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You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਫੌਜ", "ਦੇ", "ਬੁਲਾਰੇ", "ਮੇਜਰ", "ਜਨਰਲ", "ਆਸਿਫ", "ਗਫੂਰ", "ਨੇ", "ਪੱਤਰਕਾਰਾਂ", "ਨਾਲ", "ਗੱਲਬਾਤ", "ਵੀ", "ਕੀਤੀ", "।" ]
[ "B-ORG", "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.
[ "ਪ੍ਰਧਾਨ", "ਮੰਤਰੀ", "ਇਮਰਾਨ", "ਖ਼ਾਨ", "ਨੇ", "ਘਟਨਾ", "ਦੀ", "ਜਾਂਚ", "ਦੇ", "ਨਿਰਦੇਸ਼", "ਦਿੱਤੇ", "ਹਨ", "।" ]
[ "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਪੰਜਾਬ", "ਸਰਕਾਰ", "ਨੇ", "ਤਿੰਨ", "ਆਈਏਐਸ", "ਅਤੇ", "ਤਿੰਨ", "ਪੀਸੀਐਸ", "ਅਧਿਕਾਰੀਆਂ", "ਦੇ", "ਤਬਾਦਲੇ", "ਕੀਤੇ", "ਹਨ", "।" ]
[ "O", "O", "O", "O", "B-ORG", "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.
[ "ਰਾਸ਼ਟਰੀ", "ਬਾਗਬਾਨੀ", "ਬੋਰਡ", "(", "ਐੱਨਐੱਚਬੀ", ")", "ਨੇ", "ਨਰਸਰੀਆਂ", "ਦੇ", "ਸਟਾਰ", "-", "ਰੇਟਿਡ", "(", "star", "-", "rated", ")", "ਸਰਟੀਫਿਕੇਟ", "ਦੀ", "ਮਿਆਦ", "30", "ਸਤੰਬਰ", "2020", "ਤੱਕ", "ਵਧਾ", "ਦਿੱਤੀ", "ਹੈ", ",", "ਜਿਸ", "ਦੀ", "ਮਿਆਦ", "30", "ਜੂਨ", "2020", "ਨੂੰ", "ਸਮਾਪਤ", "ਹੋ", "ਰਹੀ", "ਸੀ", "।" ]
[ "B-ORG", "I-ORG", "I-ORG", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਇਹ", "ਸਬ", "-", "ਕਮੇਟੀ", "ਸਿਹਤ", "ਮੰਤਰੀ", "ਬ੍ਰਹਮ", "ਮਹਿੰਦਰਾ", "ਦੀ", "ਅਗਵਾਈ", "ਵਿੱਚ", "ਕੰਮ", "ਕਰੇਗੀ", "ਜਿਸ", "ਵਿੱਚ", "ਵਿੱਤ", "ਮੰਤਰੀ", "ਮਨਪ੍ਰੀਤ", "ਬਾਦਲ", ",", "ਸਥਾਨਕ", "ਸਰਕਾਰਾਂ", "ਬਾਰੇ", "ਮੰਤਰੀ", "ਨਵਜੋਤ", "ਸਿੰਘ", "ਸਿੱਧੂ", ",", "ਤਕਨੀਕੀ", "ਸਿੱਖਿਆ", "ਮੰਤਰੀ", "ਚਰਨਜੀਤ", "ਸਿੰਘ", "ਚੰਨੀ", "ਅਤੇ", "ਪੇਂਡੂ", "ਵਿਕਾਸ", "ਮੰਤਰੀ", "ਤ੍ਰਿਪਤ", "ਰਜਿੰਦਰ", "ਸਿੰਘ", "ਬਾਜਵਾ", "ਮੈਂਬਰ", "ਹੋਣਗੇ", "।" ]
[ "O", "B-ORG", "I-ORG", "I-ORG", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "B-PER", "I-PER", "I-PER", "O", "O", "O", "O", "B-PER", "I-PER", "I-PER", "O", "O", "O", "O", "B-PER", "I-PER", "I-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.
[ "ਸੂਤਰਾਂ", "ਨੇ", "ਕਿਹਾ", "ਕਿ", "ਗੋਲੀਬਾਰੀ", "'", "ਚ", "31", "ਰਾਸ਼ਟਰੀ", "ਰਾਈਫਲਜ਼", "ਦਾ", "ਕਮਾਂਡੋ", "ਜ਼ਖ਼ਮੀ", "ਹੋ", "ਗਿਆ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਪ੍ਰਧਾਨ", "ਮੰਤਰੀ", "ਨੇ", "ਇਹ", "ਨੁਕਤਾ", "ਵੀ", "ਉਜਾਗਰ", "ਕੀਤਾ", "ਕਿ", "ਸੰਕਟ", "ਦੌਰਾਨ", "ਭਾਰਤ", "ਨੇ", "ਇਨਸਾਨੀਅਤ", "ਦੀ", "ਜ਼ਿੰਮੇਵਾਰੀ", "ਨਿਭਾਉਂਦਿਆਂ", "ਭਾਰਤ", "ਨੇ", "ਦੁਨੀਆ", "'", "ਚ", "ਜ਼ਰੂਰਤਮੰਦਾਂ", "ਨੂੰ", "ਮੈਡੀਕਲ", "ਸਪਲਾਈਜ਼", "ਮੁਹੱਈਆ", "ਕਰਵਾਈਆਂ", "ਹਨ", "।" ]
[ "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" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਜਿਸ", "ਕਾਰਨ", "ਗੰਭੀਰ", "ਜਖਮੀ", "ਹਾਲਤ", "ਵਿੱਚ", "ਉਸਨੂੰ", "ਗੁਰੂ", "ਗੋਬਿੰਦ", "ਸਿੰਘ", "ਮੈਡੀਕਲ", "ਕਾਲਜ", "ਵਿੱਚ", "ਭਰਤੀ", "ਕਰਵਾਇਆ", "ਗਿਆ", "ਜਿੱਥੇ", "ਉੱਤੇ", "ਉਸ", "ਨੇ", "ਦਮ", "ਤੋੜ", "ਦਿੱਤਾ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "B-LOC", "I-LOC", "I-LOC", "I-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਰਾਹੁਲ", "ਗਾਂਧੀ", "ਨੇ", "ਮੀਡੀਆ", "ਨੂੰ", "ਦਿੱਤੇ", "ਆਪਣੇ", "ਬਿਆਨ", "ਵਿਚ", "ਅਨਿਲ", "ਅੰਬਾਨੀ", "ਨੂੰ", "ਕ੍ਰੋਨੀ", "ਕੈਪੀਟਲਿਸਟ", "ਅਤੇ", "ਬੇਈਮਾਨ", "ਦੱਸਿਆ", "।" ]
[ "O", "B-PER", "O", "O", "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.
[ "ਇਹ", "ਫੈਸਲਾ", "ਮੁੱਖ", "ਮੰਤਰੀ", "ਕੈਪਟਨ", "ਅਮਰਿੰਦਰ", "ਸਿੰਘ", "ਦੀ", "ਪ੍ਰਧਾਨਗੀ", "ਹੇਠ", "ਵੀਡਿਓ", "ਕਾਨਫਰੰਸ", "ਰਾਹੀਂ", "ਹੋਈ", "ਕੈਬਨਿਟ", "ਮੀਟਿੰਗ", "ਵਿੱਚ", "ਲਿਆ", "ਗਿਆ", "।" ]
[ "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਕਾਂਗਰਸ", "ਨੇ", "ਭਾਜਪਾ", "ਤੋਂ", "ਖੋਹੀ", "ਜੈਨਗਰ", "ਵਿਧਾਨ", "ਸਭਾ", "ਸੀਟ" ]
[ "B-ORG", "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.
[ "ਰਾਜਨੀਤਿਕ", "ਸ਼ਕਤੀ" ]
[ "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਅਨਿਲ", "ਅੰਬਾਨੀ", "ਦੀ", "ਰਿਲਾਇੰਸ", "ਗਰੁੱਪ", "ਦੀ", "ਕੰਪਨੀ", "ਰਿਲਾਇੰਸ", "ਕੈਪੀਟਲ", "ਨੇ", "ਇੱਕ", "ਬਿਆਨ", "ਵਿਚ", "ਪ੍ਰਸਤਾਵਿਤ", "ਸੌਦੇ", "ਨੂੰ", "ਆਰਸੀਏਪੀ", "ਗਰੁੱਪ", "ਨਾਲ", "ਕੁਝ", "ਲੋਨ", "ਸਮਝੌਤਿਆਂ", "ਦੇ", "ਤਹਿਤ", "ਕ੍ਰੈਡਿਟ", "ਸੁਇਸ", "ਦੁਆਰਾ", "ਬਣਾਏ", "ਅਧਿਕਾਰਾਂ", "ਦੀ", "ਸਪੱਸ਼ਟ", "ਉਲੰਘਣਾ", "ਕਰਾਰ", "ਦਿੱਤਾ", "ਹੈ", "।" ]
[ "B-PER", "I-PER", "O", "B-ORG", "I-ORG", "O", "O", "B-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਹੁਣ", "G", "-", "7", "ਦੇਸ਼ਾਂ", "'", "ਚ", "ਅਮਰੀਕਾ", "ਤੋਂ", "ਇਲਾਵਾ", "ਬ੍ਰਿਟੇਨ", ",", "ਫਰਾਂਸ", ",", "ਕੈਨੇਡਾ", ",", "ਜਰਮਨੀ", ",", "ਇਟਲੀ", "ਤੇ", "ਜਪਾਨ", "ਸ਼ਾਮਲ", "ਹਨ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "B-LOC", "O", "O", "B-LOC", "O", "B-LOC", "O", "B-LOC", "O", "B-LOC", "O", "B-LOC", "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.
[ "ਮੁੰਬਈਃ", "ਮਰਹੂਮ", "ਅਦਾਕਾਰ", "ਸੁਸ਼ਾਂਤ", "ਸਿੰਘ", "ਰਾਜਪੂਤ", "ਦੀ", "ਅੰਤਿਮ", "ਫਿਲਮ", "'", "ਦਿਲ", "ਬੇਚਾਰਾ", "'", "ਡਿਜੀਟਲ", "ਰਿਲੀਜ਼", "ਲਈ", "ਤਿਆਰ", "ਹੈ", "।" ]
[ "O", "B-LOC", "O", "B-PER", "I-PER", "I-PER", "O", "O", "O", "O", "B-PER", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਇਸ", "ਦਾ", "ਨਿਰਦੇਸ਼ਨ", "ਕਬੀਰ", "ਖਾਨ", "ਨੇ", "ਕੀਤਾ", "ਹੈ", "।" ]
[ "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "□", "ਝੂਠੇ", "ਧਰਮ", "ਨੇ", "ਕਿਵੇਂ", "ਕਇਨ", "ਦੀ", "ਮਨੋਬਿਰਤੀ", "ਦਿਖਾਈ", "ਹੈ", "?" ]
[ "O", "O", "O", "O", "O", "B-PER", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਰੇਲਵੇ", "ਬੋਰਡ", "ਦੇ", "ਇਕ", "ਅਧਿਕਾਰੀ", "ਨੇ", "ਕੀਮਤਾਂ", "ਵਧਾਉਣ", "ਦਾ", "ਪੱਖ", "ਲੈਂਦੇ", "ਹੋਏ", "ਕਿਹਾ", ",", "'", "ਅਸੀਂ", "ਰੇਲਵੇ", "'", "ਚ", "ਕੈਟਰਿੰਗ", "ਸਰਵਿਸ", "ਦੀ", "ਗੁਣਵੱਤਾ", "ਸੁਧਾਰਨਾ", "ਚਾਹੁੰਦੇ", "ਹਾਂ", "।" ]
[ "B-ORG", "I-ORG", "O", "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" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the 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", "ਗਾਣੇ", "ਦਾ", "ਮਿਊਜ਼ਿਕ", "ਦੇਸੀ", "ਕਰਿਊ", "ਨੇ", "ਤਿਆਰ", "ਕੀਤਾ", "ਹੈ", "।" ]
[ "O", "O", "O", "O", "O", "B-PER", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਉਸਨੇ", "ਕਿਹਾ", ",", "\"", "ਵੈਲੇਨਟਾਈਨ", "ਡੇਅ", "ਲਈ", "ਇਕ", "ਖ਼ਾਸ", "ਭੋਜਨ", ",", "ਲਾਲ", "ਦੀ", "ਇਕ", "ਰਾਖਵੀਂ", "ਬੋਤਲ", ",", "\"", "ਉਸਨੇ", "ਆਪਣੀ", "ਆਮ", "ਹੈਸ਼ਟੈਗ", "#", "ਹੈਂਗਿੰਥੇਥੇਡਰ", "ਡਾਇਮੰਡਪ੍ਰਿੰਸਿਸ", "ਅਤੇ", "ਇਕ", "ਸ਼ਰਾਬ", "ਦੀ", "ਬੋਤਲ", "ਦੀ", "ਤਸਵੀਰ", "ਦੇ", "ਨਾਲ", "ਕਿਹਾ", "." ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਉਨ੍ਹਾਂ", "ਕਿਹਾ", "ਕਿ", "ਕੇਂਦਰ", "ਸਰਕਾਰ", "ਪੰਜਾਬ", "ਦੇ", "ਮਾਮਲਿਆਂ", "ਵਿੱਚ", "ਵਿਤਕਰਾ", "ਕਰਦੀ", "ਆਈ", "ਹੈ", "।" ]
[ "O", "O", "O", "B-ORG", "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.
[ "ਮੋਹਿੰਦਰ", "ਸਿੰਘ", "ਅਤੇ", "ਡਾ", "." ]
[ "B-PER", "I-PER", "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.
[ "ਅਲਾਹਾਬਾਦ", "ਖੇਤੀਬਾੜੀ", "ਸੰਸਥਾ" ]
[ "B-ORG", "I-ORG", "I-ORG" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਕਿਮ", "ਨੇ", "ਲਿਖਿਆ", "." ]
[ "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.
[ "ਸਟੀਵਨ", "ਸਪੀਲਬਰਗ", "ਅਤੇ", "ਗਿਲਰਮੋ", "ਡੇਲ", "ਟੋਰੋ", "ਤੋਂ", "ਲੈ", "ਕੇ", "ਜੈਨੀਫਰ", "ਲੋਪੇਜ਼", "ਅਤੇ", "ਰੀਜ਼", "ਵਿਦਰਸਪੂਨ", "ਤੱਕ", "ਦੇ", "ਉਦਯੋਗ", "ਦੇ", "ਪ੍ਰਮੁੱਖ", "ਅਤੇ", "ਸਿਤਾਰਿਆਂ", "ਨੇ", "ਨੌਜਵਾਨਾਂ", "ਲਈ", "ਕੇਂਦਰਿਤ", ",", "ਸਮਾਰਟਫੋਨ", "-", "ਸਿਰਫ", "ਸੇਵਾ", "ਲਈ", "ਫਿਲਮਾਂ", "ਅਤੇ", "ਸ਼ੋਅ", "ਬਣਾਉਣ", "ਲਈ", "ਕਤਾਰਬੱਧ", "ਕੀਤੇ", "." ]
[ "B-PER", "I-PER", "O", "B-PER", "I-PER", "I-PER", "O", "O", "O", "B-PER", "I-PER", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਉਧਰ", "ਹਿੰਸਾ", "ਦੇ", "ਡਰੋਂ", "ਦੁਕਾਨਾਂ", ",", "ਮਿਊਜ਼ੀਅਮ", ",", "ਦਿ", "ਆਈਫਲ", "ਟਾਵਰ", "ਤੇ", "ਕਈ", "ਮੈਟਰੋ", "ਸਟੇਸ਼ਨ", "ਬੰਦ", "ਕਰ", "ਦਿੱਤੇ", "ਗਏ", "ਹਨ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "I-LOC", "I-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਫਿਲਹਾਲ", "ਪੁਲਿਸ", "ਨੇ", "ਅਣਪਛਾਤੇ", "ਵਿਅਕਤੀਆਂ", "ਖ਼ਿਲਾਫ", "ਹੱਤਿਆ", "ਦਾ", "ਮਾਮਲਾ", "ਦਰਜ", "ਕੀਤਾ", "ਹੈ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਬੈਂਕ", "ਗਾਹਕਾਂ", "ਲਈ", "ਖੁਸ਼ਖਬਰੀ", "!" ]
[ "B-ORG", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਫਿਲਮ", "ਦੇ", "ਸਿਰਲੇਖ", "ਨੂੰ", "ਇੱਕ", "ਲੋਕਾਂ", "ਨੂੰ", "ਪਿਆਰਾ", "ਵੋਟ", "ਵਲੋਂ", "ਤੈਅ", "ਕੀਤਾ", "ਗਿਆ", ".", "ਮੂਵੀਗੋਅਰਸ", "ਨੇ", "ਪੰਜਾਬ", "ਮੇਲ", ",", "ਇਸ਼ਕ", "ਵਾਇਆ", "ਭਟਿੰਡਾ", ",", "ਅਤੇ", "ਜਦੋਂ", "ਵੀ", "ਮੇਟ", "ਦੇ", "ਵਿਕਲਪ", "ਦਿੱਤੇ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "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.
[ "ਟਰੰਪ", "ਨੇ", "ਕਿਹਾ", ",", "\"", "ਸਾਨੂੰ", "ਕਿਤੇ", "ਵੀ", "ਕੱਟੜਪੰਥੀ", "ਅਤੇ", "ਪੱਖਪਾਤ", "ਦਾ", "ਸਾਹਮਣਾ", "ਕਰਨ", "ਲਈ", "ਮਿਲ", "ਕੇ", "ਕੰਮ", "ਕਰਨ", "ਦੀ", "ਲੋੜ", "ਹੈ", ",", "ਪਰ", "ਅਸੀਂ", "ਕੋਈ", "ਪ੍ਰਗਤੀ", "ਨਹੀਂ", "ਕਰਾਂਗੇ", "ਅਤੇ", "ਲੱਖਾਂ", "ਸਲੀਕੇ", "ਵਾਲੇ", "ਅਮਰੀਕੀ", "ਲੋਕਾਂ", "ਨੂੰ", "ਜਾਤੀਗਤ", "ਜਾਂ", "ਕੱਟੜਪੰਥੀ", "ਵਜੋਂ", "ਝੂਠੇ", "ਲੇਬਲ", "ਦੇ", "ਕੇ", "ਕੋਈ", "ਜ਼ਖਮ", "ਚੰਗਾ", "ਨਹੀਂ", "ਕਰਾਂਗੇ", "।" ]
[ "B-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "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.
[ "ਇਨ੍ਹਾਂ", "ਤਸਵੀਰਾਂ", "'", "ਚ", "ਦੀਪਿਕਾ", "ਪਾਦੁਕੋਣ", "ਤੇ", "ਰਣਵੀਰ", "ਭਾਰਤੀ", "ਪੋਸ਼ਕਾਂ", "'", "ਚ", "ਸਜੇ", "ਹੋਏ", "ਨਜ਼ਰ", "ਆ", "ਰਹੇ", "ਸਨ", "।" ]
[ "O", "O", "O", "O", "B-PER", "O", "O", "B-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਫੈਡਰਰ", ",", "ਜੋ", "ਆਪਣੀ", "ਦੱਖਣੀ", "ਅਫਰੀਕਾ", "ਦੀ", "ਮਾਂ", ",", "ਲੀਨੇਟ", "ਦੇ", "ਨਾਲ", "ਸਨ", ",", "ਨੇ", "ਕਿਹਾ", "ਕਿ", "ਦੱਖਣੀ", "ਅਫਰੀਕਾ", "ਵਿੱਚ", "ਉਸਦੀ", "ਪਹਿਲੀ", "ਮੌਜੂਦਗੀ", "ਇੱਕ", "ਖ਼ਾਸ", "ਮੌਕੇ", "ਸੀ", "." ]
[ "B-PER", "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "I-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.
[ "ਸਿਖਲਾਈ", "ਸੈਸ਼ਨ", "." ]
[ "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਉਨਾਂ", "ਨੇ", "ਸਿਹਤ", "ਵਿਭਾਗ", "ਨੂੰ", "ਮੱਛਰਾਂ", "ਦੇ", "ਫੈਲਾਅ", "ਨੂੰ", "ਰੋਕਣ", "ਲਈ", "ਹੜ", "ਪ੍ਰਭਾਵਿਤ", "ਇਲਾਕਿਆਂ", "ਵਿਚ", "ਫੌਗਿੰਗ", "ਕਰਵਾਉਣ", "ਲਈ", "ਆਖਿਆ", "।" ]
[ "O", "O", "B-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਮੁੱਖ", "ਜੱਜ", "ਰੰਜਨ", "ਗੋਗੋਈ", "ਦੀ", "ਅਗਵਾਈ", "ਵਾਲੇ", "ਬੈਂਚ", "ਨੇ", "ਇਹ", "ਹੁਕਮ", "ਦਿੱਤਾ", "ਸੀ", "।" ]
[ "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.
[ "SMB", "ਪਰਿੰਟਰ" ]
[ "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the 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", "ਇੱਥੇ", "ਸਰਕਾਰੀ", "ਹਸਪਤਾਲ", "ਵਿੱਚੋਂ", "ਲਾਸ਼", "ਦਾ", "ਪੋਸਟਮਾਰਟਮ", "ਕਰਵਾਕੇ", "ਵਾਰਸਾਂ", "ਹਵਾਲੇ", "ਕਰ", "ਦਿੱਤੀ", "ਗਈ", "ਹੈ", "।" ]
[ "O", "O", "B-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.
[ "ਮੰਤਰਾਲੇ", "ਨੇ", "ਇਸ", "'", "ਤੇ", "ਟਿੱਪਣੀ", "ਤੋਂ", "ਇਨਕਾਰ", "ਕਰ", "ਦਿੱਤਾ", "ਹੈ", "।" ]
[ "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਇਸਨੇ", "ਨਯੂਯਾਰਕ", "ਯੂਨੀਵਰਸਿਟੀ", "ਤੋਂ", "ਇੰਟਰੈਕਟਿਵ", "ਦੂਰਸੰਚਾਰ", "ਪ੍ਰੋਗਰਾਮ", "ਵਿੱਚ", "ਗ੍ਰੈਜੁਏਟ", "ਡਿਗਰੀ", "ਪ੍ਰਾਪਤ", "ਕੀਤੀ", "।" ]
[ "O", "B-ORG", "I-ORG", "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.
[ "ਜਲੰਧਰ", "-", "ਪੰਜਾਬੀ", "ਗਾਇਕ", "ਗੁਰੂ", "ਰੰਧਾਵਾ", "ਜੋ", "ਕਿ", "ਸੋਸ਼ਲ", "ਮੀਡੀਆ", "'", "ਤੇ", "ਕਾਫੀ", "ਐਕਟਿਵ", "ਰਹਿੰਦੇ", "ਹਨ", "।" ]
[ "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਕੈਬਨਟ", "ਨੇ", "ਡਾਇਰੈਕਟਰ", "ਉਦਯੋਗ", "ਤੇ", "ਮਾਈਨਿੰਗ", "ਦੀ", "ਅਸਾਮੀ", "ਵਿੱਚ", "ਵੀ", "ਵੰਡ", "ਕਰਨ", "ਦਾ", "ਫੈਸਲਾ", "ਕੀਤਾ", "ਹੈ", "।" ]
[ "O", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਐਫਬੀਆਈ", "ਨੂੰ", "ਹਰ", "ਮਹੀਨੇ", "20", "ਤੋਂ", "ਵੱਧ", "ਕੇਸਾਂ", "ਦੀ", "ਰਿਪੋਰਟ", "ਕੀਤੀ", "ਜਾਂਦੀ", "ਹੈ", "ਅਤੇ", "ਪੀੜਤ", "ਦੇ", "ਨਾਮ", "ਨੂੰ", "ਜਨਤਕ", "ਖੇਤਰ", "ਤੋਂ", "ਬਾਹਰ", "ਰੱਖਣ", "ਲਈ", "ਬਹੁਤ", "ਸਾਰੇ", "ਬਿਨਾਂ", "ਰਿਪੋਰਟ", "ਹੁੰਦੇ", "ਹਨ", "।" ]
[ "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਭਾਜਪਾ", "ਦਾ", "ਜੇਤੂ", "ਰਥ", "104", "ਸੀਟਾਂ", "'", "ਤੇ", "ਥਮ", "ਗਿਆ", "ਸੀ", ",", "ਜਦਕਿ", "ਕਾਂਗਰਸ", "ਨੂੰ", "78", "ਅਤੇ", "ਜੇਡੀਐਸ", "ਨੂੰ", "38", "ਸੀਟਾਂ", "ਮਿਲੀਆਂ", "ਹਨ", "।" ]
[ "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "O", "O", "O", "B-ORG", "O", "O", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਚੱਲ", "ਦੇਖੀਏ", "ਇਹ", "ਕਿਵੇਂ", "ਹੋਇਆ", "।" ]
[ "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਅੰਮ੍ਰਿਤ", "ਕੀ", "ਹੈ", "?" ]
[ "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.
[ "ਪੰਜਾਬ", "ਦਾ", "ਤੇਜ਼ੀ", "ਨਾਲ", "ਸ਼ਹਿਰੀਕਰਨ", "ਹੋ", "ਰਿਹਾ", "ਹੈ", "ਅਤੇ", "ਸਮੇਂਦੀ", "ਲੋੜ", "ਸੰਪੂਰਨ", "ਢੰਗ", "ਨਾਲ", "ਪ੍ਰੋਜੈਕਟਾਂ", "ਦੀ", "ਯੋਜਨਾਬੰਦੀ", ",", "ਵਿਕਾਸ", "ਅਤੇ", "ਕਾਰਜਸ਼ੀਲ", "ਕਰਨ", "ਦੀਹੈਤਾਂ", "ਜੋ", "ਸਾਡੇ", "ਸ਼ਹਿਰ", "ਸਾਰੀਆਂ", "ਬੁਨਿਆਦੀ", "ਸਹੂਲਤਾਂ", "ਨਾਲ", "ਲੈਸ", "ਹੋਣ", "।" ]
[ "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" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਧਰਮਿੰਦਰ", "ਯਾਦਵ", "ਬਦਾਯੂ", "ਤੋਂ", ",", "ਅਕਸ਼ੈ", "ਯਾਦਵ", "ਫਿਰੋਜਾਬਾਦ", "ਤੋਂ", ",", "ਕਮਲੇਸ਼", "ਕਠੇਰੀਆ", "ਇਟਾਵਾ", ",", "ਭਾਈਲਾਲ", "ਕੋਲ", "ਰਾਬਰਟਸਗੰਜ", "ਅਤੇ", "ਸ਼ਬੀਰ", "ਬਾਲਮੀਕੀ", "ਬਹਰਾਈਚ", "ਤੋਂ", "ਪਾਰਟੀ", "ਉਮੀਦਵਾਰ", "ਹੋਣਗੇ", "।" ]
[ "B-PER", "I-PER", "B-PER", "O", "O", "B-PER", "I-PER", "B-LOC", "O", "O", "B-PER", "I-PER", "B-LOC", "O", "B-PER", "I-PER", "O", "O", "B-PER", "I-PER", "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.
[ "ਖਹਿਰਾ", "ਨੇ", "ਕੈਪਟਨ", "ਸਰਕਾਰ", "ਵਿਰੁੱਧ", "ਜਾਰੀ", "ਕੀਤੀ", "ਚਾਰਜਸ਼ੀਟ" ]
[ "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.
[ "ਕੈਬਨਿਟ", "ਨੇ", "ਮੰਤਰਾਲੇ", "ਨੂੰ", "ਕਿਹਾ", "ਕਿ", "ਪ੍ਰਸਤਾਵ", "'", "ਤੇ", "ਫ਼ਿਰ", "ਤੋਂ", "ਕੰਮ", "ਕਰੇ", "ਅਤੇ", "ਰਾਸ਼ਨ", "ਦੇ", "ਤਹਿਤ", "ਵਾਧੂ", "ਖੁਰਾਕ", "(", "ਕਣਕ", "ਜਾਂ", "ਚੌਲ", ")", "ਵੰਡਣ", "'", "ਤੇ", "ਵਿਚਾਰ", "ਕੀਤਾ", "ਜਾਵੇ", "।" ]
[ "O", "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", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਸ੍ਰੀਨਗਰ", "-", "ਜੰਮੂ", "-", "ਕਸ਼ਮੀਰ", "ਦੇ", "ਪੁਲਵਾਮਾ", "'", "ਚ", "ਸੁਰੱਖਿਆ", "ਬਲਾਂ", "ਅਤੇ", "ਅੱਤਵਾਦੀਆਂ", "ਵਿਚਾਲੇ", "ਮੁੱਠਭੇੜ", "ਜਾਰੀ", "ਹੈ", "।" ]
[ "B-LOC", "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.
[ "ਫਾਇਲ", "ਹੈਂਡਲਰ", "ਮੱਦਦਗਾਰ" ]
[ "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the 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", "ਪੁਲਿਸ", "ਪੀਆਰਓ", ",", "ਐੱਮਐੱਸ", "ਰੰਧਾਨਾ", "ਨੇ", "ਦੱਸਿਆ", "ਕਿ", "ਜਾਮਾ", "ਮਸਜਿਦ", "ਇਲਾਕੇ", "'", "ਚ", "ਧਾਰਾ", "144", "ਲਾਗੂ", "ਨਹੀਂ", "ਹੈ", "।" ]
[ "B-ORG", "I-ORG", "O", "O", "B-PER", "I-PER", "O", "O", "O", "B-LOC", "I-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.
[ "ਕੱਟੜਵਾਦੀ", "ਹਿੰਦੂਤਵ", "ਵਿਚਾਰਧਾਰਾ", "ਦਾ", "ਬਿੰਬ", "ਮੰਨੇ", "ਜਾਂਦੇ", "ਵਿਵਾਦਿਤ", "ਆਗੂ", "ਯੋਗੀ", "ਆਦਿੱਤਿਆਨਾਥ", "ਉੱਤਰ", "ਪ੍ਰਦੇਸ਼", "ਦਾ", "ਅਗਲਾ", "ਮੁੱਖ", "ਮੰਤਰੀ", "ਬਣੇਗਾ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "B-LOC", "I-LOC", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਹਿਚਨਜ਼", "30", "ਤੋਂ", "ਵੱਧ", "ਕਿਤਾਬਾਂ", "ਦਾ", "ਅਤੇ", "ਰਾਜਨੀਤੀ", ",", "ਸਾਹਿਤ", ",", "ਅਤੇ", "ਧਰਮ", "ਸਮੇਤ", "ਅਨੇਕ", "ਵਿਸ਼ਿਆਂ", "ਤੇ", "ਪੰਜ", "ਲੇਖ", "ਸੰਗ੍ਰਹਿਾਂ", "ਦਾ", "ਲੇਖਕ", ",", "ਸਹਿ", "-", "ਲੇਖਕ", ",", "ਸੰਪਾਦਕ", "ਜਾਂ", "ਸਹਿ", "-", "ਸੰਪਾਦਕ", "ਸੀ", "।" ]
[ "B-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "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", "ਕਈ", "ਟੀਵੀ", "ਸ਼ੋਅ", "ਅਤੇ", "ਫਿਲਮਾਂ", "ਵਿੱਚ", "ਵੀ", "ਕੰਮ", "ਕੀਤਾ", "ਹੈ", ",", "ਜਿਵੇਂ", "ਕਿ", "ਕਾਨੂੰਨ", "ਅਤੇ", "ਵਿਵਸਥਾਃ", "ਸਪੈਸ਼ਲ", "ਵਿਕਟਿਮਸ", "ਯੂਨਿਟ", ",", "ਬੋਰਡ", "ਟੂ", "ਡੈਥ", "ਅਤੇ", "ਮਿਊਜ਼ਿਅਲ", "ਚੇਅਰਜ਼", "।", "\"" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਉਪ", "ਰਾਜਪਾਲ", "ਨੇ", "ਕਿਹਾ", "ਕਿ", "ਇਹ", "ਗੰਭੀਰ", "ਮਾਮਲਾ", "ਹੈ", "ਤੇ", "ਲੱਖਾਂ", "ਲੋਕਾਂ", "ਦੀ", "ਰੋਜ਼ੀ", "-", "ਰੋਟੀ", "ਦੀ", "ਚਿੰਤਾ", "ਹੈ", "ਤੇ", "ਦਿੱਲੀ", "ਦੇ", "ਵਿਕਾਸ", "ਨਾਲ", "ਵੀ", "ਜੁੜਿਆ", "ਹੈ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਧਿਆਨਚੰਦ", "ਐਵਾਰਡ", "ਲਈ", "ਭੁਪਿੰਦਰ", "ਸਿੰਘ", "(", "ਅਥਲੈਟਿਕਸ", ")", ",", "ਸੈਯਦ", "ਸ਼ਾਹਿਦ", "ਹਕੀਮ", "(", "ਫੁਟਬਾਲ", ")", "ਅਤੇ", "ਸੁਮਰਾਈ", "ਤੇਤੇ", "(", "ਹਾਕੀ", ")", "ਦੇ", "ਨਾਂ", "ਦੀ", "ਸਿਫਾਰਸ਼", "ਕੀਤੀ", "ਗਈ", "ਹੈ", "।" ]
[ "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "B-PER", "I-PER", "I-PER", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਇਸ", "ਮੌਕੇ", "ਸਰਪੰਚ", "ਸੁਖਦੇਵ", "ਸਿੰਘ", "ਭਰਤਗੜ੍ਹ", "ਵੀ", "ਹਾਜ਼ਰ", "ਸਨ", "।" ]
[ "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਉਹ", "1958", "ਤੋਂ", "1970", "ਤੱਕ", "ਭਾਰਤ", "ਵਿੱਚ", "ਇੱਕ", "ਨਿਰਵਿਵਾਦ", "ਰਾਸ਼ਟਰੀ", "ਚੈਂਪੀਅਨ", "ਰਿਹਾ", "।" ]
[ "O", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਇਸ", "ਵਜੀਫ਼ੇ", "ਲਈ", "ਕੇਂਦਰ", "ਸਰਕਾਰ", "ਦੀ", "ਰਾਖਵਾਂਕਰਨ", "ਦੀ", "ਨੀਤੀ", "ਅਨੁਸਾਰ", "ਰਾਖਵਾਂਕਰਨ", "ਹੋਵੇਗਾ", "।" ]
[ "O", "O", "O", "B-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਚਿਦੰਬਰਮ", ")", "ਆਈਐਨਐਕਸ", "ਮੀਡੀਆ", "ਮਾਮਲੇ", "ਵਿਚ", "ਤਿਹਾੜ", "ਜੇਲ੍ਹ", "ਵਿਚ", "ਬੰਦ", "ਹਨ", "।" ]
[ "B-PER", "O", "B-ORG", "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.
[ "ਡਾਇਰੈਕਟਰ", "ਸ੍ਰੀਮਤੀ", "ਗਿੱਲ", "ਨੇ", "ਦੱਸਿਆ", "ਕਿ", "ਮੁੱਖ", "ਮੰਤਰੀ", "ਕੈਪਟਨ", "ਅਮਰਿੰਦਰ", "ਸਿੰਘ", "ਜਿਨ੍ਹਾਂ", "ਕੋਲ", "ਖੇਡਾਂ", "ਦਾ", "ਵਿਭਾਗ", "ਵੀ", "ਹੈ", ",", "ਦੇ", "ਦਿਸ਼ਾਂ", "ਨਿਰਦੇਸ਼ਾਂ", "ਅਨੁਸਾਰ", "ਸਾਰੇ", "ਪੈਂਡਿੰਗ", "ਬਿੱਲਾਂ", "ਦੀ", "ਰਾਸ਼ੀ", "ਕਲੀਅਰ", "ਕਰ", "ਦਿੱਤੀ", "ਗਈ", "ਹੈ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "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", "ਨੇ", "ਮੈਨੂੰ", "ਆਪਣੇ", "ਮਾਪਿਆਂ", "ਨਾਲ", "ਆਪਣੇ", "ਦਿਲ", "ਦੀਆਂ", "ਗੱਲਾਂ", "ਕਰਨ", "ਵਿਚ", "ਮਦਦ", "ਕੀਤੀ", "।", "\"", "-", "ਜ਼ਮੀਰਾ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਕੈਪਟਨ", "ਅਮਰਿੰਦਰ", "ਸਿੰਘ", "ਸਰਕਾਰ", "ਵੱਲੋਂ", "ਸਨਅਤ", "ਨੂੰ", "ਦਿੱਤੇ", "ਹਾਂ", "-", "ਪੱਖੀ", "ਹੁਲਾਰੇ", "ਤੋਂ", "ਉਤਸ਼ਾਹਤ", "ਹੁੰਦਿਆਂ", "ਮੈਸਰਜ", "ਟਾਟਾ", "ਸੰਨਜ਼", "ਵੱਲੋਂ", "ਪੰਜਾਬ", "ਵਿੱਚ", "ਤਾਜ", "ਗਰੁੱਪ", "ਆਫ", "ਹੋਟਲਜ਼", "ਦਾ", "ਵੱਡੇ", "ਪੱਧਰ", "'", "ਤੇ", "ਵਿਸਤਾਰ", "ਕਰਨ", "'", "ਤੇ", "ਵਿਚਾਰ", "ਕੀਤਾ", "ਜਾ", "ਰਿਹਾ", "ਹੈ", "।" ]
[ "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "B-ORG", "O", "O", "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", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਮਿਦਨਾਪੁਰ", "(", "ਪੱਛਮੀ", "ਬੰਗਾਲ", ")", ",", "26", "ਨਵੰਬਰ" ]
[ "B-LOC", "O", "O", "B-LOC", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਬੀਤੇ", "ਹਫਤੇ", "ਪਰਿਵਾਹਨ", "ਮੰਤਰੀ", "ਨਿਤਿਨ", "ਗਡਕਰੀ", "ਨੇ", "ਆਟੋ", "ਕੰਪਨੀਆਂ", "ਨੂੰ", "ਭਰੋਸਾ", "ਦਿੱਤਾ", "ਸੀ", "ਕਿ", "ਪੈਟਰੋਲ", "ਅਤੇ", "ਡੀਜ਼ਲ", "ਵਹੀਕਲ", "ਨੂੰ", "ਬੈਨ", "ਕਰਨ", "ਦੀ", "ਕੋਈ", "ਯੋਜਨਾ", "ਨਹੀਂ", "ਹੈ", "।" ]
[ "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਗਲੈਨਵਿਲ", "ਵਿਲੀਅਮਜ਼" ]
[ "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.
[ "ਉਸ", "ਨੂੰ", "ਨੇੜਲੇ", "ਹਸਪਤਾਲ", "ਵਿਖੇ", "ਦਾਖਲ", "ਕਰਵਾ", "ਦਿੱਤਾ", "ਗਿਆ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਪੁਲਿਸ", "ਵੱਲੋਂ", "ਦਿੱਤੀ", "ਗਈ", "ਜਾਣਕਾਰੀ", "ਮੁਤਾਬਕ", "ਅੱਤਵਾਦੀ", "ਪਾਕਿਸਤਾਨ", "ਸਥਿਤ", "ਸੰਗਠਨ", "ਲਸ਼ਕਰ", "-", "ਏ", "-", "ਤੈਇਬਾ", "ਨਾਲ", "ਜੁੜੇ", "ਹੋਏ", "ਸਨ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਪੰਜਾਬ", "ਸਕੂਲ", "ਸਿੱਖਿਆ", "ਬੋਰਡ", "ਵੱਲੋਂ", "ਬਾਰ੍ਹਵੀਂ", "ਸ਼੍ਰੇਣੀ", "ਦਾ", "ਸਾਲਾਨਾ", "ਨਤੀਜਾ", "ਭਲਕੇ", "11", "ਮਈ", "ਨੂੰ", "ਐਲਾਨਿਆਂ", "ਜਾਵੇਗਾ", "।" ]
[ "B-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਸ੍ਰੀ", "ਗੁਰੂ", "ਨਾਨਕ", "ਦੇਵ", "ਜੀ", "ਵੱਲੋਂ", "ਸਮਾਜਿਕ", "ਬਰਾਬਰਤਾ", "ਲਈ", "ਕੀਤੇ", "ਗਏ", "ਯਤਨਾਂ", "ਨੂੰ", "ਦਰਸ਼ਕਾਂ", "ਵਿੱਚ", "ਸਹੀ", "ਅਰਥਾਂ", "ਵਿੱਚ", "ਪ੍ਰਚਾਰਿਆ", "ਗਿਆ", "।" ]
[ "B-PER", "I-PER", "I-PER", "I-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਜਿਮ", "ਹੈਡਰਸਨ" ]
[ "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.
[ "ਦਵਿੰਦਰ", "ਚੱਢਾ", ",", "ਪ੍ਰਵੀਨ", "ਕਿੱਤਣਾ", ",", "ਸੁਰਿੰਦਰ", "ਕੁਮਾਰ", ",", "ਰਾਜੀਵ", "ਕੁਮਾਰ", ",", "ਰਮਨ", "ਨਈਅਰ", ",", "ਅਨੇਕ", "ਬੇਦੀ", "ਆਦਿ", "ਹਾਜ਼ਰ", "ਸਨ", "।" ]
[ "B-PER", "I-PER", "O", "B-PER", "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" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the 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", "ਕੇਂਦਰ", "ਸਰਕਾਰ", "ਦ੍ਵੀਪ", "ਸਮੂਹਾਂ", "ਨੂੰ", "ਸਸ਼ਕਤ", "ਬਣਾਉਣ", "ਅਤੇ", "ਵਿਕਸਤ", "ਕਰਨ", "ਲਈ", "ਪ੍ਰਤੀਬੱਧ", "ਹੈ", "।" ]
[ "O", "O", "O", "O", "B-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਆਂਧਰਾ", "ਪ੍ਰਦੇਸ਼", "ਦੇ", "ਸਾਬਕਾ", "ਮੁੱਖ", "ਮੰਤਰੀ", "ਕਿਰਨ", "ਕੁਮਾਰ", "ਰੈੱਡੀ", "ਮੁੜ", "ਕਾਂਗਰਸ", "'", "ਚ", "ਸ਼ਾਮਲ" ]
[ "B-PER", "I-PER", "I-PER", "I-PER", "I-PER", "I-PER", "I-PER", "I-PER", "I-PER", "O", "B-ORG", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਗੁਰੂ", "ਹਰਿਕ੍ਰਿਸ਼ਨ", "ਪਬਲਿਕ", "ਸਕੂਲ", "ਵਿਖੇ", "ਜਨਮ", "ਅਸ਼ਟਮੀ", "ਦਾ", "ਤਿਉਹਾਰ", "ਮਨਾਇਆ" ]
[ "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.
[ "ਕੇਂਦਰੀ", "ਸਿਹਤ", "ਮੰਤਰਾਲੇ", "ਦੇ", "." ]
[ "B-ORG", "I-ORG", "I-ORG", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਇਸ", "ਨਾਲ", "ਨਾ", "ਸਿਰਫ", "ਅਸਾਮ", ",", "ਬਲਕਿ", "ਪੂਰੇ", "ਉੱਤਰ", "ਪੂਰਬ", "ਨੂੰ", "ਲਾਭ", "ਹੋਇਆ", "ਹੈ", "।" ]
[ "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਬਰਫ਼", "ਦੀਆਂ", "ਫਲਾਈਲਾਂ", "ਆਕਾਰ", "ਅਤੇ", "ਆਕਾਰ", "ਵਿੱਚ", "ਆਉਂਦੀਆਂ", "ਹਨ", "." ]
[ "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.
[ "ਸੋਨੀਆ", "ਨੇ", "ਕਿਹਾ", "ਕਿ", "ਇੰਦਰਾ", "ਦੇ", "ਕਤਲ", "ਨੇ", "ਮੇਰਾ", "ਜੀਵਨ", "ਬਦਲ", "ਦਿੱਤਾ", "।" ]
[ "B-PER", "O", "O", "O", "B-PER", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਬ੍ਰਿਕਸ", "ਸੱਭਿਆਚਾਰਕ", "ਮੇਲਾ", "(", "ਵੱਖ", "ਵੱਖ", "ਸ਼ਹਿਰਾਂ", "ਵਿੱਚ", ")" ]
[ "O", "O", "O", "O", "B-LOC", "I-LOC", "I-LOC", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਇਨ੍ਹਾਂ", "ਨੂੰ", "ਰਾਮਪੁਰਾ", "ਦੇ", "ਸਰਕਾਰੀ", "ਹਸਪਤਾਲ", "ਵਿੱਚ", "ਦਾਖਲ", "ਕਰਵਾਇਆ", "ਗਿਆ", "।" ]
[ "O", "O", "B-LOC", "O", "B-LOC", "I-LOC", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਇਸ", "ਦੌਰਾਨ", "ਇੰਸਟੀਟਿਊਟਸ", "ਆਵ੍", "ਹੋਟਲ", "ਮੈਨੇਜਮੈਂਟ", "ਦੇ", "ਕੋਰਸ", "ਮਾਡਿਊਲਸ", "ਔਨਲਾਈਨ", "ਆਯੋਜਿਤ", "ਕੀਤੇ", "ਜਾ", "ਰਹੇ", "ਹਨ", "ਅਤੇ", "ਸਟਾਫ", "ਅਤੇ", "ਵਿਦਿਆਰਥੀ", "ਆਪਣੇ", "ਕੋਰਸ", "ਦੇ", "ਸਿਲੇਬਸ", "ਨਾਲ", "ਜੁੜੇ", "ਰਹਿਣ", "ਲਈ", "ਟੈਕਨੋਲੋਜੀ", "ਦੀ", "ਵਰਤੋਂ", "ਕਰ", "ਰਹੇ", "ਹਨ", "।" ]
[ "O", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the 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", "ਵੱਖ", "-", "ਵੱਖ", "ਖੇਤਰਾਂ", "ਵਿੱਚ", "ਮੋਹਰੀ", "130", "ਵਿਦਿਆਰਥੀਆਂ", "ਨੂੰ", "ਸਨਮਾਨਿਆ", "ਗਿਆ", "।" ]
[ "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.
[ "ਕੋਹਲੀ", "ਦਾ", "ਕਪਤਾਨ", "ਦੇ", "ਰੂਪ", "ਵਿਚ", "ਇਹ", "51ਵਾਂ", "ਟੈਸਟ", "ਮੈਚ", "ਸੀ", "।" ]
[ "B-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਦੀਪਾ", "ਪੈਰਾਲੰਪਿਕ", "'", "ਚ", "ਤਗ਼ਮਾ", "ਜਿੱਤਣ", "ਵਾਲੀ", "ਪਹਿਲੀ", "ਭਾਰਤੀ", "ਮਹਿਲਾ", "ਖਿਡਾਰਨ", "ਬਣ", "ਗਈ", "ਹੈ", "।" ]
[ "B-PER", "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.
[ "ਬੀਪੀਈਐੱਸ", "ਅਤੇ", "ਬੀਐੱਸਸੀ", "(", "ਸਪੋਰਟਸ", "ਕੋਚਿੰਗ", ")", "ਪਾਠ", "-", "ਕ੍ਰਮ", "ਖੁਮਨ", "ਲੰਪਕ", "ਸਪੋਰਟਸ", "ਕੰਪਲੈਕਸ", ",", "ਜੋ", "ਰਾਸ਼ਟਰੀ", "ਖੇਡ", "ਯੂਨੀਵਰਸਿਟੀ", "ਸੋਸਾਈਟੀ", "ਦਾ", "ਹੈਡਕੁਆਰਟਰ", "ਹੈ", ",", "ਤੋਂ", "ਸ਼ੁਰੂ", "ਹੋਣਗੇ", "।" ]
[ "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "I-LOC", "I-LOC", "I-LOC", "O", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਇਸ", "ਮੌਕੇ", "ਵਿਧਾਇਕ", "ਬਖਸ਼ੀਸ਼", "ਸਿੰਘ", ",", "ਹਰਿਆਣਾ", "ਭਾਜਪਾ", "ਦੇ", "ਪ੍ਰਦੇਸ਼", "ਪ੍ਰਦਾਨ", "ਸੁਭਾਸ਼", "ਬਰਾਲਾ", ",", "ਸਿੱਖ", "ਇਤਿਹਾਸਕਾਰ", "ਹਰਜਿੰਦਰ", "ਸਿੰਘ", ",", "ਸ਼੍ਰੋਮਣੀ", "ਗੁਰਦੁਆਰਾ", "ਪ੍ਰਬੰਧਕ", "ਕਮੇਟੀ", "ਦੇ", "ਸੀਨੀਅਰ", "ਉਪ", "ਪ੍ਰਧਾਨ", "ਬਲਦੇਵ", "ਸਿੰਘ", "ਕੈਮਪੁਰ", ",", "ਬਾਬਾ", "ਤ੍ਰਿਲੋਕ", "ਸਿੰਘ", ",", "ਮਹੰਤ", "ਕਰਮਜੀਤ", "ਸਿੰਘ", "ਤੇ", "ਕਈ", "ਹੋਰ", "ਪਤਵੰਤੇ", "ਮੌਜੂਦ", "ਸਨ", "।" ]
[ "O", "O", "O", "B-PER", "I-PER", "O", "B-ORG", "O", "B-PER", "I-PER", "I-PER", "I-PER", "I-PER", "O", "O", "O", "B-PER", "I-PER", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "I-PER", "O", "B-PER", "I-PER", "I-PER", "O", "B-PER", "I-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਮੁੰਬਈਃ", "ਬਾਲੀਵੁੱਡ", "ਦੇ", "ਮਰਹੂਮ", "ਅਦਾਕਾਰ", "ਸੁਸ਼ਾਂਤ", "ਸਿੰਘ", "ਰਾਜਪੂਤ", "ਦੀ", "ਆਖਰੀ", "ਫਿਲਮ", "ਦਿਲ", "ਬੀਚਾਰਾ", "ਰਿਲੀਜ਼", "ਹੋ", "ਚੁੱਕੀ", "ਹੈ", "।" ]
[ "O", "B-LOC", "O", "O", "O", "B-PER", "I-PER", "I-PER", "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.
[ "ਚੰਦਰਮਾ", "ਨੂੰ", "ਕਿਉਂ", "ਜਾਣਾ", "ਹੈ", "?" ]
[ "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.
[ "ਉਨ੍ਹਾਂ", "ਨੇ", "ਗੁਆਂਢੀ", "ਸੂਬਿਆਂ", "ਰਾਜਸਥਾਨ", ",", "ਹਰਿਆਣਾ", ",", "ਹਿਮਾਚਲ", "ਪ੍ਰਦੇਸ਼", "ਅਤੇ", "ਜੰਮੂ", "-", "ਕਸ਼ਮੀਰ", "ਨੂੰ", "ਪੋਸਤ", "ਅਤੇ", "ਭੰਗ", "ਦੀ", "ਗੈਰ", "-", "ਕਾਨੂੰਨੀ", "ਤੌਰ", "'", "ਤੇ", "ਹੋ", "ਰਹੀ", "ਖੇਤੀ", "ਨੂੰ", "ਖਤਮ", "ਕਰਨ", "ਲਈ", "ਠੋਸ", "ਯਤਨ", "ਕੀਤੇ", "ਜਾਣ", "ਦੀ", "ਅਪੀਲ", "ਕੀਤੀ", "।" ]
[ "O", "O", "O", "O", "B-LOC", "O", "B-LOC", "O", "B-LOC", "I-LOC", "O", "B-LOC", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਜਯਾਰਾਮ", "ਚੌਟਾ", "ਅਤੇ", "ਆਰ", ".", "ਬਾਲਾਸੁਬਰਾਮਨੀਅਨ", "'", "ਤੇ", "ਆਧਾਰਤ", "ਦੋ", "ਮੈਂਬਰੀ", "ਜਾਂਚ", "ਕਮੇਟੀ", "ਨੇ", "ਬੀਸੀਸੀਆਈ", "ਦੀ", "ਵਰਕਿੰਗ", "ਕਮੇਟੀ", "ਨੂੰ", "ਰਿਪੋਰਟ", "ਸੌਂਪੀ", "ਜਿਸ", "ਦੀ", "ਅੱਜ", "ਇੱਥੇ", "ਮੀਟਿੰਗ", "ਹੋਈ", "ਜਦੋਂ", "ਕਿ", "ਇਹ", "ਅਟਕਲਾਂ", "ਲਾਈਆਂ", "ਜਾ", "ਰਹੀਆਂ", "ਸਨ", "ਕਿ", "ਸ੍ਰੀਨਿਵਾਸਨ", "ਵਾਪਸੀ", "ਕਰ", "ਰਹੇ", "ਹਨ", "।" ]
[ "B-PER", "I-PER", "O", "B-PER", "I-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਇਸ", "ਵਿਚ", "ਅਲਕੋਹਲ", "ਨਹੀਂ", "ਹੋਣੀ", "ਚਾਹੀਦੀ", "." ]
[ "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਨਿਊਜ਼ੀਲੈਂਡ", "ਨੇ", "ਦੱਖਣੀ", "ਅਫ਼ਰੀਕਾ", "ਨੂੰ", "ਹਰਾਇਆ" ]
[ "B-LOC", "O", "B-LOC", "I-LOC", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਫਿਲਮ", "ਦੇ", "ਨਿਰਦੇਸ਼ਕ", "ਹਨ", "ਸ਼ਿਤਿਜ", "ਚੌਧਰੀ", "।" ]
[ "O", "O", "O", "O", "B-PER", "I-PER", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਕੈਪਟਨ", "ਨੇ", "1963", "ਤੋਂ", "1969", "ਤਕ", "ਸਿੱਖ", "ਰੈਜੀਮੈਂਟ", "ਦੀ", "ਦੂਜੀ", "ਬਟਾਲੀਅਨ", "ਵਿਚ", "ਸੇਵਾ", "ਨਿਭਾਈ", "।" ]
[ "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.
[ "ਜ਼ਖਮੀਆਂ", "ਨੂੰ", "ਤੁਰੰਤ", "ਸਿਵਲ", "ਹਸਪਤਾਲ", "ਹੁਸ਼ਿਆਰਪੁਰ", "ਪਹੁੰਚਾਇਆ", "ਗਿਆ", "।" ]
[ "O", "O", "O", "B-LOC", "I-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.
[ "ਪੰਜਾਬ", "ਦੇ", "ਮੁੱਖ", "ਮੰਤਰੀ", "ਪ੍ਰਕਾਸ਼", "ਸਿੰਘ", "ਬਾਦਲ", "ਨੇ", "ਐਨ", ".", "ਸੀ", ".", "ਸੀ", ".", "ਕੈਡਿਟਾਂ", "ਲਈ", "ਰਿਫਰੈਸ਼ਮੈਂਟ", "ਭੱਤਾ", "6", "ਰੁਪਏ", "ਤੋਂ", "ਵਧਾ", "ਕੇ", "20", "ਰੁਪਏ", "ਪ੍ਰਤੀ", "ਕੈਡਿਟ", "ਕਰਨ", "ਲਈ", "ਪ੍ਰਵਾਨਗੀ", "ਦੇ", "ਦਿੱਤੀ", "ਹੈ", "ਜਿਸ", "ਨਾਲ", "ਸਰਕਾਰੀ", "ਖਜ਼ਾਨੇ", "'", "ਤੇ", "ਸਾਲਾਨਾ", "ਤਿੰਨ", "ਕਰੋੜ", "ਰੁਪਏ", "ਦਾ", "ਬੋਝ", "ਪਵੇਗਾ", "।" ]
[ "O", "O", "O", "O", "B-PER", "I-PER", "I-PER", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਅਨੂ", "ਸ਼ਰਮਾ", "ਅਤੇ", "ਪ੍ਰੋ", "." ]
[ "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.
[ "ਡਾਕਟਰੀ", "ਅਤੇ", "ਸਿਹਤ", "ਲਈ", "ਸਰਕਾਰੀ", "ਵਕੀਨੀਅਰ" ]
[ "B-ORG", "I-ORG", "I-ORG", "O", "O", "O" ]