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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.
[ "ਪੱਛਮੀ", "ਨਿਊਯਾਰਕ", "ਨੂੰ", "ਗ੍ਰੇਟ", "ਲੇਕਸ", "ਖੇਤਰ", "ਦਾ", "ਹਿੱਸਾ", "ਮੰਨਿਆ", "ਜਾਂਦਾ", "ਹੈ", "ਅਤੇ", "ਓਂਟਾਰੀਓ", "ਝੀਲ", ",", "ਈਰੀ", "ਝੀਲ", "ਅਤੇ", "ਨਿਆਗਰਾ", "ਫਾਲਸ", "ਦੀ", "ਸਰਹੱਦ", "ਹੈ", "।" ]
[ "B-LOC", "I-LOC", "O", "B-LOC", "I-LOC", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "I-LOC", "O", "B-LOC", "I-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.
[ "ਇਹ", "ਕਿਸੇ", "ਵੀ", "ਉਮਰ", "ਵਰਗ", "ਦੇ", "ਵਿਅਕਤੀ", "ਨੂੰ", "ਹੋ", "ਸਕਦੀ", "ਹੈ", "।" ]
[ "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.
[ "[", "ਸਫ਼ੇ", "25", "ਉੱਤੇ", "ਤਸਵੀਰ", "ਦੀ", "ਕ੍ਰੈਡਿਟ", "ਲਾਈਨ", "]" ]
[ "O", "O", "O", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the 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", "ਪੁਲਾੜ", "ਯਾਤਰੀ", "ਹਨ", "-", "ਨਾਸਾ", "ਦੇ", "ਐਨੀ", "ਮੈੱਕੇਲੇਨ", ",", "ਕੈਨੇਡਾ", "ਦੇ", "ਡੇਵਿਡ", "ਸੈਂਟ", "ਜੈਕਸ", "ਤੇ", "ਰੂਸ", "ਦੇ", "ਓਲੇਗ", "ਕੋਨੋਨੇਂਕੋ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "B-PER", "I-PER", "I-PER", "O", "B-ORG", "O", "B-PER", "I-PER", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਦੂਜੇ", "ਪਾਸੇ", "ਟਰਸੱਟ", "ਦੇ", "ਸੁਪਰਡੈਂਟ", "ਇੰਜਨੀਅਰ", "ਰਜੀਵ", "ਸੇਖੜੀ", "ਨੇ", "ਆਖਿਆ", "ਕਿ", "ਤਿਰੰਗੇ", "ਝੰਡੇ", "ਦਾ", "ਆਕਾਰ", "ਛੋਟਾ", "ਕੀਤੇ", "ਜਾਣ", "ਬਾਰੇ", "ਕੋਈ", "ਜਾਣਕਾਰੀ", "ਨਹੀਂ", "ਹੈ", "।" ]
[ "O", "O", "B-ORG", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਵਿਦੇਸ਼ੀਆਂ", "'", "ਚ", "ਆਸਟਰੇਲੀਆ", "ਦੇ", "35", "ਜਦੋਂਕਿ", "ਅਫ਼ਗਾਨਿਸਤਾਨ", "ਦੇ", "27", "ਖਿਡਾਰਨੀਆਂ", "ਨੇ", "ਰਜਿਸਟਰੇਸ਼ਨ", "ਕਰਵਾਈ", "ਹੈ", "।" ]
[ "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.
[ "ਸਕਾਟਲੈਂਡ", "ਦੇ", "ਐਡੀਨਬਰਗ", "ਦੀ", "ਜੈਮੀ", "ਡਗਲਸ", "-", "ਹੈਮਿਲਟਨ", ",", "ਓ", "ਬਰੇਡੀ", "ਦੇ", "ਸਾਥੀ", "ਰੋਵਰ", "ਲਈ", "ਸਭ", "ਤੋਂ", "partਖਾ", "ਹਿੱਸਾ", ",", "ਤੱਤਾਂ", "ਦੀ", "ਨਿਰੰਤਰ", "ਬੰਬਾਰੀ", "ਸੀ", "." ]
[ "B-LOC", "O", "B-LOC", "O", "B-PER", "I-PER", "O", "B-LOC", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "66", "(", "3", ")", "ਜੇਕਿਸੇ", "ਉੱਚ", "ਅਦਾਲਤ", "ਦੇ", "ਕਿਸੇ", "ਜੱਜਕੀ", "ਉਮਰ", "ਬਾਬਤ", "ਕੋਈ", "ਸਵਾਲ", "ਪੈਦਾ", "ਹੋਵੇਤਾਂ", "ਉਸ", "ਸਵਾਲ", "ਦਾ", "ਫੈਸਲਾ", "ਰਾਸ਼ਟਰਪਤੀ", "ਦੁਆਰਾ", "ਭਾਰਤ", "ਦੇ", "ਚੀਫ", "ਜਸਟਿਸ", "ਨਾਲ", "ਮਸ਼ਵਰਾ", "ਕਰਨ", "ਪਿੱਛੋਂ", "ਕੀਤਾ", "ਜਾਵੇਗਾ", "ਅਤੇ", "ਰਾਸ਼ਟਰਪਤੀ", "ਦਾ", "ਫੈਸਲਾਂ", "ਅੰਤਮ", "ਹੋਵੇਗਾ", "।" ]
[ "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਕੁਝ", "ਲੋਕਾਂ", "ਨੇ", "ਯਿਸੂ", "ਦੀ", "ਗੱਲ", "ਸੁਣੀ", "ਅਤੇ", "70", "ਈਸਵੀ", "ਵਿਚ", "ਯਰੂਸ਼ਲਮ", "ਉੱਤੇ", "ਆਈ", "ਤਬਾਹੀ", "ਤੋਂ", "ਬਚ", "ਨਿਕਲੇ", "।", "-", "ਲੂਕਾ", "21:20", "-", "22", "." ]
[ "O", "O", "O", "B-PER", "O", "O", "O", "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.
[ "ਵਕੀਲ", "ਪੁਨੀਤ", "ਜ਼ਖ਼ਮੀ", "ਨੇ", "ਦੱਸਿਆ", "ਕਿ", "ਅਦਾਲਤ", "ਨੇ", "ਦੋਵੇਂ", "ਪੁਲੀਸ", "ਅਧਿਕਾਰੀਆਂ", "ਨੂੰ", "ਅੱਠ", "ਫਰਵਰੀ", "ਨੂੰ", "ਪੇਸ਼", "ਹੋਣ", "ਲਈ", "ਆਖਿਆ", "ਹੈ", "।" ]
[ "O", "B-PER", "I-PER", "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.
[ "ਮੁਲਜ਼ਮਾਂ", "ਦੀ", "ਪਛਾਣ", "ਰਾਕੇਸ਼", "ਕੁਮਾਰ", "ਤੇ", "ਸੁਰਜੀਤ", "ਸਿੰਘ", "ਦੋਵੇਂ", "ਵਾਸੀ", "ਹਮੀਰਪੁਰ", "ਅਤੇ", "ਵਿਜੇ", "ਕੁਮਾਰ", "ਵਾਸੀ", "ਚੰਬਾ", "ਵਜੋਂ", "ਹੋਈ", "ਹੈ", "।" ]
[ "O", "O", "O", "B-PER", "I-PER", "O", "B-PER", "I-PER", "O", "O", "B-LOC", "O", "B-PER", "I-PER", "O", "B-LOC", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਉਸ", "ਤੋਂ", "ਬਾਅਦ", "ਕਿਓਸਕ", "ਯਾਤਰੀ", "ਨੂੰ", "ਰਸੀਦ", "ਜਾਰੀ", "ਕਰੇਗਾ", "ਅਤੇ", "ਸਾਮਾਨ", "ਦੇ", "ਦਾਅਵੇ", "ਅਤੇ", "ਬਾਹਰ", "ਨਿਕਲਣ", "ਦਾ", "ਨਿਰਦੇਸ਼", "ਦੇਵੇਗਾ", "।" ]
[ "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਮੋਦੀ", "ਨੇ", "ਨੇਪਾਲ", "ਦੇ", "ਪ੍ਰਧਾਨ", "ਮੰਤਰੀ", "ਨਾਲ", "ਕੀਤੀ", "ਮੁਲਾਕਾਤ" ]
[ "B-PER", "O", "B-LOC", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਸੁਲਤਾਨਪੁਰ", "ਲੋਧੀ", "ਦੇ", "ਵਿਧਾਇਕ", "ਨਵਤੇਜ", "ਸਿੰਘ", "ਚੀਮਾ", "ਨੇ", "ਸ੍ਰੀ", "ਗੁਰੂ", "ਨਾਨਕ", "ਦੇਵ", "ਜੀ", "ਦੇ", "550ਵੇਂ", "ਪ੍ਰਕਾਸ਼", "ਪੁਰਬ", "ਦੇ", "ਮੱਦੇਨਜ਼ਰ", "ਚੰਡੀਗੜ•", "ਅਤੇ", "ਨਵੀਂ", "ਦਿੱਲੀ", "ਤੋਂ", "ਪਵਿੱਤਰ", "ਨਗਰ", "ਸੁਲਤਾਨਪੁਰ", "ਲੋਧੀ", "ਲਈ", "ਵਿਸ਼ੇਸ਼", "ਵੌਲਵੋ", "ਬੱਸਾਂ", "ਚਲਾਉਣ", "ਦੀ", "ਮੰਗ", "ਕੀਤੀ", "।" ]
[ "B-PER", "I-PER", "I-PER", "I-PER", "I-PER", "I-PER", "I-PER", "O", "B-PER", "I-PER", "I-PER", "I-PER", "I-PER", "O", "O", "B-ORG", "O", "O", "O", "B-LOC", "O", "B-LOC", "I-LOC", "O", "O", "O", "B-LOC", "I-LOC", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਐਲਬਮ", "ਵਿੱਚ", "ਇੰਪੋਰਟ", "ਕਰਨ", "ਵਾਸਤੇ", "ਫੋਲਡਰ", "ਚੁਣੋ" ]
[ "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਸਾਇੰਸ", "ਓਲੰਪਿਆਡ", "ਫ਼ਾਊਂਡੇਸ਼ਨ", ",", "ਐਸਓਐਫ਼", ",", "ਨੇ", "ਰਾਜਧਾਨੀ", "ਦਿੱਲੀ", "ਵਿਚ", "2018", "-", "19", "ਵਿਚ", "ਬਿਹਤਰੀਨ", "ਪ੍ਰਦਰਸ਼ਨ", "ਕਰਨ", "ਵਾਲੇ", "ਇੰਟਰਨੈਸ਼ਨਲ", "ਓਲੰਪਿਆਡ", "ਦੇ", "ਜੇਤੂ", "ਵਿਦਿਆਰਥੀਆਂ", "ਤੇ", "ਵਿਦਿਆਰਥਣਾਂ", "ਨੂੰ", "ਸਨਮਾਨਿਤ", "ਕੀਤਾ", "।" ]
[ "B-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "B-LOC", "I-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਅਮਰੀਕਾ", "ਨੇ", "ਇਨ੍ਹਾਂ", "ਹਮਲਿਆਂ", "ਲਈ", "ਈਰਾਨ", "ਨੂੰ", "ਜ਼ਿੰਮੇਵਾਰ", "ਠਹਿਰਾਇਆ", "ਹੈ", "।" ]
[ "B-LOC", "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.
[ "ਇਸ", "ਮੌਕੇ", "ਪੰਜਾਬ", "ਸਰਕਾਰ", "ਵਿਰੁੱਧ", "ਨਾਅਰੇਬਾਜ਼ੀ", "ਵੀ", "ਕੀਤੀ", "ਗਈ", "।" ]
[ "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਮੁੰਬਈ", "ਦੇ", "ਕਈ", "ਹਿੱਸਿਆਂ", "'", "ਚ", "ਬਾਰਸ਼", "ਨਾਲ", "ਪਾਣੀ", "ਭਰ", "ਗਿਆ", "।", "." ]
[ "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਹਿੰਦੁਸਤਾਨ", ",", "ਚੰਡੀਗੜ੍ਹ" ]
[ "B-LOC", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਅਟਾਰਨੀ", "ਜਨਰਲ", "ਜੀ", ".", "ਈ", ".", "ਵਾਹਨਵਤੀ", "ਬੈਂਚ", "ਦੀ", "ਸਹਾਇਤਾ", "ਕਰਨਗੇ", "।" ]
[ "O", "O", "B-PER", "I-PER", "I-PER", "I-PER", "I-PER", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਸ੍ਰੀਮਾਨ", "ਨੰਬਰਵਰੂ", "ਚਾਂਟੀਬੂ", "ਕਾਉਂਸਲ" ]
[ "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.
[ "ਦੇਸ਼", "ਭਰ", "ਵਿੱਚ", "ਸਾਰੇ", "ਸੰਸਥਾਨਾਂ", "ਨੂੰ", "ਕਵਰ", "ਕਰਨ", "ਵਾਲੇ", "120", "ਤੋਂ", "ਵੀ", "ਵੱਧ", "ਟੈਕਨੋਲੋਜੀ", "ਬਿਜ਼ਨਸ", "ਇਨਕਿਊਬੇਟਰ", "ਹਨ", "।", "'" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "I-ORG", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਉਸ", "ਵੇਲੇ", "ਲਾਲੂ", "ਯਾਦਵ", "ਬਿਹਾਰ", "ਦੇ", "ਮੁੱਖ", "ਮੰਤਰੀ", "ਸਨ", "।" ]
[ "O", "O", "B-PER", "I-PER", "B-LOC", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਅੰਨਾ", "ਹਜ਼ਾਰੇ", "ਵੱਲੋਂ", "ਦਿੱਲੀ", "'", "ਚ", "ਬੇਮਿਆਦੀ", "ਭੁੱਖ", "ਹੜਤਾਲ", "ਸ਼ੁਰੂ" ]
[ "B-PER", "I-PER", "O", "B-LOC", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਕਪਤਾਨ", "ਰਾਣੀ", "ਤੋਂ", "ਇਲਾਵਾ", "ਗੁਰਜੀਤ", "ਕੌਰ", ",", "ਲਾਲਰੇਮਸਿਆਮੀ", "ਤੇ", "ਗੋਲਕੀਪਰ", "ਸਵਿਤਾ", "ਦੇ", "ਪ੍ਰਦਰਸ਼ਨ", "'", "ਤੇ", "ਟੀਮ", "ਜਿੱਤ", "ਨਿਰਭਰ", "ਕਰੇਗੀ", "।" ]
[ "O", "B-PER", "O", "O", "B-PER", "I-PER", "O", "B-PER", "O", "B-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਪ੍ਰਧਾਨ", "ਮੰਤਰੀ", "ਨੇ", "ਰਾਸ਼ਟਰਪਤੀ", "ਮੂਨ", "ਵਲੋਂ", "ਸ੍ਰੀ", "ਚੁੰਗ", "ਨੂੰ", "ਵਿਸ਼ੇਸ਼", "ਦੂਤ", "ਵਜੋਂ", "ਭੇਜੇ", "ਜਾਣ", "ਦੀ", "ਕਾਰਵਾਈ", "ਪ੍ਰਤੀ", "ਪ੍ਰਸ਼ੰਸਾ", "ਦਾ", "ਪ੍ਰਗਟਾਵਾ", "ਕੀਤਾ", "।" ]
[ "O", "O", "O", "O", "B-PER", "O", "O", "B-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਪੁਲਿਸ", "ਨੇ", "ਅਣਪਛਾਤੇ", "ਲੁਟੇਰਿਆਂ", "ਖ਼ਿਲਾਫ਼", "ਮੁਕੱਦਮਾ", "ਦਰਜ", "ਕਰ", "ਲਿਆ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਸ੍ਰੀ", "ਕੇਜਰੀਵਾਲ", "ਨੇ", "ਵਫ਼ਦ", "ਨੂੰ", "ਭਰੋਸਾ", "ਦਿਵਾਇਆ", "ਕਿ", "ਉਹ", "ਪੰਜਾਬ", "ਵਿੱਚ", "ਪ੍ਰਾਈਵੇਟ", "ਯੂਨੀਵਰਸਿਟੀਆਂ", "ਲਈ", "ਰੈਗੂਲੇਟਰੀ", "ਬੋਰਡ", "ਬਣਾਉਣ", "ਦੇ", "ਮੁੱਦੇ", "ਨੂੰ", "ਕੌਮੀ", "ਪੱਧਰ", "'", "ਤੇ", "ਉਠਾਉਣਗੇ", "।" ]
[ "O", "B-PER", "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.
[ "ਦਿੱਲੀ", "ਨੇੜੇ", "-", "ਤੇੜੇ", "ਦੇ", "ਇਲਾਕਿਆਂ", "ਵਿਚ", "ਤੇਜ਼ੀ", "ਨਾਲ", "ਆਰਥਿਕ", "ਵਿਕਾਸ", "ਹੋਇਆ", "ਹੈ", "।" ]
[ "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.
[ "ਕੌਣ", "ਹੈ", "ਗੁਰਸ਼ਰਨਬੀਰ", "ਸਿੰਘ", "?" ]
[ "O", "O", "B-PER", "I-PER", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਕੌਮੀ", "ਝੰਡੇ", "ਦਾ", "ਭਾਜਪਾ", "ਪ੍ਰਧਾਨ", "ਅਮਿਤ", "ਸ਼ਾਹ", "ਹੱਥੋਂ", "ਹੋਇਆ", "ਨਿਰਾਦਰ" ]
[ "O", "O", "O", "B-ORG", "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.
[ "ਇਸ", "ਦਿਸ਼ਾ", "ਵਿੱਚ", "ਪਹਿਲਾ", "ਕਦਮ", "ਵਧਾਉਂਦਿਆਂ", "ਗੁਰੂ", "ਨਾਨਕ", "ਦੇਵ", "ਜੀ", "ਦੇ", "550ਵੇਂ", "ਆਗਮਨ", "ਪੁਰਬ", "ਮੌਕੇ", "ਡੇਰਾ", "ਬਾਬਾ", "ਨਾਨਕ", "ਵਾਲੀ", "ਸਰਹੱਦ", "'", "ਤੇ", "ਬੰਦਿਸ਼ਾਂ", "ਹਟਾ", "ਦੇਣੀਆਂ", "ਚਾਹੀਦੀਆਂ", "ਹਨ", "।" ]
[ "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "I-PER", "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਜਿਸ", "ਅਨੁਸਾਰ", "ਭਗਤ", "ਸਿੰਘ", ",", "ਸੁਖਦੇਵ", "ਅਤੇ", "ਰਾਜਗੁਰੂ", "ਨੂੰ", "ਫਾਂਸੀ", "।" ]
[ "O", "O", "B-PER", "I-PER", "O", "B-PER", "O", "B-PER", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਬਲੂਮਬਰਗ", "ਆਪਣੀ", "ਯੋਜਨਾ", "ਦੀ", "ਕੀਮਤ", "ਦੀ", "ਰੂਪ", "ਰੇਖਾ", "ਨਹੀਂ", "ਕਰਦਾ", "." ]
[ "B-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਛੇਵਾਂ", "ਦਰਜਾ", "ਪ੍ਰਜਨੇਸ਼", "ਨੇ", "ਪੁਰਸ਼", "ਸਿੰਗਲਜ਼", "ਦੇ", "ਦੂਜੇ", "ਗੇੜ", "ਵਿਚ", "ਸਪੇਨ", "ਦੇ", "ਐਨਰੀਕੇ", "ਲੋਪੇਜ", "ਪੇਰੇਜ", "ਨੂੰ", "6", "-", "3,6", "-", "3", "ਨਾਲ", "ਹਰਾ", "ਦਿੱਤਾ", "ਹੈ", "।" ]
[ "O", "O", "B-PER", "O", "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "I-PER", "I-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਪੰਜਾਬ", "ਵਿਚ", "ਕੁੱਲ", "84", "ਲਗਜ਼ਰੀ", "ਬੱਸ", "ਪਰਮਿਟਾਂ", "ਵਿੱਚੋਂ", "ਘੱਟੋ", "-", "ਘੱਟ", "52", "ਬਾਦਲੀਆਂ", "ਦੀ", "ਸਰਪ੍ਰਸਤੀ", "ਵਾਲੀਆਂ", "ਟਰਾਂਸਪੋਰਟ", "ਕੰਪਨੀਆਂ", "ਕੋਲ", "ਹਨ", "।" ]
[ "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਆਲ", "ਇੰਡੀਆ", "ਸਿੱਖ", "ਸਟੂਡੈਂਟਸ", "ਫ਼ੈਡਰੇਸ਼ਨ", "ਦੇ", "ਪ੍ਰਧਾਨ", "ਭਾਈ", "ਮਨਜੀਤ", "ਸਿੰਘ", "ਭੋਮਾ", ",", "ਮੁੱਖ", "ਸਲਾਹਕਾਰ", "ਸ", "." ]
[ "B-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "O", "O", "B-PER", "I-PER", "I-PER", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਉਹਨਾਂ", "ਨੇ", "ਇਸ", "ਸਾਰੀ", "ਘਟਨਾ", "ਦੀ", "ਨਿਆਂਇਕ", "ਜਾਂਚ", "ਦੀ", "ਮੰਗ", "ਕੀਤੀ", "ਹੈ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "\"", "ਵੀਡੀਓ", "ਸ਼ੇਅਰ", "ਕਰਦਿਆਂ", "ਅਕਸ਼ੈ", "ਕੁਮਾਰ", "ਨੇ", "ਕੈਪਸ਼ਨ", "'", "ਚ", "ਲਿਖਿਆ", ",", "\"", "\"", "ਸਵੱਛ", "ਭਾਰਤ", "ਬ੍ਰਾਂਡ", "ਦੀ", "ਸਭ", "ਤੋਂ", "ਵੱਡੀ", "ਅੰਬੈਸਡਰ", "ਸੂਰਿਆਵੰਸ਼ੀ", "ਦੇ", "ਸੈੱਟ", "'", "ਤੇ", "।", "\"" ]
[ "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "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.
[ "ਪੰਜਾਬ", "ਸਰਕਾਰ", "ਦੇ", "ਫੈਸਲੇ", "ਅਨੁਸਾਰ", "ਛੱਤਬੀੜ", "ਚਿੜੀਆਘਰ", "ਆਉਣ", "ਵਾਲੇ", "ਸੈਲਾਨੀਆਂ", ",", "ਕਰਮਚਾਰੀਆਂ", "ਅਤੇ", "ਜਾਨਵਰਾਂ", "ਦੀ", "ਸੁਰੱਖਿਆ", "ਨੂੰ", "ਧਿਆਨ", "ਵਿੱਚ", "ਰੱਖਦਿਆਂ", "ਕੋਵਿਡ", "-", "19", "ਸਬੰਧੀ", "ਪ੍ਰੋਟੋਕੋਲਾਂ", "ਨਾਲ", "10/12/2020", "ਨੂੰ", "ਮੁੜ", "ਖੋਲ", "ਦਿੱਤਾ", "ਗਿਆ", "ਹੈ", "।" ]
[ "B-ORG", "O", "O", "O", "O", "B-LOC", "I-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the 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", "ਉਹ", "ਪ੍ਰਧਾਨਮੰਤਰੀ", "ਨਰੇਂਦਰ", "ਮੋਦੀ", "ਅਤੇ", "ਵਿਦੇਸ਼", "ਮੰਤਰੀ", "ਸੁਸ਼ਮਾ", "ਸਵਰਾਜ", "ਨਾਲ", "ਮੁਲਾਕਾਤ", "ਕਰਨਗੇ", "।" ]
[ "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਮਾਨ", "ਨੇ", "ਕਿਹਾ", "ਕਿ", "ਜੇਕਰ", "ਰਾਣਾ", "ਗੁਰਜੀਤ", "ਨੂੰ", "ਬਰਖਾਸਤ", "ਨਾ", "ਕੀਤਾ", "ਗਿਆ", "ਤਾਂ", "ਪੰਜਾਬ", "ਦੀਆਂ", "ਸੜਕਾਂ", "'", "ਤੇ", "ਸਰਕਾਰ", "ਖਿਲਾਫ", "ਧਰਨੇ", "ਲਾਵਾਂਗੇ", "।" ]
[ "B-PER", "O", "O", "O", "O", "B-PER", "I-PER", "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.
[ "ਇੱਕ", "ਗੂੜ੍ਹਾ", "ਸਾਫ਼", "-", "ਦਿੱਖ", "ਥੀਮ" ]
[ "O", "O", "O", "O", "B-ORG", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the 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", "ਮੂਲ", "ਦੇ", "ਕਰਨਦੀਪ", "ਸਿੰਘ", "ਨੂੰ", "ਫੇਸਬੁੱਕ", "'", "ਵਰਕਪਲੇਸ", "'", "ਦਾ", "ਮੁਖੀ", "ਥਾਪਿਆ" ]
[ "O", "O", "O", "B-PER", "I-PER", "O", "B-ORG", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਰਾਜ", "ਸਭਾ", "ਵਿਚ", "ਸੰਬੋਧਨ", "ਕਰਦੇ", "ਹੋਏ", "ਪ੍ਰਧਾਨ", "ਮੰਤਰੀ", "ਨਰਿੰਦਰ", "ਮੋਦੀ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਉਸ", "ਦਾ", "ਪਤੀ", "ਗੁੜਗਾਓਂ", "ਦੀ", "ਇਕ", "ਕੰਪਨੀ", "ਵਿੱਚ", "ਮੁਲਾਜ਼ਮ", "ਹੈ", "।" ]
[ "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਇਸ", "ਧਮਾਕੇ", "ਦੀ", "ਜ਼ਿੰਮੇਵਾਰੀ", "ਤਾਲਿਬਾਨੀ", "ਅੱਤਵਾਦੀ", "ਸਮੂਹ", "ਨੇ", "ਲਈ", "ਹੈ", "।" ]
[ "O", "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਉਨ੍ਹਾਂ", "ਦੀ", "ਨਿਯੁਕਤੀ", "ਬੀਤੇ", "ਹਫਤੇ", "ਰਾਸ਼ਟਰਪਤੀ", "ਪ੍ਰਣਬ", "ਮੁਖਰਜੀ", "ਵੱਲੋਂ", "ਕੀਤੀ", "ਗਈ", "।" ]
[ "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਸਾਇੰਸ", "ਖੋਜ", "ਪੱਤਰਕਾ", "'", "ਚ", "ਪ੍ਰਕਾਸ਼ਿਤ", "ਇਹ", "ਅਧਿਐਨ", "ਵਿਗਿਆਨੀਆਂ", "ਨੂੰ", "ਇਹ", "ਸਮਝਣ", "ਵਿੱਚ", "ਮਦਦ", "ਕਰੇਗਾ", "ਕਿ", "ਧਰਤੀ", "ਕਿਸ", "ਤਰ੍ਹਾਂ", "ਬਣੀ", ",", "ਇਸ", "ਦੀ", "ਮੌਜੂਦਾ", "ਸੰਰਚਨਾ", "ਅਤੇ", "ਅੰਤਰਿਕ", "ਕਰਮ", "ਕੀ", "ਹੈ", "ਅਤੇ", "ਆਵਰਿਤ", "ਚੱਟਾਨਾਂ", "ਵਿੱਚ", "ਕਿੰਨਾ", "ਪਾਣੀ", "ਹੈ", "।" ]
[ "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" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਮੁਲਜ਼ਮ", "ਖਿਲਾਫ਼", "ਧਾਰਾ", "379,411", "ਦੇ", "ਅਧੀਨ", "ਮਾਮਲਾ", "ਦਰਜ", "ਕਰਕੇ", "ਕਾਰਵਾਈ", "ਸ਼ੁਰੂ", "ਕਰ", "ਦਿੱਤੀ", "ਹੈ", "।" ]
[ "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.
[ "ਸ਼ਰਧਾ", "ਨਾਲ", "ਮਨਾਈ", "ਦੁਰਗਾ", "ਅਸ਼ਟਮੀ" ]
[ "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.
[ "ਮੁੱਖ", "ਮੰਤਰੀ", "ਨੇ", "ਕਿਹਾ", "ਕਿ", "ਰਣਜੀਤ", "ਸਿੰਘ", "ਕਮਿਸ਼ਨ", "ਦੀ", "ਸਥਾਪਨਾ", "ਅਪਰੈਲ", "2017", "ਵਿੱਚ", "ਕੀਤੀ", "ਗਈ", "ਸੀ", "ਅਤੇ", "ਇਸ", "ਨੇ", "ਬਰਗਾੜੀ", "ਅਤੇ", "ਬਹਿਬਲ", "ਕਲਾਂ", "ਕਾਂਡ", "ਦੇ", "ਨਾਲ", "ਨਾਲ", "ਗੁਰੂ", "ਗ੍ਰੰਥ", "ਸਾਹਿਬ", "ਅਤੇ", "ਹੋਰ", "ਧਾਰਮਿਕ", "ਗ੍ਰੰਥਾਂ", "ਦੀ", "ਬੇਅਦਬੀ", "ਦੇ", "ਸਾਰੇ", "ਮਾਮਲਿਆਂ", "ਦੀ", "ਡੂੰਘਾਈ", "ਵਿੱਚ", "ਜਾਂਚ", "ਕੀਤੀ", "।" ]
[ "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "I-LOC", "I-LOC", "O", "O", "O", "B-PER", "I-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਹੁਣ", "ਤੱਕ", "25", "ਪ੍ਰਗਤੀ", "ਸੰਵਾਦਾਂ", "ਵਿੱਚ", "10", "ਲੱਖ", "ਕਰੋੜ", "ਰੁਪਏ", "ਦੇ", "ਨਿਵੇਸ਼", "ਵਾਲੇ", "227", "ਪ੍ਰੋਜੈਕਟਾਂ", "ਦੀ", "ਸਮੀਖਿਆ", "ਕੀਤੀ", "ਜਾ", "ਚੁੱਕੀ", "ਹੈ", "।" ]
[ "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਊਰਜਾ", "ਦੇ", "ਸੰਸਾਰ", "ਵਿਚ", "ਕੋਈ", "ਅਸਲ", ",", "ਸਖ਼ਤ", "ਸੀਮਾਵਾਂ", "ਨਹੀਂ", "ਹਨ", ".", "ਇਸੇ", "ਕਰਕੇ", "ਕਿਸੇ", "ਵੀ", "ਜਗ੍ਹਾ", "ਵਿਚ", "ਚੰਗੀ", "ਫੈਂਗ", "ਸ਼ੂਈ", "ਬਹੁਤ", "ਮਹੱਤਵਪੂਰਨ", "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" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਹਰਭਜਨ", "ਨੇ", "ਕਿਹਾ", "ਕਿ", "ਜੇ", "ਤੁਸੀਂ", "ਦੇਖੋਗੇ", "ਤਾਂ", "ਗੁੱਟ", "ਦੇ", "ਸਪਿੰਨਰ", "ਫ਼ਾਇਦੇ", "ਦੀ", "ਸਥਿਤੀ", "ਵਿਚ", "ਹਨ", "ਕਿਉਂਕਿ", "ਗ਼ੁਲਾਬੀ", "ਗੇਂਦ", "ਵਿਚ", "ਸੀਮ", "ਨੂੰ", "ਦੇਖਣਾ", "(", "ਕਾਲੇ", "ਧਾਗੇ", "ਕਾਰਨ", ")", "ਕਾਫੀ", "ਮੁਸ਼ਕਲ", "ਹੁੰਦਾ", "ਹੈ", "।" ]
[ "B-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਰਾਮਬਨ", "ਵਿਚ", "ਮਰਦਾਂ", "ਦੀ", "ਸਾਖਰਤਾ", "90.42", "%", "ਹੈ", "ਜਦਕਿ", "ਔਰਤਾਂ", "ਦੀ", "ਸਾਖਰਤਾ", "ਦਰ", "73.52", "%", "ਹੈ", "।" ]
[ "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.
[ "ਫ਼ਿਲਮ", "ਵਿੱਚ", "ਅਕਸ਼ੈ", "ਕੁਮਾਰ", ",", "ਰਿਤੇਸ਼", "ਦੇਸ਼ਮੁਖ", "ਅਤੇ", "ਅਭਿਸ਼ੇਕ", "ਬੱਚਨ", "ਮੁੱਖ", "ਨਾਇਕ", "ਹਨ", "।" ]
[ "O", "O", "B-PER", "I-PER", "O", "B-PER", "I-PER", "O", "B-PER", "I-PER", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "7", "ਕਿਲੋਮੀਟਰ", "ਲੰਬਾ", "ਲਾਂਘਾ", "ਗੁਰਦਾਸਪੁਰ", "ਸਥਿਤ", "ਡੇਰਾ", "ਬਾਬਾ", "ਨਾਨਕ", "ਤੇ", "ਪਾਕਿਸਤਾਨ", "ਦੇ", "ਕਰਤਾਰਪੁਰ", "ਸਥਿਤ", "ਗੁਰਦੁਆਰਾ", "ਦਰਬਾਰ", "ਸਾਹਿਬ", "ਨੂੰ", "ਜੋੜਦਾ", "ਹੈ", "।" ]
[ "O", "O", "O", "O", "B-LOC", "O", "B-LOC", "I-LOC", "O", "O", "B-LOC", "O", "B-LOC", "I-LOC", "I-LOC", "I-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.
[ "ਸਤਪ੍ਰੀਤ", "ਕੌਰ", ",", "ਡਾ", "." ]
[ "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.
[ "ਅਧਿਕਾਰੀ", "ਨੇ", "ਦੱਸਿਆ", "ਕਿ", "ਅਣਪਛਾਤੇ", "ਲੋਕਾਂ", "ਨੇ", "ਬੰਬ", "ਸੁੱਟਿਆ", "ਅਤੇ", "ਗੋਲੀਆਂ", "ਚਲਾਈਆਂ", ",", "ਜਿਸ", "ਵਿੱਚ", "ਦਾਰਜੀਲਿੰਗ", "ਲੋਕ", "ਸਭਾ", "ਖੇਤਰ", "ਦੇ", "ਚੋਪਰਾ", "ਇਲਾਕੇ", "ਵਿੱਚ", "ਇੱਕ", "ਵਿਦਿਆਰਥੀ", "ਜ਼ਖ਼ਮੀ", "ਹੋ", "ਗਿਆ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "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.
[ "ਇਲਾਹਾਬਾਦ", "ਤੋਂ", "ਨਿਕਲਦੇ", "'", "ਸਵਰਾਜ", "'", "ਅਖ਼ਬਾਰ", "ਨੇ", "ਲੜਾਈ", "ਨਹੀਂ", "ਛੱਡੀ", "ਸੀ", "।" ]
[ "B-LOC", "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.
[ "ਗਡਕਰੀ", "ਨੇ", "ਅਮਰੀਕੀ", "ਆਵਾਜਾਈ", "ਸਕੱਤਰ", "ਐਂਥਨੀ", "ਫਾਕਸ", "ਨਾਲ", "ਮੁਲਾਕਾਤ", "ਅਤੇ", "ਅਮਰੀਕੀ", "ਕਾਰੋਬਾਰੀ", "ਸਮੁਾਇਦ", "ਸਮੇਤ", "ਦਿਨ", "ਭਰ", "ਚਲੀਆਂ", "ਹੋਰ", "ਬੈਠਕਾਂ", "ਤੋਂ", "ਬਾਅਦ", "ਭਾਰਤੀ", "ਪੱਤਰਕਾਰਾਂ", "ਨੂੰ", "ਸੰਬੋਧਨ", "ਕਰਦੇ", "ਹੋਏ", "ਕਿਹਾ", ",", "'", "ਸੜਕ", "ਸੁਰੱਖਿਆ", "ਸਾਡੀ", "ਸਰਕਾਰ", "ਦੀ", "ਉੱਚ", "ਤਰਜੀਹ", "ਹੈ", "।" ]
[ "B-PER", "O", "B-LOC", "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" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਨਿਊਯਾਰਕਃ", "ਪ੍ਰਧਾਨ", "ਮੰਤਰੀ", "ਨਰਿੰਦਰ", "ਮੋਦੀ", "ਨੂੰ", "ਸਵੱਛ", "ਭਾਰਤ", "ਮੁਹਿੰਮ", "ਲਈ", "ਬਿੱਲ", "ਤੇ", "ਮੇਲਿੰਡਾ", "ਗੇਟਸ", "ਫਾਊਂਡੇਸ਼ਨ", "ਵੱਲੋਂ", "'", "ਗਲੋਬਲ", "ਗੋਲਕੀਪਰ", "ਅਵਾਰਡ", "'", "ਅਵਾਰਡ", "ਮਿਲਿਆ", "ਹੈ", "।" ]
[ "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-LOC", "I-LOC", "I-LOC", "I-LOC", "I-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.
[ "ਅਦਾਲਤ", "ਨੇ", "ਮੰਨਿਆ", "ਕਿ", "ਤਾਹਿਰ", "ਮਰਚੈਂਟ", "ਮੁੱਖ", "ਸਾਜ਼ਿਸ਼ਘਾੜਿਆਂ", "ਵਿੱਚੋਂ", "ਸੀ", "।" ]
[ "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.
[ "ਇਹਨਾਂ", "ਚੋਂ", "ਇੱਕ", "ਅਧਿਐਨ", "ਵਿੱਚ", "ਇਹ", "ਵੀ", "ਪਾਇਆ", "ਗਿਆ", "ਕਿ", "ਉੱਤਰੀ", "ਚੀਨ", "ਚ", "2.5", "ਮਾਈਕਰੋਨ", "ਤੋਂ", "ਘੱਟ", "ਅਕਾਰ", "ਵਾਲੇ", "ਕਣਾਂ", "ਵਿੱਚ", "35", "ਪ੍ਰਤੀਸ਼ਤ", "ਤੱਕ", "ਕਮੀ", "ਆਈ", "ਹੈ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਕ੍ਰੋਧ", "ਦੇ", "ਮਾੜੇ", "ਅਸਰਾਂ", "ਬਾਰੇ", "ਆਪਣੇ", "ਚੇਲਿਆਂ", "ਨੂੰ", "ਚੇਤਾਵਨੀ", "ਦੇਣ", "ਤੋਂ", "ਬਾਅਦ", "ਯਿਸੂ", "ਨੇ", "ਕਿਹੜੀ", "ਸਲਾਹ", "ਦਿੱਤੀ", "?" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਉਸ", "ਨੇ", "ਬੜੇ", "ਜੋਰ", "ਨਾਲ", "ਨਾਲਦੇ", "ਮਾਰਕਸਵਾਦੀ", "ਕ੍ਰਿਸਟੋਫਰ", "ਕੌਡਵਿਲ", "ਦੇ", "ਸੁਹਜ", "ਸਿਧਾਂਤਾਂ", "ਦਾ", "ਵਿਰੋਧ", "ਕੀਤਾ", "।" ]
[ "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਇਮਰਾਨ", "ਨੇ", "ਕਸ਼ਮੀਰ", "ਮੁੱਦੇ", "ਦੇ", "ਹੱਲ", "ਲਈ", "ਸੱਦਾ", "ਦਿੱਤਾ" ]
[ "B-PER", "O", "B-LOC", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਸਪੀਕਰ", "ਓਮ", "ਬਿਰਲਾ", "ਨੇ", "ਕਿਹਾ", "ਕਿ", "ਸੋਸ਼ਲ", "ਮੀਡੀਆ", "ਨਾਲ", "ਜੁੜੇ", "ਮਸਲਿਆਂ", "'", "ਤੇ", "ਗੰਭੀਰ", "ਚਰਚਾ", "ਹੋਣੀ", "ਚਾਹੀਦੀ", "ਹੈ", "।" ]
[ "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਅਦਿਤਿਆ", "ਸ਼ਰਮਾ" ]
[ "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.
[ "ਚੀਨ", "ਨੇ", "ਅਜਿਹਾ", "ਅੜੀਅਲ", "ਹਮਲਾਵਰ", "ਰਵੱਈਆ", "ਦੱਖਣੀ", "ਕੋਰੀਆ", ",", "ਜਪਾਨ", ",", "ਤਾਈਵਾਨ", ",", "ਵੀਅਤਨਾਮ", ",", "ਫਿਲਪੀਨਜ਼", ",", "ਮਲੇਸ਼ੀਆ", ",", "ਬਰੂਨਈ", "ਅਤੇ", "ਇੰਡੋਨੇਸ਼ੀਆ", "ਨਾਲ", "ਲੱਗਦੀਆਂ", "ਆਪਣੀਆਂ", "ਸਮੁੰਦਰੀ", "ਸਰਹੱਦਾਂ", "ਬਾਰੇ", "ਅਪਣਾਇਆ", "ਹੈ", "।" ]
[ "B-LOC", "O", "O", "O", "O", "O", "B-LOC", "I-LOC", "O", "B-LOC", "O", "B-LOC", "O", "B-LOC", "O", "B-LOC", "O", "B-LOC", "O", "B-LOC", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਬਾਕਸ", "ਆਫ਼ਿਸ", "'", "ਤੇ", "ਫ਼ਿਲਮ", "ਚੰਗੀ", "ਸਾਬਤ", "ਹੋਈ", "।" ]
[ "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.
[ "ਗਲੋਬਲ", "ਵਾਰਮਿੰਗ", "-", "ਕੀ", "ਧਰਤੀ", "ਖ਼ਤਰੇ", "ਵਿਚ", "ਹੈ", "?" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਰਾਜਸਥਾਨ", "ਨੇ", "ਟਾਸ", "ਜਿੱਤ", "ਕੇ", "ਪਹਿਲਾਂ", "ਗੇਂਦਬਾਜ਼ੀ", "ਕਰਨ", "ਦਾ", "ਫੈਸਲਾ", "ਕੀਤਾ", "ਸੀ", "।" ]
[ "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਪੌਲੁਸ", "ਨੇ", "ਕਿਹਾ", "ਕਿ", "ਪਿਆਰ", "ਤੋਂ", "ਬਿਨਾਂ", "ਉਹ", "\"", "ਕੁਝ", "ਵੀ", "ਨਹੀਂ", "।", "\"" ]
[ "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.
[ "ਮੰਡੀ", "ਗੋਬਿੰਦਗੜ੍ਹ", ",", "28", "ਫਰਵਰੀ" ]
[ "B-LOC", "I-LOC", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਰਿਤਿਕ", "ਰੌਸ਼ਨ", "ਤੇ", "ਯਾਮੀ", "ਗੌਤਮ", "ਨੇ", "ਫ਼ਿਲਮ", "ਵਿੱਚ", "ਇੱਕ", "ਅੰਨ੍ਹੇ", "ਪ੍ਰੇਮੀ", "ਦੀ", "ਭੂਮਿਕਾ", "ਨਿਭਾਈ", "ਸੀ", "।" ]
[ "O", "B-PER", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਪੰਜਾਬ", "ਗੁਰੂਆਂ", "ਅਤੇ", "ਪੀਰ", "ਪੈਗੰਬਰਾਂ", "ਦੀ", "ਪਵਿੱਤਰ", "ਧਰਤੀ", "ਹੈ", "।" ]
[ "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.
[ "ਡਿਜੀਟਲ", "ਪਤਾ", "ਕਰਨ", "ਯੋਗ", "ਕੇਬਲ", "ਟੀਵੀ", "ਸਿਸਟਮ" ]
[ "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਸੁਪਰੀਮ", "ਕੋਰਟ", "ਨੇ", "ਕਿਹਾ", "ਕਿ", "ਹਿੰਦੂਆਂ", "ਨੇ", "ਆਪਣਾ", "ਕੇਸ", "ਸਥਾਪਤ", "ਕਰ", "ਲਿਆ", "ਹੈ", "ਕਿ", "ਉਨ੍ਹਾਂ", "ਦਾ", "ਬਾਹਰਲਾ", "ਵਿਹੜਾ", "ਸੀ", "ਅਤੇ", "ਯੂ", "ਪੀ", "ਸੁੰਨੀ", "ਕੇਂਦਰੀ", "ਵਕਫ਼", "ਬੋਰਡ", "ਅਯੁੱਧਿਆ", "ਵਿਵਾਦ", "ਵਿੱਚ", "ਆਪਣਾ", "ਕੇਸ", "ਸਥਾਪਤ", "ਕਰਨ", "ਵਿੱਚ", "ਅਸਫਲ", "ਰਿਹਾ", "ਹੈ", "।" ]
[ "B-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "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.
[ "ਪ੍ਰਧਾਨ", "ਮੰਤਰੀ", "ਨੇ", "ਕਈ", "ਰਾਜਾਂ", "ਜਿਨ੍ਹਾਂ", "ਵਿੱਚ", "ਉੱਤਰਾਖੰਡ", ",", "ਉਡੀਸ਼ਾ", ",", "ਪੱਛਮੀ", "ਬੰਗਾਲ", ",", "ਕਰਨਾਟਕ", ",", "ਤਮਿਲ", "ਨਾਡੂ", ",", "ਕੇਰਲ", ",", "ਨਾਗਾਲੈਂਡ", ",", "ਅਸਾਮ", ",", "ਮਹਾਰਾਸ਼ਟਰ", ",", "ਤੇਲੰਗਾਨਾ", "ਅਤੇ", "ਆਂਧਰ", "ਪ੍ਰਦੇਸ਼", "ਸ਼ਾਮਲ", "ਹਨ", ",", "ਵਿੱਚ", "ਫੈਲੇ", "ਰੇਲਵੇ", ",", "ਸੜਕ", ",", "ਬਿਜਲੀ", "ਅਤੇ", "ਅਖੁੱਟ", "ਊਰਜਾ", "ਖੇਤਰਾਂ", "ਦੇ", "ਨੌਂ", "ਬੁਨਿਆਦੀ", "ਢਾਂਚਾ", "ਪ੍ਰੋਜੈਕਟਾਂ", "ਦੀ", "ਪ੍ਰਗਤੀ", "ਦਾ", "ਜਾਇਜ਼ਾ", "ਲਿਆ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "B-LOC", "O", "B-LOC", "O", "B-LOC", "I-LOC", "O", "B-LOC", "O", "B-LOC", "O", "O", "O", "O", "B-LOC", "O", "B-LOC", "O", "B-LOC", "O", "B-LOC", "O", "B-LOC", "I-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the 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", "ਸੰਦਰਭ", "'", "ਚ", "ਉਨ੍ਹਾਂ", "ਨੇ", "ਨਾਮਵਰ", "ਅਥਲੀਟ", "ਹੀਮਾ", "ਦਾਸ", "ਦਾ", "ਜ਼ਿਕਰ", "ਕੀਤਾ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਪਿਛਲੇ", "ਕੁਝ", "ਹਫਤੇ", "ਤੋਂ", "ਇਸ", "ਮੁੱਦੇ", "'", "ਤੇ", "ਪ੍ਰਤੀਕਿਰਿਆ", "ਜਾਣਨ", "ਲਈ", "ਗਬਾਰਡ", "ਆਪਣੀ", "ਪਾਰਟੀ", "ਦੇ", "ਆਗੂਆਂ", "ਨਾਲ", "ਗੱਲ", "ਕਰ", "ਰਹੀ", "ਹੈ", "ਅਤੇ", "ਭਾਰਤੀ", "ਮੂਲ", "ਦੇ", "ਅਮਰੀਕੀ", "ਲੋਕਾਂ", "ਨਾਲ", "ਸੰਪਰਕ", "ਕਰ", "ਰਹੀ", "ਹੈ", "।" ]
[ "O", "O", "O", "O", "O", "O", "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", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਪ੍ਰਧਾਨ", "ਮੰਤਰੀ", "ਨੇ", "ਜ਼ੋਰ", "ਦਿੰਦਿਆਂ", "ਕਿਹਾ", "ਕਿ", "ਸਮੁੱਚੇ", "ਦੇਸ਼", "ਦੇ", "ਟਿਕਾਊ", "ਵਿਕਾਸ", "ਲਈ", "ਭਾਰਤ", "ਦੇ", "ਪੂਰਬੀ", "ਸੂਬਿਆਂ", "ਦਾ", "ਵਿਕਾਸ", "ਲਾਜ਼ਮੀ", "ਸੀ", "।" ]
[ "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.
[ "ਇਸ", "ਪੱਤਰ", "'", "ਤੇ", "ਹਰਪ੍ਰੀਤ", "ਸਿੰਘ", "ਦੇ", "ਪਿੰਡ", "ਗੁਮਤੀ", "ਕਲਾਂ", "ਦੇ", "ਲੋਕਾਂ", "ਅਤੇ", "ਪੰਚਾਇਤ", "ਦੇ", "ਮੈਂਬਰਾਂ", "ਦੇ", "ਵੀ", "ਹਸਤਾਖਰ", "ਹਨ", "।" ]
[ "O", "O", "O", "O", "B-PER", "O", "O", "O", "B-LOC", "I-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.
[ "ਕਲੰਕ", "ਗਾਣੇ", "ਦੇ", "ਬੋਲ", "ਅਮਿਤਾਭ", "ਭੱਟਾਚਾਰੀਆ", "ਨੇ", "ਕਲਮਬੰਧ", "ਕੀਤੇ", "ਹਨ", "ਅਤੇ", "ਮਿਊਜ਼ਿਕ", "ਫੇਮਸ", "ਮਿਊਜ਼ਿਕ", "ਡਾਇਰੈਕਟਰ", "ਪ੍ਰੀਤਮ", "ਨੇ", "ਦਿੱਤਾ", "ਹੈ", "।" ]
[ "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਦੱਸਣਯੋਗ", "ਹੈ", "ਕਿ", "ਸੀਡੀ", "ਵਾਇਰਲ", "ਮਾਮਲੇ", "ਤੋਂ", "ਬਾਅਦ", "ਚਰਨਜੀਤ", "ਸਿੰਘ", "ਚੱਢਾ", "ਦੇ", "ਪੁੱਤ", "ਇੰਦਰਪ੍ਰੀਤ", "ਸਿੰਘ", "ਚੱਢਾ", "ਨੇ", "ਖ਼ੁਦਕੁਸ਼ੀ", "ਕਰ", "ਲਈ", "ਸੀ", "।" ]
[ "O", "O", "O", "B-PER", "I-PER", "I-PER", "I-PER", "I-PER", "I-PER", "I-PER", "I-PER", "I-PER", "I-PER", "I-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਇਸ", "ਹਾਦਸੇ", "ਵਿੱਚ", "ਮਾਰੇ", "ਗਏ", "ਖਿਡਾਰੀਆਂ", "ਦੀ", "ਪਹਿਚਾਣ", "ਸ਼ਾਹਨਵਾਜ਼", "ਖ਼ਾਨ", ",", "ਆਦਰਸ਼", "ਹਰਦੁਆ", ",", "ਆਸ਼ੀਸ਼", "ਲਾਲ", "ਤੇ", "ਅਨਿਕੇਤ", "ਦੇ", "ਰੂਪ", "ਵਿੱਚ", "ਹੋਈ", "ਹੈ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "B-PER", "I-PER", "O", "B-PER", "I-PER", "O", "B-PER", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਇਸਲਾਮਾਬਾਦ", "ਸਥਿਤ", "ਭਾਰਤੀ", "ਰਾਜਦੂਤ", "ਨੂੰ", "ਰਾਵਲਪਿੰਡ", "ਨੇੜੇ", "ਹਸਨ", "ਅਬਦਾਲ", "ਸਥਿਤ", "ਗੁਰਦੁਆਰਾ", "ਪੰਜਾ", "ਸਾਹਿਬ", "ਵਿੱਚ", "ਮੌਜੂਦ", "ਭਾਰਤੀ", "ਸਿੱਖ", "ਸ਼ਰਧਾਲੂਆਂ", "ਨੂੰ", "ਮਿਲਣ", "ਨਾ", "ਜਾਣ", "ਦਾ", "ਸ਼੍ਰੋਮਣੀ", "ਗੁਰਦੁਆਰਾ", "ਪ੍ਰਬੰਧਕ", "ਕਮੇਟੀ", "ਨੇ", "ਗੰਭੀਰ", "ਨੋਟਿਸ", "ਲਿਆ", "ਹੈ", "ਤੇ", "ਇਸ", "ਘਟਨਾ", "ਦੀ", "." ]
[ "B-LOC", "O", "O", "O", "O", "O", "O", "B-LOC", "I-LOC", "O", "B-LOC", "I-LOC", "I-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the 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", "ਮੁੱਖ", "ਭੂਮਿਕਾ", "'", "ਚ", "ਕਰੀਨਾ", "ਕਪੂਰ", ",", "ਸੋਨਮ", "ਕਪੂਰ", ",", "ਸਵਰਾ", "ਭਾਸਕਰ", "ਤੇ", "ਸ਼ਿਖਾ", "ਤਲਸਾਨੀਆ", "ਹੈ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "B-PER", "I-PER", "O", "B-PER", "I-PER", "O", "B-PER", "I-PER", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਕ੍ਰਮਬੱਧ", "ਆਈਟਮਾਂ", "ਲਈ", "ਪਿੱਛੇ", "ਅੰਤਰ", "ਸੈਟ", "ਕਰਦਾ", "ਹੈ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਸਥਾਈ", "ਕਮੇਟੀ", "ਦੇ", "ਮੈਂਬਰ", "ਹਰੀਬੋਲ", "ਗਜੂਰੇਲ", "ਦੇ", "ਅਨੁਸਾਰ", ",", "ਓਲੀ", "ਅਤੇ", "ਦਹਿਲ", "ਦੋਵਾਂ", "ਦੀਆਂ", "ਬੰਦੂਕਾਂ", "ਨਾਲ", "ਜੁੜੇ", "ਹੋਏ", "ਰੁਕਾਵਟ", "ਜਾਰੀ", "ਹੈ", "." ]
[ "B-ORG", "I-ORG", "O", "O", "B-PER", "I-PER", "O", "O", "O", "B-PER", "O", "B-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਓਮ", "ਪੁਰੀ", "ਨੇ", "ਫਿਲਮ", "ਵਿੱਚ", "ਹੁਮਾ", "ਦੇ", "ਪਿਤਾ", "ਦਾ", "ਕਿਰਦਾਰ", "ਨਿਭਾਇਆ", "।" ]
[ "B-PER", "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.
[ "'", "ਇੰਟੈਗ੍ਰੇਟਿਡ", "ਗੁੱਡਜ਼", "ਤੇ", "ਸਰਵਿਸਿਜ਼", "ਟੈਕਸ", "'", "(", "ਆਈਜੀਐਸਟੀ", ")", "ਅਤੇ", "'", "ਕੇਂਦਰੀ", "ਗੁੱਡਜ਼", "ਤੇ", "ਸਰਵਿਸਜ਼", "ਟੈਕਸ", "'", "(", "ਸੀਜੀਐਸਟੀ", ")", "ਦੀ", "ਮਾਮੂਲੀ", "ਜਿਹੀ", "ਉਗਰਾਹੀ", "ਕਾਰਨ", "ਨਾ", "ਸਿਰਫ਼", "ਸਰਕਾਰ", "ਨੂੰ", "ਝਟਕਾ", "ਲੱਗਿਆ", "ਹੈ", ",", "ਸਗੋਂ", "ਇਸ", "ਨਾਲ", "ਸਨਅਤ", "ਨੂੰ", "ਵੀ", "ਤਕੜੀ", "ਸੱਟ", "ਵੱਜੀ", "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", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਜਿਸ", "ਦੀ", "ਅਰੰਭਤਾ", "ਅੰਮ੍ਰਿਤ", "ਵੇਲੇ", "ਸ੍ਰੀ", "ਸੁਖਮਨੀ", "ਸਾਹਿਬ", "ਅਤੇ", "ਨਿਤਨੇਮ", "ਦੇ", "ਪਾਠ", "ਨਾਲ", "ਹੋਈ", "।" ]
[ "O", "O", "O", "O", "O", "B-PER", "I-PER", "I-PER", "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.
[ "ਇਹ", "ਐਵਾਰਡ", "ਸਰਕਾਰੀ", "ਸਕੂਲਾਂ", "ਵਿਚ", "ਪੜ੍ਹਦੇ", "ਅਤੇ", "ਆਰਥਿਕ", "ਤੌਰ", "'", "ਤੇ", "ਕਮਜ਼ੋਰ", "ਪਰਿਵਾਰਾਂ", "ਦੇ", "ਬੱਚਿਆਂ", "ਨੂੰ", "ਪੰਜਾਬ", "ਸਕੂਲ", "ਸਿੱਖਿਆ", "ਬੋਰਡ", "ਦੀ", "ਮੈਰਿਟ", "ਸੂਚੀ", "ਦੇ", "ਅਧਾਰ", "'", "ਤੇ", "ਦਿੱਤੇ", "ਗਏ", "ਹਨ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the 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", "ਮਾਂ", "ਈਰਾਨ", "ਦੇ", "ਸਫਾਵਿਦ", "ਵੰਸ਼", "ਦੀ", "ਪ੍ਰਮੁੱਖ", "ਰਾਜਕੁਮਾਰੀ", "ਸੀ", "ਅਤੇ", "ਉਹ", "ਮਿਰਜ਼ਾ", "ਬਾਦੀ", "-", "ਉਜ਼", "-", "ਜ਼ਾਮਾਨ", "ਸਫਾਫ਼ੀ", ",", "ਗੁਜਰਾਤ", "ਦਾ", "ਵਾਇਸਰਾਏ", ",", "ਦੀ", "ਧੀ", "ਸੀ", "।" ]
[ "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਇਨ੍ਹਾਂ", "ਸ਼ਬਦਾਂ", "ਦਾ", "ਪ੍ਰਗਟਾਵਾ", "ਲੋਕ", "ਸਭਾ", "ਹਲਕਾ", "ਲੁਧਿਆਣਾ", "ਤੋਂ", "ਕਾਂਗਰਸ", "ਦੇ", "ਉਮੀਦਵਾਰ", "ਰਵਨੀਤ", "ਸਿੰਘ", "ਬਿੱਟੂ", "ਨੇ", "ਕੀਤਾ", "।" ]
[ "O", "O", "O", "O", "B-LOC", "I-LOC", "I-LOC", "I-LOC", "O", "B-ORG", "O", "O", "B-PER", "I-PER", "I-PER", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਉਂਜ", ",", "ਖ਼ੁਸ਼ੀ", "ਸੋਸ਼ਲ", "ਮੀਡੀਆ", "'", "ਤੇ", "ਕਾਫ਼ੀ", "ਸਰਗਰਮ", "ਹੈ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]