਾਨਗੀ", "ਦੇ", "ਦਿੱਤੀ", "।" ]	[ "O", "O", "O", "B-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.	[ "ਬੀਬੀਸੀ", "ਨੇ", "ਉਸ", "ਨੂੰ", "ਵਿਸ਼ਵ", "ਦੀ", "ਸਭ", "ਤੋਂ", "ਪ੍ਰਭਾਵਸ਼ਾਲੀ", "asਰਤਾਂ", "ਵਜੋਂ", "ਸੂਚੀਬੱਧ", "ਕੀਤਾ", "ਹੈ", "ਅਤੇ", "ਉਸਨੇ", "ਕੈਨੇਡੀਅਨ", "ਪੱਤਰਕਾਰ", "ਰੀਮਾ", "ਏਲਕੌਰੀ", "ਨਾਲ", "ਆਪਣੀ", "ਕਹਾਣੀ", "ਬਾਰੇ", "ਇਕ", "ਕਿਤਾਬ", "ਲਿਖੀ", "ਹੈ", "." ]	[ "B-ORG", "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" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਐਸ", ".", "ਜੀ", ".", "ਟੀ", ".", "ਬੀ", ".", "ਖਾਲਸਾ", "ਕਾਲਜ", "ਦੇ", "ਨਾਲ", "ਹੀ", "ਦਿੱਲੀ", "ਯੂਨੀਵਰਸਿਟੀ", "ਦੇ", "ਤਿੰਨ", "ਹੋਰ", "ਕਾਲਜਾਂ", "ਗੁਰੂ", "ਨਾਨਕ", "ਦੇਵ", "ਖਾਲਸਾ", "ਕਾਲਜ", "ਦੇਵ", "ਨਗਰ", ",", "ਸ੍ਰੀ", "ਗੁਰੂ", "ਗੋਬਿੰਦ", "ਸਿੰਘ", "ਕਾਲਜ", "ਆਫ", "ਕਾਮਰਸ", "ਪੀਤਮਪੁਰਾ", "ਤੇ", "ਮਾਤਾ", "ਸੁੰਦਰੀ", "ਕਾਲਜ", "ਫਾਰ", "ਵਿਮੈਨ", "-", "ਜੋ", "ਦਿੱਲੀ", "ਸਿੱਖ", "ਗੁਰਦੁਆਰਾ", "ਪ੍ਰਬੰਧਕ", "ਕਮੇਟੀ", "ਵੱਲੋਂ", "ਚਲਾਏ", "ਜਾਂਦੇ", "ਹਨ", ",", "ਨੂੰ", "ਵੀ", "ਘੱਟ", "ਗਿਣਤੀ", "ਵਿਦਿਅਕ", "ਅਦਾਰਿਆਂ", "ਸਬੰਧੀ", "ਕੌਮੀ", "ਕਮਿਸ਼ਨ", "ਨੇ", "ਘੱਟ", "ਗਿਣਤੀ", "ਦੇ", "ਅਦਾਰੇ", "ਐਲਾਨ", "ਦਿੱਤਾ", "।" ]	[ "B-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "O", "O", "B-ORG", "I-ORG", "O", "O", "O", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "B-LOC", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "B-LOC", "O", "B-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਵਿਗਿਆਨ", "ਤੇ", "ਤਕਨਾਲੋਜੀ", "ਮੰਤਰਾਲਾ", "ਐੱਨਆਰਡੀਸੀ", "ਨੇ", "16", "ਕੋਵਿਡ", "-", "19", "ਟੈਕਨੋਲੋਜੀਆਂ", "ਦੇ", "ਸਕੇਲਿੰਗ", "ਅੱਪ", "ਅਤੇ", "ਵੈਲੀਡੇਸ਼ਨ", "ਲਈ", "ਵਿੱਤ", "ਪੋਸ਼ਣ", "ਫੰਡ", "ਦਿੱਤੇ", "ਭਾਰਤ", "ਸਰਕਾਰ", "ਦੇ", "ਵਿਗਿਆਨ", "ਅਤੇ", "ਟੈਕਨੋਲੋਜੀ", "ਮੰਤਰਾਲੇ", "ਦੇ", "ਵਿਗਿਆਨਕ", "ਅਤੇ", "ਉਦਯੋਗਿਕ", "ਖੋਜ", "ਵਿਭਾਗ", "ਦੇ", "ਤਹਿਤ", "ਇੱਕ", "ਉੱਦਮ", "ਨੈਸ਼ਨਲ", "ਰਿਸਰਚ", "ਡਿਵੈਲਪਮੈਂਟ", "ਕਾਰਪੋਰੇਸ਼ਨ", "(", "ਐੱਨਆਰਡੀਸੀ", ")", "ਨੇ", "ਆਪਣੇ", "ਵਿਗਿਆਨਕ", "ਅਤੇ", "ਉਦਯੋਗਿਕ", "ਖੋਜ", "ਵਿਭਾਗ", "ਦੇ", "ਅਨੁਦਾਨ", "ਪ੍ਰੋਗਰਾਮ", "ਤਹਿਤ", "ਕੋਵਿਡ", "-", "19", "ਨਾਲ", "ਸਬੰਧਿਤ", "ਟੈਕਨੋਲੋਜੀਆਂ", "ਦੀ", "ਅੱਪ", "-", "ਸਕੇਲਿੰਗ", "ਲਈ", "ਕਮਰਸ਼ੀਲਾਈਜ਼ੇਸ਼ਨ", "ਲਈ", "ਇਨੋਵੇਟਰਾਂ", "ਤੋਂ", "ਪ੍ਰਸਤਾਵ", "ਮੰਗੇ", "।" ]	[ "B-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਬਾਅਦ", "ਲੜਕੀ", "ਨੂੰ", "ਹਸਪਤਾਲ", "ਲਿਆਂਦਾ", "ਗਿਆ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਰਾਜ", "ਅਤੇ", "ਕੇਂਦਰ", "ਸ਼ਾਸਤ", "ਪ੍ਰਦੇਸ਼" ]	[ "B-LOC", "O", "B-LOC", "I-LOC", "I-LOC" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਅਨਾਜ", "ਵੰਡ", "ਕੇਂਦਰੀ", "ਮੰਤਰੀ", "ਨੇ", "ਕਿਹਾ", "ਕਿ", "ਕੋਵਿਡ", "-", "19", "ਸੰਕਟ", "ਦੇ", "ਦੌਰਾਨ", "ਵਧਦੀ", "ਮੰਗ", "ਨੂੰ", "ਪੂਰਾ", "ਕਰਨ", "ਦੇ", "ਲਈ", "ਦੇਸ਼", "ਵਿੱਚ", "ਕਾਫੀ", "ਮਾਤਰਾ", "ਵਿੱਚ", "ਅਨਾਜਾਂ", "ਦਾ", "ਵਾਧੂ", "ਭੰਡਾਰ", "ਮੌਜੂਦ", "ਹੈ", "।" ]	[ "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", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਹਾਲਾਂਕਿ", "ਕੇਂਦਰ", "ਸਰਕਾਰ", "ਨੇ", "ਇਨ੍ਹਾਂ", "ਦੋਸ਼ਾਂ", "ਨੂੰ", "ਨਕਾਰ", "ਦਿੱਤਾ", "ਹੈ", "।" ]	[ "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.	[ "ਉਸ", "ਨੂੰ", "ਤੁਰੰਤ", "ਸੈਕਟਰ", "-", "32", "ਦੇ", "ਸਰਕਾਰੀ", "ਹਸਪਤਾਲ", "ਵਿੱਚ", "ਪਹੁੰਚਾਇਆ", "ਗਿਆ", "ਅਤੇ", "ਇਲਾਜ", "ਦੌਰਾਨ", "ਉਸ", "ਦੀ", "ਮੌਤ", "ਹੋ", "ਗਈ", "।" ]	[ "O", "O", "O", "B-LOC", "I-LOC", "I-LOC", "O", "B-LOC", "I-LOC", "I-LOC", "I-LOC", "I-LOC", "I-LOC", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਉਸ", "ਨੂੰ", "ਕੁਝ", "ਪ੍ਰਮੁੱਖ", "ਮੀਡੀਆ", "ਆਊਟਲੈਟਾਂ", "ਵਿੱਚ", "ਫ਼ੀਚਰ", "ਕੀਤਾ", "ਗਿਆ", ",", "ਜਿਸ", "ਵਿੱਚ", "ਦ", "ਨਿਊਯਾਰਕ", "ਟਾਈਮਜ਼", ",", "ਨਿਊ", "ਯਾਰਕ", "ਪੋਸਟ", ",", "ਨਿਊ", "ਯਾਰਕ", "ਮੈਗਜ਼ੀਨ", ",", "ਐਨ", ".", "ਬੀ", ".", "ਸੀ", ",", "ਡੇਲੀ", "ਡੌਟ", "ਅਤੇ", "ਹੋਰ", "ਸ਼ਾਮਿਲ", "ਹਨ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "I-ORG", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "B-ORG", "I-ORG", "O", "O", "O", "O", "B-ORG", "I-ORG", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਮੁੰਬਈ", "(", "ਪੀਟੀਆਈ", ")", ":", "ਸੀਨੀਅਰ", "ਫਿਲਮ", "ਲੇਖਕ", "ਕੇਵੀ", "ਪ੍ਰਸਾਦ", "ਅਨਿਲ", "ਕਪੂਰ", "ਦੀ", "ਫਿਲਮ", "'", "ਨਾਇਕ", ":", "ਦ", "ਰੀਅਲ", "ਹੀਰੋ", "'", "ਤੇ", "ਅਕਸ਼ੇ", "ਕੁਮਾਰ", "ਦੀ", "'", "ਰਾਊਡੀ", "ਰਾਠੌਰ", "'", "ਦੇ", "ਸੀਕਵਲ", "'", "ਤੇ", "ਕੰਮ", "ਕਰ", "ਰਹੇ", "ਹਨ", "।" ]	[ "B-LOC", "O", "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "B-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਐੱਫਪੀਓ", "ਦੇ", "ਮਾਮਲੇ", "ਵਿੱਚ", ",", "ਖੇਤੀਬਾੜੀ", "ਵਿਭਾਗ", ",", "ਸਹਿਕਾਰਤਾ", "ਤੇ", "ਕਿਸਾਨ", "ਭਲਾਈ", "ਵਿਭਾਗ", "ਦੀ", "ਐੱਫਪੀਓ", "ਪ੍ਰਮੋਸ਼ਨ", "ਸਕੀਮ", "ਤਹਿਤ", "ਬਣਾਈ", "ਗਈ", "ਇਸ", "ਸੁਵਿਧਾ", "ਤੋਂ", "ਕ੍ਰੈਡਿਟ", "ਗਰੰਟੀ", "ਦਾ", "ਲਾਭ", "ਪ੍ਰਾਪਤ", "ਕੀਤਾ", "ਜਾ", "ਸਕਦਾ", "ਹੈ", "।" ]	[ "B-ORG", "O", "O", "O", "O", "B-ORG", "I-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" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the 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", "ਸਭ", "ਅਫ਼ਵਾਹਾਂ", "ਹਨ", "।" ]	[ "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਇਸ", "ਮੌਸਮ", "ਵਿਚ", "ਮੈਡਰਿਡ", "ਦਾ", "ਹੋਰ", "ਨੁਕਸਾਨ", "ਚੈਂਪੀਅਨਜ਼", "ਲੀਗ", "ਦੇ", "ਸਮੂਹ", "ਪੜਾਅ", "ਵਿਚ", "ਪੈਰਿਸ", "ਸੇਂਟ", "-", "ਗਰਮੈਨ", ",", "ਸਪੇਨ", "ਦੀ", "ਲੀਗ", "ਦੇ", "ਮੈਲੋਰਕਾ", "ਵਿਖੇ", "ਅਤੇ", "ਕੋਪਾ", "ਡੇਲ", "ਰੇ", "ਵਿਚ", "ਰੀਅਲ", "ਸੋਸੀਏਡ", "ਦੇ", "ਵਿਰੁੱਧ", "ਹੋਇਆ", "." ]	[ "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਇਹੀ", "ਨਹੀਂ", "ਸਿੰਧ", "ਸੂਬੇ", "'", "ਚ", "ਹਿੰਦੂ", "ਲੜਕੀਆਂ", "ਦੀ", "ਜਬਰੀ", "ਧਰਮ", "ਤਬਦੀਲੀ", "ਅਤੇ", "ਅਗਵਾ", "ਰੋਕਣ", "ਲਈ", "ਸਿੰਧ", "ਅਸੈਂਬਲੀ", "ਨੇ", "ਸਰਬਸੰਮਤੀ", "ਨਾਲ", "ਮਤਾ", "ਪਾਸ", "ਕਰਨ", "ਤੋਂ", "ਇਲਾਵਾ", "ਅਜਿਹੀਆਂ", "ਸਰਗਰਮੀਆਂ", "ਵਿਚ", "ਸ਼ਾਮਿਲ", "ਲੋਕਾਂ", "ਵਿਰੁੱਧ", "ਕਾਰਵਾਈ", "ਕਰਨ", "ਦੀ", "ਮੰਗ", "ਕੀਤੀ", "ਹੈ", "।" ]	[ "O", "O", "B-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਚੇਨੱਈ", "ਨੂੰ", "ਜਿੱਤ", "ਲਈ", "24", "ਗੇਂਦਾਂ", "ਚ", "57", "ਦੌੜਾਂ", "ਦੀ", "ਜ਼ਰੂਰਤ", "ਹੈ", "।" ]	[ "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.	[ "ਟਰੰਪ", "ਜੂਨੀਅਰ", "ਨੇ", "ਕ੍ਰਮਵਾਰ", "ਕੋਲਕਾਤਾ", ",", "ਮੁੰਬਈ", ",", "ਪੂੰਨੇ", "ਅਤੇ", "ਗੁਰਗਰਾਮ", "ਵਿਚ", "ਭਾਰਤੀ", "ਨਿਵੇਸ਼ਕ", "ਅਤੇ", "ਕਾਰੋਬਾਰੀ", "ਲੀਡਰਾਂ", "ਨਾਲ", "ਮੁਲਾਕਾਤ", "ਕਰਨੀ", "ਹੈ", "।" ]	[ "B-PER", "I-PER", "O", "O", "B-LOC", "O", "B-LOC", "O", "B-LOC", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਭਾਰਤੀ", "ਫ਼ੌਜ", "ਨੇ", "ਵੀ", "ਗੋਲੀਬਾਰੀ", "ਦਾ", "ਕਰਾਰਾ", "ਜਵਾਬ", "ਦਿੱਤਾ", "।" ]	[ "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.	[ "ਰੋਮ", "ਫਿਲਮ", "ਫੈਸਟੀਵਲ", "ਵਿੱਚ", "ਵੀਡੀਓਸਿਟਾ", "2018", "'", "ਤੇ", "ਭਾਰਤੀ", "ਪੈਵਿਲੀਅਨਵਰਚੁਅਲ", "ਰਿਆਲਟੀ", ",", "ਵੀਡੀਓ", "ਗੇਮਿੰਗ", ",", "ਐਨੀਮੇਸ਼ਨ", ",", "ਫਿਲਮ", "ਨਿਰਮਾਣ", "ਆਦਿ", "ਉੱਤੇ", "ਕੇਂਦ੍ਰਿਤ", "ਰੋਮ", "ਫਿਲਮ", "ਫੈਸਟੀਵਲ", "ਦੇ", "ਆਯੋਜਨ", ",", "ਵੀਡੀਓਸਿਟਾ", "2018", "ਵਿਚ", "ਭਾਰਤ", "ਇੱਕ", "ਭਾਈਵਾਲ", "ਦੇਸ਼", "ਰਿਹਾ", "।" ]	[ "B-LOC", "I-LOC", "O", "O", "B-ORG", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "O", "O", "B-LOC", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਇਸ", "ਮੌਕੇ", "ਹੋਰ", "ਵੀ", "ਕਾਂਗਰਸੀ", "ਆਗੂ", "ਹਾਜ਼ਰ", "ਸਨ", "।" ]	[ "O", "O", "O", "O", "B-ORG", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਖਾਨ", "ਨੇ", "ਸੁਨਿਧੀ", "ਚੌਹਾਨ", "ਅਤੇ", "ਸ਼੍ਰੀਆ", "ਸਰਨ", "ਨਾਲ", "ਆਈਪੀਐਲ", "2011", "ਦੇ", "ਸੀਜ਼ਨ", "ਦੇ", "ਉਦਘਾਟਨ", "ਸਮਾਰੋਹ", "'", "ਚ", "ਪ੍ਰਦਰਸ਼ਨ", "ਕੀਤਾ", ",", "ਜਿੱਥੇ", "ਉਨ੍ਹਾਂ", "ਨੇ", "ਤਾਮਿਲ", "ਗੀਤਾਂ", "'", "ਤੇ", "ਡਾਂਸ", "ਕੀਤਾ", "।" ]	[ "B-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", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਉਨ੍ਹਾਂ", "ਦੱਸਿਆ", "ਕਿ", "ਦੇਸ਼", "ਭਰ", "ਦੇ", "ਐਕਸ", "-", "ਸਰਵਿਸਮੈਨ", "29", "ਅਕਤੂਬਰ", "ਨੂੰ", "ਨਵੀਂ", "ਦਿੱਲੀ", "ਦੇ", "ਜੰਤਰ", "ਮੰਤਰ", "ਵਿੱਚ", "'", "ਮਹਾ", "-", "ਰੈਲੀ", "'", "ਕਰਨਗੇ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "I-LOC", "O", "B-LOC", "I-LOC", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਇਹ", "ਦਾਅਵਾ", "ਪਾਕਿ", "ਮੀਡੀਆ", "ਰਿਪੋਰਟ", "ਵਿੱਚ", "ਕੀਤਾ", "ਗਿਆ", "ਹੈ", "।" ]	[ "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਹੇਠਲੀ", "ਅਦਾਲਤ", "ਵੱਲੋਂ", "ਭ੍ਰਿਸ਼ਟਾਚਾਰ", "ਦੇ", "ਮਾਮਲੇ", "ਵਿੱਚ", "ਦੋਸ਼ੀ", "ਕਰਾਰ", "ਦਿੱਤੇ", "ਗਏ", "ਪੰਜਾਬ", "ਲੋਕ", "ਸੇਵਾ", "ਕਮਿਸ਼ਨ", "(", "ਪੀਪੀਐਸਸੀ", ")", "ਦੇ", "ਸਾਬਕਾ", "ਚੇਅਰਮੈਨ", "ਰਵਿੰਦਰਪਾਲ", "ਸਿੰਘ", "ਸਿੱਧੂ", "ਨੂੰ", "ਪੰਜਾਬ", "ਅਤੇ", "ਹਰਿਆਣਾ", "ਹਾਈ", "ਕੋਰਟ", "ਨੇ", "ਅੱਜ", "ਜ਼ਮਾਨਤ", "ਦੇਣ", "ਤੋਂ", "ਨਾਂਹ", "ਕਰ", "ਦਿੱਤੀ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "B-ORG", "O", "O", "O", "O", "B-PER", "I-PER", "I-PER", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਅਤੇ", "ਇਸ", "ਲਈ", "ਮਹਾਰਾਸ਼ਟਰ", "ਸਰਕਾਰ", "ਵਧਾਈ", "ਦੀ", "ਪਾਤਰ", "ਹੈ", "।" ]	[ "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਇਸਦੇ", "ਅਧੀਨ", "ਆਉਣ", "ਵਾਲੇ", "ਕਾਲਜ", "ਪਹਿਲਾਂ", "ਕਲਕਤਾ", "ਯੂਨੀਵਰਸਿਟੀ", "ਦੇ", "ਅਧੀਨ", "ਸਨ", "।" ]	[ "O", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਅੰਮ੍ਰਿਤਸਰ", "ਵਿਖੇ", "ਆਪ", "ਆਗੂ", "ਸੁਰੇਸ਼", "ਸ਼ਰਮਾ", "ਨੂੰ", "ਮਾਰੀਆਂ", "ਗੋਲੀਆਂ" ]	[ "B-LOC", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਬੋਮਕਈ", "ਸਾੜ੍ਹੀ", "(", "ਸੋਨੇਪੁਰੀ", "ਸਾੜ੍ਹੀ", "ਵੀ", ")", "ਓਡੀਸ਼ਾ", ",", "ਭਾਰਤ", "ਦੀ", "ਇੱਕ", "ਹੈਂਡਲੂਮ", "ਸਾੜੀ", "ਹੈ", "।" ]	[ "B-PER", "O", "O", "B-LOC", "O", "O", "O", "B-LOC", "O", "B-LOC", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਇਸ", "ਉਦੇਸ਼", "ਨੂੰ", "ਧਿਆਨ", "ਵਿੱਚ", "ਰੱਖਦੇ", "ਹੋਏ", "ਮੰਤਰਾਲੇ", "ਨੇ", "ਕੇਂਦਰੀ", "ਜਨਤਕ", "ਸਿਹਤ", "ਅਤੇ", "ਵਾਤਾਵਰਣ", "ਇੰਜੀਨੀਅਰਿੰਗ", "ਸੰਗਠਨ", "(", "ਸੀਪੀਐੱਚਈਈਓ", ")", "ਦੁਆਰਾ", "ਤਿਆਰ", "ਕੀਤੇ", "ਗਏ", "ਦੋ", "ਦਸਤਾਵੇਜ਼ਾਂ", "ਦੀ", "ਸ਼ੁਰੂਆਤ", "ਕੀਤੀ", "-", "ਔਨ", "-", "ਸਾਈਟ", "ਅਤੇ", "ਔਫ", "-", "ਸਾਈਟ", "ਸੀਵੇਜ", "ਪ੍ਰਬੰਧਨ", "ਪ੍ਰਥਾਵਾਂ", "ਉੱਤੇ", "ਐਡਵਾਈਜਰੀ", "ਅਤੇ", "'", "ਮਿਊਂਸਪਲ", "ਸਾਲਿਡ", "ਵੇਸਟ", "ਦਾ", "ਵੱਖਰਾ", "ਸੰਗ੍ਰਹਿ", "ਅਤੇ", "ਟ੍ਰਾਂਸਪੋਰਟੇਸ਼ਨ", "'", "ਉੱਤੇ", "ਇੱਕ", "ਮਾਰਗਦਰਸ਼ਨ", "ਬੁੱਕਲਿਟ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "B-ORG", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਮੇਰੇ", "'", "ਤੇ", "ਇਕ", "ਹੋਰ", "ਕਿਤਾਬ", "ਲਿਖਣ", "ਲਈ", "ਹਾਰਪਰ", "ਕੋਲਿੰਸ", "ਨਾਲ", "ਉਨ੍ਹਾਂ", "ਦੇ", "ਤਾਜ਼ਾ", "ਕੰਮ", "ਲਈ", "ਸ਼ੁਭਕਾਮਨਾਵਾਂ", "ਦਿੰਦੀ", "ਹਾਂ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਸ਼ਵਾਲ", "ਦਾ", "ਪਹਿਲਾ", "ਦਿਨ", "ਈਦ", "ਉਲ", "-", "ਫ਼ਿਤਰ", "ਹੈ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਇੱਕ", "ਹਲਕੇ", "ਸ਼ੈਂਪੂ", "ਨਾਲ", "ਤੇਲ", "ਦੇ", "ਮਿਸ਼ਰਣ", "ਨੂੰ", "ਧੋਵੋ", "." ]	[ "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", "ਨਗਰ", "ਕੀਰਤਨ", "ਸ਼ਹਿਰ", "ਦੇ", "ਵੱਖ", "-", "ਵੱਖ", "ਬਾਜ਼ਾਰਾਂ", "ਚੋਂ", "ਹੁੰਦਾ", "ਹੋਇਆ", "ਗੁਰਦੁਆਰਾ", "ਸ਼ਹੀਦਗੰਜ", "ਬਾਬਾ", "ਦੀਪ", "ਸਿੰਘ", "ਜੀ", "ਪਹੁੰਚ", "ਸਮਾਪਤ", "ਹੋਇਆ", "।" ]	[ "O", "B-LOC", "B-LOC", "I-LOC", "I-LOC", "I-LOC", "I-LOC", "I-LOC", "I-LOC", "I-LOC", "I-LOC", "I-LOC", "I-LOC", "I-LOC", "I-LOC", "I-LOC", "I-LOC", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਭਗਵਾਨ", "ਬਸਵੇਸ਼ਵਾਰਾ", "ਦੇ", "ਵਚਨਾਂ", "ਦੀ", "ਚੰਗੇ", "ਸ਼ਾਸਨ", "ਵਜੋਂ", "ਵਿਆਖਿਆ", "ਕਰਦਿਆਂ", "ਪ੍ਰਧਾਨ", "ਮੰਤਰੀ", "ਨੇ", "ਕਿਹਾ", "ਕਿ", "ਵਿਕਾਸ", "ਦੇ", "ਫਲ", "ਜਿਵੇਂ", "ਘਰ", ",", "ਬਿਜਲੀ", ",", "ਸੜਕਾਂ", "ਬਿਨਾਂ", "ਭੇਦਭਾਵ", "ਦੇ", "ਸਾਰਿਆਂ", "ਤੱਕ", "ਪਹੁੰਚਣੇ", "ਚਾਹੀਦੇ", "ਹਨ", "।" ]	[ "O", "B-PER", "I-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the 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", "ਬਹੁਤ", "ਅਸਲੀਅਤ", "ਹੈ", "ਅਤੇ", "ਬਹੁਤ", "ਖ਼ਤਰਨਾਕ", "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.	[ "ਹੋਮ", "ਬਟਨ", "ਵਾਲੇ", "ਆਈਫੋਨ", "ਦੀ", "ਵਾਪਸੀ", "ਚਾਹੁੰਦੇ", "ਹਨ", "ਟਰੰਪ" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "B-PER" ]

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