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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.
[ "ਇਸ", "ਫੋਟੋਸ਼ੂਟ", "ਦੀਆਂ", "ਕੁਝ", "ਤਸਵੀਰਾਂ", "ਸੋਸ਼ਲ", "ਮੀਡੀਆ", "'", "ਤੇ", "ਕਾਫੀ", "ਵਾਇਰਲ", "ਹੋ", "ਰਹੀਆਂ", "ਹਨ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਪੰਜਾਬ", "ਵਿਚ", "ਕੋਰੋਨਾ", "ਵਾਇਰਸ", "ਦੇ", "ਮਾਮਲਿਆਂ", "'", "ਚ", "ਵਾਧਾ", "ਹੋਇਆ", "ਹੈ", "।" ]
[ "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.
[ "ਕਾਂਗਰਸ", "ਵੱਲੋਂ", "ਕੀਤੇ", "ਸਾਰੇ", "ਵਾਅਦੇ", "ਪੂਰੇ", "ਕੀਤੇ", "ਜਾਣਗੇ", "।" ]
[ "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਇਸ", "ਮੀਟਿੰਗ", "'", "ਚ", "ਸੀਓਏ", "ਵੱਲੋਂ", "ਵਿਨੋਦ", "ਰਾਏ", ",", "ਡਾਇਨਾ", "ਇਡੁਲਜੀ", "ਜਦਕਿ", "ਬੀਸੀਸੀਆਈ", "ਵੱਲੋਂ", "ਕਾਰਜਕਾਰੀ", "ਪ੍ਰਧਾਨ", "ਸੀਕੇ", "ਖੰਨਾ", ",", "ਕਾਰਜਕਾਰੀ", "ਸਕੱਤਰ", "ਅਮਿਤਾਬ", "ਚੌਧਰੀ", ",", "ਖ਼ਜ਼ਾਨਚੀ", "ਅਨਿਰੁੱਧ", "ਚੌਧਰੀ", "ਤੇ", "ਸੀਈਓ", "ਰਾਹੁਲ", "ਜੌਹਰੀ", "ਹਿੱਸਾ", "ਲੈਣਗੇ", "।" ]
[ "O", "O", "O", "O", "B-ORG", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "B-PER", "I-PER", "I-PER", "I-PER", "I-PER", "I-PER", "O", "O", "B-PER", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਸ਼੍ਰੀ", "ਨਾਇਡੂ", "ਨੇ", "ਜ਼ੋਰ", "ਦੇਕੇ", "ਕਿਹਾ", "ਕਿ", "ਬੁਨਿਆਦੀ", "ਢਾਂਚਾ", ",", "ਊਰਜਾ", ",", "ਜਲ", ",", "ਕਚਰਾ", "ਪ੍ਰਬੰਧਨ", ",", "ਟ੍ਰਾਂਸਪੋਰਟ", ",", "ਭੂ", "-", "ਸੰਪਦਾ", "ਅਤੇ", "ਸ਼ਹਿਰੀ", "ਯੋਜਨਾਬੰਦੀ", "ਜਿਹੇ", "ਵੱਖ", "-", "ਵੱਖ", "ਖੇਤਰਾਂ", "ਦੀਆਂ", "ਚੁਣਤੀਆਂ", "ਦੇ", "ਸਮਾਧਾਨ", "ਲਈ", "ਉੱਨਤ", "ਟੈਕਨੋਲੋਜੀਆਂ", "ਦਾ", "ਇਸਤੇਮਾਲ", "ਕਰਨਾ", "ਜ਼ਰੂਰੀ", "ਹੈ", "।" ]
[ "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਪੱਛਮੀ", "ਕੇਪ", "ਪ੍ਰਾਂਤ", "16,893", "ਪੁਸ਼ਟੀ", "ਕੀਤੇ", "ਮਾਮਲਿਆਂ", "ਦੇ", "ਨਾਲ", "ਮਹਾਂਮਾਰੀ", "ਦਾ", "ਕੇਂਦਰ", "ਬਣਿਆ", "ਹੋਇਆ", "ਹੈ", ",", "ਇਸ", "ਤੋਂ", "ਬਾਅਦ", "ਗੌਟੈਂਗ", "3,167", "ਕੇਸਾਂ", "ਨਾਲ", ",", "ਪੂਰਬੀ", "ਕੇਪ", "ਵਿੱਚ", "3,047", "ਅਤੇ", "ਕਵਾਜੂਲੂ", "-", "ਨਟਲ", "2,186", "ਮਾਮਲਿਆਂ", "ਵਿੱਚ", "ਹਨ", "।" ]
[ "B-LOC", "I-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "B-LOC", "I-LOC", "O", "O", "O", "B-LOC", "I-LOC", "I-LOC", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਸ਼ਹਿਰ", "ਦਾ", "ਨਾਮ" ]
[ "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਫੋਟੋਃ", "ਸੁਨੀਲ", "ਕੁਮਾਰ" ]
[ "O", "B-PER", "I-PER" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਵ੍ਹਾਇਟ", "ਪੇਪਰ", "ਵਿੱਚ", "ਦੱਸਿਆ", "ਜਾਵੇਗਾ", "ਕਿ", "ਕਿੱਥੇ", "-", "ਕਿੱਥੇ", "ਕਿੰਨੀ", "ਸਰਕਾਰੀ", "ਪ੍ਰਾਪਰਟੀ", "ਪੁੱਡਾ", "ਨੂੰ", "ਟਰਾਂਸਫਰ", "ਕਰਕੇ", "ਫੰਡ", "ਜੁਟਾਉਣ", "ਨੂੰ", "ਬੈਂਕਾਂ", "ਨੂੰ", "ਗਿਰਵੀ", "ਰੱਖੀਆ", "ਗਈਆਂ", "ਹਨ", "।" ]
[ "O", "O", "O", "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਸੰਯੁਕਤ", "ਰਾਜ", "ਦੇ", "ਡੋਨੇਲਡ", "ਟਰੰਪ", "ਦੇ", "ਪ੍ਰਧਾਨ", "ਅਤੇ", "ਪਹਿਲੀ", "ਮਹਿਲਾ", "ਮੇਲਾਨੀਆ", "ਟਰੰਪ" ]
[ "B-LOC", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "B-PER", "I-PER" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਇਸ", "ਮੌਕੇ", "ਕਰਵਾਏ", "ਗਏ", "ਸਮਾਗਮ", "ਵਿਚ", "ਮੁੱਖ", "ਮਹਿਮਾਨ", "ਵਜੋਂ", "ਉਪ", "ਜ਼ਿਲ੍ਹਾ", "ਸਿੱਖਿਆ", "ਅਫਸਰ", "ਗੁਰਜੀਤ", "ਸਿੰਘ", "ਪੁੱਜੇ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਉਨ੍ਹਾਂ", "ਮੰਗ", "ਕੀਤੀ", "ਕਿ", "ਅਸਾਮੀਆਂ", "ਤੁਰੰਤ", "ਭਰੀਆਂ", "ਜਾਣ", "।" ]
[ "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.
[ "ਊਧਵ", "ਠਾਕਰੇ", "ਨੇ", "ਇਹ", "ਵੀ", "ਕਿਹਾ", "ਕਿ", "ਉਨ੍ਹਾਂ", "ਨੇ", "ਫੜਨਵੀਸ", "ਤੋਂ", "ਬਹੁਤ", "ਕੁਝ", "ਸਿੱਖਿਆ", "ਹੈ", "ਤੇ", "ਹਮੇਸ਼ਾ", "ਉਨ੍ਹਾਂ", "ਦੇ", "ਮਿੱਤਰ", "ਬਣੇ", "ਰਹਿਣਗੇ", "।" ]
[ "O", "B-PER", "O", "O", "O", "O", "O", "O", "O", "B-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.
[ "ਚੰਡੀਗੜ੍ਹ", "(", "ਅਸ਼ਵਨੀ", ")", "-", "ਪੰਜਾਬ", "ਦੇ", "ਮੁੱਖ", "ਮੰਤਰੀ", "ਕੈਪਟਨ", "ਅਮਰਿੰਦਰ", "ਸਿੰਘ", "ਨੇ", "ਭਾਰਤ", "ਸਰਕਾਰ", "ਦੀ", "ਓਪਨ", "ਸਕਾਈ", "ਨੀਤੀ", "ਹੇਠ", "ਆਸੀਆਨ", "ਦੇਸ਼ਾਂ", "ਦੀਆਂ", "ਏਅਰਲਾਈਨਜ਼", "ਦੀਆਂ", "ਗਤੀਵਿਧੀਆਂ", "ਲਈ", "ਨੋਟੀਫਾਈ", "ਕੀਤੇ", "ਸ਼ਹਿਰਾਂ", "ਦੀ", "ਸੂਚੀ", "ਵਿਚ", "ਚੰਡੀਗੜ੍ਹ", "ਨੂੰ", "ਸ਼ਾਮਲ", "ਕਰਨ", "ਦੀ", "ਮੰਗ", "ਕੀਤੀ", "ਹੈ", "।" ]
[ "B-LOC", "O", "O", "O", "O", "B-LOC", "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", "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.
[ "ਉਸ", "ਦੀ", "ਮਾਂ", "ਸਾਂਨ", "ਫਰਾਂਸਿਸਕੋ", "ਤੋਂ", "ਆਈ", "ਸੀ", "ਅਤੇ", "ਅੰਗਰੇਜ਼ੀ", ",", "ਆਇਰਿਸ਼", ",", "ਸਕੌਟਿਸ਼", ",", "ਅਤੇ", "ਵੇਲਜ਼", "ਮੂਲ", "ਦੀ", "ਸੀ", "।" ]
[ "B-PER", "O", "O", "B-LOC", "I-LOC", "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.
[ "ਕੇਂਦਰੀ", "ਵਿੱਤ", "ਮੰਤਰੀ", "ਅਰੁਣ", "ਜੇਟਲੀ", ",", "ਗ੍ਰਹਿ", "ਮੰਤਰੀ", "ਰਾਜਨਾਥ", "ਸਿੰਘ", ",", "ਸ਼ਿਵਸੈਨਾ", "ਮੁਖੀ", "ਉਧਵ", "ਠਾਕਰੇ", "ਅਤੇ", "ਗੁਜਰਾਤ", "ਦੇ", "ਮੁੱਖ", "ਮੰਤਰੀ", "ਵਿਜੇ", "ਰੁਪਾਣੀ", "ਵੀ", "ਇਸ", "ਦੌਰਾਨ", "ਮੌਜੂਦ", "ਸਨ", "।" ]
[ "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "B-PER", "I-PER", "O", "B-ORG", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "B-PER", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ੇਮਜ਼", ",", "ਐੱਮ", "." ]
[ "B-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.
[ "ਮੋਹਨ", "ਲਾਲ", "ਸ਼ਰਮਾ", "ਨੇ", "ਸ਼ਿਰਕਤ", "ਕੀਤੀ", "।" ]
[ "B-PER", "I-PER", "I-PER", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਯਹੂਦੀ", "ਇਤਿਹਾਸਕਾਰ", "ਫਲੇਵੀਅਸ", "ਜੋਸੀਫ਼ਸ", "ਨੇ", "ਵੀ", "ਯਿਸੂ", "ਦਾ", "ਜ਼ਿਕਰ", "ਕੀਤਾ", "ਸੀ", "।" ]
[ "O", "O", "B-PER", "I-PER", "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.
[ "ਸੰਯੁਕਤ", "ਰਾਸ਼ਟਰ", "ਦੇ", "ਮਨੁੱਖੀ", "ਅਧਿਕਾਰਾਂ", "ਬਾਰੇ", "ਮਾਹਿਰਾਂ", "ਦੇ", "ਇਕ", "ਗਰੁੱਪ", "ਨੇ", "ਪੱਤਰਕਾਰ", "ਰਾਣਾ", "ਅਯੁਬ", "ਨੂੰ", "ਧਮਕੀਆਂ", "ਦੇਣ", "'", "ਤੇ", "ਚਿੰਤਾ", "ਜ਼ਾਹਰ", "ਕੀਤੀ", "ਹੈ", "ਤੇ", "ਭਾਰਤ", "ਸਰਕਾਰ", "ਨੂੰ", "ਉਸ", "ਦੀ", "ਸੁਰੱਖਿਆ", "ਲਈ", "ਫੌਰੀ", "ਕਦਮ", "ਚੁੱਕਣ", "ਅਤੇ", "ਉਸ", "ਨੂੰ", "ਮਿਲ", "ਰਹੀਆਂ", "ਧਮਕੀਆਂ", "ਦੀ", "ਜਲਦੀ", "ਵਿਆਪਕ", "ਜਾਂਚ", "ਕਰਾਉਣ", "ਲਈ", "ਕਿਹਾ", "ਹੈ", "।" ]
[ "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "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", "ਪੈਨਲ", "ਇਥੇ", "ਸੰਯੁਕਤ", "ਰਾਸ਼ਟਰ", "ਮੁੱਖ", "ਦਫਤਰ", "ਦੀ", "ਛੱਤ", "'", "ਤੇ", "ਲਾਏ", "ਜਾ", "ਰਹੇ", "ਹਨ", "।" ]
[ "O", "O", "O", "B-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਇਸ", "ਦੇ", "ਭਿਆਨਕ", "ਨਤੀਜੇ", "ਹੋ", "ਸਕਦੇ", "ਹਨ", "." ]
[ "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਆਂਗਣਵਾੜੀ", "ਮੁਲਾਜ਼ਮਾਂ", "ਵਲੋਂ", "ਸਰਕਾਰ", "ਿਖ਼ਲਾਫ਼", "ਨਾਅਰੇਬਾਜ਼ੀ" ]
[ "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.
[ "ਸਾਇੰਟਲਾਜੀ", "ਨਿਊਜ਼" ]
[ "B-ORG", "I-ORG" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਰੂਸ", "ਦੀ", "ਪਾਵਲਿਊਚੇਨਕੋਵਾ", "ਨੇ", "ਇੱਕ", "ਹੋਰ", "ਚੈਥ", "ਖਿਡਾਰੀ", "ਬਾਰਬਰਾ", "ਸਟ੍ਰਾਈਕੋਵਾ", "ਨੂੰ", "5", "-", "7,6", "-", "3,6", "-", "1", "ਨਾਲ", "ਹਰਾ", "ਕੇ", "ਸੈਮੀ", "ਫਾਈਨਲ", "ਦੀ", "ਟਿਕਟ", "ਕਟਾਈ", "।" ]
[ "B-PER", "I-PER", "I-PER", "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" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਫ਼ਿਲਮ", "'", "ਚ", "ਕਰੀਨਾ", "ਕਪੂਰ", "ਆਮਿਰ", "ਨਾਲ", "ਅਹਿਮ", "ਭੂਮਿਕਾ", "ਨਿਭਾਉਂਦੀ", "ਨਜ਼ਰ", "ਆਵੇਗੀ", "।" ]
[ "O", "O", "O", "B-PER", "O", "B-PER", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਪੁਲਿਸ", "ਨੇ", "20", "ਸਾਲਾ", "ਨੌਜਵਾਨ", "ਨੂੰ", "ਅਗਵਾ", "ਕਰਨ", "ਮਾਮਲਾ", "ਸੁਲਝਾਇਆ" ]
[ "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.
[ "ਆਸਟਰੇਲੀਆ", "ਦੇ", "ਪ੍ਰਧਾਨ", "ਮੰਤਰੀ", "ਸਕਾਟ", "ਮੌਰਿਸਨ", "ਨੇ", "ਸ਼ਨੀਵਾਰ", "ਨੂੰ", "ਸੰਸਦ", "ਦੇ", "ਉਦਘਾਟਨ", "ਨੂੰ", "ਕਈ", "ਹਫਤਿਆਂ", "ਲਈ", "ਦੇਰੀ", "ਕਰ", "ਦਿੱਤੀ", "ਕਿਉਂਕਿ", "ਨਵਾਂ", "ਕੋਰੋਨਾਵਾਇਰਸ", "ਫੈਲਦਾ", "ਰਿਹਾ", "." ]
[ "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" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਬੁੱਧਵਾਰ", "ਤੋਂ", "30", "ਜੂਨ", "ਤੱਕ", "ਮਦੁਰਈ", "ਅਤੇ", "ਨੇੜਲੇ", "ਇਲਾਕਿਆਂ", "ਵਿੱਚ", "ਮੁਕੰਮਲ", "ਲੌਕਡਾਊਨ", "ਲਾਗੂ", "ਕੀਤਾ", "ਜਾਵੇਗਾ", "।" ]
[ "O", "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.
[ "ਮੱਧ", "ਅਮਰੀਕਾ", "ਦੇ", "ਇਕ", "ਦੇਸ਼", "ਵਿਚ", "ਕੁਝ", "ਸਾਲ", "ਪਹਿਲਾਂ", ",", "ਮਸੀਹੀ", "ਕਲੀਸਿਯਾ", "ਵਿਚ", "ਇਕ", "ਕਿਸ਼ੋਰ", "ਮੁੰਡੇ", "ਨੇ", "ਦੈਵ", "-", "ਸ਼ਾਸਕੀ", "ਸੇਵਕਾਈ", "ਸਕੂਲ", "ਵਿਚ", "ਭਾਸ਼ਣ", "ਦਿੱਤਾ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਭਾਰਤੀ", "ਸੈਨਾ", "ਵੀ", "ਜਵਾਬੀ", "ਕਾਰਵਾਈ", "ਰ", "ਰਹੀ", "ਹੈ", "।" ]
[ "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.
[ "ਜ਼ਖ਼ਮੀ", "ਔਰਤ", "ਨੂੰ", "ਸਿਵਲ", "ਹਸਪਤਾਲ", "ਦਾਖ਼ਲ", "ਕਰਵਾਇਆ", "ਗਿਆ", "।" ]
[ "O", "O", "O", "B-LOC", "I-LOC", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਤ੍ਰਿਪੁਰਾ", "ਦੇ", "ਸਹਾਇਤਾ", "ਕੈਂਪਾਂ", "ਵਿੱਚ", "ਬਰੱਸ", "(", "Brus", ")", "ਵਿੱਚ", "ਰਹਿ", "ਰਹੇ", "ਲੋਕਾਂ", "ਦੀ", "ਸਾਂਭ", "ਸੰਭਾਲ", "ਲਈ", "ਤ੍ਰਿਪੁਰਾ", "ਸਰਕਾਰ", "ਨੂੰ", "ਸਹਾਇਤਾ", "-", "ਗ੍ਰਾਂਟ", "।" ]
[ "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the 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", "ਕਾਰਜਾਂ", "ਦੀ", "ਪ੍ਰਗਤੀ", "ਦਾ", "ਜਾਇਜ਼ਾ", "ਲੈਣ", "ਲਈ", "ਅੱਜ", "ਡਿਪਟੀ", "ਕਮਿਸ਼ਨਰ", "ਕੁਮਾਰ", "ਅਮਿਤ", "ਨੇ", "ਜੈਕਬ", "ਡਰੇਨ", "ਅਤੇ", "ਮਾਡਲ", "ਟਾਊਨ", "ਡਰੇਨ", "ਦਾ", "ਦੌਰਾ", "ਵੀ", "ਕੀਤਾ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "B-LOC", "I-LOC", "O", "B-LOC", "I-LOC", "I-LOC", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਉਨ੍ਹਾਂ", "ਖਾਲਸਾ", "ਕਾਲਜ", "ਦੇ", "ਪ੍ਰਿੰਸੀਪਲ", "ਡਾ", "." ]
[ "O", "B-ORG", "I-ORG", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਅਧਿਕਾਰੀਆਂ", "ਮੁਤਾਬਕ", "ਮੁਲਜ਼ਮ", "ਦੀ", "ਗੱਡੀ", "ਮਿਲ", "ਗਈ", "ਅਤੇ", "ਉਸ", "ਦੀ", "ਜਾਂਚ", "ਕੀਤੀ", "ਜਾ", "ਰਹੀ", "ਹੈ", "।" ]
[ "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.
[ "ਸਾਨੂੰ", "ਆਪਣੀ", "ਹਥਿਆਰਬੰਦ", "ਸੇਵਾਵਾਂ", ",", "ਪੁਲਿਸ", "ਅਤੇ", "ਅਰਧ", "ਸੈਨਿਕ", "ਬਲ", "'", "ਤੇ", "ਮਾਣ", "ਹੈ", "ਜੋ", "ਸੀਮਾਵਾਂ", "ਦੀ", "ਰੱਖਿਆ", "ਕਰਦੇ", "ਹਨ", "ਅਤੇ", "ਸਾਡੀ", "ਆਂਤਰਿਕ", "ਸੁਰੱਖਿਆ", "ਨੂੰ", "ਯਕੀਨੀ", "ਬਣਾਉਂਦੇ", "ਹਨ", "।" ]
[ "O", "O", "B-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਓਮਾਜੀ", "ਦੀ", "ਦਾਦੀ", ",", "ਯਾਨੀ", "ਕਿ", "ਹਾਵਾ", "ਦੀ", "ਸੱਸ", "ਓਮਾਜੀ", "ਨੂੰ", "ਕਬੀਲੇ", "ਦੇ", "ਤਾਂਤਰਕ", "ਕੋਲ", "ਲਿਜਾਣਾ", "ਚਾਹੁੰਦੀ", "ਹੈ", "।" ]
[ "B-PER", "O", "O", "O", "O", "O", "B-PER", "O", "O", "B-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਕੇਂਦਰ", "ਸਰਕਾਰ", "ਇੱਕ", "ਡਿਜੀਟਲ", "ਇੰਡੀਆ", "ਦਾ", "ਸੁਫ਼ਨਾ", "ਸਾਕਾਰ", "ਕਰਨ", "ਅਤੇ", "ਭਾਰਤ", "ਨੂੰ", "ਡਿਜੀਟਲ", "ਤੌਰ", "'", "ਤੇ", "ਸ਼ਕਤੀਸ਼ਾਲੀ", "ਸਮਾਜ", "ਅਤੇ", "ਗਿਆਨ", "ਅਰਥ", "ਵਿਵਸਥਾ", "ਬਣਾਉਣ", "ਲਈ", "ਪ੍ਰਤੀਬੱਧ", "ਹੈ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਵਿੰਡੋ", "ਰਾਕ" ]
[ "B-ORG", "I-ORG" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਨਿਊਜ਼ੀਅਮ", "ਨੇ", "ਇਕ", "ਸੰਖੇਪ", "ਵੇਰਵੇ", "ਵਿਚ", "ਕਿਹਾ", ",", "\"", "ਗੌਰੀ", "ਲੰਕੇਸ਼", "(", "55", ")", "ਪੂਰੇ", "ਭਾਰਤ", "ਵਿਚ", "ਜਾਤੀਵਾਦ", "ਅਤੇ", "ਹਿੰਦੂ", "ਅੱਤਵਾਦ", "ਵਿਰੁੱਧ", "ਆਪਣੇ", "ਮੋਹਰੀ", "ਲੇਖਾਂ", "ਲਈ", "ਪ੍ਰਸਿੱਧ", "ਸੀ", "।" ]
[ "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਇਹ", "ਬੁਝਾਰਤ", "ਸਮਝੋਂ", "ਬਾਹਰ", "ਹੈ", "।" ]
[ "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਗੁਜਰਾਤ", "ਸਰਕਾਰ", "ਨੇ", "ਗੁਜਰਾਤ", "ਵਿੱਚ", "ਫਸੇ", "ਅਮਰੀਕੀ", "ਨਾਗਰਿਕਾਂ", "ਲਈ", "ਵਾਹਨ", "ਪਾਸ", "ਜਾਰੀ", "ਕੀਤੇ", "ਹਨ", "।" ]
[ "B-LOC", "O", "O", "B-LOC", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "'", "ਭਾਰਤ", "'", "'", "ਚ", "ਸਲਮਾਨ", "ਨਾਲ", "ਕੈਟਰੀਨਾ", "ਕੈਫ", "ਨਜ਼ਰ", "ਆਵੇਗੀ", "।" ]
[ "O", "O", "O", "O", "O", "B-PER", "O", "B-PER", "I-PER", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਭਗਤਾ", "ਭਾਈ", ",", "6", "ਜੁਲਾਈ" ]
[ "B-PER", "I-PER", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਬੈਸਟ", "ਹਿੰਦੀ", "ਫਿਲਮ", ":", "ਅੰਧਾਧੁਨ" ]
[ "O", "O", "O", "O", "B-PER" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਕਵਿਤਾ", "ਕਈ", "ਤਰੀਕਿਆਂ", "ਨਾਲ", "ਉਨ੍ਹਾਂ", "ਦੀ", "ਮਦਦ", "ਕਰਨ", "ਲਈ", "ਭਾਰਤ", "ਵਿੱਚ", "ਰਹੀ", "।" ]
[ "B-PER", "O", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਅਸ਼ਵਨੀ", "ਕੁਮਾਰ", "ਸ਼ਿਮਲਾ" ]
[ "B-PER", "I-PER", "I-PER" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਨੀਤੀਸ਼", "ਕਟਾਰਾ", "ਹੱਤਿਆ", "ਕਾਂਡ", ":", "ਸੁਪਰੀਮ", "ਕੋਰਟ", "ਨੇ", "ਸਜ਼ਾ", "ਘਟਾਈ" ]
[ "B-PER", "I-PER", "O", "O", "O", "B-ORG", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਬਾਈਬਲ", "ਵਿਚ", "ਸਿਰਫ਼", "ਇਕ", "ਵਾਰ", "ਹੋਰ", "ਮਾਰਥਾ", "ਦਾ", "ਜ਼ਿਕਰ", "ਆਉਂਦਾ", "ਹੈ", "।" ]
[ "O", "O", "O", "O", "O", "O", "B-PER", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਉਹ", "ਇਸ", "ਸਮੇਂ", "ਲਾਹੌਰ", "ਦੀ", "ਕੋਟ", "ਲਖਪਤ", "ਜੇਲ੍ਹ", "ਚ", "ਹਨ", "।" ]
[ "B-PER", "O", "O", "B-LOC", "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.
[ "ਭਾਰਤ", "ਸੋਨੇ", "ਦਾ", "ਸਭ", "ਤੋਂ", "ਵੱਡਾ", "ਦਰਾਮਦਕਾਰ", "ਹੈ", "।" ]
[ "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.
[ "ਹੇਠਲੀ", "ਅਦਾਲਤ", "ਨੇ", "ਸੱਜਣ", "ਕੁਮਾਰ", "ਨੂੰ", "ਬਰੀ", "ਕਰ", "ਦਿਤਾ", "ਸੀ", "।" ]
[ "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਕੈਬਨਿਟ", "ਮੰਤਰੀ", "ਸੁਖਜਿੰਦਰ", "ਸਿੰਘ", "ਰੰਧਾਵਾ", "ਨੇ", "ਕਿਹਾ", "ਕਿ", "ਸ੍ਰੀ", "ਗੁਰੂ", "ਨਾਨਕ", "ਦੇਵ", "ਜੀ", "ਨੇ", "ਖੇਤੀ", "ਨੂੰ", "ਮੁੱਢਲੀ", "ਮਹੱਤਤਾ", "ਦਿੱਤੀ", "ਅਤੇ", "ਉਹਨਾਂ", "ਨੇ", "ਖੁਦ", "ਵੀ", "ਖੇਤੀ", "ਕੀਤੀ", ",", "ਇਸ", "ਲਈ", "ਪੰਜਾਬ", "ਦੇ", "ਲੋਕਾਂ", "ਦਾ", "ਇਸ", "ਖੇਤਰ", "ਨਾਲ", "ਧਾਰਮਿਕ", "ਸਬੰਧ", "ਹੈ", "।" ]
[ "O", "O", "B-PER", "I-PER", "I-PER", "O", "O", "O", "O", "B-PER", "I-PER", "I-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "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.
[ "ਪਰ", "ਪਰਿਵਾਰਕ", "ਮੈਂਬਰ", "ਹਾਲੇ", "ਬਿਆਨ", "ਦੇਣ", "ਨਹੀਂ", "ਪੁੱਜੇ", "।" ]
[ "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.
[ "ਇਨਕਮ", "ਵਿਭਾਗ", "ਨੇ", "ਕਥਿਤ", "ਤੌਰ", "'", "ਤੇ", "ਚੋਰੀ", "ਅਤੇ", "ਹਵਾਲਾ", "ਲੈਣ", "-", "ਦੇਣ", "ਲਈ", "ਬੈਂਗਲੁਰੂ", "ਦੀ", "ਇਕ", "ਅਦਾਲਤ", "'", "ਚ", "ਸ਼ਿਵਕੁਮਾਰ", "ਅਤੇ", "ਹੋਰਾਂ", "ਖਿਲਾਫ", "ਦੋਸ਼ਪੱਤਰ", "ਦਾਇਰ", "ਕੀਤਾ", "ਸੀ", ",", "ਜਿਸ", "ਦੇ", "ਆਧਾਰ", "'", "ਤੇ", "ਅਪਰਾਧਿਕ", "ਮਾਮਲਾ", "ਦਰਜ", "ਕੀਤਾ", "ਗਿਆ", "ਸੀ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "B-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਹਿਮਾਚਲ", "ਨੇ", "ਟਾਸ", "ਜਿੱਤ", "ਕੇ", "ਪਹਿਲਾਂ", "ਬੱਲੇਬਾਜ਼ੀ", "ਕਰਨ", "ਦਾ", "ਫ਼ੈਸਲਾ", "ਕੀਤਾ", "।" ]
[ "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.
[ "ਕਾਂਗਰਸੀ", "ਆਗੂਆਂ", "ਨੇ", "ਇਸ", "ਬਾਰੇ", "ਡਿਪਟੀ", "ਕਮਿਸ਼ਨਰ", "ਨੂੰ", "ਮੰਗ", "ਪੱਤਰ", "ਵੀ", "ਸੌਂਪਿਆ", "।" ]
[ "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.
[ "ਬ੍ਰਜੋਮੋਹੂਨ", "ਕਾਲਜ", "ਵਿਚ", "ਪੜ੍ਹਦਿਆਂ", "ਉਹ", "ਰੋਜ਼ੀ", "-", "ਰੋਟੀ", "ਲਈ", "ਕੋਲਕਾਤਾ", "ਚਲਾ", "ਗਿਆ", "।" ]
[ "B-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਸੀਐੱਮ", "ਦੇਵੇਂਦਰ", "ਫਡਣਵੀਸ", "ਦੱਖਣੀ", "ਪੱਛਮੀ", "ਨਾਗਪੁਰ", "ਦੀ", "ਸੀਟ", "ਤੋਂ", "ਚੋਣ", "ਲੜਨਗੇ", "।" ]
[ "O", "B-PER", "I-PER", "B-LOC", "I-LOC", "I-LOC", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਅੰਬੇਦਕਰ", "ਨੂੰ", "ਸ਼ਰਧਾਂਜਲੀ", "ਦਿੱਤੀ", "।" ]
[ "B-PER", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਮਹਾਂਰਾਸ਼ਟਰ", "ਵਿੱਚ", "ਭਾਜਪਾ", "-", "ਸ਼ਿਵ", "ਸੈਨਾ", "ਗਠਜੋੜ", "ਸਰਕਾਰ", "ਵਿੱਚ", "ਦੋ", "ਹੀ", "ਮਹਿਲਾ", "ਮੰਤਰੀ", "ਹਨ", "-", "ਪੰਕਜਾ", "ਮੁੰਡੇ", "ਅਤੇ", "ਵਿੱਦਿਆ", "ਠਾਕੁਰ", "।" ]
[ "B-LOC", "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "B-PER", "I-PER", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਹਾਲਾਂਕਿ", "ਬਿਹਾਰ", "ਦੇ", "ਇਸ", "ਮਾਮਲੇ", "ਵਿੱਚ", "ਮੁੱਖ", "ਮੰਤਰੀ", "ਨਿਤਿਸ਼", "ਕੁਮਾਰ", "ਨਾਰਾਜ਼", "ਹਨ", "।" ]
[ "O", "B-LOC", "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਗੁਰੂ", "ਨਾਨਕ", "ਦੇਵ", "ਦੇ", "550ਵੇਂ", "ਪ੍ਰਕਾਸ਼", "ਪੁਰਬ", "ਨੂੰ", "ਸਮਰਪਿਤ", "ਸਿੱਕਾ", "ਜਾਰੀ", "ਕਰਦੇ", "ਹੋਏ", "ਉਪ", "ਰਾਸ਼ਟਰਪਤੀ", "ਐਮ", "ਵੈਂਕਈਆ", "ਨਾਇਡੂ", "।" ]
[ "B-PER", "I-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "I-PER", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਉਨ੍ਹਾਂ", "ਦੱਸਿਆ", "ਕਿ", "ਤਸਕਰ", "ਨੂੰ", "ਗ੍ਰਿਫਤਾਰ", "ਕਰ", "ਲਿਆ", "।" ]
[ "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", "ਘਟਨਾ", "'", "ਤੇ", "ਦੁੱਖ", "ਪ੍ਰਗਟਾਉਂਦੇ", "ਹੋਏ", "ਪ੍ਰਧਾਨ", "ਮੰਤਰੀ", "ਨਰਿੰਦਰ" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-PER" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "Berat", "ਦੇ", "ਕੋਲ", "ਜਲਵਾਯੂ", "ਹਲਾਤਾਂ", "ਲਈ", "ਅਨੁਕੂਲ", "ਹੈ", "ਖੇਤੀ", "ਅਤੇ", "ਸਬੰਧਤ", "ਖੇਤੀਬਾੜੀ", "ਉਦਯੋਗੋਂ", "।" ]
[ "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਇਸ", "ਗੈਪ", "ਨੂੰ", "ਭਰਨ", "ਲਈ", "ਇਸੇ", "ਮਹੀਨੇ", "15", "ਦਿਨ", "ਦੀ", "ਇੱਕ", "ਵਿਸ਼ੇਸ਼", "ਮੁਹਿੰਮ", "ਵੀ", "ਚਲਾਈ", "ਗਈ", ",", "ਜਿਸ", "ਨਾਲ", "40", "ਲੱਖ", "ਤੋਂ", "ਅਧਿਕ", "ਕਿਸਾਨਾਂ", "ਨੂੰ", "KCC", "ਨਾਲ", "ਜੋੜਿਆ", "ਗਿਆ", "ਹੈ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਸਾਬਕਾ", "ਕ੍ਰਿਕਟਰ", "ਗੌਤਮ", "ਗੰਭੀਰ", "ਭਾਜਪਾ", "'", "ਚ", "ਹੋਏ", "ਸ਼ਾਮਲ", ",", "ਦਿੱਲੀ", "ਤੋਂ", "ਲੜ", "ਸਕਦੇ", "ਨੇ", "ਚੋਣਾਂ" ]
[ "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਭੁੱਚੋ", "ਮੰਡੀ", ",", "20", "ਸਤੰਬਰ" ]
[ "B-PER", "I-PER", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਮਿ੍ਤਕਾਂ", "ਦੀ", "ਪਛਾਣ", "ਰਾਮਪਾਲ", "ਸ਼ਰਮਾ", "ਅਤੇ", "ਉਸ", "ਦੇ", "ਪੁੱਤਰ", "ਸਾਯਨ", "ਸ਼ਰਮਾ", "ਵਜੋਂ", "ਹੋਈ", "ਹੈ", "।" ]
[ "O", "O", "O", "B-PER", "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.
[ "ਕੋਵਿਡ", "-", "19", "ਮਹਾਂਮਾਰੀ", "ਦੇ", "ਕਾਰਨ", "ਲਗਾਏ", "ਗਏ", "ਲਾਕਡਾਊਨ", "ਦੌਰਾਨ", ",", "ਜਦੋਂ", "ਹੋਰਸਾਰੇ", "ਆਰਥਿਕ", "ਖੇਤਰ", "ਨਕਾਰਾਤਮਕ", "ਅੰਕੜੇ", "ਦਿਖਾ", "ਰਹੇ", "ਸਨ", ",", "ਖੇਤੀਬਾੜੀ", "ਸੈਕਟਰ", "ਨੇ", "ਸਕਾਰਾਤਮਕ", "ਰੁਝਾਨ", "ਦਿਖਾਇਆ", "ਅਤੇ", "ਪੰਜਾਬ", "ਦੀ", "ਛੇਤੀ", "ਬਹਾਲੀ", "ਵਿਚ", "ਆਪਣਾ", "ਯੋਗਦਾਨ", "ਪਾਇਆ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-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.
[ "ਭਾਈ", "ਹਵਾਰਾ", "ਇਸ", "ਵੇਲੇ", "ਦਿੱਲੀ", "ਦੀ", "ਤਿਹਾੜ", "ਜੇਲ੍ਹ", "ਵਿਖੇ", "ਨਜ਼ਰਬੰਦ", "ਹਨ", "।" ]
[ "O", "B-PER", "O", "O", "B-LOC", "O", "B-LOC", "I-LOC", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਇਸ", "ਨਾਲ", "ਲੋਕਾਂ", "'", "ਚ", "ਰੋਸ", "ਵਧ", "ਰਿਹਾ", "ਹੈ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਅੰਮ੍ਰਿਤਸਰ", "ਵਿੱਚ", "ਵਿਰਸਾ", "ਵਿਹਾਰ", "ਸੁਸਾਇਟੀ", "ਵਿਖੇ", "ਗੁਰੂ", "ਨਾਨਕ", "ਦੇਵ", "ਯੂਨੀਵਰਸਿਟੀ", "ਦੇ", "ਵਾਈਸ", "ਚਾਂਸਲਰ", "ਪ੍ਰੋ", "." ]
[ "B-LOC", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "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.
[ "ਲੋਕਾਂ", "ਨੂੰ", "ਵਿਕਾਸ", "ਵਾਸਤੇ", "ਵੋਟ", "ਪਾਉਣ", "ਲਈ", "ਕਹਿੰਦੇ", "ਹੋਏ", "ਸ਼", "ਬਾਦਲ", "ਨੇ", "ਕਿਹਾ", "ਕਿ", "ਅਕਾਲੀ", "-", "ਭਾਜਪਾ", "ਗਠਜੋੜ", "ਆਪਣੀ", "ਕਾਰਗੁਜ਼ਾਰੀ", "ਵਾਸਤੇ", "ਤੁਹਾਡੀ", "ਵੋਟ", "ਮੰਗਦਾ", "ਹੈ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the 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", "ਸਕੱਤਰ", "ਨਾਲ", "ਕੁੱਟਮਾਰ", "ਦਾ", "ਮਾਮਲਾ", "ਨਵੀਂ", "ਦਿੱਲੀ", "/", ":", "ਦਿੱਲੀ", "ਪੁਲਿਸ", "ਵੱਲੋਂ", "ਦਿੱਲੀ", "ਦੇ", "ਮੁੱਖ", "ਸਕੱਤਰ", "ਅੰਸ਼ੂ", "ਪ੍ਰਕਾਸ਼", "ਮਾਮਲੇ", "ਦੀ", "ਚਾਰਜਸ਼ੀਟ", "ਅਦਾਲਤ", "ਵਿੱਚ", "ਦਾਖ਼ਲ", "ਕਰ", "ਦਿੱਤੀ", "ਗਈ", "ਜਿਸ", "ਵਿੱਚ", "ਦਿੱਲੀ", "ਦੇ", "ਮੁੱਖ", "ਮੰਤਰੀ", "ਅਰਵਿੰਦ", "ਕੇਜਰੀਵਾਲ", ",", "ਉਪ", "ਮੁੱਖ", "ਮੰਤਰੀ", "ਮਨੀਸ਼", "ਸਿਸੋਦੀਆ", "ਤੇ", "11", "ਵਿਧਾਇਕਾਂ", "ਦੇ", "ਨਾਂ", "ਸ਼ਾਮਲ", "ਹਨ", "।" ]
[ "O", "O", "O", "O", "O", "O", "B-LOC", "I-LOC", "O", "O", "B-ORG", "I-ORG", "O", "B-LOC", "O", "O", "O", "B-ORG", "B-PER", "I-ORG", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਇਸ", "ਦਾ", "ਕਾਰਨ", "ਇਹ", "ਹੈ", "ਕਿ", "ਵਿਸ਼ਾਲ", "ਰਿਫ਼ਟ", "ਘਾਟੀ", ",", "ਯਾਨੀ", "ਭੂਮੱਧ", "ਸਾਗਰੀ", "ਅਤੇ", "ਅਰਬ", "ਸਾਗਰੀ", "ਪਰਤਾਂ", "ਵਿਚਲੀ", "ਦਰਾੜ", "ਠੀਕ", "ਇਜ਼ਰਾਈਲ", "ਵਿਚ", "ਉੱਤਰ", "ਤੋਂ", "ਦੱਖਣ", "ਵੱਲ", "ਪਸਰੀ", "ਹੋਈ", "ਹੈ", "।" ]
[ "O", "O", "O", "O", "O", "O", "B-LOC", "I-LOC", "I-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਉਨ੍ਹਾਂ", "ਕਿਹਾ", "ਕਿ", "ਕੋਈ", "ਵੀ", "ਫ਼ੈਸਲਾ", "ਯੂਪੀਏ", "ਬਨਾਮ", "ਐਨਡੀਏ", "ਜਾਂ", "ਸਿਆਸਤ", "ਦੇ", "ਆਧਾਰ", "'", "ਤੇ", "ਨਹੀਂ", "ਲਿਆ", "ਗਿਆ", "।" ]
[ "O", "O", "O", "O", "O", "O", "B-ORG", "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਇਹ", "ਪੁਰਸਕਾਰ", "ਤਿੰਨ", "ਸਮੂਹਾਂ", "ਵਿੱਚ", "ਹੋਣਗੇ", "-", "ਪਹਿਲੇ", "ਸਮੂਹ", "ਵਿੱਚ", "8", "ਉੱਤਰ", "-", "ਪੂਰਬੀ", "ਸੂਬੇ", "ਅਤੇ", "ਤਿੰਨ", "ਪਹਾੜੀ", "ਸੂਬੇ", "ਉੱਤਰਾਖੰਡ", ",", "ਹਿਮਾਚਲ", "ਪ੍ਰਦੇਸ਼", "ਅਤੇ", "ਜੰਮੂ", "-", "ਕਸ਼ਮੀਰ", "ਸ਼ਾਮਲ", "ਹਨ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "O", "B-LOC", "I-LOC", "O", "B-LOC", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਉਸਦੀ", "ਇੱਕ", "ਵੱਡੀ", "ਭੈਣ", "ਅਤੇ", "ਇੱਕ", "ਛੋਟਾ", "ਭਰਾ", "ਵੀ", "ਹੈ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਕੋਟਾਲੀਪਾੜਾ", "ਦੇ", "ਪੁਲਿਸ", "ਥਾਣੇ", "ਦੇ", "ਇੰਚਾਰਜ", "ਮੁਹੰਮਦ", "ਕਮਰੂਲ", "ਫਾਰੁਕ", "ਨੇ", "ਦੱਸਿਆ", "ਕਿ", "ਦੋ", "ਦੋਸ਼ੀਆਂ", "ਨੂੰ", "ਗ੍ਰਿਫਤਾਰ", "ਕਰ", "ਲਿਆ", "ਗਿਆ", "ਹੈ", "ਤੇ", "ਬਾਕੀ", "ਦੋਸ਼ੀਆਂ", "ਨੂੰ", "ਫੜਨ", "ਦੀ", "ਕੋਸ਼ਿਸ਼", "ਕੀਤੀ", "ਜਾ", "ਰਹੀ", "ਹੈ", "।" ]
[ "B-LOC", "O", "O", "O", "O", "O", "B-PER", "I-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਵੀਰਭੱਦਰ", "ਕੇਸਃ", "ਐਲਆਈਸੀ", "ਏਜੰਟ", "ਨੂੰ", "ਅੰਤਰਿਮ", "ਜ਼ਮਾਨਤ" ]
[ "B-ORG", "O", "B-ORG", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਤੀਟ", "Y", "ਵਿਸਥਾਪਨ" ]
[ "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.
[ "\"", "ਜਦ", "ਗਲੋਬਲ", "ਵੋਆਇਸਿਸ", "ਦਾ", "ਗਠਨ", "ਕੀਤਾ", "ਗਿਆ", "ਸੀ", ",", "ਇਸ", "ਦੇ", "ਉਦੇਸ਼", "ਸਨਃ", "ਪਹਿਲੀ", ",", "\"", "\"", "ਬ੍ਰਿਜ", "ਬਲੌਗਰਸ", "\"", "\"", "ਦੀ", "ਇੱਕ", "ਕਮਿਊਨਿਟੀ", "ਨੂੰ", "ਯੋਗ", "ਅਤੇ", "ਸਮਰੱਥ", "ਬਣਾਉਣਾ", ",", "ਜੋ", "\"", "\"", "ਦੋ", "ਭਾਸ਼ਾਵਾਂ", "ਜਾਂ", "ਦੋ", "ਸੱਭਿਆਚਾਰਾਂ", "ਵਿਚਕਾਰ", "ਇੱਕ", "ਪੁਲ", "ਬਣਾ", "ਸਕਦੇ", "ਹਨ", "।", "\"" ]
[ "O", "O", "B-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the 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", "ਮਨੁੱਖੀ", "ਅਧਿਕਾਰਾਂ", ",", "ਗਰੰਟੀਆਂ", ",", "ਔਰਤਾਂ", ",", "ਬੱਚਿਆਂ", ",", "ਬੱਚਿਆਂ", "ਅਤੇ", "ਅੱਲੜ੍ਹਾਂ", "ਵਰਗੇ", "ਮੁੱਦਿਆਂ", "'", "ਤੇ", "ਬੁਏਨਸ", "ਏਅਰਜ", "ਦੀ", "ਡਿਪਟੀ", "ਡਾਇਨਾ", "ਮਾਫੀਆ", "ਦੀ", "ਵਿਧਾਇਕੀ", "ਸਲਾਹਕਾਰ", "ਵਜੋਂ", "ਵੀ", "ਕੰਮ", "ਕੀਤਾ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "I-LOC", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਇੱਥੇ", "ਕੇਰਲਾ", "ਸਟੇਟ", "ਟਰਾਂਸਪੋਰਟ", "ਬੱਸ", "ਤੇ", "ਟਰੱਕ", "ਵਿਚਾਲੇ", "ਹੋਈ", "ਟੱਕਰ", "'", "ਚ", "19", "ਲੋਕਾਂ", "ਦੀ", "ਮੌਤ", "ਹੋ", "ਗਈ", "।" ]
[ "O", "B-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਮੁੱਖ", "ਤੌਰ", "ਤੇ", "ਆਪਣੇ", "ਮਹਾਂ", "ਗੁਰੂ", "ਯਿਸੂ", "ਮਸੀਹ", "ਦੀ", "ਰੀਸ", "ਕਰ", "ਕੇ", "।" ]
[ "O", "O", "O", "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.
[ "ਇਹ", "ਕਦਮ", "ਅਮਰੀਕੀ", "ਨਿਵੇਸ਼", "ਫਰਮਾਂ", ",", "ਪੈਨਸ਼ਨ", "ਫੰਡਾਂ", "ਅਤੇ", "ਹੋਰਾਂ", "ਨੂੰ", "31", "ਚੀਨੀ", "ਕੰਪਨੀਆਂ", "ਦੇ", "ਸ਼ੇਅਰ", "ਖਰੀਦਣ", "ਤੋਂ", "ਰੋਕਣ", "ਲਈ", "ਲਿਆ", "ਗਿਆ", "ਹੈ", ",", "ਜਿਸ", "ਨੂੰ", "ਰੱਖਿਆ", "ਵਿਭਾਗ", "ਨੇ", "ਚੀਨੀ", "ਸੈਨਿਕ", "ਸਹਾਇਤਾ", "ਪ੍ਰਾਪਤ", "ਕੰਪਨੀਆਂ", "ਕਰਾਰ", "ਦਿੱਤਾ", "ਹੈ", "।" ]
[ "O", "O", "B-LOC", "I-LOC", "I-LOC", "I-LOC", "I-LOC", "I-LOC", "I-LOC", "I-LOC", "I-LOC", "I-LOC", "I-LOC", "I-LOC", "I-LOC", "I-LOC", "I-LOC", "I-LOC", "I-LOC", "I-LOC", "I-LOC", "I-LOC", "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.
[ "ਇਸੇ", "ਤਰਾਂ", ",", "ਸਪਿੱਨ", "ਦੇ", "-", "ħ", "/", "2", "ਨਾਪੇ", "ਜਾਣ", "ਦੀ", "ਪ੍ਰੋਬੇਬਿਲਟੀ", "।", "⟨", "ψ", "x", "−", "।", "ψ", "⟩", "।", "2", "\\vert", "\\psi", "\\rangle", "\\right\\vert", "^", "{", "2", "}", "}", "ਹੁੰਦੀ", "ਹੈ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਰੱਖਿਆ", "ਮੰਤਰੀ", "ਲਿੰਡਾ", "ਰੇਨੋਲਡਜ਼", "ਦੇ", "ਹਵਾਲੇ", "ਨਾਲ", "ਕਿਹਾ", "ਗਿਆ", "ਹੈ", "ਕਿ", "ਇਸ", "ਵਿਚ", "ਕੋਈ", "ਸ਼ੱਕ", "ਨਹੀਂ", "ਹੈ", "ਕਿ", "ਖਤਰਨਾਕ", "ਸਾਈਬਰ", "ਗਤੀਵਿਧੀਆਂ", "ਦੀ", "ਬਾਰੰਬਾਰਤਾ", ",", "ਪੈਮਾਨੇ", ",", "ਸੂਝ", "-", "ਬੂਝ", "ਅਤੇ", "ਇਸ", "ਦੇ", "ਪ੍ਰਭਾਵ", "ਵਿਚ", "ਵਾਧਾ", "ਹੋ", "ਰਿਹਾ", "ਹੈ", "।" ]
[ "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the 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", "ਗ੍ਰਹਿ", "ਮੰਤਰਾਲਾ", "ਦੇ", "ਸੂਤਰਾਂ", "ਨੇ", "ਦਿੱਲੀ", "'", "ਚ", "ਦੱਸਿਆ", "ਕਿ", "ਬੀ", ".", "ਐੱਸ", ".", "ਐੱਫ", ".", "ਦੀ", "35", "ਸਣੇ", "ਇਸ", "ਨੀਮ", "ਫੌਜੀ", "ਬਲ", "ਦੀ", "100", "ਕੰਪਨੀਆਂ", "ਲੋਕ", "ਸਭਾ", "ਚੋਣਾਂ", "ਤੋਂ", "ਪਹਿਲਾਂ", "ਨਿਯਮਤ", "ਅਭਿਆਸ", "ਲਈ", "ਤਾਇਨਾਤ", "ਕੀਤੀ", "ਜਾ", "ਰਹੀ", "ਹੈ", "।" ]
[ "O", "O", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਪ੍ਰਭਾਵਃ", "ਸਹਿਮਤੀ", "ਪੱਤਰ", "ਨਾਲ", "ਡੀਜੀਐੱਮਐੱਸ", "ਅਤੇ", "ਐੱਸਆਈਐੱਮਟੀਏਆਰਐੱਸ", "ਦਰਮਿਆਨ", "ਹੇਠ", "ਲਿਖਿਆਂ", "ਲਈ", "ਸਾਂਝੇਦਾਰੀ", "ਕਾਇਮ", "ਕਰਨ", "ਵਿੱਚ", "ਮਦਦ", "ਮਿਲੇਗੀਃ", "ਜੋਖ਼ਮ", "ਅਧਾਰਤ", "ਪ੍ਰਬੰਧਨ", "ਪ੍ਰਣਾਲੀ", "ਲਾਗੂਕਰਨ", ",", "ਸਿਖਲਾਈ", "ਪ੍ਰਦਾਨ", "ਕਰਨਾ", ",", "ਕਾਨਫਰੰਸ", ",", "ਸੈਮੀਨਾਰ", "ਅਤੇ", "ਹੋਰ", "ਤਕਨੀਕੀ", "ਬੈਠਕਾਂ", "ਦਾ", "ਆਯੋਜਨ", ",", "ਵਪਾਰਕ", "ਸੁਰੱਖਿਆ", "ਅਤੇ", "ਸਿਹਤ", "ਅਕਾਦਮੀ", "ਅਤੇ", "ਰਾਸ਼ਟਰੀ", "ਖਨਨ", "ਆਪਦਾ", "ਕੇਂਦਰ", "ਦੀ", "ਸਥਾਪਨਾ", "ਅਤੇ", "ਡੀਜੀਐੱਮਐੱਸ", "ਵਿੱਚ", "ਖੋਜ", "ਤੇ", "ਵਿਕਾਸ", "ਪ੍ਰਯੋਗਸ਼ਾਲਾ", "ਦਾ", "ਆਧੁਨਿਕੀਕਰਨ", "।" ]
[ "O", "O", "O", "O", "B-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", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਭਾਰਤੀ", "ਰੇਲਵੇ", "ਨੇ", "ਲੌਕਡਾਊਨ", "ਦੀ", "ਸ਼ੂਰਆਤ", "ਤੋਂ", "ਹੀ", "ਦੇਸ਼", "ਦੇ", "ਦੂਰ", "-", "ਦੁਰਾਡੇ", "ਟਿਕਾਣਿਆਂ", "'", "ਤੇ", "ਭੋਜਨ", "ਅਤੇ", "ਦਵਾਈਆਂ", "ਜਿਹੀਆਂ", "ਵਸਤਾਂ", "ਦੀ", "ਸਪਲਾਈ", "ਚੇਨ", "ਅਤੇ", "ਲੌਜਿਸਟਿਕ", "ਲਿਜਾਣ", "ਵਿੱਚ", "ਇੱਕ", "ਮਹੱਤਵਪੂਰਨ", "ਭੂਮਿਕਾ", "ਨਿਭਾਈ", "ਹੈ", "।" ]
[ "B-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਖੁਰਾਣਾ", "ਪਰਿਵਾਰ", "ਦੀ", "ਅਰਜ਼ੀ", "'", "ਤੇ", "ਪੰਜਾਬ", "ਅਤੇ", "ਹਰਿਆਣਾ", "ਹਾਈ", "ਕੋਰਟ", "ਨੇ", "ਜਾਂਚ", "ਦਾ", "ਕੰਮ", "ਸੀਬੀਆਈ", "ਨੂੰ", "ਦਿੱਤਾ", "ਸੀ", "।" ]
[ "B-PER", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "B-ORG", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਮੋਇਲੀ", "ਨੇ", "ਪਿਛਲੇ", "ਹਫ਼ਤੇ", "ਹੀ", "ਕਿਹਾ", "ਸੀ", "ਕਿ", "ਲੋਕ", "ਸਭਾ", "ਚੋਣਾਂ", "'", "ਚ", "ਜ਼ਬਰਦਸਤ", "ਹਾਰ", "ਤੋਂ", "ਬਾਅਦ", "ਕਾਂਗਰਸ", "ਨੂੰ", "ਇਕ", "ਵੱਡੇ", "ਆਪਰੇਸ਼ਨ", "ਦੀ", "ਜ਼ਰੂਰਤ", "ਹੈ", "।" ]
[ "B-PER", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਇਸ", "ਕਾਰਨ", "ਲੋਕਾਂ", "ਨੂੰ", "ਭਾਰੀ", "ਮੁਸ਼ਕਲਾਂ", "ਦਾ", "ਸਾਹਮਣਾ", "ਕਰਨਾ", "ਪਿਆ", "।" ]
[ "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.
[ "'", "ਸੰਜੂ", "'", "ਬਾਇਓਪਿਕ", "ਵਿੱਚ", "ਰਣਬੀਰ", "ਸੰਜੇ", "ਦੱਤ", "ਦੇ", "ਕਿਰਦਾਰ", "ਵਿੱਚ", "ਨਜ਼ਰ", "ਆ", "ਰਹੇ", "ਹਨ", "।" ]
[ "O", "B-LOC", "O", "O", "O", "B-PER", "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.
[ "ਉਹ", "ਮਾਂਟੀਰੀਅਲ", "ਓਲੰਪਿਕ", "ਵੀ", "ਖੇਡਿਆ", "।" ]
[ "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.
[ "ਚੰਡੀਗੜ", "-", "ਹਰਿਆਣਾ", "ਦੇ", "ਮੁੱਖ", "ਮੰਤਰੀ", "ਮਨੋਹਰ", "ਲਾਲ", "ਨੇ", "ਰਾਜ", "ਵਿਚ", "ਵੱਖ", "-", "ਵੱਖ", "ਸੜਕਾਂ", "ਨੂੰ", "ਚੌੜਾ", "ਅਤੇ", "ਮਜਬੂਤ", "ਕਰਨ", "ਲਈ", "24.65", "ਕਰੋੜ", "ਰੁਪਏ", "ਤੋਂ", "ਵੱਧ", "ਦੀ", "ਰਕਮ", "ਨੂੰ", "ਪ੍ਰਸ਼ਾਸਨਿਕ", "ਪ੍ਰਵਾਨਗੀ", "ਦਿੱਤੀ", "।" ]
[ "O", "O", "B-LOC", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]