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polyglots
/

Punjabi-NER

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train · 464k rows

instructions stringclasses 1 value	input sequencelengths 1 100	output sequencelengths 1 100
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਹਾਦਸੇ", "'", "ਚ", "ਮਾਰੇ", "ਗਏ", "ਵਿਅਕਤੀਆਂ", "ਦੀ", "ਪਛਾਣ", "107", "ਬਟਾਲੀਅਨ", "ਦੇ", "ਕਮਾਂਡੈਂਟ", "ਜੇ", ".", "ਆਰ", ".", "ਖਾਸਵਾਨ", ",", "ਸੈਕਿੰਡ", "-", "ਇੰਨ", "ਕਮਾਂਡ", "ਰਾਜੇਸ਼", "ਸ਼ਰਨ", ",", "ਇੰਸਪੈਕਟਰ", "ਅਸ਼ੋਕ", "ਯਾਦਵ", "ਅਤੇ", "ਸਹਾਇਕ", "ਸਬ", "-", "ਇੰਸਪੈਕਟਰ", "ਤੇ", "ਰੇਡੀਓ", "ਅਪਰੇਟਰ", "ਜਿਤੇਂਦਰ", "ਵਜੋਂ", "ਹੋਈ", "ਹੈ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "I-PER", "I-PER", "I-PER", "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਮਾਟੋ", "ਗਰੋੱਸੋ", "ਡੂ", "ਸੁਲ" ]	[ "B-LOC", "I-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.	[ "ਕਾਨੂੰਨ", "ਮੰਤਰੀ", "ਰਵੀ", "ਸ਼ੰਕਰ", "ਨੇ", "ਵੱਡੀਆਂ", "ਸਿਆਸੀ", "ਪਾਰਟੀਆਂ", "ਦੇ", "ਆਗੂਆਂ", "ਨੂੰ", "ਕਿਹਾ", "ਹੈ", "ਕਿ", "ਉਹ", "ਇਸ", "ਮੁੱਦੇ", "ਉਪਰ", "ਬਿੱਲ", "ਦੀਆਂ", "ਵਿਵਸਥਾਵਾਂ", "ਨੂੰ", "ਸੁਧਾਰਨ", "ਲਈ", "ਆਪਣੇ", "ਸੁਝਾਅ", "ਦੇਣ", "।" ]	[ "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਕਾਂਗਰਸੀਆਂ", "ਨੇ", "ਮਨਾਇਆ", "ਰਾਹੁਲ", "ਗਾਂਧੀ", "ਦਾ", "ਜਨਮ", "ਦਿਨ" ]	[ "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.	[ "ਇਨ੍ਹਾਂ", "ਵਿੱਚੋਂ", "ਤਿੰਨ", "ਐਂਬੂਲੈਂਸਾਂ", "ਰੂਪਨਗਰ", ",", "ਦੋ", "ਐਸਏਐਸ", "ਨਗਰ", ",", "ਤਿੰਨ", "ਸ਼ਹੀਦ", "ਭਗਤ", "ਸਿੰਘ", "ਨਗਰ", "ਅਤੇ", "ਇਕ", "ਹੁਸ਼ਿਆਰਪੁਰ", "ਦੇ", "ਲੋਕਾਂ", "ਨੂੰ", "ਸੇਵਾਵਾਂ", "ਮੁਹੱਈਆ", "ਕਰਾਉਣਗੀਆਂ", "।" ]	[ "O", "O", "O", "O", "B-LOC", "O", "O", "B-LOC", "I-LOC", "O", "O", "B-PER", "O", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਮਹਾਰਾਜਾ", "ਰਣਜੀਤ", "ਸਿੰਘ", "ਲਈ", "ਲਾਹੌਰ", "ਦੀ", "ਫ਼ਤਹਿ", "ਇਕ", "ਸਿਖਰਲਾ", "ਕਦਮ", "ਸੀ", ",", "ਜਿਸ", "ਨੇ", "ਉਸ", "ਨੂੰ", "ਇਕ", "ਜੰਗਜੂ", "ਸਰਦਾਰ", "ਦੀ", "ਥਾਂ", "ਮਹਾਰਾਜਾ", "ਬਣਾ", "ਦਿੱਤਾ", "।" ]	[ "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" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਆਜ਼ਾਦ", "ਨੇ", "ਕਿਹਾ", "ਕਿ", "ਰਾਹੁਲ", "ਗਾਂਧੀ", "'", "ਤੇ", "ਭਾਜਪਾ", ",", "ਆਰਐੱਸਐੱਸ", "ਦੇ", "ਲੋਕਾਂ", "ਨੇ", "ਇਕ", "ਯੋਜਨਾਬੱਧ", "ਸਾਜ਼ਿਸ਼", "ਤਹਿਤ", "ਹਮਲਾ", "ਕੀਤਾ", "।" ]	[ "B-ORG", "O", "O", "O", "B-PER", "I-PER", "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.	[ "Ivanka", "ਦੋ", "ਸਾਲ", "ਪਹਿਲਾਂ", "ਤੁਸੀਂ", "ਭਾਰਤ", "ਆਏ", "ਸੀ", ",", "ਉਦੋਂ", "ਤੁਸੀਂ", "ਕਿਹਾ", "ਸੀ", "ਕਿ", "ਮੈਂ", "ਦੁਬਾਰਾ", "ਭਾਰਤ", "ਆਉਣਾ", "ਚਾਹਾਂਗੀ", "।" ]	[ "B-PER", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਕੈਪਟਨ", "ਨੇ", "ਲੋਕਾਂ", "ਨੂੰ", "'", "ਸ਼ਹੀਦੀ", "ੁਪੰਦਰਵਾੜਾ", "'", "ਸ੍ਰੀ", "ਗੁਰੂ", "ਗੋਬਿੰਦ", "ਸਿੰਘ", "ਜੀ", "ਦੇ", "ਪਰਿਵਾਰ", "ਦੀ", "ਸ਼ਰਧਾਂਜਲੀ", "ਦੇ", "ਰੂਪ", "'", "ਚ", "ਮਨਾਉਣ", "ਅਤੇ", "ਮਹਾਨ", "ਬਲੀਦਾਨ", "ਦਾ", "ਸੰਦੇਸ਼", "ਵਿਸ਼ਵ", "ਭਰ", "'", "ਚ", "ਫੈਲਾਉਣ", "ਦੀ", "ਅਪੀਲ", "ਕੀਤੀ", "।" ]	[ "B-ORG", "O", "O", "O", "O", "B-PER", "O", "O", "O", "B-PER", "I-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the 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", "ਐਲਾਨ", "ਪੰਜਾਬ", "ਸ਼ਹਿਰੀ", "ਯੋਜਨਾ", "ਤੇ", "ਵਿਕਾਸ", "ਅਥਾਰਟੀ", "ਅਤੇ", "ਮਕਾਨ", "ਅਤੇ", "ਸ਼ਹਿਰੀ", "ਵਿਕਾਸ", "ਵਿਭਾਗ", "ਦੀ", "ਮੀਟਿੰਗ", "ਤੋਂ", "ਬਾਅਦ", "ਕੀਤਾ", "ਗਿਆ", "ਹੈ", "।" ]	[ "O", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "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.	[ "ਉਨ੍ਹਾਂ", "ਅਜਿਹੇ", "ਮਾਮਲਿਆਂ", "ਵਿੱਚ", "ਸਖ਼ਤ", "ਕਾਰਵਾਈ", "ਦੀ", "ਮੰਗ", "ਕੀਤੀ", "ਹੈ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "GDR", "ਘਪਲਾ", ":", "ਭੋਰੂਕਾ", "ਐਲੂਮੀਨੀਅਮ", "'", "ਤੇ", "10.65", "ਕਰੋੜ", "ਰੁਪਏ", "ਦਾ", "ਜੁਰਮਾਨਾ" ]	[ "O", "O", "O", "B-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਧਿਆਨ", "ਦੇਵੋ", "ਇਹ", "ਮੇਰੇ", "ਲਈ", "ਬਹੁਤ", "ਸਪੈਸ਼ਲ", "ਹਨ", "ਕਿਉਂਕਿ", "ਸਾਡੇ", "ਦੇ", "ਦਿਲ", "ਦੇ", "ਰਾਜੇ", "ਅਮਰਿੰਦਰ", "ਸਾਡੇ", "ਪਿਆਰੇ", "ਕੋਚ", "ਸੰਧੂ", "ਸਰ", "ਦਾ", "ਕਿਰਦਾਰ", "ਨਿਭਾ", "ਰਿਹਾ", "ਹਨ", "ਜਿਨ੍ਹਾਂ", "ਦੀ", "ਵਜ੍ਹਾ", "ਕਾਰਨ", "ਅਸੀਂ", "ਸਾਰੇ", "ਚੰਗੇ", "ਕ੍ਰਿਕਟਰ", "ਬਣੇ", "।" ]	[ "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "I-PER", "I-PER", "O", "O", "O", "O", "B-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.	[ "ਇਹ", "ਪੁਰਤਗਾਲੀ", "ਕਿਲ੍ਹਾ", "ਕੰਡੋਲਿਮ", "ਬੀਚ", "ਦੇ", "ਦੱਖਣ", "ਵਿੱਚ", "ਮੰਡੋਵੀਂ", "ਨਦੀ", "ਦੇ", "ਕਿਨਾਰੇ", "ਸਥਿਤ", "ਹੈ", "।" ]	[ "O", "O", "O", "B-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.	[ "ਤੇਲ", "ਤੇ", "ਗੈਸ", "ਦੇ", "ਨਿਵੇਸ਼", "ਬਾਰੇ", "ਮੋਦੀ", "ਵੱਲੋਂ", "ਮਾਹਰਾਂ", "ਨਾਲ", "ਵਿਚਾਰਾਂ" ]	[ "O", "O", "O", "O", "O", "O", "B-PER", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਬੈਕਸਟਾਪ", "ਦਾ", "ਮੰਤਵ", "ਯੂਰਪੀ", "ਸੰਘ", "ਦੇ", "ਮੈਂਬਰ", "ਆਇਰਲੈਂਡ", "ਅਤੇ", "ਬ੍ਰਿਟਿਸ਼", "ਸ਼ਾਸਨ", "ਦੇ", "ਉੱਤਰੀ", "ਆਇਰਲੈਂਡ", "ਦੇ", "ਵਿਚਕਾਰ", "ਬ੍ਰੈਕਸਿਟ", "ਦੁਆਰਾ", "ਸਰਹੱਦ", "ਨੂੰ", "ਖੁੱਲ੍ਹਾ", "ਰੱਖਣਾ", "ਹੈ", "।" ]	[ "O", "O", "O", "B-ORG", "O", "O", "O", "B-LOC", "O", "B-LOC", "I-LOC", "I-LOC", "I-LOC", "I-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਮੁਲਜ਼ਮਾਂ", "ਦੀ", "ਸ਼ਨਾਖ਼ਤ", "ਹਕੀਮ", "ਯਾਦਵ", "ਤੇ", "ਰਾਮੇਸ਼ਵਰ", "ਯਾਦਵ", "ਵਜੋਂ", "ਹੋਈ", "ਹੈ", "।" ]	[ "O", "O", "O", "B-PER", "I-PER", "O", "B-PER", "I-PER", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਉਨ੍ਹਾਂ", "ਨਾਲ", "ਇਸ", "ਫਿਲਮ", "ਵਿੱਚ", "ਰਣਵੀਰ", "ਸਿੰਘ", "ਅਤੇ", "ਦੀਪਿਕਾ", "ਪਾਦੂਕੋਣ", "ਵੀ", "ਅਹਿਮ", "ਭੂਮਿਕਾ", "ਨਿਭਾਉਂਦੇ", "ਨਜ਼ਰ", "ਆਉਣਗੇ", "।" ]	[ "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਉਹ", "ਸਭ", "ਕੁਝ", "ਗਲਤ", "ਕਰਦਾ", "ਹੈ", "." ]	[ "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਸਲਾਮੀ", "ਬੱਲੇਬਾਜ਼", "ਕਰੈਗ", "ਬ੍ਰੈਥਵਾਈਟ", "ਦੇ", "ਸ਼ਾਨਦਾਰ", "ਸੈਂਕੜੇ", "ਤੇ", "ਨਰਸਿੰਘ", "ਦੇਵਨਾਰਾਇਣ", "ਦੀਆਂ", "93", "ਦੌੜਾਂ", "ਨਾਲ", "ਵੈਸਟਇੰਡੀਜ਼", "'", "ਏ", "'", "ਤੇ", "ਭਾਰਤ", "'", "ਏ", "'", "ਵਿਚਕਾਰ", "ਅੱਜ", "ਇਥੇ", "ਦੂਜਾ", "ਅਣ", "-", "ਅਧਿਕਾਰਤ", "ਟੈਸਟ", "ਡਰਾਅ", "'", "ਤੇ", "ਸਮਾਪਤ", "ਹੋਇਆ", "।" ]	[ "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਅਡਵਾਨੀ", "ਏਸ਼ੀਆਈ", "ਸਨੂਕਰ", "ਚੈਂਪੀਅਨਸ਼ਿਪ", "ਦੇ", "ਫਾਈਨਲ", "'", "ਚ" ]	[ "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.	[ "ਉਨ੍ਹਾਂ", "ਕਿਹਾ", "ਕਿ", "ਨਰਿੰਦਰ", "ਮੋਦ" ]	[ "O", "O", "O", "B-PER", "I-PER" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਵਿਰਾਟ", "ਕੋਹਲੀ", "(", "ਕਪਤਾਨ", ")", ",", "ਰੋਹਿਤ", "ਸ਼ਰਮਾ", ",", "ਸ਼ਿਖਰ", "ਧਵਨ", ",", "ਲੋਕੇਸ਼", "ਰਾਹੁਲ", ",", "ਸ਼੍ਰੇਅਸ", "ਅਈਅਰ", ",", "ਮਨੀਸ਼", "ਪਾਂਡੇ", ",", "ਕੇਦਾਰ", "ਜਾਧਵ", ",", "ਰਿਸ਼ਭ", "ਪੰਤ", ",", "ਸ਼ਿਵਮ", "ਦੂਬੇ", ",", "ਰਵਿੰਦਰ", "ਜਡੇਜਾ", ",", "ਯੁਜਵਿੰਦਰ", "ਸਿੰਘ", "ਚਹਿਲ", ",", "ਕੁਲਦੀਪ", "ਯਾਦਵ", ",", "ਨਵਦੀਪ", "ਸੈਣੀ", ",", "ਜਸਪ੍ਰਰੀਤ", "ਬੁਮਰਾਹ", ",", "ਸ਼ਾਰਦੁਲ", "ਠਾਕੁਰ", ",", "ਮੁਹੰਮਦ", "ਸ਼ਮੀ", "।" ]	[ "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", "I-PER", "O", "B-PER", "I-PER", "O", "B-PER", "I-PER", "O", "O", "B-PER", "I-PER", "I-PER", "O", "O", "B-PER", "I-PER", "O", "B-PER", "I-PER", "I-PER", "O", "B-PER", "I-PER", "O", "B-PER", "I-PER", "O", "B-PER", "I-PER", "O", "B-PER", "I-PER", "O", "B-PER", "I-PER", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਗਰੁੱਪ", "ਸੀ", ":", "ਬੰਗਲਾਦੇਸ਼", ",", "ਕੈਨੇਡਾ", ",", "ਇੰਗਲੈਂਡ", ",", "ਨਾਮੀਬੀਆ" ]	[ "O", "O", "O", "B-LOC", "O", "B-LOC", "O", "B-LOC", "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.	[ "ਚੀਨ", "ਇਸ", "ਨੂੰ", "ਆਪਣੇ", "ਵੱਡੇ", "ਖ਼ਿੱਤੇ", "ਡੋਂਗਲਾਂਗ", "ਦਾ", "ਹਿੱਸਾ", "ਦੱਸਦਾ", "ਹੈ", "।" ]	[ "B-LOC", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "(", "ਏ", "ਪੀ", "ਫੋਟੋ", "/", "ਜੈਕਲਿਨ", "ਮਾਰਟਿਨ", ")" ]	[ "O", "B-ORG", "I-ORG", "I-ORG", "O", "B-PER", "I-PER", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਮੁੱਖ", "ਮੰਤਰੀ", "ਨੇ", "ਆਪਣੇ", "ਪੱਤਰ", "ਵਿੱਚ", "ਕਿਹਾ", "ਹੈ", "ਕਿ", "ਹਿੰਸਾ", "ਨਾਲ", "ਪ੍ਰਭਾਵਿਤ", "ਅਫਗਾਨਿਸਤਾਨ", "ਦੇ", "ਸਿੱਖ", "ਪਰਿਵਾਰਾਂ", "ਦੀ", "ਸੁਰੱਖਿਆ", ",", "ਰਾਹਤ", "ਅਤੇ", "ਮੁੜ", "ਵਸੇਬੇ", "ਦੇ", "ਉਦੇਸ਼", "ਨਾਲ", "ਵਿਦੇਸ਼", "ਮਾਮਲਿਆਂ", "ਦੇ", "ਮੰਤਰਾਲੇ", "ਦੇ", "ਪੱਧਰ", "'", "ਤੇ", "ਕਦਮ", "ਚੁੱਕੇ", "ਜਾਣ", "ਦੀ", "ਜ਼ਰੂਰਤ", "ਹੈ", "ਤਾਂ", "ਜੋ", "ਉਨ•ਾਂ", "ਨੂੰ", "ਨਿਆਂ", "ਯਕੀਨੀ", "ਬਣਾਇਆ", "ਜਾ", "ਸਕੇ", "।" ]	[ "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", "B-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਪੁਲਿਸ", "ਪਾਰਟੀ", "ਨੇ", "ਵਾਰਦਾਤ", "ਵਿਚ", "ਵਰਤੀ", "ਗਈ", "ਹਥੌੜੀ", "ਬਰਾਮਦ", "ਕਰ", "ਲਈ", "ਹੈ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਇਹ", "ਫਿਲਮ", "ਸਲਮਾਨ", "ਖਾਨ", "ਪ੍ਰੋਡਕਸ਼ਨ", "ਦੇ", "ਬੈਨਰ", "ਹੇਠਾਂ", "ਬਣ", "ਰਹੀ", "ਹੈ", "।" ]	[ "O", "O", "B-ORG", "I-ORG", "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.	[ "ਪ੍ਰਤਿਭਾਸ਼ਾਲੀ", "ਸਪਿੰਨਰ", "ਕੁਲਦੀਪ", "ਯਾਦਵ", "ਆਈਸੀਸੀ", "ਟੀ", "-", "20", "ਗੇਂਦਬਾਜ਼ਾਂ", "ਦੀ", "ਰੈਂਕਿੰਗਜ਼", "ਵਿੱਚ", "ਦੂਜੇ", "ਸਥਾਨ", "'", "ਤੇ", "ਪਹੁੰਚ", "ਗਿਆ", "ਹੈ", ",", "ਜਦਕਿ", "ਭਾਰਤ", "ਦੋ", "ਰੈਂਕਿੰਗ", "ਅੰਕ", "ਕੱਟੇ", "ਜਾਣ", "ਦੇ", "ਬਾਵਜੂਦ", "ਟੀਮ", "ਰੈਂਕਿੰਗਜ਼", "ਵਿੱਚ", "ਪਾਕਿਸਤਾਨ", "ਮਗਰੋਂ", "ਦੂਜੇ", "ਸਥਾਨ", "'", "ਤੇ", "ਕਾਇਮ", "ਹੈ", "।" ]	[ "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਇਸ", "ਤੋਂ", "ਉਪਰੰਤ", "ਵੱਖ", "-", "ਵੱਖ", "ਸਕੂਲਾਂ", "ਦੇ", "ਵਿਦਿਆਰਥੀਆਂ", "ਵੱਲੋਂ", "ਮਾਸ", "ਪੀ", "ਟੀ", "ਸ਼ੋਅ", "ਅਤੇ", "ਸਭਿਆਚਾਰਕ", "ਪ੍ਰੋਗਰਾਮ", "ਪੇਸ਼", "ਕੀਤਾ", "ਗਿਆ", "।" ]	[ "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.	[ "ਪਾਕਿਸਤਾਨ", "ਦੀ", "ਸਾਬਕਾ", "ਵਿਦੇਸ਼", "ਮੰਤਰੀ", "ਹਿਨਾ", "ਰੱਬਾਨੀ", "ਖਾਰ", "ਵੱਲੋਂ", "ਅਗਲੇ", "ਮਹੀਨੇ", "ਹੋ", "ਰਹੀਆਂ", "ਪਾਰਲੀਮਾਨੀ", "ਚੋਣਾਂ", "ਲੜਨ", "ਦੇ", "ਅਸਾਰ", "ਨਹੀਂ", "ਹਨ", "ਕਿਉਂਕਿ", "ਉਸ", "ਦੇ", "ਪਿਤਾ", "ਉਸ", "ਹਲਕੇ", "ਤੋਂ", "ਉਮੀਦਵਾਰ", "ਹਨ", ",", "ਜਿਸ", "ਤੋਂ", "ਉਹ", "ਪਹਿਲਾਂ", "ਚੋਣ", "ਲੜਦੀ", "ਰਹੀ", "ਹੈ", "।" ]	[ "O", "O", "O", "O", "O", "B-PER", "I-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the 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", "ਕਮੇਟੀ", "ਵਿਚ", "ਵਿੱਤ", "ਕਮਿਸ਼ਨਰ", "ਮਾਲ", ",", "ਪ੍ਰਮੁੱਖ", "ਸਕੱਤਰ", "ਦਿਹਾਤੀ", "ਵਿਕਾਸ", "ਤੇ", "ਪੰਚਾਇਤ", "ਅਤੇ", "ਪ੍ਰਮੁੱਖ", "ਸਕੱਤਰ", "ਵਿੱਤ", "ਹੋਣਗੇ", "।" ]	[ "O", "O", "O", "B-ORG", "I-ORG", "O", "O", "O", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "O", "O", "B-ORG", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਇਸਪਾਤ", "ਮੰਤਰਾਲਾ", "ਹਾਊਸਿੰਗ", "ਤੇ", "ਇਮਾਰਤ", "ਨਿਰਮਾਣ", "ਅਤੇ", "ਹਵਾਬਾਜ਼ੀ", "ਸੈਕਟਰਾਂ", "ਵਿੱਚ", "ਇਸਪਾਤ", "ਦੀ", "ਵਰਤੋਂ", "ਨੂੰ", "ਉਤਸ਼ਾਹਿਤ", "ਕਰਨ", "ਲਈ", "ਇਸਪਾਤ", "ਮੰਤਰਾਲਾ", "ਆਤਮਨਿਰਭਰ", "ਭਾਰਤ", "ਬਾਰੇ", "ਇੱਕ", "ਵੈਬੀਨਾਰ", "ਆਯੋਜਿਤ", "ਕਰੇਗਾ", "ਇਸਪਾਤ", "ਮੰਤਰਾਲਾ", ",", "ਭਾਰਤੀ", "ਉਦਯੋਗ", "ਕਨਫੈਡਰੇਸ਼ਨ", "(", "ਸੀਆਈਆਈ", ")", "ਦੇ", "ਸਹਿਯੋਗ", "ਨਾਲ", ",", "18", "ਅਗਸਤ", ",", "2020", "ਨੂੰ", "ਹਾਊਸਿੰਗ", "ਅਤੇ", "ਸ਼ਹਿਰੀ", "ਮਾਮਲੇ", "ਮੰਤਰਾਲੇ", "ਅਤੇ", "ਸ਼ਹਿਰੀ", "ਹਵਾਬਾਜ਼ੀ", "ਦੇ", "ਨਾਲ", "ਆਤਮਨਿਰਭਰ", "ਭਾਰਤ", "ਤਹਿਤ", "ਹਾਊਸਿੰਗ", "ਤੇ", "ਇਮਾਰਤ", "ਨਿਰਮਾਣ", "ਅਤੇ", "ਹਵਾਬਾਜ਼ੀ", "ਸੈਕਟਰਾਂ", "ਵਿੱਚ", "ਇਸਪਾਤ", "ਦੀ", "ਵਰਤੋਂ", "ਨੂੰ", "ਉਤਸ਼ਾਹਿਤ", "ਕਰਨ", "ਲਈ", "ਇੱਕ", "ਡਿਜੀਟਲ", "ਸੈਮੀਨਾਰ", "ਦਾ", "ਆਯੋਜਨ", "ਕਰ", "ਰਿਹਾ", "ਹੈ", "।" ]	[ "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "\"", "ਉਹ", "ਆਪਣੇ", "ਟਰੈਕ", "\"", "\"", "ਪੈਗਾਮ", "\"", "\"", "ਨਾਲ", "ਪ੍ਰਫੁੱਲਤ", "ਹੋ", "ਕੇ", "\"", "\"", "ਡਾਰੂ", "\"", "\"", ",", "\"", "\"", "ਮਾਧਾਨੀਆ", "\"", "\"", ",", "\"", "\"", "ਖੇਦਨ", "ਦੀਨ", ",", "\"", "\"", "ਸੁਨੀਧਿ", "ਚੌਹਾਨ", "ਅਤੇ", "ਕਈ", "ਹੋਰ", "ਜਿਵੇਂ", "\"", "\"", "ਮੇਲ", "ਕਰਾ", "ਦੇ", "\"", "\"", "ਅਤੇ", "\"", "\"", "ਦਿਲਦਾਰੀਆਂ", "\"", "\"", "ਵਰਗੇ", "ਗਾਣੇ", "ਚਲਾਉਂਦੇ", "ਹਨ", "।", "\"" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਇਨ੍ਹਾਂ", "ਗੱਲਾਂ", "ਦਾ", "ਪ੍ਰਗਟਵਾ", "ਸਥਾਨਕ", "ਸਰਕਾਰਾਂ", "ਬਾਰੇ", "ਮੰਤਰੀ", "ਸ੍ਰੀ", "ਅਨਿਲ", "ਜੋਸ਼ੀ", "ਨੇ", "ਕੀਤਾ", "।" ]	[ "O", "O", "O", "O", "O", "O", "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.	[ "ਪਰ", "ਭਾਰਤ", "ਨੇ", "ਪਾਕਿਸਤਾਨ", "ਦੇ", "ਇਨ੍ਹਾਂ", "ਇਲਜ਼ਾਮਾਂ", "ਨੂੰ", "ਖਾਰਿਜ", "ਕਰ", "ਦਿੱਤਾ", "ਹੈ", "।" ]	[ "O", "B-LOC", "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.	[ "ਸ਼ਰਨਜੀਤ", "ਸਿੰਘ", "ਢਿੱਲੋਂ", "ਮੁੱਖ", "ਮਹਿਮਾਨ", "ਵਜੋਂ", "ਸ਼ਾਮਲ", "ਹੋਏ", "।" ]	[ "B-PER", "I-PER", "I-PER", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "%", "1", "ਮੌਜੂਦ", "ਹੈ", ",", "ਪਰ", "ਫੋਲਡਰ", "ਨਹੀਂ", "ਹੈ", "।", "ਯੂਜ਼ਰ", "%", "2", "ਲਾਗਇਨ", "ਨਹੀਂ", "ਕਰ", "ਸਕੇਗਾ", "।" ]	[ "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.	[ "ਕਰੁਥਿਕਾ", "ਜਯਾਕੁਮਾਰ", "ਇੱਕ", "ਭਾਰਤੀ", "ਫ਼ਿਲਮ", "ਅਭਿਨੇਤਰੀ", "ਅਤੇ", "ਕਲਾਸੀਕਲ", "ਡਾਂਸਰ", "ਹੈ", "।" ]	[ "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.	[ "ਕੱਲ੍ਹ", "ਦੇ", "ਕਾਰੋਬਾਰ", "ਵਿਚ", "ਡਾਓ", ",", "ਨੈਸਡੈਕ", "ਅਤੇ", "ਐਸ", ".", "ਐਂਡ", ".", "ਪੀ", ".", "500", "ਵਾਧੇ", "'", "ਤੇ", "ਬੰਦ", "ਹੋਏ", "।" ]	[ "O", "O", "O", "O", "B-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" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਉਤਰਾਖੰਡ", "ਸਰਕਾਰ", "ਨੇ", "ਮਾਮਲੇ", "ਦੀ", "ਜਾਂਚ", "ਦੇ", "ਹੁਕਮ", "ਦਿੱਤੇ", "ਹਨ", "।" ]	[ "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.	[ "ਡੀ", "ਐਨ", ".", "ਐਨਗਰ" ]	[ "B-PER", "I-PER", "I-PER", "I-PER" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਮ੍ਰਿਤਕ", "ਦੀ", "ਪਛਾਣ", "ਕੁਲਵੰਤ", "ਸਿੰਘ", "(", "47", ")", "ਵਾਸੀ", "ਖੇੜੀ", "ਥਾਣਾ", "ਸਦਰ", "ਸੁਨਾਮ", "ਵਜੋਂ", "ਹੋਈ", "ਸੀ", "।" ]	[ "O", "O", "O", "B-PER", "I-PER", "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.	[ "ਯਹੋਵਾਹ", "ਨੇ", "ਇਹ", "ਵੀ", "ਨਿਸ਼ਚਿਤ", "ਕੀਤਾ", "ਕਿ", "ਸਾਨੂੰ", "ਸਹੀ", "ਮਾਰਗ", "-", "ਦਰਸ਼ਨ", "ਅਤੇ", "ਨਿਰਦੇਸ਼ਨ", "ਹਾਸਲ", "ਹੋਵੇ", "ਤਾਂ", "ਜੋ", "ਅਸੀਂ", "ਆਪਣੀ", "ਪਾਪੀ", "ਅਤੇ", "ਅਪੂਰਣ", "ਸਥਿਤੀ", "ਦੇ", "ਬਾਵਜੂਦ", "ਵੀ", "ਜੀਵਨ", "ਨੂੰ", "ਸਫ਼ਲ", "ਬਣਾ", "ਸਕੀਏ", "।", "-", "ਜ਼ਬੂਰ", "119:105.2", "ਤਿਮੋਥਿਉਸ", "3:16", "." ]	[ "B-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਭੂਪਤੀ", "ਅਤੇ", "ਲਿੰਡਸਟੋਰ", "ਨੂੰ", "ਸਪੇਨ", "ਦੇ", "ਡੇਨੀਅਲ", "ਗਿਮੋਨੋ", "ਟਰੈਵਰ", "ਅਤੇ", "ਇਟਲੀ", "ਦੇ", "ਪਾਓਲੋੋ", "ਲੋਰੈਜੀ", "ਨੇ", "ਮਹਿਜ਼", "59", "ਮਿੰਟਾਂ", "ਵਿੱਚ", "2", "-", "6,6", "-", "3,10", "-", "8", "ਨਾਲ", "ਹਰਾ", "ਕੇ", "ਮੁਕਾਬਲੇ", "ਤੋਂ", "ਬਾਹਰ", "ਕਰ", "ਦਿੱਤਾ", "।" ]	[ "B-PER", "O", "B-PER", "O", "B-LOC", "O", "B-PER", "I-PER", "O", "O", "B-LOC", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਮੌਸਮ", "ਵਿਭਾਗ", "ਅਨੁਸਾਰ", "ਨਮੀ", "ਦਾ", "ਪੱਧਰ", "74", "ਫੀਸਦੀ", "ਦਰਜ", "ਕੀਤਾ", "ਗਿਆ", "।" ]	[ "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਉਸ", "ਨੂੰ", "ਫੁੱਟਬਾਲ", "ਦੇ", "ਸਭ", "ਤੋਂ", "ਵੱਡੇ", "ਖਿਡਾਰੀਆਂ", "ਵਿੱਚੋਂ", "ਇੱਕ", "ਮੰਨਿਆ", "ਜਾਂਦਾ", "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.	[ "ਦਿਲਰੁਵਾਨ", "ਪਰੇਰਾ", "(", "21", "ਨਾਬਾਦ", ")", "ਨੇ", "ਛੇਵੀਂ", "ਵਿਕਟ", "ਲਈ", "ਕਰੁਣਾਰਤਨੇ", "ਨਾਲ", "ਰਲ਼", "ਕੇ", "23", "ਦੌੜਾਂ", "ਬਣਾਈਆਂ", "।" ]	[ "B-PER", "I-PER", "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.	[ "ਉਨ੍ਹਾਂ", "ਨੇ", "ਸ੍ਰੀ", "ਗੁਰੂ", "ਨਾਨਕ", "ਦੇਵ", "ਜੀ", "ਦੇ", "550ਵੇਂ", "ਪ੍ਰਕਾਸ਼", "ਪੁਰਬ", "ਦੇ", "ਪਵਿੱਤਰ", "ਮੌਕੇ", "ਨੂੰ", "ਸਮਰਪਿਤ", "'", "ਏਮਜ਼", "'", "ਦੀ", "ਦੂਜੀ", "ਸੰਸਥਾ", "ਲੁਧਿਆਣਾ", "ਜਾਂ", "ਜਲੰਧਰ", "ਵਿਖੇ", "ਸਥਾਪਤ", "ਕਰਨ", "ਦਾ", "ਪ੍ਰਸਤਾਵ", "ਪੇਸ਼", "ਕੀਤਾ", "।" ]	[ "O", "O", "O", "B-PER", "I-PER", "I-PER", "O", "O", "O", "B-LOC", "I-LOC", "I-LOC", "I-LOC", "I-LOC", "O", "O", "O", "B-ORG", "O", "O", "O", "O", "B-LOC", "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.	[ "ਬੀਗਲ", "ਸਰਵਿਸ", "ਸ਼ੁਰੂName" ]	[ "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.	[ "ਅਵਨੀਤ", "ਕੌਰ", "ਨੂੰ", "ਹਦਾਇਤ", "ਕੀਤੀ", "ਕਿ", "ਉਹ", "ਮੈਡੀਕਲ", "ਅਤੇ", "ਪੈਰਾ", "ਮੈਡੀਕਲ", "ਸਟਾਫ", "ਦੀਆਂ", "ਖਾਲੀ", "ਅਸਾਮੀਆਂ", "ਦੀ", "ਫਾਈਲ", "ਪੇਸ਼", "ਕਰਨ", "ਤਾਂ", "ਕਿ", "ਸਟਾਫ", "ਦੀ", "ਘਾਟ", "ਨੂੰ", "ਦੂਰ", "ਕਰਨ", "ਲਈ", "ਇਹ", "ਫਾਈਲ", "ਅਗਲੀ", "ਕੈਬਨਿਟ", "ਮੀਟਿੰਗ", "ਵਿੱਚ", "ਰੱਖੀ", "ਜਾਵੇਗੀ", "।" ]	[ "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਬਆਲ", "ਉਪਾਸਨਾ", "ਦੀ", "ਵਿਅਰਥਤਾ", "ਕਿਵੇਂ", "ਪ੍ਰਗਟ", "ਕੀਤੀ", "ਜਾਂਦੀ", "ਹੈ", "?" ]	[ "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਉਤਸ਼ਾਹ", "ਨਾਲ", "ਮਨਾਈ", "ਈਦ" ]	[ "O", "O", "O", "B-PER" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਭਾਰਤ", "ਨੇ", "ਪਾਕਿਸਤਾਨ", "ਤੋਂ", "ਮੋਸਟ", "ਫੇਵਰਡ", "ਨੇਸ਼ਨ", "ਦਾ", "ਦਰਜਾ", "ਵੀ", "ਖੋਹ", "ਲਿਆ", "।" ]	[ "B-LOC", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਲੈਫਟੀਨੈਂਟ", "ਜਨਰਲ", "ਅਨਿਲ", "ਭੱਟ", "ਨੂੰ", "ਜੰਮੂ", "ਅਤੇ", "ਕਸ਼ਮੀਰ", "'", "ਚ", "ਉਨ੍ਹਾਂ", "ਦੀ", "ਅਗਵਾਈ", "ਦੌਰਾਨ", "ਅੱਤਵਾਦ", "ਰੋਧੀ", "ਮੁਹਿੰਮਾਂ", "ਦੇ", "ਸਫਲ", "ਸੰਚਾਲਨ", "ਲਈ", "'", "ਉੱਤਮ", "ਯੁੱਧ", "ਸਰਵਿਸ", "ਮੈਡਲ", "'", "ਨਾਲ", "ਰਾਸ਼ਟਰਪਤੀ", "ਰਾਮ", "ਨਾਥ", "ਕੋਵਿੰਦ", "ਨੇ", "ਸਨਮਾਨਿਤ", "ਕੀਤਾ", "।" ]	[ "O", "O", "B-PER", "I-PER", "O", "B-LOC", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "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.	[ "ਸ਼ਨਾਖ਼ਤੀ", "ਕਾਰਡ", "ਦਿੱਤੇ", "ਗਏ", "।" ]	[ "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਕਾਂਗਰਸੀ", "ਵਰਕਰਾਂ", "ਨੇ", "ਕੇਂਦਰ", "ਸਰਕਾਰ", "ਦਾ", "ਪੁਤਲਾ", "ਸਾੜਿਆ" ]	[ "B-ORG", "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.	[ "ਇਸ", "ਮਗਰੋਂ", "ਮੁਲਜ਼ਮ", "ਨੇ", "ਪੰਜਾਬ", "ਤੇ", "ਹਰਿਆਣਾ", "ਹਾਈ", "ਕੋਰਟ", "ਵਿੱਚ", "ਅਗਾਊਂ", "ਜ਼ਮਾਨਤ", "ਲਈ", "ਅਰਜ਼ੀ", "ਦਾਇਰ", "ਕੀਤੀ", "ਸੀ", "।" ]	[ "O", "O", "O", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਸੰਗਰੂਰ", "ਨੇ", "ਤਰਨਤਾਰਨ", "ਨੂੰ", "9", "-", "1", "ਦੇ", "ਫਰਕ", "ਨਾਲ", "ਹਰਾ", "ਕੇ", "ਤੀਸਰਾ", "ਸਥਾਨ", "ਹਾਸਲ", "ਕੀਤਾ", "।" ]	[ "B-PER", "O", "B-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਬਿਰਲਾ", "-", "ਸਹਾਰਾ", "ਦਸਤਾਵੇਜ਼", "ਕਿਸੇ", "ਪ੍ਰਧਾਨ", "ਮੰਤਰੀ", "ਵਿਰੁੱਧ", "ਸਾਹਮਣੇ", "ਆਏ", "ਹੁਣ", "ਤੱਕ", "ਦੇ", "ਸਭ", "ਤੋਂ", "ਮਜ਼ਬੂਤ", "ਸਬੂਤ", "ਹਨ", "।" ]	[ "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਉਸਨੇ", "ਅੱਗੇ", "ਕਿਹਾ", "ਕਿ", "ਬਿਓਰੋ", "ਨੇ", "ਇੱਕ", "ਵਿਸ਼ੇਸ਼", "ਚੈਕਿੰਗ", "ਦੌਰਾਨ", "ਘੁਲਿਆਣੀ", "ਗੈਸ", "ਕਪੂਰਥਲਾ", "ਦੇ", "ਮਾਲਕ", "ਵਿਨੈ", "ਘੁਲਿਆਣੀ", "ਅਤੇ", "ਉਸਦੇ", "ਸਹਾਇਕ", "ਖ਼ਿਲਾਫ਼", "ਖਪਤਕਾਰਾਂ", "ਨੂੰ", "ਘੱਟ", "ਗੈਸ", "ਵਾਲੇ", "17", "ਸਿਲੰਡਰਾਂ", "ਦੀ", "ਸਪਲਾਈ", "ਕਰਨ", "ਦੇ", "ਦੋਸ਼", "ਵਿੱਚ", "ਥਾਣਾ", "ਸਿਟੀ", "ਕਪੂਰਥਲਾ", "ਵਿਖੇ", "ਜ਼ਰੂਰੀ", "ਵਸਤਾਂ", "ਐਕਟ", "ਤਹਿਤ", "ਕੇਸ", "ਦਰਜ", "ਕਰਵਾਇਆ", "ਹੈ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਨਵੰਬਰ", "-", "ਦਸੰਬਰ", "ਵਿਚ", "ਹੋ", "ਸਕਦੀਆਂ", "ਹਨ", "ਚੋਣਾਂ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਪੰਜਾਬ", "ਪ੍ਰਦੂਸ਼ਣ", "ਰੋਕਥਾਮ", "ਬੋਰਡ", "ਵੱਲੋਂ", "ਫੋਰਟਿਸ", "ਹਸਪਤਾਲ", "ਨੂੰ", "10", "ਲੱਖ", "ਰੁਪਏ", "ਜੁਰਮਾਨਾ" ]	[ "B-ORG", "O", "O", "O", "O", "B-LOC", "I-LOC", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "'", "ਡਾਅਨ", "'", "ਅਖ਼ਬਾਰ", "ਦੀ", "ਰਿਪੋਰਟ", "ਅਨੁਸਾਰ", "ਹਾਫਿਜ਼", "ਸਈਦ", "ਦੀ", "ਪਾਬੰਦੀਸ਼ੁਦਾ", "ਜਥੇਬੰਦੀ", "ਜਮਾਤ", "-", "ਉਦ", "-", "ਦਾਵਾ", "ਦੇ", "ਸਿਆਸੀ", "ਵਿੰਗ", "ਮਿੱਲੀ", "ਮੁਸਲਿਮ", "ਲੀਗ", "(", "ਐੱਮਐੱਮਐੱਲ", ")", "ਨੇ", "ਆਪਣੇ", "ਧੜੇ", "'", "ਅੱਲ੍ਹਾ", "-", "ਓ", "-", "ਅਕਬਰ", "ਤਹਿਰੀਕ", "'", "ਦੇ", "ਬੈਨਰ", "ਹੇਠ", "ਹੇਠ", "260", "ਉਮੀਦਵਾਰ", "ਕੌਮੀ", "ਤੇ", "ਸੂਬਾਈ", "ਚੋਣਾਂ", "ਲਈ", "ਉਤਾਰੇ", "ਹਨ", "।" ]	[ "O", "B-ORG", "O", "O", "O", "O", "O", "B-PER", "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", "O", "B-ORG", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਸਿੰਘ", "ਨੇ", "ਦਸਿਆ", "ਕਿ", "ਕੁਝ", "ਨਮੂਨੇ", "ਵੀ", "ਜਲੰਧਰ", "ਭੇਜੇ", "ਗਏ", "ਹਨ", "ਅਤੇ", "ਉਨ੍ਹਾਂ", "ਦੀ", "ਰੀਪੋਰਟ", "ਦੀ", "ਉਡੀਕ", "ਕੀਤੀ", "ਜਾ", "ਰਹੀ", "ਹੈ", "।" ]	[ "B-PER", "O", "O", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਪੂਰੇ", "ਦੇਸ਼", "ਨੇ", "ਦੇਖਿਆ", "ਕਿ", "ਸਾਡੇ", "ਕੋਲ", "ਸਿਰਫ਼", "ਇਕ", "ਰਾਣੀ", "ਲਕਸ਼ਮੀ", "ਬਾਈ", "ਜਾਂ", "ਇਕ", "ਜੀਜਾ", "ਮਾਤਾ", "ਨਹੀਂ", "ਸਗੋਂ", "ਹਰ", "ਪਿੰਡ", "ਇੱਕ", "ਰਾਣੀ", "ਲਕਸ਼ਮੀ", "ਬਾਈ", "ਜਾਂ", "ਇੱਕ", "ਜੀਜਾ", "ਮਾਤਾ", "ਨੂੰ", "ਜਨਮ", "ਦੇ", "ਸਕਦਾ", "ਹੈ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "I-PER", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "B-PER", "I-PER", "I-PER", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਸੀਬੀਆਈ", "ਵੱਲੋਂ", "ਪੇਸ਼", "ਹੋਏ", "ਵਧੀਕ", "ਸਾਲਿਸਟਰ", "ਜਨਰਲ", "ਪੀਐਸ", "ਪਤਵਾਲੀਆ", "ਨੇ", "ਚੀਫ਼", "ਜਸਟਿਸ", "ਐਚਐਲ", "ਦੱਤੂ", "ਦੀ", "ਅਗਵਾਈ", "ਵਾਲੇ", "ਬੈਂਚ", "ਨੂੰ", "ਇਨ੍ਹਾਂ", "ਦੋਵਾਂ", "ਪਟੀਸ਼ਨਾਂ", "'", "ਤੇ", "ਭਲਕੇ", "ਸੁਣਵਾਈ", "ਕਰਨ", "ਦੀ", "ਅਪੀਲ", "ਕੀਤੀ", "।" ]	[ "B-ORG", "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "B-PER", "I-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਪੰਜਾਬ", "ਹਰਿਆਣਾ", "ਹਾਈ", "ਕੋਰਟ", "ਨੇ", "ਨਿਵੇਕਲਾ", "ਹੁਕਮ", "ਸੁਣਾਉਂਦਿਆਂ", "ਧੋਖਾਧੜੀ", "ਕੇਸ", "ਦੇ", "ਮੁਲਜ਼ਮ", "ਨੂੰ", "ਰਜਿਸਟਰਾਰ", "ਜਨਰਲ", "ਕੋਲ", "ਇਕ", "ਲੱਖ", "ਰੁਪਏ", "ਦੀ", "ਰਾਸ਼ੀ", "ਜਮਾਂ", "ਕਰਾਉਣ", "ਲਈ", "ਕਿਹਾ", "ਹੈ", "।" ]	[ "B-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "Indian", "Air", "Force", "Day", "2020", ":", "ਜਾਣੋ", "ਕੀ", "ਹੈ", "ਹਵਾਈ", "ਫੌਜ", "ਦਾ", "ਇਤਿਹਾਸ" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਯੂਜਰਸ", "ਇਸ", "ਐਪ", "ਨੂੰ", "ਗੂਗਲ", "ਪਲੇਅ", "ਸਟੋਰ", "ਜਾਂ", "ਵਿੰਡੋਜ਼", "ਸਟੋਰ", "ਤੋਂ", "ਫਰੀ", "ਵਿੱਚ", "ਡਾਊਨਲੋਡ", "ਕਰ", "ਸਕਦੇ", "ਹੋ", "।" ]	[ "O", "O", "O", "O", "B-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਇਸ", "ਸਮੇਂ", "ਝੋਨੇ", "ਦੀ", "ਕਾਸ਼ਤ", "28", "ਲੱਖ", "ਹੈਕਟੇਅਰ", "ਰਕਬੇ", "ਵਿੱਚ", "ਹੁੰਦੀ", "ਹੈ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "'", "ਹਿੰਦੁਸਤਾਨ", "ਟਾਈਮਜ਼", "'", "ਤੇ", "'", "ਐਡੀਟਰਜੀ", "'", "ਦੀ", "ਇਸ", "ਭਾਈਵਾਲੀ", "ਦੀ", "ਡਿਜੀਟਲ", "ਵਿਡੀਓ", "ਕਵਰੇਜ", "ਭਾਰਤ", "ਵਿੱਚ", "ਆਪਣੀ", "ਕਿਸਮ", "ਦੀ", "ਸਭ", "ਤੋਂ", "ਪਹਿਲਕਦਮੀ", "ਹੋਵੇ", "।" ]	[ "O", "B-ORG", "I-ORG", "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.	[ "ਉਨ੍ਹਾਂ", "ਕਿਹਾ", ",", "'", "ਪਾਕਿਸਤਾਨ", "ਦੇ", "ਪਰਮਾਣੂ", "ਪ੍ਰੋਗਰਾਮ", "ਨਾਲ", "ਦੱਖਣੀ", "ਏਸ਼ੀਆ", "ਵਿੱਚ", "ਤਾਕਤ", "ਦਾ", "ਤਵਾਜ਼ਨ", "ਬਣ", "ਗਿਆ", "ਸੀ", "ਤੇ", "ਪਾਕਿਸਤਾਨ", "ਅਮਨ", "ਦਾ", "ਪ੍ਰਤੀਕ", "ਬਣ", "ਕੇ", "ਉਭਰਿਆ", "ਸੀ", "ਜਿਸ", "ਨਾਲ", "ਇਸ", "ਖੇਤਰ", "ਦੇ", "ਹੋਰਨਾਂ", "ਛੋਟੇ", "ਮੁਲਕਾਂ", "ਨੂੰ", "ਵੀ", "ਰਾਹਤ", "ਮਿਲੀ", "ਸੀ", "।" ]	[ "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "B-LOC", "I-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਇਸ", "ਸਬੰਧੀ", "ਸਿਹਤ", "ਵਿਭਾਗ", "ਵਲੋਂ", "ਨੋਟੀਫ਼ੀਕੇਸ਼ਨ", "ਵੀ", "ਜਾਰੀ", "ਕੀਤਾ", "ਗਿਆ", "ਹੈ", "।" ]	[ "O", "O", "B-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਵਿਧੁ", "ਵਿਨੋਦ", "ਚੋਪੜਾ", "ਇਸ", "ਦੇ", "ਪ੍ਰੋਡਿਊਸਰ", "ਹਨ", "।" ]	[ "B-PER", "I-PER", "I-PER", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਤਰਨ", "ਤਾਰਨ", ",", "2", "ਜੂਨ" ]	[ "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.	[ "ਚੀਨ", "ਦੇਵੇਗਾ", "ਪਾਕਿਸਤਾਨ", "ਨੂੰ", "2.5", "ਅਰਬ", "ਡਾਲਰ", "ਦਾ", "ਕਰਜ" ]	[ "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.	[ "ਉਹ", "ਐਮਨੇਸਟੀ", "ਇੰਟਰਨੈਸ਼ਨਲ", "ਮਲੇਸ਼ੀਆ", "ਦੀ", "ਸਭ", "ਤੋਂ", "ਛੋਟੀ", "ਕੁਰਸੀ", "ਵੀ", "ਹੈ", "।" ]	[ "O", "B-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.	[ "ਕਲੈਮੀਡੀਆ", "ਦੇ", "ਇਲਾਜ" ]	[ "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਇਨ੍ਹਾਂ", "ਵਿਅਕਤੀਆਂ", "ਦੀ", "ਸੌਖੀ", "ਆਵਾਜਾਈ", "ਲਈ", ",", "ਚੰਡੀਗੜ੍ਹ", "ਪ੍ਰਸ਼ਾਸਨ", "ਨੇ", "ਉਨ੍ਹਾਂ", "ਦੀ", "ਯਾਤਰਾ", "ਨੂੰ", "ਆਰਾਮਦਾਇਕ", "ਅਤੇ", "ਸੁਰੱਖਿਅਤ", "ਯਕੀਨੀ", "ਬਣਾਉਣ", "ਲਈ", "ਵਿਸਤ੍ਰਿਤ", "ਪ੍ਰਬੰਧ", "ਕੀਤੇ", "ਹਨ", "।" ]	[ "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.	[ "ਸਮਾਗਮ", "ਦੌਰਾਨ", "ਸੰਬੋਧਨ", "ਕਰਦੇ", "ਹੋਏ", "ਵਿਧਾਇਕ", "ਦਲਵੀਰ", "ਸਿੰਘ", "ਗੋਲਡੀ", "।" ]	[ "O", "O", "O", "O", "O", "O", "B-PER", "I-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.	[ "ਜ਼ਿਕਰਯੋਗ", "ਹੈ", "ਕਿ", "ਪੰਜਾਬੀ", "ਯੂਨੀਵਰਸਿਟੀ", "ਪਟਿਆਲਾ", "ਨਾਲ", "ਸਬੰਧਤ", "ਵੱਖ", "-", "ਵੱਖ", "ਕਾਲਜਾਂ", "ਦੀਆਂ", "ਕੁੱਲ", "14", "ਟੀਮਾਂ", "ਨੇ", "ਇਸ", "ਵਿੱਚ", "ਹਿੱਸਾ", "ਲਿਆ", "ਸੀ", "।" ]	[ "O", "O", "O", "B-ORG", "I-ORG", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "30", "ਮਾਰਚ", "-", "ਹੋਲੀ", "ਤੇ", "ਸਿਰਫ਼", "ਪਟਨਾ", "ਚ", "ਬੈਂਕ", "ਬੰਦ", "ਰਹਿਣਗੇ", "।" ]	[ "O", "O", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਉੱਤਰੀ", "ਟੈਕਸਸ", "ਦੇ", "ਓਲਡ", "ਲੇਕ", "ਹਾਈਲੈਂਡਜ਼", "ਦੇ", "ਇਸ", "ਮੰਦਰ", "ਦੇ", "ਦਰਵਾਜ਼ੇ", "'", "ਤੇ", "ਸਪਰੇਅ", "ਪੇਂਟ", "ਨਾਲ", "ਨੰਬਰ", "'", "666", "'", "ਅਤੇ", "ਪੁੱਠਾ", "ਸਲੀਬ", "ਬਣਾ", "ਦਿੱਤਾ", "ਗਿਆ", "।" ]	[ "O", "B-LOC", "O", "B-LOC", "I-LOC", "I-LOC", "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.	[ "ਮਿੱਤਰੋ", ",", "ਸ਼੍ਰੀਲੰਕਾ", "ਦੇ", "ਵਿਕਾਸ", "ਯਤਨਾਂ", "ਵਿੱਚ", "ਭਾਰਤ", "ਇੱਕ", "ਭਰੋਸੇ", "ਯੋਗ", "ਹਿੱਸੇਦਾਰ", "ਰਿਹਾ", "ਹੈ", "।" ]	[ "O", "O", "B-LOC", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਹੋਰ", "300", "ਯੁਗਾਂਡਾ", "ਦੇ", "ਸੰਘਣੇ", "ਜੰਗਲ", "ਵਿਚ", "ਵੱਸਦੇ", "ਹਨ", "।" ]	[ "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.	[ "ਜਿਵੇਂ", "ਹੀ", "ਰਾਸ਼ਟਰਪਤੀ", "ਡੋਨਾਲਡ", "ਟਰੰਪ", "ਦੀ", "ਸੈਨੇਟ", "ਮਹਾਂਪ੍ਰਣਾਲੀ", "ਦੀ", "ਸੁਣਵਾਈ", "ਵਾਸ਼ਿੰਗਟਨ", "ਵਿੱਚ", "ਨੇੜੇ", "ਆਈ", ",", "ਪੋਂਪੀਓ", "ਨੇ", "ਬ੍ਰਿਟੇਨ", "ਦੇ", "ਪ੍ਰਧਾਨ", "ਮੰਤਰੀ", "ਬੋਰਿਸ", "ਜੌਨਸਨ", "ਨਾਲ", "ਹੁਆਵੇਈ", "ਬਾਰੇ", "ਅਮਰੀਕੀ", "ਚਿੰਤਾਵਾਂ", "ਨੂੰ", "ਮੁੜ", "ਰਜਿਸਟਰ", "ਕਰਨ", "ਲਈ", "ਮੁਲਾਕਾਤ", "ਕੀਤੀ", "।" ]	[ "O", "O", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "B-PER", "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "B-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਉਨ੍ਹਾਂ", "ਦੱਸਿਆ", "ਕਿ", "ਟਰਾਂਸਪੋਰਟ", "ਵਿਭਾਗ", "ਨੇ", "ਪਹਿਲੇ", "ਪੜਾਅ", "ਵਿਚ", "ਫਰੀਦਾਬਾਦ", ",", "ਪਲਵਲ", ",", "ਅੰਬਾਲਾ", "ਅਤੇ", "ਪੰਚਕੂਲਾ", "ਜ਼ਿਲ੍ਹਿਆਂ", "ਵਿਚ", "ਵਿਸ਼ੇਸ਼", "ਬੱਸਾਂ", "ਚਲਾਈਆਂ", "ਸਨ", "।" ]	[ "B-PER", "O", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "O", "B-LOC", "O", "B-LOC", "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.	[ "ਕੁਝ", "ਯਹੂਦੀ", "ਧਾਰਮਿਕ", "ਆਗੂਆਂ", "ਨੇ", "ਅਨੇਕ", "ਅਸੂਲ", "ਬਣਾਉਣ", "ਨੂੰ", "ਕਿਵੇਂ", "ਉਚਿਤ", "ਸਿੱਧ", "ਕੀਤਾ", "?" ]	[ "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.	[ "ਜਦੋਂ", "ਇਹ", "ਮਾਮਲਾ", "ਹਾਈ", "ਕੋਰਟ", "ਵਿਚ", "ਸੁਣਵਾਈ", "ਲਈ", "ਪੁੱਜਾ", "ਤਾਂ", "ਜਸਟਿਸ", "ਰਣਜੀਤ", "ਸਿੰਘ", "ਨੇ", "ਮੁਢਲੇ", "ਤੌਰ", "'", "ਤੇ", "ਇਹ", "ਵਿਚਾਰ", "ਪ੍ਰਗਟਾਏ", "ਕਿ", "ਸਰਪੰਚ", "ਜਾਂ", "ਪੰਚ", "ਨੂੰ", "ਵਿਰੋਧ", "ਕਰਨ", "ਕਰਕੇ", "ਅਹੁਦੇ", "ਤੋਂ", "ਨਹੀਂ", "ਹਟਾਇਆ", "ਜਾ", "ਸਕਦਾ", "ਕਿਉਂਕਿ", "ਚੁਣੇ", "ਹੋਏ", "ਨੁਮਾਇੰਦੇ", "ਵਜੋਂ", "ਉਹ", "ਅਜਿਹਾ", "ਕਰਨ", "ਦੇ", "ਹੱਕਦਾਰ", "ਹਨ", "।" ]	[ "O", "O", "O", "B-ORG", "I-ORG", "O", "O", "O", "O", "O", "B-PER", "I-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਉਸਨੇ", "ਕਿਰਤ", "ਅੰਦੋਲਨ", "ਵਿਚ", "ਸਰਗਰਮੀ", "ਨਾਲ", "ਹਿੱਸਾ", "ਲਿਆ", "ਹੈ", "ਅਤੇ", "ਕਿਸਾਨਾਂ", ",", "ਝੁੱਗੀ", "-", "ਝੌਂਪੜੀਆਂ", "ਵਾਲਿਆਂ", "ਅਤੇ", "ਸਮਾਜ", "ਦੇ", "ਹੋਰ", "ਕਮਜ਼ੋਰ", "ਵਰਗਾਂ", "ਦੇ", "ਭਲਾਈ", "ਲਈ", "ਕੰਮ", "ਕੀਤਾ", "ਹੈ", "।" ]	[ "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" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਕੈਪਟਨ", "ਤੇ", "ਰਣਇੰਦਰ", "ਦਾ", "ਸਵਿਸ", "ਬੈਂਕ", "ਵਿੱਚ", "400", "ਕਰੋੜ", "ਕਾਲਾ", "ਧਨ", "ਜਮ੍ਹਾਂਃ", "ਸੁਖਬੀਰ" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-PER" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਇਸ", "ਫਿਲਮ", "'", "ਚ", "ਉਨ੍ਹਾਂ", "ਨਾਲ", "ਕੈਟਰੀਨਾ", "ਕੈਫ", "ਨਜ਼ਰ", "ਆਵੇਗੀ", "।" ]	[ "O", "O", "O", "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.	[ "ਉਹ", "ਮੁੰਬਈ", "ਖੇਤਰੀ", "ਕਾਂਗਰਸ", "ਕਮੇਟੀ", "ਦੇ", "ਪ੍ਰਧਾਨ", "ਵੀ", "ਰਹੇ", "।" ]	[ "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਸ਼ਿਮਲਾ", "ਰਿਜ", "ਇੱਕ", "ਵੱਡੀ", "ਸੜਕ", "ਹੈ", "ਜੋ", "ਕਿ", "ਸ਼ਿਮਲਾ", "ਦੀਆਂ", "ਸਭਿਆਚਾਰਕ", "ਗਤੀਵਿਧੀਆਂ", "ਦਾ", "ਕੇਂਦਰ", "ਹੈ", "।" ]	[ "O", "B-LOC", "O", "O", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਬਾਰਟੀ", "ਨੇ", "ਕਿਹਾ", "ਕਿ", "ਉਹ", "ਆਪਣੇ", "ਸਹਾਇਤਾ", "ਸਟਾਫ", "ਲਈ", "ਯਾਤਰਾ", "ਦੀਆਂ", "ਛੋਟਾਂ", "ਬਾਰੇ", "ਚਿੰਤਤ", "ਸੀ", "।" ]	[ "B-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਡੋਰਸੀ", "ਦੋ", "ਕੰਪਨੀਆਂ", "ਦਾ", "ਇਕਲੌਤਾ", "ਸੀਈਓ", "ਹੈ", "ਜਿਸਦਾ", "5", "ਅਰਬ", "ਡਾਲਰ", "ਤੋਂ", "ਵੱਧ", "ਦਾ", "ਬਾਜ਼ਾਰ", "ਮੁੱਲ", "ਹੈ", "." ]	[ "B-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "\"", "ਬਾਅਦ", "ਨੂੰ", "ਦੁਗਾਲ", ",", "\"", "\"", "ਸੋਸ਼ਲ", "ਸੰਚਾਰ", "ਮੀਡੀਆ", "\"", "\"", "ਵਿਚ", "ਪੋਸਟਗ੍ਰੈਜੁਏਟ", "ਡਿਪਲੋਮਾ", "ਕਰਨ", "ਲਈ", "ਸੋਫੀਆ", "ਬਹੁਤਕਨੀਕੀ", "ਅਤੇ", "ਐਕਟਿੰਗ", "ਵਿੱਚ", "ਪੋਸਟਗ੍ਰੈਜੁਏਟ", "ਡਿਪਲੋਮਾ", "ਕਰਨ", "ਲਈ", "ਫਿੱਟੀ", "ਵਿੱਚ", "ਪੜ੍ਹਾਈ", "ਕੀਤੀ", "।", "\"" ]	[ "O", "O", "O", "B-PER", "O", "O", "O", "B-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "I-ORG", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਉਸ", "ਨੇ", "ਕਿਹਾਃ", "\"", "ਜਦ", "ਮਨੁੱਖ", "ਦਾ", "ਪੁੱਤ੍ਰ", "ਆਪਣੇ", "ਤੇਜ", "ਨਾਲ", "ਸਾਰੇ", "ਦੂਤਾਂ", "ਸਣੇ", "ਆਵੇਗਾ", "ਤਦ", "ਉਹ", "ਆਪਣੇ", "ਤੇਜ", "ਦੇ", "ਸਿੰਘਾਸਣ", "ਉੱਤੇ", "ਬੈਠੇਗਾ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]