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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.	[ "ਇਸ", "ਤੋਂ", "ਬਾਅਦ", "ਗ੍ਰਹਿ", "ਮੰਤਰੀ", "ਆਰ", ".", "ਆਰ", ".", "ਪਾਟਿਲ", "ਖ਼ੁਦ", "ਜਸਲੋਕ", "ਹਸਪਤਾਲ", "ਜਾ", "ਕੇ", "ਪੀੜਤਾ", "ਨੂੰ", "ਮਿਲੇ", "।" ]	[ "O", "O", "O", "O", "O", "B-PER", "I-PER", "I-PER", "I-PER", "I-PER", "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.	[ "ਨਕਲੀ", "ਸ਼ਰਾਬ", "ਦੇ", "ਦੁਖਾਂਤ", "'", "ਤੇ", "ਸੂਬੇ", "ਵਿਚ", "ਅਪਣੀ", "ਪਾਰਟੀ", "ਦੀ", "ਸਰਕਾਰ", "'", "ਤੇ", "ਹਮਲਾ", "ਬੋਲਣ", "ਲਈ", "ਬਾਜਵਾ", "ਤੇ", "ਦੂਲੋ", "ਨੂੰ", "ਬਰਖ਼ਾਸਤ", "ਕਰਨ", "ਦੀ", "ਮੰਗ", "ਕਰਦਿਆਂ", "ਕੈਬਨਿਟ", "ਮੰਤਰੀਆਂ", "ਨੇ", "ਕਿਹਾ", "ਕਿ", "ਦੋਵੇਂ", "ਰਾਜ", "ਸਭਾ", "ਮੈਂਬਰਾਂ", "ਦੀਆਂ", "ਕਾਰਵਾਈਆਂ", "ਲਈ", "ਪਾਰਟੀ", "ਹਾਈ", "ਕਮਾਨ", "ਨੂੰ", "ਤੁਰਤ", "ਤੇ", "ਸਖ਼ਤ", "ਕਦਮ", "ਚੁੱਕਣਾ", "ਚਾਹੀਦਾ", "ਹੈ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "B-PER", "O", "B-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਅਧਿਆਪਕਾਂ", "ਅਤੇ", "ਵਿਦਿਆਰਥੀਆਂ", "ਦੇ", "ਸਣੇ", "350", "ਦੇ", "ਕਰੀਬ", "ਯੋਗਾ", "ਸਿਖਿਆਰਥੀ", "ਇਸ", "ਸੈਸ਼ਨ", "ਵਿੱਚ", "ਸ਼ਾਮਲ", "ਹੋਏ", "।" ]	[ "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.	[ "ਸੀਰੀਅਲ", "ਨੰਬਰ", "ਰਾਜ", "ਕੁੱਲ", "ਆਈਸੋਲੇਸ਼ਨ", "ਬੈੱਡ", "(", "ਆਈਸੀਯੂ", "ਬੈੱਡਾਂ", "ਨੂੰ", "ਛੱਡ", "ਕੇ", ")", "ਆਕਸੀਜਨ", "ਸੁਵਿਧਾ", "ਵਾਲੇ", "ਬੈੱਡ", "ਕੁੱਲ", "ਆਈਸੀਯੂ", "ਬੈੱਡ", "ਵੈਂਟੀਲੇਟਰ", "ਦੀ", "ਸੰਖਿਆ", "1", "ਅਰੁਣਾਚਲ", "ਪ੍ਰਦੇਸ਼", "1998", "178", "60", "16", "2", "ਅਸਾਮ", "67833", "1841", "598", "350", "3", "ਮਣੀਪੁਰ", "829", "317", "48", "45", "4", "ਮੇਘਾਲਿਆ", "1231", "345", "83", "95", "5", "ਮਿਜ਼ੋਰਮ", "709", "213", "37", "27", "6", "ਨਾਗਾਲੈਂਡ", "681", "142", "54", "28", "7", "ਸਿੱਕਮ", "251", "224", "20", "59", "8", "ਤ੍ਰਿਪੁਰਾ", "1277", "10", "13", "7", "ਕੇਂਦਰ", "ਨੇ", "ਐੱਨ95", "ਮਾਸਕ", ",", "ਪੀਪੀਈ", "ਕਿੱਟਾਂ", "ਅਤੇ", "ਐੱਚਸੀਕਿਊ", "ਟੈਬਲੇਟ", "ਦੀ", "ਉਪਲੱਬਧਤਾ", "ਵਧਾਉਣ", "ਵਿੱਚ", "ਵੀ", "ਉੱਤਰ", "-", "ਪੂਰਬ", "ਰਾਜਾਂ", "ਨੂੰ", "ਵਿਆਪਕ", "ਸਹਿਯੋਗ", "ਦਿੱਤਾ", "ਹੈ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "B-LOC", "I-LOC", "O", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "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.	[ "ਚੈਂਪੀਅਨਜ਼", "ਟਰਾਫ਼ੀ", "ਦਾ", "ਇਤਿਹਾਸ", "ਹਾਲਾਂਕਿ", "ਪਾਕਿਸਤਾਨ", "ਦੇ", "ਪੱਖ", "'", "ਚ", "ਹੈ", "।" ]	[ "O", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਦਿੱਲੀ", "ਦੇ", "ਮੁੱਖ", "ਮੰਤਰੀ", "ਅਰਵਿੰਦ", "ਕੇਜਰੀਵਾਲ", "ਨੇ", "ਦੇਸ਼ਵਾਸੀਆਂ", "ਨੂੰ", "ਵਧਾਈ", "ਦਿਤੀ", "।" ]	[ "B-LOC", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਵੱਖ", "-", "ਵੱਖ", "ਪੱਧਰਾਂ", "'", "ਤੇ", "ਸਖ਼ਤ", "ਨਿਗਰਾਨੀ", "ਤੇ", "ਸੰਤੁਲਨ", "ਕਾਰਨ", "ਈਸੀਆਈ", "ਈਵੀਐੱਮ", "ਈਸੀਆਈ", "ਪ੍ਰਣਾਲੀ", "ਤੋਂ", "ਬਾਹਰ", "ਨਹੀਂ", "ਜਾਵੇਗੀ", "ਤੇ", "ਨਾ", "ਹੀ", "ਕੋਈ", "ਬਾਹਰਲੀ", "ਮਸ਼ੀਨ", "(", "ਗੈਰ", "ਈਸੀਆਈ", "-", "ਈਵੀਐੱਮ", ")", "ਨੂੰ", "ਪ੍ਰਣਾਲੀ", "ਵਿੱਚ", "ਸ਼ਾਮਲ", "ਕੀਤਾ", "ਜਾ", "ਸਕਦਾ", "ਹੈ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਕਾਂਗਰਸ", "ਸਰਕਾਰ", "ਸਾ", "." ]	[ "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.	[ "ਆਪਣੇ", "ਪਰਿਵਾਰ", "ਦੇ", "ਬਾਅਦ", "ਬੰਗਲੌਰ", "ਚਲੀ", "ਗਈ", ",", "ਵੈਸ਼ਾਲੀ", "ਨੇ", "ਕਈ", "ਨਾਟਕਾਂ", "ਹਯਾਵਦਾਨਾ", ",", "ਜੋਕੁਮਾਰਾਸਵਾਮੀ", ",", "ਮਿਡਸਮਰ", ",", "ਨਾਈਟਸ", "ਡ੍ਰੀਮ", ",", "ਨਾਟਕਾਕਾਰਨਾ", "ਸ਼ਧਾਨੇਯੱਲੀ", "ਆਰੂ", "ਪਾਥਰਾਗਾਲੂ", "ਅਤੇ", "ਹੋਰ", "ਕਈ", "ਨਾਟਕਾਂ", "'", "ਚ", "ਭੂਮਿਕਾ", "ਨਿਭਾਈ", "।" ]	[ "O", "O", "O", "O", "B-LOC", "O", "O", "O", "B-PER", "O", "O", "O", "B-PER", "O", "B-PER", "O", "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਹੁਨਰ", "ਵਿਕਾਸ", "ਨੂੰ", "ਸਵੀਕਾਰ", "ਕਰਦੇ", "ਹੋਏ", "ਇਹ", "ਦੋਹਾਂ", "ਦੇਸ਼ਾਂ", "ਲਈ", "ਇੱਕ", "ਪ੍ਰਮੁੱਖ", "ਤਰਜੀਹ", "ਹੈ", ",", "ਦੋਹਾਂ", "ਨੇਤਾਵਾਂ", "ਨੇ", "ਭਾਰਤ", "ਵਿੱਚ", "ਫਰਾਂਸੀਸੀ", "ਕੰਪਨੀਆਂ", "ਵੱਲੋਂ", "ਭਾਰਤੀ", "ਕਰਮਚਾਰੀਆਂ", "ਦੀ", "ਸਿਖਲਾਈ", "ਅਤੇ", "ਹੁਨਰ", "ਵਿੱਚ", "ਮਹੱਤਵਪੂਰਨ", "ਭੂਮਿਕਾ", "ਨਿਭਾਉਣ", "ਦਾ", "ਸੁਆਗਤ", "ਕੀਤਾ", "ਅਤੇ", "ਉਨ੍ਹਾਂ", "ਨੂੰ", "ਪ੍ਰੋਤਸਾਹਿਤ", "ਕੀਤਾ", "ਕਿ", "ਉਹ", "ਇਸ", "ਖੇਤਰ", "ਵਿੱਚ", "ਹੋਰ", "ਜ਼ਿਆਦਾ", "ਸਰਗਰਮ", "ਰੂਪ", "ਨਾਲ", "ਜੁੜਨ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "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.	[ "ਕਾਨਫਰੰਸ", "ਮੌਕੇ", "ਕੇਂਦਰ", "ਤੇ", "ਰਾਜ", "ਸਰਕਾਰ", "ਖ਼ਿਲਾਫ਼", "ਨਾਅਰੇਬਾਜ਼ੀ", "ਵੀ", "ਕੀਤੀ", "ਗਈ", "।" ]	[ "O", "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਦੀਪੀਕਾ", "ਪਾਦੁਕੋਣ", "ਅਤੇ", "ਸਿੱਧਾਰਥ", "ਮਾਲਿਆ" ]	[ "B-PER", "I-PER", "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.	[ "ਜਾਣਕਾਰੀ", "ਮੁਤਾਬਿਕ", "ਫਿਲਮ", "'", "ਦਿ", "ਜੋਆ", "ਫੈਕਟਰ", "'", "ਅਨੁਜਾ", "ਚੌਹਾਨ", "ਦੇ", "ਬੈਸਟ", "ਸੇਲਿੰਗ", "ਨਾਵਲ", "ਉੱਤੇ", "ਬੇਸਡ", "ਹੈ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ੈਨਡੇਜ਼", ",", "ਐੱਨ", "." ]	[ "B-LOC", "O", "B-LOC", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਇਨ੍ਹਾਂ", "10", "ਦੇਸ਼ਾਂ", "'", "ਚ", "ਬਰੁਨੇਈ", ",", "ਕੰਬੋਡੀਆ", ",", "ਇੰਡੋਨੇਸ਼ੀਆ", ",", "ਲਾਓਸ", ",", "ਮਲੇਸ਼ੀਆ", ",", "ਮਿਆਂਮਾਰ", ",", "ਸਿੰਗਾਪੁਰ", ",", "ਥਾਈਲੈਂਡ", ",", "ਵਿਅਤਨਾਮ", "ਅਤੇ", "ਫਿਲੀਪੀਨਜ਼", "ਦੇ", "ਨੇਤਾ", "ਸ਼ਾਮਲ", "ਹੋਣਗੇ", "।" ]	[ "O", "O", "O", "O", "O", "B-LOC", "O", "B-LOC", "O", "B-LOC", "O", "O", "O", "B-LOC", "O", "O", "O", "B-LOC", "O", "B-LOC", "O", "B-LOC", "O", "B-LOC", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਫੋਟੋ", "ਕੈਪਸ਼ਨ", "ਸੁਨੀਲ", "ਜਾਖੜ" ]	[ "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.	[ "ਅੱਜ", "ਡਿਪਟੀ", "ਕਮਿਸ਼ਨਰ", "ਈਸ਼ਾ", "ਕਾਲੀਆ", "ਨੇ", "ਡੀ", ".", "ਸੀ", "ਦਫ਼ਤਰ", "ਦੀਆਂ", "ਵੱਖ", "-", "ਵੱਖ", "ਬਰਾਂਚਾਂ", "ਦੇ", "ਈ", "-", "ਆਫਿਸ", "ਦੇ", "ਕੰਮ", "ਦਾ", "ਜਾਇਜ਼ਾ", "ਲਿਆ", "।" ]	[ "O", "O", "O", "B-PER", "I-PER", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਯੂਐਫਬੀਯੂ", ",", "ਆਲ", "ਇੰਡੀਆ", "ਬੈਂਕ", "ਆਫੀਸਰਜ਼", "ਕਨਫੈਡਰੇਸ਼ਨ", ",", "ਆਲ", "ਇੰਡੀਆ", "ਬੈਂਕ", "ਐਂਪਲਾਈਜ਼", "ਐਸੋਸੀਏਸ਼ਨ", ",", "ਬੈਂਕ", "ਮੁਲਾਜ਼ਮਾਂ", "ਦੀ", "ਕੌਮੀ", "ਕਨਫੈਡਰੇਸ਼ਨ", "ਤੇ", "ਬੈਂਕ", "ਕਾਮਿਆਂ", "ਦੀ", "ਕੌਮੀ", "ਸੰਸਥਾ", "ਸਮੇਤ", "ਕੁੱਲ", "ਨੌਂ", "ਯੂਨੀਅਨਾਂ", "ਦਾ", "ਇਕ", "ਸਮੂਹ", "ਹੈ", "।" ]	[ "B-ORG", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਰੋਨਡਰੋ", "ਕਹਿੰਦੀ", "ਹੈਃ", "\"", "ਚੁੱਪ", "ਰਹਿ", "ਕੇ", "ਸਭ", "ਕੁਝ", "ਸਹਿਣ", "ਦੀ", "ਲੋੜ", "ਨਹੀਂ", "ਹੈ", "।" ]	[ "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.	[ "ਓਪਨਆਫਿਸ", "ਗਣਿਤ", "ਦਸਤਾਵੇਜ਼" ]	[ "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.	[ "ਕਰਨਾਟਕ", "ਸਰਕਾਰ", "ਨੇ", "ਇੰਸਟੀਚਿਊਟ", "ਨੂੰ", "ਕਾਰਡੀਆਕ", "ਕੈਥੀਟਰਾਈਜ਼ੇਸ਼ਨ", "ਲੈਬ", "ਪ੍ਰਦਾਨ", "ਕੀਤੀ", "ਹੈ", "ਅਤੇ", "ਇਸ", "ਨੂੰ", "ਰੀਜਨਲ", "ਕਾਰਡਿਓਲੋਜੀ", "ਸੈਂਟਰ", "ਵਜੋਂ", "ਨਵੀਨੀਕਰਨ", "ਕਰਨ", "ਦਾ", "ਵਾਅਦਾ", "ਕੀਤਾ", "ਹੈ", "।" ]	[ "B-ORG", "I-ORG", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਯਾਦਗਰ", "ਦਾ", "ਉਦਘਾਟਨ", "ਅਗਲੇ", "ਮਹੀਨੇ", "ਪ੍ਰਧਾਨ", "ਮੰਤਰੀ", "ਨਰਿੰਦਰ", "ਮੋਦੀ", "ਕਰਨਗੇ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਕੌਣ", "ਐ", "ਬਈ", "?" ]	[ "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਭਾਰਤੀ", "ਫ਼ੌਜ", "ਨੇ", "ਵੀ", "ਪਾਕਿਸਤਾਨ", "ਨੂੰ", "ਮੂੰਹਤੋੜ", "ਜਵਾਬ", "ਦਿੱਤਾ", "।" ]	[ "B-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਕੇਜਰੀਵਾਲ", "ਜੀ", "ਤੁਹਾਡੇ", "ਮਨ", "'", "ਚ", "ਡਰ", "ਹੈ", "ਕਿ", "ਜੇ", "ਆਯੁਸ਼ਮਾਨ", "ਯੋਜਨਾ", "ਦਿੱਲੀ", "'", "ਚ", "ਲਾਗੂ", "ਹੋ", "ਗਈ", "ਤਾਂ", "ਲੋਕਾਂ", "ਤੇ", "ਮੋਦੀ", "ਜੀ", "ਵਿਚਕਾਰ", "ਨੇੜਤਾ", "ਆ", "ਜਾਵੇਗੀ", "।" ]	[ "B-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਬੈਠਕ", "ਦਾ", "ਉਦੇਸ਼", "ਮੁੱਖ", "ਤੌਰ", "ਤੇ", "ਯੁੱਧ", "ਤੋਂ", "ਪ੍ਰਭਾਵਿਤ", "ਯੂਰਪ", "ਦੀਆਂ", "ਕੌਮਾਂ", "ਦੀ", "ਮੁੜ", "ਸਥਾਪਨਾ", "ਬਾਰੇ", "ਵਿਚਾਰ", "ਵਟਾਂਦਰਾ", "ਕਰਨਾ", "ਸੀ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਡਾ", ".", "ਅੰਬੇਡਕਰ", "ਦੇ", "ਵਿਚਾਰਾਂ", "ਨੂੰ", "ਫੈਲਾਉਣ", "ਲਈ", "ਮੰਤਰਾਲੇ", "ਵੱਲੋਂ", "ਚੁੱਕੇ", "ਗਏ", "ਕਦਮ" ]	[ "O", "O", "B-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਉਨ੍ਹਾਂ", "ਦੱਸਿਆ", "ਕਿ", "ਇਸ", "ਸਬੰਧੀ", "ਪੁਲਿਸ", "ਥਾਣਾ", "ਲੱਖੋ", "ਕੇ", "ਬਹਿਰਾਮ", "ਵਿਖੇ", "ਅਵਤਾਰ", "ਸਿੰਘ", "ਉਰਫ", "ਤਾਰੀ", "ਪੁੱਤਰ", "ਸੂਬਾ", "ਸਿੰਘ", "ਵਾਸੀ", "ਖੁੱਡਾ", "ਥਾਣਾ", "ਸਣੌਰ", "ਜ਼ਿਲ੍ਹਾ", "ਪਟਿਆਲਾ", "ਅਤੇ", "ਸਰਬਜੀਤ", "ਸਿੰਘ", "ਪੁੱਤਰ", "ਗੁਰਨਾਮ", "ਸਿੰਘ", "ਵਾਸੀ", "ਅਗਰਵਾਲ", "ਕਲੋਨੀ", "ਅੰਬਾਲਾ", "ਕੈਂਟ", "(", "ਹਰਿਆਣਾ", ")", "ਖਿਲਾਫ", "ਐਨ", ".", "ਡੀ", ".", "ਪੀ", ".", "ਐਸ", "ਐਕਟ", "ਤਹਿਤ", "ਮੁਕੱੱਦਮਾ", "ਦਰਜ", "ਕਰ", "ਲਿਆ", "ਹੈ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "B-PER", "O", "O", "O", "O", "O", "O", "B-LOC", "I-LOC", "I-LOC", "I-LOC", "I-LOC", "I-LOC", "I-LOC", "I-LOC", "I-LOC", "I-LOC", "I-LOC", "I-LOC", "I-LOC", "I-LOC", "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.	[ "ਇਸੇ", "ਦੌਰਾਨ", "ਛੱਤੀਸਗੜ੍ਹ", "ਦੇ", "ਮੁੱਖ", "ਮੰਤਰੀ", "ਵਜੋਂ", "ਭੂਪੇਸ਼", "ਬਘੇਲ", "ਨੇ", "ਸਹੁੰ", "ਚੁੱਕੀ", "।" ]	[ "O", "O", "B-LOC", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਭਾਰਤ", "ਵਿੱਚ", "ਜਾਪਾਨੀ", "ਭਾਸ਼ਾ", "ਟੀਚਰਸ", "ਟ੍ਰੇਨਿੰਗ", "ਸੈਂਟਰ", "ਦੀ", "ਸਾਂਝੀ", "ਸ਼ੁਰੂਆਤ", "ਨਾਲ", "ਦੋਹਾਂ", "ਦੇਸ਼ਾਂ", "ਦੇ", "ਲੋਕਾਂ", "ਵਿੱਚ", "ਸਹਿਯੋਗ", "ਹੋਵੇਗਾ", "।" ]	[ "B-LOC", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਸਮੁੰਦਰ", "ਦੀ", "ਸਥਿਤੀ", "1", "ਤੋਂ", "5", "ਮਈ", "2020", "ਦੌਰਾਨ", "ਦੱਖਣ", "ਅੰਡੇਮਾਨ", "ਸਾਗਰ", "ਅਤੇ", "ਦੱਖਣ", "-", "ਪੂਰਬ", "ਬੰਗਾਲ", "ਦੀ", "ਖਾੜੀ", "ਵਿੱਚ", "ਸਮੁੰਦਰ", "ਦੀ", "ਸਥਿਤੀ", "ਖਰਾਬ", "ਤੋਂ", "ਲੈ", "ਕੇ", "ਬਹੁਤ", "ਖਰਾਬ", "ਰਹੇਗੀ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "I-LOC", "O", "O", "O", "O", "B-LOC", "I-LOC", "I-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.	[ "ਉਸਨੇ", "ਹਰੀਕਥਾ", "ਦੀ", "ਕਲਾ", "ਆਪਣੇ", "ਪਤੀ", "ਤਜ਼ਰਬੇਕਾਰ", "ਹਰੀਕਥਾਕਾਰ", "ਸ਼੍ਰੀ", "ਹਰੀਜੀ", "ਤੋਂ", "ਸਿੱਖੀ", ",", "ਜੋ", "ਕਿ", "ਤਾਮਿਲ", ",", "ਅੰਗਰੇਜ਼ੀ", "ਅਤੇ", "ਹਿੰਦੀ", "ਵਿੱਚ", "ਭਾਸ਼ਣ", "ਦਿੰਦੇ", "ਹਨ", "।" ]	[ "O", "B-PER", "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਤੇ", "ਮੈਂ", "ਐਸ਼", "ਮਾਣਾਂ", "।" ]	[ "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਗੂਹਲਾ", "ਚੀਕਾ", ",", "23", "ਸਤੰਬਰ" ]	[ "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਬੈਕਗਰਾਊਂਡ", "ਚਿੱਤਰ", "ਛੱਡੋ", "ਇਹ", "ਚੋਣ", "ਕਰਨ", "ਨਾਲ", "ਕੋਨਕਿਉਰੋਰ", "ਬੈਕਗਰਾਊਂਡ", "ਚਿੱਤਰ", "ਲੋਡ", "ਨਹੀਂ", "ਕਰੇਗਾ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਇਸ", "ਮੌਕੇ", "ਸ੍ਰੀ", "ਗੁਰੂ", "ਗ੍ੰਥ", "ਸਾਹਿਬ", "ਜੀ", "ਦੇ", "ਪ੍ਰਕਾਸ਼", "ਕਰਵਾਏ", "ਅਖੰਡ", "ਪਾਠ", "ਭੋਗ", "ਉਪਰੰਤ", "ਧਾਰਮਿਕ", "ਸਮਾਗਮ", "ਕਰਵਾਇਆ", "ਗਿਆ", "।" ]	[ "O", "O", "B-PER", "I-PER", "I-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਉਨ੍ਹਾਂ", "ਕਿਹਾ", "ਕਿ", "ਸਰਕਾਰ", "ਵੱਲੋਂ", "ਕਾਲੇ", "ਧਨ", "ਦਾ", "ਪਤਾ", "ਲਾਉਣ", "ਲਈ", "ਕੀਤੀਆਂ", "ਜਾ", "ਰਹੀਆਂ", "ਕੋਸ਼ਿਸ਼ਾਂ", "ਦਾ", "ਇਹ", "ਹਿੱਸਾ", "ਹੈ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਕਾਰ", "ਚਾਲਕ", "ਦੀ", "ਪਛਾਣ", "ਚਰਨਜੀਤ", "ਸਿੰਘ", "ਉਰਫ਼", "ਚੰਨੀ", "ਵਾਸੀ", "ਪਿੰਡ", "ਸ਼ਾਹਪੁਰ", "ਵਜੋਂ", "ਹੋਈ", "।" ]	[ "O", "O", "O", "O", "B-PER", "I-PER", "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.	[ "ਉਨ੍ਹਾਂ", "ਨੇ", "ਕਿਹਾ", "ਕਿ", "ਰਿਤੇਸ਼", "ਦੇਸ਼ਮੁਖ", "ਅਤੇ", "ਨਰਗਿਸ", "ਫਾਖਰੀ", "ਨੇ", "ਇਸ", "ਫਿਲਮ", "'", "ਚ", "ਬਿਹਤਰੀਨ", "ਕੰਮ", "ਕੀਤਾ", "ਹੈ", "।" ]	[ "O", "O", "O", "O", "B-PER", "I-PER", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "\"", "\"", "\"", "-", "ਇੱਕ", "ਸਧਾਰਨ", "ਸਵਾਲ", "ਦਾ", ".", "\"" ]	[ "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", "ਦੀਆਂ", "ਉਮੀਦਾਂ", "-", "ਅਕਾਂਖਿਆਵਾਂ", "ਦੀ", "ਪੂਰਤੀ", ",", "ਸਿਰਫ਼", "ਕੁਝ", "ਮੰਤਰਾਲਿਆਂ", "ਦੀ", "ਜ਼ਿੰਮੇਵਾਰੀ", "ਨਹੀਂ", "ਬਲਕਿ", "ਸਾਡਾ", "ਸਾਰਿਆਂ", "ਦਾ", "ਸਮੂਹਿਕ", "ਕਰਤੱਵ", "ਹੈ", "।" ]	[ "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.	[ "ਜੇਮਜ਼", "ਫਾਕਨੇਰ", "ਅਤੇ", "ਸ਼ੇਨ", "ਵਾਟਸਨ", "ਦਾ", "ਮੰਨਣਾ", "ਹੈ", "ਕਿ", "ਭਾਰਤ", "ਨਾਲ", "ਉਸਦੀ", "ਸਰਜ਼ਮੀ", "ਉੱਤੇ", "ਖੇਡਣਾ", "ਸਖਤ", "ਚੁਣੌਤੀ", "ਹੈ", "ਪਰ", "ਮੇਜ਼ਬਾਨ", "ਟੀਮ", "ਨੂੰ", "ਵੀ", "ਪਤਾ", "ਹੈ", "ਕਿ", "ਉਸਦਾ", "ਰਾਸਤਾ", "ਆਸਾਨ", "ਨਹੀ", "ਹੈੈ", "।" ]	[ "B-PER", "I-PER", "O", "B-PER", "I-PER", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "\"", "ਹਾਲਾਂਕਿ", ",", "ਗੂਗਲ", "ਦੇ", "ਓਐਸ", "ਨੂੰ", "ਇਕ", "ਵਾਤਾਵਰਣ", "ਪ੍ਰਣਾਲੀ", "ਦੁਆਰਾ", "ਸਮਰਥਤ", "ਕੀਤਾ", "ਗਿਆ", "ਹੈ", "ਜੋ", "ਸਾਡੀ", "ਜ਼ਿੰਦਗੀ", "ਵਿਚ", "ਬਹੁਤ", "ਡੂੰਘਾ", "ਹੈ", "ਅਤੇ", "ਇਹ", "ਜਲਦੀ", "ਕਿਤੇ", "ਦੂਰ", "ਨਹੀਂ", "ਹੁੰਦਾ", "." ]	[ "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the 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", "ਯੋਜਨਾ", "ਲਈ", "ਸਰਕਾਰ", "ਵਲੋਂ", "ਇਕ", "ਵੱਖਰਾ", "ਫੰਡ", "ਵੀ", "ਬਣਾਇਆ", "ਜਾਵੇਗਾ", "।" ]	[ "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਹਾਈ", "ਸਪੀਡ", "ਬਰਾਂਡ", "ਦੀ", "ਇਹ", "ਸ਼ਰਾਬ", "ਚੰਡੀਗੜ੍ਹ", "ਤੋਂ", "ਸਮਗÇਲੰਗ", "ਕਰਕੇ", "ਪੰਜਾਬ", "ਲਿਆਂਦੀ", "ਜਾ", "ਰਹੀ", "ਸੀ", "।" ]	[ "O", "O", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਕੀਕੂ", "ਸ਼ਾਰਦਾ", "ਨੂੰ", "ਮਹਿੰਗੀ", "ਪਈ", "ਇੱਕ", "ਕੱਪ", "ਚਾਹ", ",", "78,650", "ਰੁਪਏ", "ਬਿੱਲ" ]	[ "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਪੰਜਾਬੀ", "ਯੂਨੀਵਰਸਿਟੀ", "ਪਟਿਆਲਾ", "ਵਿੱਚ", "ਭਾਸ਼ਾ", "ਵਿਗਿਆਨ", "ਤੇ", "ਪੰਜਾਬੀ", "ਕੋਸ਼ਕਾਰੀ", "ਵਿਭਾਗ", "ਵੱਲੋਂ", "ਸੈਨੇਟ", "ਹਾਲ", "ਵਿੱਚ", "'", "ਪ੍ਰੋ", ".", "ਸ", ".", "ਸ", ".", "ਜੋਸ਼ੀ", "ਮੈਮੋਰੀਅਲ", "ਲੈਕਚਰ", "'", "ਕਰਵਾਇਆ", "ਗਿਆ", "।" ]	[ "B-ORG", "I-ORG", "B-LOC", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "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.	[ "ਜੇਸੀਬੀ", "ਦੀ", "ਮਦਦ", "ਨਾਲ", "ਸੁਰੰਗ", "ਦੇ", "ਅੰਦਰ", "ਪਹੁੰਚ", "ਕੇ", "ਰਸਤਾ", "ਖੋਲ੍ਹਣ", "ਦੀ", "ਕੋਸ਼ਿਸ਼", "ਕੀਤੀ", "ਜਾ", "ਰਹੀ", "ਹਨ", "।" ]	[ "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "\"", "URI", "\"", "\"", "%", "s", "\"", "\"", "ਗਲਤ", "ਹੈ", "\"" ]	[ "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਆਦਮਪੁਰ", "ਦੋਆਬਾ", ",", "25", "ਦਸੰਬਰ" ]	[ "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.	[ "ਜਦੋਂ", "1945", "ਵਿਚ", "ਯੁੱਧ", "ਖ਼ਤਮ", "ਹੋ", "ਗਿਆ", ",", "ਤਾਂ", "ਮੈਂ", "ਵਾਚਟਾਵਰ", "ਬਾਈਬਲ", "ਸਕੂਲ", "ਆਫ਼", "ਗਿਲਿਅਡ", "ਵਿਚ", "ਮਿਸ਼ਨਰੀ", "ਸਿਖਲਾਈ", "ਲਈ", "ਅਰਜ਼ੀ", "ਦਿੱਤੀ", "ਅਤੇ", "ਮੈਨੂੰ", "ਸੰਨ", "1946", "ਵਿਚ", "ਅੱਠਵੀਂ", "ਕਲਾਸ", "ਲਈ", "ਬੁਲਾਇਆ", "ਗਿਆ", "।" ]	[ "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" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਮੋਟੋਰੋਲਾ", "ਇਸ", "ਦਿਨ", "ਲਾਂਚ", "ਕਰੇਗੀ", "ਆਪਣਾ", "ਪਾਪ", "-", "ਅਪ", "ਸੈਲਫੀ", "ਕੈਮਰੇ", "ਵਾਲਾ", "ਫੋਨ" ]	[ "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਨਵੀਂ", "ਦਿੱਲੀ", ":", "ਆਂਧਰ", "ਪ੍ਰਦੇਸ਼", "ਦੇ", "ਮੁੱਖ", "ਮੰਤਰੀ", "ਐਨ", "." ]	[ "B-LOC", "I-LOC", "O", "O", "B-LOC", "O", "O", "O", "B-PER", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਠੰਡੇ", "ਪਾਣੀ", "ਵਿਚ", "ਕੱਪੜੇ", "ਧੋਵੋ", "." ]	[ "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਜਿਉਂ", "ਹੀ", "ਮਾਮਲਾ", "ਵਿਦੇਸ਼", "ਰਾਜ", "ਮੰਤਰੀ", "ਵੇੱਲਮਵੇੱਲੀ", "ਮੁਰਲੀਧਰਨ", "ਤਕ", "ਪਹੁੰਚਿਆਂ", "ਉਨ੍ਹਾਂ", "ਇਸ", "ਨੂੰ", "ਨੋਟਿਸ", "'", "ਚ", "ਲੈਂਦਿਆਂ", "ਵਣਜ", "ਦੂਤਘਰ", "ਨੂੰ", "ਚੁਕੰਨੇ", "ਕੀਤਾ", "ਜਿਸ", "ਤੋਂ", "ਬਾਅਦ", "ਦੁਬਈ", "ਪੁਲਿਸ", "ਨੂੰ", "ਇਸ", "ਦੀ", "ਜਾਣਕਾਰੀ", "ਦਿੱਤੀ", "ਗਈ", "।" ]	[ "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "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.	[ "ਪਹਿਲੇ", "ਦਿਨ", "ਇਹ", "ਫ਼ਿਲਮ", "ਅਮਰੀਕਾ", "ਵਿੱਚ", "127", "ਸਕਰੀਨਾਂ", "ਤੇ", "ਚੱਲੀ", "ਅਤੇ", "1.19", "ਕਰੋਡ਼", "ਇਸਨੇ", "ਕਮਾਈ", "ਕੀਤੀ", ",", "ਕੈਨੇਡਾ", "ਦੀਆਂ", "16", "ਸਕਰੀਨਾਂ", "ਤੇ", "ਇਸਨੇ", "8.29", "ਲੱਖ", "ਕਮਾਏ", "।" ]	[ "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the 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", "ਸਪੱਸ਼ਟ", "ਕਿਹਾ", "ਕਿ", "ਪੰਜਾਬ", "ਕੋਲ", "ਪਾਣੀ", "ਦੀ", "ਇਕ", "ਵੀ", "ਵਾਧੂ", "ਬੂੰਦ", "ਨਹੀਂ", "ਹੈ", "ਅਤੇ", "ਨਾ", "ਹੀ", "ਕਿਸੇ", "ਹੋਰ", "ਸੂਬੇ", "ਨੂੰ", "ਦਿੱਤਾ", "ਜਾਵੇਗਾ", "।" ]	[ "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਇਸ", "ਫਿਲਮ", "ਨੂੰ", "ਅੰਬਰਦੀਪ", "ਨੇ", "ਲਿਖਿਆ", "ਹੈ", "।" ]	[ "O", "O", "O", "B-PER", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਇਸ", "ਪੋਰਟਲ", "ਦਾ", "ਉਦੇਸ਼", "ਬੈਂਕਾਂ", "ਵਿੱਚ", "ਭੀੜ", "ਪ੍ਰਬੰਧਨ", "ਹੈ", "ਅਤੇ", "ਇਹ", "ਲੋਕਾਂ", "ਨੂੰ", "ਏਈਪੀਐੱਸ", "ਰਾਹੀਂ", "ਡਾਕਘਰਾਂ", "ਤੋਂ", "ਆਪਣੇ", "ਪੈਸੇ", "ਪ੍ਰਾਪਤ", "ਕਰਨ", "ਦਾ", "ਵਿਕਲਪ", "ਦਿੰਦਾ", "ਹੈ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the 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", "ਸਿਸਟਮ", "ਇਸ", "ਤੋਂ", "ਪਹਿਲਾਂ", "2016", "ਚ", "ਇੰਗਲੈਂਡ", "ਤੇ", "ਪਾਕਿਸਤਾਨ", "ਦੇ", "ਵਿਚਾਲੇ", "ਵਨਡੇਅ", "ਸੀਰੀਜ਼", "ਚ", "ਵੀ", "ਅਜ਼ਮਾਈ", "ਗਈ", "ਸੀ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "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.	[ "ਬੰਗਲਾਦੇਸ਼", "ਦੀ", "ਪ੍ਰਧਾਨ", "ਮੰਤਰੀ", "ਸ਼ੇਖ", "ਹਸੀਨਾ", "ਦੀ", "ਗ਼ੈਰ", "ਮੌਜੂਦਗੀ", "'", "ਚ", "ਸੰਸਦ", "ਦੀ", "ਸਪੀਕਰ", "ਸ਼ਿਰਿਨ", "ਸ਼ਰਮਨ", "ਚੌਧਰੀ", "ਉਨ੍ਹਾਂ", "ਦੀ", "ਪ੍ਰਤੀਨਿਧਤਾ", "ਕਰ", "ਰਹੇ", "ਸਨ", "।" ]	[ "B-LOC", "O", "O", "O", "O", "B-PER", "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਬਲਕਿ", "ਮੁਕੇਸ਼", "ਨੇ", "ਇਨ੍ਹਾਂ", "ਦੋਸ਼ਾਂ", "ਨੂੰ", "ਸਿਰੇ", "ਤੋਂ", "ਨਕਾਰਿਆ", "ਹੈ", "।" ]	[ "O", "B-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਨਿਊਜ਼", "ਏਜੰਸੀ", "ਏਐਨਆਈ", "ਦੀ", "ਰਿਪੋਰਟ", "ਦੇ", "ਅਨੁਸਾਰ", ",", "ਕਿਸੇ", "ਵੀ", "ਸਮੂਹ", "ਨੇ", "ਇਸ", "ਹਮਲੇ", "ਦੀ", "ਜ਼ਿੰਮੇਵਾਰੀ", "ਨਹੀਂ", "ਲਈ", "ਹੈ", "।" ]	[ "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਨਿਰਦੇਸ਼ਕ", "ਦਾ", "ਸੋਨ", "ਤਗ਼ਮਾ", "ਮਕੈਨੀਕਲ", "ਇੰਜਨੀਅਰਿੰਗ", "ਵਿਭਾਗ", "ਦੇ", "ਸਵਪਨਿਲ", "ਰਾਏ", "ਨੂੰ", "ਪ੍ਰਦਾਨ", "ਕੀਤਾ", "ਗਿਆ", "।" ]	[ "O", "O", "O", "O", "B-ORG", "I-ORG", "I-ORG", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਭਾਰਤ", "ਸਰਕਾਰ", "ਯੋਗ", "ਲਾਭਾਰਥੀਆਂ", "ਨੂੰ", "3", "%", "ਵਿਆਜ", "ਸਬਵੈਂਸ਼ਨ", "ਮੁਹੱਈਆ", "ਕਰਵਾਏਗੀ", "।" ]	[ "B-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਜਾਰਜਟਾਊਨ", ",", "ਐਕਸੂਮਾ" ]	[ "B-ORG", "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.	[ "ਅਜਿਹੀ", "ਸਥਿਤੀ", "ਵਿੱਚ", "ਹਿਸਾਰ", "ਦੇ", "ਹੰਸੀ", "ਵਿੱਚ", "ਦਲਿਤ", "ਅਧਿਕਾਰ", "ਕਾਰਕੁਨ", "ਅਤੇ", "ਐਡਵੋਕੇਟ", "ਰਜਤ", "ਕਲਸਨ", "ਵੱਲੋਂ", "ਸਾਬਕਾ", "ਕ੍ਰਿਕਟਰ", "ਯੁਵਰਾਜ", "ਸਿੰਘ", "ਖਿਲਾ", "-", "ਫ", "ਸ਼ਿਕਾਇਤ", "ਕੀਤੀ", "ਗਈ", "ਹੈ", "।" ]	[ "O", "O", "O", "B-LOC", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਭੁੱਚੋ", "ਮੰਡੀ", ",", "1", "ਫਰਵਰੀ" ]	[ "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.	[ "ਹਾਜੀ", "ਐਜੂਕੇਸ਼ਨ", "ਫਾਉਂਡੇਸ਼ਨ", "ਦੇ", "ਟਰੱਸਟੀ", "ਮੁਹੰਮਦ", "ਸਲੀਮ", "ਹਾਜੀ", ",", "ਤਸਨੀਮ", "ਹਾਜੀ", "ਅਤੇ", "ਸੱਬ੍ਹਾ", "ਹਾਜੀ", "ਹਨ", "।" ]	[ "B-ORG", "I-ORG", "I-ORG", "O", "O", "B-PER", "I-PER", "I-PER", "O", "B-PER", "I-PER", "O", "B-PER", "I-PER", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਪਰਿੰਟ", "ਕਰਨ", "ਲਈ", "ਸਫ਼ਾ", "ਸੈਟਿੰਗ", "ਸੈਟਅੱਪ" ]	[ "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਮੋਦੀ", "ਨੂੰ", "ਕਿਉਂ", "ਚੁਣਿਆ", "ਗਿਆ", "?" ]	[ "B-PER", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਉਨ੍ਹਾਂ", "ਨੇ", "ਕਿਹਾ", "ਕਿ", "ਉਹ", "ਨਰਿੰਦਰ", "ਮੋਦੀ", "ਨੂੰ", "ਪ੍ਰਧਾਨ", "ਮੰਤਰੀ", "ਦੇਖਣਾ", "ਚਾਹੁੰਦਾ", "ਹਨ", "।" ]	[ "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਡੈਥ", "ਬੈਲ", "(", "2008", ")" ]	[ "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.	[ "ਸ਼ਿਮਲਾ", "ਦਾ", "ਹੇਠਲਾ", "ਪਾਰਾ", "6.5", "ਡਿਗਰੀ", "ਰਿਹਾ", "।" ]	[ "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.	[ "ਉਸ", "ਦਾ", "ਪਿਤਾ", ",", "ਆਰਥਰ", "ਮੈਕਸ", "ਬਾਰੇਟ", "ਇੱਕ", "ਪ੍ਰਮੁੱਖ", "ਪਾਥੋਲੌਜਿਸਟ", "ਸੀ", "ਅਤੇ", "ਉਹ", "ਐਲਿਜ਼ਾਬੇਥ", "ਗਾਰੇਟ", "ਐਂਡਰਸਨ", "ਦਾ", "ਸੰਬੰਧੀ", "ਸੀ", "ਅਤੇ", "ਉਹ", "ਮੈਕਸ", "ਦੀ", "ਨਾਨੀ", "ਐਲਨ", "ਗਾਰੇਟ", ",", "ਜੋ", "ਐਲਿਜ਼ਾਬੇਥ", "ਦੀ", "ਕਜ਼ਨ", "ਸੀ", ",", "ਉਸ", "ਵਲੋਂ", "ਸੰਬੰਧਿਤ", "ਸੀ", "।" ]	[ "O", "O", "O", "O", "B-PER", "I-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "B-PER", "O", "O", "B-PER", "I-PER", "O", "O", "B-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਜੀ", ".", "ਕੇ", ".", "ਨੇ", "ਕਿਹਾ", "ਕਿ", "ਐਸ", "." ]	[ "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਮੰਤਰੀ", "ਨੇ", "ਯਾਦ", "ਕੀਤਾ", "ਕਿ", "ਜਪਾਨ", "ਸਰਕਾਰ", "ਨੇ", "ਚੀਨ", "ਤੋਂ", "ਜਪਾਨੀ", "ਨਿਵੇਸ਼", "ਕੱਢਣ", "ਅਤੇ", "ਇਸ", "ਨੂੰ", "ਹੋਰ", "ਕਿਤੇ", "ਨਿਵੇਸ਼", "ਕਰਨ", "ਦੇ", "ਲਈ", "ਆਪਣੇ", "ਉਦਯੋਗਾਂ", "ਨੂੰ", "ਵਿਸ਼ੇਸ਼", "ਪੈਕੇਜ", "ਦੀ", "ਪੇਸ਼ਕਸ਼", "ਕੀਤੀ", "ਹੈ", "।" ]	[ "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "I-ORG", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਉਨ੍ਹਾਂ", "ਦੀ", "ਔਸਤਨ", "ਸਾਲਾਨਾ", "ਕਮਾਈ", "4.12", "ਕਰੋੜ", "ਹੈ", "." ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਫਿਲਹਾਲ", "ਉਹ", "ਦਿੱਲੀ", "ਵਿੱਚ", "ਆਪਣਾ", "ਇਲਾਜ", "ਕਰਵਾ", "ਰਹੇ", "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.	[ "ਰੀਟਰਜ਼", "/", "ਬਰੈਂਡਨ", "ਮੈਕਡਰਮਿਡ", "/", "ਫਾਈਲ", "ਫੋਟੋ" ]	[ "B-PER", "O", "B-PER", "I-PER", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਗੁਰਜੀਤ", "ਸਿੰਘ", "ਤੇ", "ਹੋਰ", "ਅਧਿਕਾਰੀ", "ਮੌਜੂਦ", "ਸਨ", "।" ]	[ "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.	[ "ਸ਼ਹਿਰੀ", "ਹਵਾਬਾਜ਼ੀ", "ਮੰਤਰੀ", "ਸੁਰੇਸ਼", "ਪ੍ਰਭੂ", "ਨੇ", "ਹਾਦਸੇ", "ਦੀ", "ਜਾਂਚ", "ਦੇ", "ਹੁਕਮ", "ਦਿੱਤੇ", "ਹਨ", "।" ]	[ "B-PER", "I-PER", "I-PER", "I-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.	[ "ਜੋ", "ਰੂਟ", "(", "ਕਪਤਾਨ", ")", ",", "ਜੇਮਸ", "ਐਂਡਰਸਨ", ",", "ਜੋਫਰਾ", "ਆਰਚਰ", ",", "ਜਾਨੀ", "ਬੇਅਸਰਸਟੋ", ",", "ਡੋਮ", "ਬੇਸ", ",", "ਸਟੁਅਰਟ", "ਬ੍ਰਾਡ", ",", "ਰੋਰੀ", "ਬਰਨਸ", ",", "ਜੈਕ", "ਕ੍ਰਾਲੇ", ",", "ਬੇਨ", "ਫੋਕਸ", ",", "ਡੈਨ", "ਲਾਰੇਂਸ", ",", "ਜੈਕ", "ਲੀਚ", ",", "ਓਲੀ", "ਪੋਪ", ",", "ਡੋਮ", "ਸਿਬਲੇ", ",", "ਬੇਨ", "ਸਟੋਕਸ", ",", "ਓਲੀ", "ਸਟੋਨ", ",", "ਕ੍ਰਿਸ", "ਵੋਕਸ", ",", "ਮਾਰਕ", "ਵੁੱਡ", "।" ]	[ "O", "B-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", "O", "O", "O", "B-PER", "I-PER", "I-PER", "I-PER", "B-PER", "I-PER", "I-PER", "O", "O", "B-PER", "B-PER", "I-PER", "I-PER", "I-PER", "I-PER", "B-PER", "I-PER", "O", "B-PER", "I-PER", "I-PER", "I-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.	[ "ਉਹ", "ਆਮ", "ਆਦਮੀ", "ਪਾਰਟੀ", "ਦੇ", "ਹੱਕ", "ਵਿੱਚ", "ਫ਼ਤਵਾ", "ਚਾਹੁੰਦੇ", "ਹਨ", "ਕਿਉਂਕਿ", "ਇਹ", "ਪਾਰਟੀ", "ਨਵੀਂ", "ਰਾਜਨੀਤੀ", "ਦਾ", "ਵਾਅਦਾ", "ਕਰਦੀ", "ਹੈ", "।" ]	[ "O", "O", "O", "B-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.	[ "ਕੋਲਮੈਨ", "ਨੇ", "ਕਲੇਅਰ", "ਫੋਏ", "ਦੀ", "ਜਗ੍ਹਾ", "ਲੈ", "ਲਈ", ",", "ਜਿਸਨੇ", "ਐਲਿਜ਼ਾਬੈਥ", "ਦੇ", "ਛੋਟੇ", "ਰੂਪ", "ਵਿਚ", "ਭੂਮਿਕਾ", "ਲਈ", "ਗੋਲਡਨ", "ਗਲੋਬ", "ਜਿੱਤਿਆ", "." ]	[ "B-PER", "O", "O", "B-PER", "O", "O", "O", "O", "O", "O", "B-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "\"", "ਅਸੀਂ", "ਸਪੱਸ਼ਟ", "ਕਰ", "ਰਹੇ", "ਹਾਂਃ", "ਦੱਖਣੀ", "ਚੀਨ", "ਸਾਗਰ", "ਦੇ", "ਬਹੁਤੇ", "ਹਿੱਸੇ", "ਵਿੱਚ", "ਬੇਸ਼ੱਕ", "ਸਰੋਤਾਂ", "ਦੇ", "Beijingਹਿਣ", "ਦੇ", "ਦਾਅਵੇ", "ਪੂਰੀ", "ਤਰ੍ਹਾਂ", "ਗੈਰਕਾਨੂੰਨੀ", "ਹਨ", ",", "ਜਿਵੇਂ", "ਕਿ", "ਉਨ੍ਹਾਂ", "ਨੂੰ", "ਕਾਬੂ", "ਕਰਨ", "ਲਈ", "ਇਸ", "ਦੀ", "ਧੱਕੇਸ਼ਾਹੀ", "ਦੀ", "ਮੁਹਿੰਮ", "ਹੈ", ",", "\"", "ਟਰੰਪ", "ਪ੍ਰਸ਼ਾਸਨ", "ਦੇ", "ਇੱਕ", "ਪ੍ਰਮੁੱਖ", "ਚਰਚਿਤ", "ਬਾਜ਼", "ਪੋਂਪੀਓ", "ਨੇ", "ਕਿਹਾ", "।" ]	[ "O", "O", "O", "O", "O", "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", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਏਪੀਐਮਐਲ", "ਦੇ", "ਆਗੂਆਂ", "ਨੇ", "ਕਿਹਾ", "ਕਿ", "ਉਨ੍ਹਾਂ", "ਦਾ", "ਮੰਨਣਾ", "ਹੈ", "ਕਿ", "ਵਰਤਮਾਨ", "ਚੋਣ", "ਕਮਿਸ਼ਨ", "ਅਧੀਨ", "ਨਿਰਪੱਖ", "ਤੇ", "ਮੁਕਤ", "ਚੋਣਾਂ", "ਹੋਣੀਆਂ", "ਸੰਭਵ", "ਨਹੀਂ", "।" ]	[ "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਫੇਰਵੇਲ", "ਝੀਲ", "ਸੀਪਲੇਨ", "ਬੇਝ" ]	[ "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.	[ "ਯਿਸੂ", ",", "ਮਸੀਹੀ", "ਕਲੀਸਿਯਾ", "ਦੀ", "ਨੀਂਹ", "ਦਾ", "ਮੁੱਖ", "ਪੱਥਰ", "ਬਣਿਆ", "।" ]	[ "B-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਇਸ", "ਨੂੰ", "ਝਟਕੋ" ]	[ "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the 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", "ਪਹਿਲਾਂ", "ਟਾਸ", "ਜਿੱਤ", "ਕੇ", "ਬੱਲੇਬਾਜ਼ੀ", "ਕਰਨ", "ਦਾ" ]	[ "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.	[ "'", "ਈਜ", "ਆਫ", "ਲਿਵਿੰਗ", "'", "ਪ੍ਰੇਜੇਂਟੇਸ਼ਨ", "ਨੂੰ", "ਖੇਤੀਬਾੜੀ", "ਰਾਜ", "ਮੰਤਰੀ", "ਗਜੇਂਦਰ", "ਸਿੰਘ", "ਸ਼ੇਖਾਵਤ", ",", "ਕੌਸ਼ਲ", "ਵਿਕਾਸ", "ਰਾਜ", "ਮੰਤਰੀ", "ਅਨੰਤ", "ਕੁਮਾਰ", "ਹੇਗੜੇ", "ਅਤੇ", "ਸ਼ਹਿਰੀ", "ਵਿਕਾਸ", "ਅਤੇ", "ਆਵਾਸ", "ਮੰਤਰੀ", "ਹਰਦੀਪ", "ਸਿੰਘ", "ਨਗਰੀ", "ਨੇ", "ਪੇਸ਼", "ਕੀਤਾ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "B-ORG", "O", "O", "B-PER", "I-PER", "I-PER", "O", "B-PER", "I-PER", "I-PER", "I-PER", "I-PER", "I-PER", "I-PER", "O", "B-PER", "I-PER", "I-PER", "I-PER", "I-PER", "I-PER", "I-PER", "I-PER", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਅੰਬਾਲਾ", "ਤੇ", "ਫਿਰੋਜ਼ਪੁਰ", "ਰੇਲ", "ਡਵੀਜ਼ਨਾਂ", "ਦੇ", "ਅਧਿਕਾਰੀਆਂ", "ਨੇ", "ਦੱਸਿਆ", "ਕਿ", "ਕੁਝ", "ਥਾਵਾਂ", "'", "ਤੇ", "ਰੇਲ", "ਪਟੜੀਆਂ", "'", "ਤੇ", "ਧਰਨੇ", "ਦੇਣ", "ਕਾਰਨ", "ਪੰਜਾਬ", "ਤੇ", "ਹਰਿਆਣਾ", "ਵਿਚ", "ਰੇਲ", "ਸੇਵਾਵਾਂ", "ਵਿਚ", "ਭਾਰੀ", "ਵਿਘਨ", "ਪਿਆ", "।" ]	[ "B-ORG", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਹਰ", "ਡੱਬੇ", "ਵਾਲੇ", "ਕੋਲ", "ਆਪਣਾ", "ਸ਼ਨਾਖਤੀ", "ਕਾਰਡ", "ਹੁੰਦਾ", "ਹੈ", "ਤੇ", "ਉਹ", "ਚਿੱਟੇ", "ਕੁੜਤੇ", "-", "ਪਜਾਮਿਆਂ", "ਅਤੇ", "ਟੋਪੀਆਂ", "ਤੋਂ", "ਪਛਾਣੇ", "ਜਾਂਦੇ", "ਹਨ", "।" ]	[ "O", "B-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "(", "ੳ", ")", "ਯਿਸੂ", "ਨੇ", "ਵਿਆਹ", "ਬਾਰੇ", "ਕੀ", "ਸਿਖਾਇਆ", "?" ]	[ "O", "O", "O", "B-PER", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਇਹਨ੍ਹਾਂ", "ਤੋਂ", "ਇਲਾਵਾ", "ਬਸਪਾ", "ਉਮੀਦਵਾਰ", "ਵੀ", "ਚੋਣ", "ਮੈਦਾਨ", "ਵਿਚ", "ਡਟੇ", "ਹੋਏ", "ਹਨ", "।" ]	[ "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਸੋਨੀ", "ਐਕਸਪੀਰੀਆ", "R1", "ਤੇ", "R1", "ਪਲੱਸ", "ਦੀ", "ਕੀਮਤ", "ਕ੍ਰਮਵਾਰ", "12,990", "ਤੇ", "14,990", "ਰੁਪਏ", "ਹੈ", "।" ]	[ "B-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "\"", "ਸੈਨੀਕ", "ਸਕੂਲ", "ਦੇ", "ਪ੍ਰਿੰਸੀਪਲ", "ਕਰਨਲ", "ਵਿਕਾਸ", "ਮੋਹਨ", "ਨੇ", "ਕਿਹਾ", ",", "\"", "\"", "ਸਾਨੂੰ", "ਸਕੂਲ", "ਦੀ", "ਥਾਂ", "ਬਦਲਣ", "ਬਾਰੇ", "ਕੋਈ", "ਸਰਕਾਰੀ", "ਜਾਣਕਾਰੀ", "ਪ੍ਰਾਪਤ", "ਨਹੀਂ", "ਹੋਈ", "।", "\"" ]	[ "O", "B-ORG", "I-ORG", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਕਾਂਗਰਸ", "ਦੇ", "ਦੋਵੇਂ", "ਸਦਨਾਂ", "ਵਿੱਚ", "ਰਿਪਬਲਿਕਨਾਂ", "ਨੂੰ", "ਬਹੁਮਤ", "ਹਾਸਲ", "ਹੈ", "।" ]	[ "B-ORG", "O", "O", "O", "O", "B-ORG", "I-ORG", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਇਹ", "ਸੈਮੀਨਾਰ", "ਗੁਰੂ", "ਨਾਨਕ", "ਦੇਵ", "ਦੇ", "550ਵੇਂ", "ਪ੍ਰਕਾਸ਼", "ਵਰ੍ਹੇ", "ਨੂੰ", "ਸਮਰਪਿਤ", "ਸੀ", "।" ]	[ "O", "O", "B-PER", "I-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O" ]