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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.
[ "'", "ਸੱਤਾਧਿਰ", "ਗਠਜੋੜ", "ਦੇ", "13", "ਵਿਧਾਇਕਾਂ", "ਦੇ", "ਅਸਤੀਫ਼ਿਆਂ", "ਬਾਅਦ", "ਕਰਨਾਟਕ", "ਵਿਚ", "ਸੰਕਟ", "ਪੈਦਾ", "ਹੋ", "ਗਿਆ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਸਰਕਾਰੀ", "ਸੂਰ", "ਬੀਡਿੰਗ", "ਫਾਰਮ", ",", "ਨਾਭਾ", "ਦਾ", "ਨਵੀਨੀਕਰਨ", "ਅਤੇ", "ਮਜ਼ਬੂਤੀਕਰਨ", "ਕੀਤਾ", "ਗਿਆ", "ਹੈ", "।" ]
[ "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.
[ "ਇਸੇ", "ਤਰ੍ਹਾਂ", ",", "ਅੱਜ", "ਯਹੋਵਾਹ", "ਦੇ", "ਗਵਾਹ", "ਨਾ", "ਕੇਵਲ", "ਈਸਾਈ", "ਕਹਿਲਾਉਣ", "ਵਾਲਿਆਂ", "ਨੂੰ", ",", "ਪਰ", "ਸਾਰਿਆਂ", "ਲੋਕਾਂ", "ਨੂੰ", ",", "ਇੱਥੋਂ", "ਤਕ", "ਕਿ", "\"", "ਧਰਤੀ", "ਦੇ", "ਬੰਨੇ", "ਤੀਕੁਰ", "\"", "ਵੀ", "ਪ੍ਰਚਾਰ", "ਕਰਨ", "ਵਿਚ", "ਸਖ਼ਤ", "ਮਿਹਨਤ", "ਕਰਦੇ", "ਹਨ", "।", "-", "ਰਸੂਲਾਂ", "ਦੇ", "ਕਰਤੱਬ", "1:8.18:5", "." ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "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.
[ "ਮੁੱਖ", "ਮੰਤਰੀ", "ਨੂੰ", "ਸ੍ਰੀ", "ਦਰਬਾਰ", "ਸਾਹਿਬ", "ਡੇਰਾ", "ਬਾਬਾ", "ਨਾਨਕ", "ਦੇ", "ਮੈਨੇਜਰ", "ਹਰਵਿੰਦਰ", "ਸਿੰਘ", ",", "ਸ੍ਰੋਮਣੀ", "ਗੁਰਦੁਆਰਾ", "ਪ੍ਰਬੰਧਕ", "ਕਮੇਟੀ", "ਦੀ", "ਕਾਰਜਕਾਰੀ", "ਕਮੇਟੀ", "ਦੇ", "ਮੈਂਬਰ", "ਅਮਰੀਕ", "ਸਿੰਘ", "ਸਾਹਪੁਰ", "ਅਤੇ", "ਐਸ", ".", "ਜੀ", ".", "ਪੀ", ".", "ਸੀ", ".", "ਮੈਂਬਰ", "ਜੋਗਿੰਦਰ", "ਕੌਰ", "ਵੱਲੋਂ", "ਸਿਰੋਪਾਓ", "ਬਖਸਸਿ", "ਕੀਤਾ", "ਗਿਆ", "।" ]
[ "O", "O", "O", "O", "B-PER", "I-PER", "I-PER", "I-PER", "I-PER", "I-PER", "I-PER", "I-PER", "I-PER", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "O", "B-PER", "I-PER", "I-PER", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "B-PER", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਪ੍ਰਧਾਨ", "ਮੰਤਰੀ", "ਸ੍ਰੀ", "ਨਰਿੰਦਰ", "ਮੋਦੀ", "ਵੱਲੋਂ", "ਨਿਯੁਕਤ", "ਅਤੇ", "ਰਾਸ਼ਟਰੀ", "ਸੁਰੱਖਿਆ", "ਸਲਾਹਕਾਰ", "ਅਜੀਤ", "ਡੋਵਾਲ", "ਦੀ", "ਪ੍ਰਧਾਨਗੀ", "ਹੇਠ", "ਫ਼ੈਸਲੇ", "ਲਾਗੂ", "ਕਰਨ", "ਵਾਲੀ", "ਕਮੇਟੀ", "ਨ", "ਹਾਲੇ", "CDS", "ਲਈ", "ਚਾਰਟਰ", "ਪਰਿਭਾਸ਼ਿਤ", "ਕਰਨਾ", "ਹੈ", "।" ]
[ "O", "O", "O", "O", "B-PER", "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਭਾਰਤ", "ਦੀ", "ਮਾਨਯੋਗ", "ਸੁਪਰੀਮ", "ਕੋਰਟ" ]
[ "B-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਇਸ", "ਬੱਚੇ", "ਦੀ", "ਸ਼ਨਾਖਤ", "ਹਰਮਨ", "ਸਿੰਘ", "(", "4", ")", "ਵਾਸੀ", "ਬਾਬਾ", "ਦਰਸ਼ਨ", "ਸਿੰਘ", "ਕਲੋਨੀ", "ਵਜੋਂ", "ਹੋਈ", "ਹੈ", "।" ]
[ "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "B-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.
[ "ਸੇਕਰਡ", "ਹਾਰਟ", "ਸਕੂਲ", "ਦੀ", "ਵਿਦਿਆਰਥਣ", "ਤੇਸ਼ਾਲੀ", "ਮਿੱਤਲ", "ਿਜਸ", "ਨੇ", "ਨਾਨ", "-", "ਮੈਡੀਕਲ", "ਵਿੱਚ", "96.55", "%", "ਅੰਕ", "ਪ੍ਰਾਪਤ", "ਕੀਤੇ", "।" ]
[ "B-ORG", "I-ORG", "O", "O", "O", "B-PER", "I-PER", "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", "ਜਿਲ੍ਹੇ", "ਦਾ", "ਹੈਡਕੁਆਰਟਰ", "ਹੈ", "ਨਿਜਾਮਾਬਾਦ", "।" ]
[ "O", "O", "O", "O", "O", "B-LOC", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਪਾਕਿਸਤਾਨ", "ਦੇ", "ਵਿਦੇਸ਼", "ਮੰਤਰੀ", "ਨੇ", "ਇਸ", "ਗੱਲ", "ਨੂੰ", "ਮੰਨਿਆ", "ਹੈ", "ਕਿ", "ਅੱਤਵਾਦੀ", "ਸੰਗਠਨ", "ਜੈਸ਼", "ਏ", "ਮੁਹੰਮਦ", "ਦੇ", "ਸਰਗਨਾ", "ਮਸੂਦ", "ਅਜਹਰ", "ਪਾਕਿਸਤਾਨ", "ਵਿਚ", "ਹੈ", "।" ]
[ "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "I-ORG", "O", "O", "B-PER", "O", "B-LOC", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਉਨ•ਾਂ", "ਕਿਹਾ", "ਕਿ", "ਕਰਫਿਊ", "ਅਤੇ", "ਲਾਕਡਾਊਨ", "ਦੇ", "ਇਸ", "ਸਮੇਂ", "ਦੌਰਾਨ", ",", "ਸਰਕਾਰ", "ਨੇ", "ਨਸ਼ਿਆਂ", "ਦੀ", "ਆਦਤ", "ਤੋਂ", "ਪੀੜਤ", "ਮਰੀਜ਼ਾਂ", "ਦੇ", "ਇਲਾਜ", "ਅਤੇ", "ਦੇਖਭਾਲ", "ਲਈ", "ਵਿਸ਼ੇਸ਼", "ਪਹਿਲਕਦਮੀਆਂ", "ਕੀਤੀਆਂ", "ਹਨ", "ਤਾਂ", "ਜੋ", "ਵੱਧ", "ਤੋਂ", "ਵੱਧ", "ਨੋਜੁਆਨ", "ਨਸ਼ਿਆਂ", "ਦੀ", "ਆਦਤ", "ਤੋਂ", "ਛੁੱਟਕਾਰਾ", "ਪਾ", "ਸਕਣ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "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.
[ "ਲਾਇਨਜ਼", "ਕਲੱਬ", "ਵਲੋਂ", "ਅੱਖਾਂ", "ਦਾ", "ਮੁਫ਼ਤ", "ਜਾਂਚ", "ਕੈਂਪ" ]
[ "B-ORG", "I-ORG", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "Kamal", "Naths", "Nephew", "Ratul", "Puri", "Arrested", "by", "Enforcement", "Directorate", ":", "ਮੱਧ", "ਪ੍ਰਦੇਸ਼", "ਦੇ", "ਮੁੱਖ", "ਮੰਤਰੀ", "ਕਮਲਨਾਥ", "ਦੇ", "ਭਾਣਜੇ", "ਤੇ", "ਮੋਜ਼ਰ", "ਬੇਅਰ", "ਕੰਪਨੀ", "ਦੇ", "ਸਾਬਕਾ", "ਕਾਰਜਕਾਰੀ", "ਡਾਇਰੈਕਟਰ", "ਰਤੁਲ", "ਪੁਰੀ", "ਨੂੰ", "ਇਨਫੋਰਸਮੈਂਟ", "ਡਾਇਰੈਕਟੋਰੇਟ", "(", "ਈਡੀ", ")", "ਨੇ", "ਗ੍ਰਿਫ਼ਤਾਰ", "ਕਰ", "ਲਿਆ", "ਹੈ", "।" ]
[ "B-PER", "I-PER", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "O", "B-LOC", "I-LOC", "O", "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "B-PER", "I-PER", "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.
[ "ਤਰੈਵਨਕੋਰ", "ਦੇਵਸਵੋਮ", "ਬੋਰਡ", "ਅਧੀਨ", "ਸ਼ਰਧਾਲੂਆਂ", "ਦੇ", "ਮੰਦਰਾਂ", "ਦੇ", "ਦਰਸ਼ਨਾਂ", "'", "ਤੇ", "ਲਗਾਈ", "ਗਈ", "ਪਾਬੰਦੀ", "30", "ਜੂਨ", "ਤੋਂ", "ਬਾਅਦ", "ਵੀ", "ਜਾਰੀ", "ਰਹੇਗੀ", "।" ]
[ "B-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਆਪਣੇ", "ਦੌਰੇ", "ਦੇ", "ਅੰਤਿਮ", "ਪੜਾਅ", "'", "ਤੇ", "ਓਬਾਮਾ", "ਤੇ", "ਮਿਸ਼ੇਲ", "ਕੋਲ", "ਰਾਸ਼ਟਰਪਤੀ", "ਦੀ", "ਦਾਅਵਤ", "ਦੇ", "ਮੌਕੇ", "ਵਾਂਗ", "ਸੰਤੁਸ਼ਟ", "ਤੇ", "ਖੁਸ਼", "ਦਿੱਸਣ", "ਲਈ", "ਕਾਰਨ", "ਸਨ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "B-PER", "O", "B-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਰੀਓ", "ਓਲੰਪਿਕ", "ਦੇ", "ਕੁਆਟਰ", "ਫਾਈਨਲ", "'", "ਚ", "ਥਾਂ", "ਬਣਾਉਣ", "ਵਾਲੇ", "ਬੈਡਮਿੰੰਟਨ", "ਖਿਡਾਰੀ", "ਕੇ", ".", "ਸ਼੍ਰੀਕਾਂਤ", "ਪਿਛਲੇ", "ਮਹੀਨੇ", "ਜਪਾਨ", "ਓਪਨ", "ਸੁਪਰ", "ਸੀਰੀਜ਼", "ਦੌਰਾਨ", "ਲੱਗੀ", "ਗਿੱਟੇ", "ਦੀ", "ਸੱਟ", "ਕਾਰਨ", "ਯੂਰਪੀ", "ਸਰਕਟ", "ਤੋਂ", "ਬਾਹਰ", "ਹੋ", "ਗਏ", "ਹਨ", "।" ]
[ "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਬਨੂੜ", "ਪੁਲੀਸ", "ਖ਼ਿਲਾਫ਼", "ਨਾਅਰੇਬਾਜ਼ੀ" ]
[ "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਸੀਆਈਪੀਐੱਸ", "ਕੋਲ", "ਪਹਿਲਾਂ", "ਹੀ", "ਦੁਨੀਆਭਰ", "'", "ਚ", "ਕਈ", "ਦੇਸ਼ਾਂ", "ਦੇ", "ਹਿੱਸੇਦਾਰ", "ਹਨ", "।" ]
[ "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.
[ "ਭਾਰਤੀ", "ਵਨਡੇ", "ਕਪਤਾਨ", "ਮਿਤਾਲੀ", "ਰਾਜ", "ਪੰਜਵੇਂ", "ਸਥਾਨ", "'", "ਤੇ", "ਪਹੁੰਚ", "ਗਈ", "ਹੈ", "।" ]
[ "B-LOC", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਵਾਈਟ", "ਲਈ", "ਸਭਿਆਚਾਰ", "ਇੱਕ", "ਸੁਪਰਆਰਗੈਨਿਕ", "ਹੋਂਦ", "ਸੀ", "ਜੋ", "ਸੂਈ", "ਜੇਨਰਿਕ", "ਸੀ", "ਅਤੇ", "ਜਿਸਨੂੰ", "ਆਪਣੇ", "ਆਪ", "ਦੇ", "ਹਵਾਲੇ", "ਨਾਲ", "ਸਮਝਿਆ", "ਜਾ", "ਸਕਦਾ", "ਸੀ", "।" ]
[ "B-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the 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", "ਗੈਸ", "ਮਨੁੱਖੀ", "ਸਿਹਤ", "ਦੇ", "ਨਾਲ", "ਹੀ", "ਵਾਤਾਵਰਨ", "ਨੂੰ", "ਵੀ", "ਖਾਸਾ", "ਨੁਕਸਾਨ", "ਪਹੁੰਚਾਉਂਦੀ", "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.
[ "ਇਹ", "ਮਾਮਲਾ", "ਵੀ", "ਹਾਈ", "ਕੋਰਟ", "ਵਿੱਚ", "ਵਿਚਾਰ", "ਅਧੀਨ", "ਹੈ", "।" ]
[ "O", "O", "O", "B-ORG", "I-ORG", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਇਹ", "ਹਫਤਾਵਾਰ", "ਕਿਸਤਾਂ", "ਵਿੱਚ", "ਲਿਖੀ", "ਗਈ", "ਸੀ", "ਅਤੇ", "ਉਨ੍ਹਾਂ", "ਦੇ", "ਰਸਾਲੇ", "ਨਵਜੀਵਨ", "ਵਿੱਚ", "1925", "ਤੋਂ", "1929", "ਤੱਕ", "ਛਪੀ", "ਸੀ", "।" ]
[ "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.
[ "ਨਾਜਾਇਜ਼", "ਸ਼ਰਾਬ", "ਨਾਲ", "ਔਰਤ", "ਸਮੇਤ", "2", "ਕਾਬੂ" ]
[ "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਯਾਂਗ", "ਦਕਾਈ", ",", "ਜੋ", "ਉੱਤਰ", "ਪੱਛਮੀ", "ਚੀਨ", "ਦੇ", "ਸ਼ਾਨਸ਼ੀ", "ਸੂਬੇ", "ਵਿਚ", "ਉੱਚ", "ਅਹੁਦੇ", "'", "ਤੇ", "ਤਾਇਨਾਤ", "ਸੀ", ",", "ਨੂੰ", "ਰਿਸ਼ਵਤ", "ਲੈਣ", "ਤੇ", "ਉਸ", "ਕੋਲ", "ਵੱਡੀ", "ਪੱਧਰ", "'", "ਤੇ", "ਬੇਹਿਸਾਬੀ", "ਸੰਪਤੀ", "ਹੋਣ", "ਦੇ", "ਦੋਸ਼", "ਵਿਚ", "ਸ਼ੀਆਨ", "ਪੀਪਲਜ਼", "ਅਦਾਲਤ", "ਨੇ", "ਇਹ", "ਸਜ਼ਾ", "ਸੁਣਾਈ", "।" ]
[ "B-PER", "I-PER", "O", "O", "O", "O", "B-LOC", "O", "B-LOC", "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", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਇਸ", "ਵਿੱਚ", "ਘੱਟੋ", "ਘੱਟ", "ਸਮਰਥਨ", "ਮੁੱਲ", "ਅਤੇ", "ਐੱਮਐੱਸਪੀ", "ਲਈ", "ਮੁੱਲ", "ਲੜੀ", "ਦੇ", "ਵਿਕਾਸ", "ਰਾਹੀਂ", "ਲਘੂ", "ਵਣ", "ਉਤਪਾਦਾਂ", "ਦੀ", "ਮਾਰਕੀਟਿੰਗ", "ਲਈ", "ਇੱਕ", "ਤੰਤਰ", "ਦੀ", "ਕਲਪਨਾ", "ਕੀਤੀ", "ਗਈ", "ਹੈ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "B-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.
[ "ਬਹੁਜਨ", "ਸਮਾਜ", "ਪਾਰਟੀ", "ਦੀ", "ਸੁਪਰੀਮੋ", "ਮਾਇਆਵਤੀ", "ਨੇ", "ਆਰਐਸਐਸ", "ਮੁਖੀ", "ਮੋਹਨ", "ਭਾਗਵਤ", "ਵੱਲ", "ਨਿਸ਼ਾਨਾ", "ਸੇਧਦਿਆਂ", "ਕਿਹਾ", "ਕਿ", "ਸੰਘ", "ਮੁਖੀ", "ਵੱਲੋੋਂ", "ਫ਼ੌਜ", "ਤੇ", "ਸੰਘ", "ਵਿਚਾਲੇ", "ਤੁਲਨਾ", "ਕੀਤੇ", "ਜਾਣਾ", "'", "ਅਪਮਾਨਜਨਕ", "ਤੇ", "ਪ੍ਰੇਸ਼ਾਨ", "ਕਰਨ", "ਵਾਲਾ", "'", "ਹੈ", "।" ]
[ "B-ORG", "I-ORG", "I-ORG", "O", "O", "B-PER", "O", "B-ORG", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਉੱਤਰ", "ਪ੍ਰਦੇਸ਼", "ਰਾਜ", "ਬਿਜਲੀ", "ਬੋਰਡ" ]
[ "B-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਪਿ੍ਯਕਾ", "ਸ਼ਰਮਾ", ",", "ਪ੍ਰੋ", "." ]
[ "B-PER", "I-PER", "O", "B-LOC", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਇਸ", "ਸਬੰਧੀ", "ਪੁਲਿਸ", "ਨੂੰ", "ਸੂੰਚਿਤ", "ਕਰ", "ਦਿੱਤਾ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "'", "ਮੰਤਰਾਲੇ", "ਨੇ", "ਇਹ", "ਵੀ", "ਕਿਹਾ", "ਕਿ", "ਰਿਪੋਰਟ", "'", "ਪੂਰੀ", "ਤਰ੍ਹਾਂ", "ਪੱਖਪਾਤੀ", "'", "ਸੀ", "ਤੇ", "ਇਹ", "'", "ਝੂਠਾ", "ਕਥਾਨਕ", "'", "ਸਿਰਜਣਾ", "ਚਾਹੁੰਦੀ", "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" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਭਾਰਤ", "ਦੇ", "ਚਾਰ", "ਸਿਖਰਲੇ", "ਸਿੰਗਲਜ਼", "ਖਿਡਾਰੀਆਂ", "ਸੋਮਦੇਵ", "ਦੇਵਵਰਮਨ", ",", "ਯੂਕੀ", "ਭਾਂਬਰੀ", ",", "ਸਾਕੇਤ", "ਮਾਈਨੇਨ", "ਤੇ", "ਰਾਮ", "ਕੁਮਾਰ", "ਰਾਮਨਾਥਨ", "ਨੇ", "ਏਆਈਟੀਏ", "ਤੋਂ", "ਅਪੀਲ", "ਕੀਤੀ", "ਹੈ", "ਕਿ", "ਅੰਮ੍ਰਿਤਰਾਜ", "ਤੇ", "ਜੀਸ਼ਾਨ", "ਦੋਵਾਂ", "ਨੂੰ", "ਬਰਕਰਾਰ", "ਰੱਖਿਆ", "ਜਾਵੇ", "ਕਿਉਂਕਿ", "ਟੀਮ", "ਨੇ", "ਉਸ", "ਦੇ", "ਮਾਰਗ", "ਦਰਸ਼ਨ", "ਵਿੱਚ", "ਚੰਗੇ", "ਨਤੀਜੇ", "ਦਿੱਤੇ", "ਹਨ", "।" ]
[ "B-LOC", "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "B-PER", "I-PER", "O", "B-PER", "I-PER", "O", "B-PER", "I-PER", "I-PER", "O", "B-ORG", "O", "O", "O", "O", "O", "B-PER", "O", "B-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.
[ "ਸ੍ਰੀ", "ਗੁਰੂ", "ਗ੍ਰੰਥ", "ਸਾਹਿਬ", "ਦਾ", "ਪ੍ਰਕਾਸ਼", "ਦਿਹਾੜਾ", "ਮਨਾਇਆ" ]
[ "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਦੂਜੀ", "ਦੋ", "ਲਾਇਬ੍ਰੇਰੀ", "ਪ੍ਰਣਾਲੀਆਂ", "ਬਰੁਕਲਿਨ", "ਪਬਲਿਕ", "ਲਾਇਬ੍ਰੇਰੀ", "ਅਤੇ", "ਕਵੀਨਜ਼", "ਲਾਇਬ੍ਰੇਰੀ", "ਹਨ", "।" ]
[ "O", "O", "O", "O", "B-ORG", "I-ORG", "I-ORG", "O", "B-ORG", "I-ORG", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਫਿਲਮ", "ਰਾਧੇ", "ਵਿੱਚ", "ਇੱਕ", "ਵਾਰ", "ਫਿਰ", "ਤੋਂ", "ਸਲਮਾਨ", "ਇੱਕ", "ਪੁਲਿਸ", "ਅਫਸਰ", "ਦੇ", "ਕਿਰਦਾਰ", "ਵਿੱਚ", "ਨਜ਼ਰ", "ਆਉਣਗੇ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "B-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਬੀਤੇ", "ਦਿਨ", "ਜਦੋਂ", "ਕਰਾਚੀ", "ਵਿਚਲੀ", "ਫੈਕਟਰੀ", "'", "ਚ", "ਅੱਗ", "ਦੂਜੀ", "ਤੇ", "ਤੀਜੀ", "ਮੰਜ਼ਲ", "'", "ਤੇ", "ਪੁੱਜੀ", "ਤਾਂ", "ਕਈ", "ਵਰਕਰਾਂ", "ਨੇ", "ਖਿੜਕੀਆਂ", "ਤੋਂ", "ਛਾਲ", "ਮਾਰ", "ਦਿੱਤੀ", "।" ]
[ "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਇਹ", "ਮੁਕਾਬਲੇ", "ਦੌਰਾਨ", "ਲਿਆ", "ਜਾਣ", "ਵਾਲਾ", "ਟੈਸਟ", "ਸੀ", "ਤੇ", "ਪਿਛਲੇ", "ਮਹੀਨੇ", "ਹੈਦਰਾਬਾਦ", "'", "ਚ", "ਰਾਸ਼ਟਰੀ", "ਯੂਥ", "ਚੈਂਪੀਅਨਸ਼ਿਪ", "ਦੌਰਾਨ", "ਲਿਆ", "ਗਿਆ", "ਸੀ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਇਹ", "ਪ੍ਰੀਖਿਆ", "12", "ਅਕਤੂਬਰ", "ਤੋਂ", "ਸ਼ੁਰੂ", "ਹੋਵੇਗੀ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਈਗਲ", "ਹਾਰਬਰ" ]
[ "B-LOC", "I-LOC" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਮੁੱਖ", "ਮੰਤਰੀ", "ਨੇ", "ਕਿਹਾ", "ਕਿ", "ਕੈਬਿਨੇਟ", "ਮੰਤਰੀ", "ਸੁਖਜਿੰਦਰ", "ਸਿੰਘ", "ਰੰਧਾਵਾ", "ਦੀ", "ਅਗਵਾਈ", "ਵਾਲੇ", "ਵਫ਼ਦ", "ਤੋਂ", "ਉਨਾਂ", "ਨੂੰ", "ਰਿਪੋਰਟਾਂ", "ਪ੍ਰਾਪਤ", "ਹੋਈਆਂ", "ਹਨ", "ਅਤੇ", "ਉਨਾਂ", "ਕਿਹਾ", "ਹੈ", "ਕਿ", "ਸ਼ਿਲਾਂਗ", "ਵਿੱਚ", "ਕਿਸੇ", "ਵੀ", "ਗੁਰਦੁਆਰੇ", "ਨੂੰ", "ਨੁਕਸਾਨ", "ਨਹੀਂ", "ਹੋਇਆ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਲੇਈ", "ਨੋ", "ਨੇ", "ਹੇਮੈਂਲਿਨਗਾ", "ਗ੍ਰਾਮਰ", "ਸਕੂਲ", "ਤੋਂ", "ਗ੍ਰੈਜੂਏਸ਼ਨ", "ਕੀਤੀ", "ਅਤੇ", "ਹੇਲਸਿੰਕੀ", "ਵਿੱਚ", "ਯੂਨੀਵਰਸਿਟੀ", "ਵਿੱਚ", "ਪੜ੍ਹਨਾ", "ਸ਼ੁਰੂ", "ਕੀਤਾ", "।" ]
[ "B-PER", "O", "O", "B-PER", "O", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਫ਼ਿਲਮ", "ਦਾ", "ਸੰਗੀਤ", "ਕਲਿਆਣ", "ਜੀ", "ਆਨੰਦ", "ਜੀ", "ਨੇ", "ਤਿਆਰ", "ਕੀਤਾ", "ਸੀ", "।" ]
[ "O", "O", "O", "B-PER", "I-PER", "I-PER", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਹਿਲੇਰੀ", "ਕਲਿੰਟਨ", "ਅੰਬਾਨੀ", "ਦੀ", "ਧੀ", "ਦੇ", "ਵਿਆਹ", "'", "ਚ", "ਉਦੈਪੁਰ", "ਪਹੁੰਚੀ" ]
[ "B-PER", "I-PER", "B-PER", "O", "O", "O", "O", "O", "O", "B-LOC", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਕਿਸੇ", "ਵੀ", "ਧਰਮ", "ਦੇ", "ਭਾਰਤੀ", "ਨਾਗਰਿਕ", "ਨੂੰ", "CAA", "ਜਾਂ", "NRC", "ਬਾਰੇ", "ਫਿਕਰ", "ਕਰਨ", "ਦੀ", "ਜ਼ਰੂਰਤ", "ਨਹੀਂ", "ਹੈ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "B-ORG", "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.
[ "ਪਹਿਲਾਂ", "ਪੰਜਾਬ", "ਸਰਕਾਰ", "ਨੇ", "ਇਸ", "ਮਾਮਲੇ", "ਦੀ", "ਜਾਂਚ", "ਸੀਬੀਆਈ", "ਨੂੰ", "ਦਿੱਤੀ", "ਸੀ", "।" ]
[ "O", "B-LOC", "O", "O", "O", "O", "O", "O", "B-ORG", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਆਹ", "ਹੈ", "ਅਕਸ਼ੈ", "ਕੁਮਾਰ", "।" ]
[ "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.
[ "ਚੀਨ", "ਦੀ", "ਮਹਾਨ", "ਦਿਵਾਰ" ]
[ "B-LOC", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਕਾਂਗਰਸ", "ਨੇਤਾ", "ਰਾਹੁਲ", "ਗਾਂਧੀ", "ਨੇ", "ਵੀ", "ਮੁੱਖ", "ਮੰਤਰੀ", "ਨੂੰ", "ਜਨਮ", "ਦਿਨ", "ਦੀ", "ਵਧਾਈ", "ਦਿੱਤੀ", "ਹੈ", "।" ]
[ "B-ORG", "O", "B-PER", "I-PER", "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.
[ "ਫੇਸਬੁੱਕ", "ਇੰਡੀਆ", "ਦੇ", "ਉਪ", "ਪ੍ਰਧਾਨ", "ਅਤੇ", "ਪ੍ਰਬੰਧ", "ਨਿਰਦੇਸ਼ਕ", "ਅਜੀਤ", "ਮੋਹਨ", "ਨੇ", "ਇਕ", "ਬਿਆਨ", "ਜਾਰੀ", "ਕਰਦਿਆਂ", "ਕਿਹਾ", "ਕਿ", "ਫੇਸਬੁੱਕ", "ਹਮੇਸ਼ਾਂ", "ਇਕ", "ਖੁੱਲਾ", ",", "ਪਾਰਦਰਸ਼ੀ", "ਅਤੇ", "ਨਿਰਪੱਖ", "ਪਲੇਟਫਾਰਮ", "ਰਿਹਾ", "ਹੈ", "ਜਿੱਥੇ", "ਲੋਕ", "ਖੁੱਲ੍ਹ", "ਕੇ", "ਆਪਣੇ", "ਆਪ", "ਨੂੰ", "ਪ੍ਰਗਟ", "ਕਰ", "ਸਕਦੇ", "ਹਨ", "।" ]
[ "B-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਉਨ੍ਹਾਂ", "ਕਿਹਾ", "ਕਿ", "ਕਾਂਗਰਸ", "ਦਾ", "ਮੰਨਣਾ", "ਹੈ", "ਕਿ", "ਸਰਕਾਰੀ", "ਅਹੁਦਿਆਂ", "'", "ਤੇ", "ਐੱਸਸੀ", ",", "ਐੱਸਟੀ", "ਭਾਈਚਾਰੇ", "ਦੀ", "ਨਿਯੁਕਤੀ", "ਸਰਕਾਰਾਂ", "ਦੇ", "ਵਿਵੇਕ", "'", "ਤੇ", "ਨਹੀਂ", "ਹੈ", "ਬਲਕਿ", "ਇਹ", "ਸੰਵਿਧਾਨ", "ਵੱਲੋਂ", "ਦਿੱਤਾ", "ਗਿਆ", "ਗਿਆ", "ਮੌਲਿਕ", "ਅਧਿਕਾਰ", "ਹੈ", "।" ]
[ "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਵੈਬਸਟਰਸ", "ਨਵੇਂ", "ਵਿਸ਼ਵ", "ਕੋਸ਼" ]
[ "B-ORG", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਪੁਲੀਸ", "ਨੇ", "ਨਿਰਮਲ", "ਸਿੰਘ", ",", "ਗੁਰਬਖਸ਼ੀਸ਼", "ਸਿੰਘ", "ਅਤੇ", "ਪ੍ਰਿਤਪਾਲ", "ਸਿੰਘ", "ਖ਼ਿਲਾਫ਼", "ਵੱਖ", "ਵੰਖ", "ਧਾਰਾਵਾਂ", "ਹੇਠ", "ਕੇਸ", "ਦਰਜ", "ਕੀਤਾ", "ਹੈ", "।" ]
[ "O", "O", "B-PER", "I-PER", "O", "B-PER", "I-PER", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਇਹ", "ਪੰਜਾਬ", "ਅਤੇ", "ਹਰਿਆਣਾ", "ਦੀ", "ਹੱਦ", "ਦੇ", "ਨਜ਼ਦੀਕ", "ਹੈ", "।" ]
[ "O", "B-LOC", "O", "B-LOC", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਇਸ", "ਮੌਕੇ", "ਕੁਲਵਿੰਦਰ", "ਸਿੰਘ", ",", "ਦਵਿੰਦਰ", "ਸਿੰਘ", ",", "ਸਲਵਿੰਦਰ", "ਜੱਸੀ", ",", "ਸਤਵੰਤ", "ਤੂਰਾ", ",", "ਮਲਕੀਤ", "ਸਿੰਘ", "ਹਾਜ਼ਰ", "ਸਨ", "।" ]
[ "O", "O", "B-PER", "I-PER", "O", "B-PER", "I-PER", "O", "B-PER", "I-PER", "O", "B-PER", "I-PER", "O", "B-PER", "I-PER", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਪ੍ਰਧਾਨਮੰਤਰੀ", "ਮੋਦੀ", "ਨੇ", "ਸਵੇਰੇ", "ਕਲੈਕਟਰੇਟ", "ਭਵਨ", "ਪਹੁੰਚ", "ਕੇ", "ਆਪਣਾ", "ਨਾਮਜ਼ਦਗੀ", "ਪੱਤਰ", "ਪੇਸ਼", "ਕੀਤਾ", "।" ]
[ "O", "B-PER", "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.
[ "ਹੈਰਾਨੀ", "ਦੀ", "ਗੱਲ", "ਇਹ", "ਹੈ", "ਕਿ", "ਸਿਰਫ", "ਲੁਧਿਆਣਾ", "ਜ਼ਿਲੇ", "ਵਿੱਚੋਂ", "1150", "ਕਿਲੋ", "ਪਲਾਸਟਿਕ", "ਕੈਰੀ", "ਬੈਗ", "ਜ਼ਬਤ", "ਕੀਤੇ", "ਗਏ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਵਿੰਡੋ", "ਰੋਲਃ" ]
[ "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਭਾਰਤ", "ਦੇ", "ਸਟਾਰ", "ਡਬਲਜ਼", "ਖਿਡਾਰੀਆਂ", "ਲਿਏਂਡਰ", "ਪੇਸ", "ਤੇ", "ਰੋਹਨ", "ਬੋਪੰਨਾ", "ਨੇ", "ਅਗਲੇ", "ਹਫ਼ਤੇ", "ਹੋਣ", "ਵਾਲੇ", "ਆਸਟਰੇਲਿਆਈ", "ਓਪਨ", "ਲਈ", "ਸ਼ੁਭ", "ਸੰਕੇਤ", "ਦਿੰਦਿਆਂ", "ਆਪੋ", "-", "ਆਪਣੇ", "ਸਾਥੀ", "ਖਿਡਾਰੀਆਂ", "ਨਾਲ", "ਆਕਲੈਂਡ", "ਤੇ", "ਸਿਡਨੀ", "ਵਿੱਚ", "ਏ", "ਟੀ", "ਪੀ", "ਟੈਨਿਸ", "ਡਬਲਜ਼", "ਦੇ", "ਖ਼ਿਤਾਬ", "ਜਿੱਤ", "ਲਏ", "ਹਨ", "।" ]
[ "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਦਿੱਲੀ", "ਦੇ", "ਉਪ", "ਮੁੱਖ", "ਮੰਤਰੀ", "ਮਨੀਸ਼", "ਸਿਸੋਦੀਆ", "ਨੇ", "ਵੀ", "ਕਿਹਾ", "ਕਿ", "ਚੋਣ", "ਕਮਿਸ਼ਨ", "ਭਾਜਪਾ", "ਦੀ", "ਸੇਵਾ", "ਕਰਨ", "ਲੱਗਾ", "ਹੈ", "।" ]
[ "B-ORG", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਸ਼ੁਰੂਆਤ", "ਤੋਂ", "ਹੀ", "ਨਜ਼ੀਮਾ", "ਦਾ", "ਫਿਲਮਾਂ", "ਵੱਲ", "ਕਾਫੀ", "ਰੁਝਾਣ", "ਸੀ", "।" ]
[ "O", "O", "O", "B-PER", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਕੀ", "ਪਰਮੇਸ਼ੁਰ", "ਦਾ", "ਕੋਈ", "ਸੰਗਠਨ", "ਹੈ", "?" ]
[ "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.
[ "ਉਨ੍ਹਾਂ", "ਦੇ", "ਖੇਡ", "ਮੰਤਰੀ", "ਮੁਹੰਮਦ", "ਜ਼ਹਰੀ", "ਅਗਬਾਰ", "ਕੱਲ੍ਹ", "ਉਦਘਾਟਨੀ", "ਜਸ਼ਨਾਂ", "'", "ਚ", "ਬਠਿੰਡਾ", "ਮੌਜੂਦ", "ਸਨ", "।" ]
[ "O", "O", "O", "O", "B-PER", "I-PER", "I-PER", "O", "O", "O", "O", "O", "B-LOC", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਮੌਸਮ", "ਵਿਭਾਗ", "ਦਾ", "ਕਹਿਣਾ", "ਹੈ", "ਕਿ", "ਮੌਜੂਦਾ", "ਤਬਦੀਲੀ", "ਪੱਛਮੀ", "ਗੜਬੜੀ", "ਕਾਰਨ", "ਆਈ", "ਹੈ", "।" ]
[ "B-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਉਹ", "ਭਾਰਤ", "ਵਿੱਚ", "ਐਮਰਜੈਂਸੀ", "ਦੌਰਾਨ", "ਅਕਾਲੀ", "ਦਲ", "ਦਾ", "ਪ੍ਰਧਾਨ", "ਰਿਹਾ", "ਸੀ", "।" ]
[ "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "\"", "ਉਨ੍ਹਾਂ", "ਕਿਹਾ", ",", "\"", "\"", "ਮੁਢਲੀ", "ਜਾਂਚ", "ਤੋਂ", "ਸੰਕੇਤ", "ਮਿਲਦਾ", "ਹੈ", "ਕਿ", "ਵੈਨ", "ਦੀ", "ਹਾਲਤ", "ਨਿੰਦਾਯੋਗ", "ਸੀ", "ਅਤੇ", "ਜ਼ਿਲ੍ਹਾ", "ਟਰਾਂਸਪੋਰਟ", "ਅਫ਼ਸਰ", "(", "ਡੀਟੀਓ", ")", "ਦੀ", "ਰਿਪੋਰਟ", "ਅਨੁਸਾਰ", "ਗ਼ੈਰਕਾਨੂੰਨੀ", "ਢੰਗ", "ਨਾਲ", "ਚਲਾਇਆ", "ਜਾ", "ਰਿਹਾ", "ਸੀ", "।", "\"" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "I-ORG", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਤਾਮਿਲਨਾਡੂ", ",", "ਕਰਨਾਟਕ", ",", "ਪੰਜਾਬ", ",", "ਤੇਲੰਗਾਨਾ", ",", "ਉੱਤਰ", "ਪ੍ਰਦੇਸ਼", ",", "ਝਾਰਖੰਡ", ",", "ਬਿਹਾਰ", "ਅਤੇ", "ਰਾਜਸਥਾਨ", "।" ]
[ "B-LOC", "O", "B-LOC", "O", "B-LOC", "O", "O", "O", "B-LOC", "I-LOC", "O", "O", "O", "B-LOC", "O", "B-LOC", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਉਸ", "ਦੀ", "ਇੱਕ", "ਛੋਟੀ", "ਭੈਣ", ",", "ਪਿੱਪਾ", "ਅਤੇ", "ਇੱਕ", "ਛੋਟਾ", "ਭਰਾ", "ਜੇਮਜ਼", "ਹੈ", "।" ]
[ "O", "O", "O", "O", "O", "O", "B-PER", "O", "O", "O", "O", "B-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.
[ "ਮੇਰਾ", "ਭਵਨ", "ਏਸ", "ਵਿੱਚ", "ਉਸਾਰਿਆ", "ਜਾਵੇਗਾ", ",", "ਸੈਨਾਂ", "ਦੇ", "ਯਹੋਵਾਹ", "ਦਾ", "ਵਾਕ", "ਹੈ", "।", "\"" ]
[ "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.
[ "ਬਲੈਂਕ", "ਜੈਕਸਨਵਿਲੇ", "ਦੇ", "ਫਲੋਰਿਡਾ", "ਕਮਿਊਨਿਟੀ", "ਕਾਲਜ", "ਵਿੱਚ", "ਪੜ੍ਹੀ", ",", "ਜਿੱਥੇ", "ਉਸਨੇ", "ਇੱਕ", "ਟੈਲੀਵੀਜ਼ਨ", "ਐਂਕਰ", "ਬਣਨ", "ਦੀ", "ਉਮੀਦ", "ਕਰਦਿਆਂ", "ਪ੍ਰਸਾਰਣ", "ਪੱਤਰਕਾਰੀ", "ਦਾ", "ਅਧਿਐਨ", "ਕੀਤਾ", "।" ]
[ "B-PER", "O", "B-LOC", "I-LOC", "I-LOC", "I-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਹਿਮਾਚਲ", "ਪ੍ਰਦੇਸ਼ਃ", "ਰਾਜਪਾਲ", "ਨੇ", "ਕਿਹਾ", "ਹੈ", "ਕਿ", "ਮਹਾਮਾਰੀ", "ਦੇ", "ਸਮੇਂ", "ਦੌਰਾਨ", "ਖੇਤੀ", "ਸੈਕਟਰ", "ਵੱਲ", "ਵਿਸ਼ੇਸ਼", "ਧਿਆਨ", "ਦੇਣ", "ਦੀ", "ਲੋੜ", "ਹੈ", "।" ]
[ "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.
[ "(", "ਏ", "ਪੀ", "ਫੋਟੋ", "/", "ਪੈਟਰਿਕ", "ਸੇਮੈਨਸਕੀ", ")" ]
[ "O", "B-ORG", "I-ORG", "I-ORG", "O", "B-PER", "I-PER", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਕਈ", "ਕਿਸਮ", "ਦੇ", "ਦਲੀਏ", "ਦੇ", "ਆਪਣੇ", "ਨਾਮ", "ਹੁੰਦੇ", "ਹਨ", ",", "ਜਿਵੇਂ", "ਕਿ", "ਪੋਲੇਂਟਾ", ",", "ਗ੍ਰਿਟਸ", "ਅਤੇ", "ਕਾਸ਼ਾ", "." ]
[ "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", "ਸੰਕਲਪ", "ਨੇ", "ਭਾਰਤ", "ਨੂੰ", "ਹੈਰਤਅੰਗੇਜ", "ਨਤੀਜੇ", "ਦਿੱਤੇ", "ਹਨ", "।" ]
[ "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਭਾਰਤੀ", "ਅਧਿਕਾਰੀਆਂ", "ਵੱਲੋਂ", "ਦਿੱਤੇ", "ਗਏ", "ਸਬੂਤਾਂ", "ਦੇ", "ਅਧਾਰ", "'", "ਤੇ", "ਇੰਗਲੈਂਡ", "ਦੀ", "ਕ੍ਰਾਊਨ", "ਪ੍ਰੋਸੀਕਿਊਸ਼ਨ", "ਸਰਵਿਸ", "ਹਾਲ", "ਦੀ", "ਘੜੀ", "ਉਸ", "ਦੀ", "ਹਵਾਲਗੀ", "ਦੀ", "ਕਾਰਵਾਈ", "'", "ਤੇ", "ਕੰਮ", "ਕਰ", "ਰਹੀ", "ਹੈ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਇਸ", "ਸਬੰਧੀ", "ਥਾਣਾ", "ਥਰਮਲ", "ਦੇ", "ਮੁਖੀ", "ਸ਼ਿਵ", "ਚੰਦ", "ਦਾ", "ਕਹਿਣਾ", "ਹੈ", "ਕਿ", "ਉਨ੍ਹਾਂ", "ਨੂੰ", "ਇਸ", "ਮਾਮਲੇ", "ਵਿੱਚ", "ਕੋਈ", "ਜਾਣਕਾਰੀ", "ਨਹੀਂ", "ਹੈ", "।" ]
[ "O", "O", "B-LOC", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਗੁੜਗਾਵਾਂ", "ਦੇ", "ਪਾਰਸ", "ਹਸਪਤਾਲ", "ਦੀ", "ਕਲੀਨੀਕਲ", "ਮਨੋਵਿਗਿਆਨੀ", "ਪ੍ਰੀਤੀ", "ਸਿੰਘ", "ਮੁਤਾਬਕ", ",", "ਇਸ", "ਲਾਕਡਾਊਨ", "ਨੇ", "ਲੋਕਾਂ", "ਨੂੰ", "ਜ਼ਰੂਰਤ", "ਅਤੇ", "ਇਛਾਵਾਂ", "ਦੇ", "ਵਿਚਾਲੇ", "ਫ਼ਰਕ", "ਕਰਨਾ", "ਸਿਖਾਇਆ", "ਹੈ", "ਅਤੇ", "ਉਨ੍ਹਾਂ", "ਨੂੰ", "\"", "ਅਪਣੀ", "ਜ਼ਰੂਰਤਾਂ", "ਨੂੰ", "ਪਹਿਲ", "ਦੇਣ", "\"", "'", "ਚ", "ਮਦਦ", "ਕੀਤੀ", "ਹੈ", "।" ]
[ "B-LOC", "O", "B-LOC", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "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.
[ "'", "ਦ", "ਸਕਾਈ", "ਇਜ਼", "ਪਿੰਕ", "'", "ਨੂੰ", "ਪ੍ਰਿੰਅਕਾ", "ਚੋਪੜਾ", "ਰੋਨੀ", "ਸਕਰੂਵਾਲਾ", "ਅਤੇ", "ਸਿਥਾਰਧ", "ਰਾਏ", "ਕਪੂਰ", "ਨੇ", "ਮਿਲਕੇ", "ਪ੍ਰੋਡਿਊਸ", "ਕਰ", "ਰਹੇ", "ਹਨ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "B-PER", "O", "B-PER", "I-PER", "O", "B-PER", "I-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਅਕਸ਼ੇ", "ਕੁਮਾਰ", "ਦੀ", "'", "ਪੈਡਮੈਨ", "'", "ਉਸ", "ਦਿਨ", "ਹੀ", "ਰਿਲੀਜ਼", "ਹੋ", "ਰਹੀ", "ਹੈ", "।" ]
[ "B-PER", "I-PER", "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.
[ "ਜਿਥੋਂ", "ਤੱਕ", "ਫਿਲਮ", "ਦੀ", "ਰਿਲੀਜ਼", "ਦਾ", "ਸਵਾਲ", "ਹੈ", ",", "ਅਸੀਂ", "ਪਹਿਲਾਂ", "ਫਿਲਮ", "ਨੂੰ", "ਭਾਰਤ", "ਵਿਚ", "ਰਿਲੀਜ਼", "ਕਰਾਂਗੇ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਭਾਜਪਾ", "ਰਾਸ਼ਟਰੀ", "ਕਾਰਜਕਾਰਨੀ", "ਦੀ", "ਬੈਠਕ", "ਸਮਾਪਤ" ]
[ "B-ORG", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਸੰਜੈ", "ਕਪੂਰ", "ਵੀ", "ਮੌਜੂਦ", "ਸਨ", "।" ]
[ "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.
[ "315", "ਕਰੋੜ", "ਰੁਪਏ", "-", "ਪੰਜਾਬ", "ਖੇਤੀਬਾੜੀ", "ਯੂਨੀਵਰਸਿਟੀ", ",", "ਲੁਧਿਆਣਾ", "ਲਈ", "।" ]
[ "O", "O", "O", "O", "B-ORG", "I-ORG", "I-ORG", "O", "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.
[ "ਟਰੱਕ", "ਹੇਠ", "ਆ", "ਕੇ", "22", "ਸਾਲਾ", "ਔਰਤ", "ਦੀ", "ਮੌਤ" ]
[ "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.
[ "ਮੈਨੂੰ", "ਇਸ", "ਅਜ਼ੀਮ", "ਸਦਨ", "ਨੂੰ", "ਇਹ", "ਦੱਸਣ", "ਵਿਚ", "ਫ਼ਖਰ", "ਹੁੰਦਾ", "ਹੈ", "ਕਿ", "ਇੱਕ", "ਵਾਰ", "ਫਿਰ", "ਸੰਕਟ", "ਦੇ", "ਸਮੇਂ", "ਵਿੱਚ", ",", "ਸਾਡੇ", "ਰਾਜ", "ਨੇ", "ਮੁੜ", "ਸਾਬਤ", "ਕੀਤਾ", "ਹੈ", "ਕਿ", "ਪੰਜਾਬ", "ਇਸ", "ਦੇਸ਼", "ਦਾ", "ਅੰਨਦਾਤਾ", "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", "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.
[ "ਫ਼ਿਲਮ", "ਵਿਚ", "ਮਨੋਜ", "ਵਾਜਪਾਈ", "ਤੇ", "ਦਿਲਜੀਤ", "ਦੋਸਾਂਝ", "ਦੀ", "ਵੀ", "ਅਹਿਮ", "ਭੂਮਿਕਾ", "ਹੈ" ]
[ "O", "O", "B-PER", "I-PER", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਭਾਰਤ", "ਚੋਣ", "ਕਮਿਸ਼ਨ", "ਨੇ", "ਮਹਾਰਾਸ਼ਟਰ", "ਤੇ", "ਹਰਿਆਣਾ", "ਸਮੇਤ", "ਕੁੱਝ", "ਰਾਜਾਂ", "ਵਿਚ", "ਵਿਧਾਨਸਭਾ", "ਚੋਣਾਂ", "ਦੀਆਂ", "ਤਰੀਕਾਂ", "ਦਾ", "ਐਲਾਨ", "ਕਰ", "ਦਿੱਤਾ", "ਹੈ", "।" ]
[ "B-ORG", "I-ORG", "I-ORG", "O", "B-LOC", "O", "B-LOC", "O", "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਸੁਪਰੀਮ", "ਕੋਰਟ", "ਨੇ", "ਅੱਜ", "ਨਿਠਾਰੀ", "ਬਲਾਤਕਾਰ", "ਅਤੇ", "ਹੱਤਿਆ", "ਕਾਂਡ", "ਦੇ", "ਦੋਸ਼ੀ", "ਸੁਰਿੰਦਰ", "ਕੋਲੀ", "ਦੀ", "ਫਾਂਸੀ", "ਦੀ", "ਸਜ਼ਾ", "'", "ਤੇ", "ਲਾਈ", "ਰੋਕ", "ਵਿੱਚ", "29", "ਅਕਤੂਬਰ", "ਤੱਕ", "ਦਾ", "ਵਾਧਾ", "ਕੀਤਾ", "ਹੈ", "।" ]
[ "B-ORG", "I-ORG", "O", "O", "B-PER", "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the 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", "ਵਿੱਚ", "ਆਪਣੇ", "ਹਮਰੁਤਬਾ", "ਦੇ", "ਕਾਰਨਾਂ", "ਨੂੰ", "ਪੂਰੀ", "ਤਰਾਂ", "ਅਣਉਚਿਤ", "ਦੱਸਦਿਆਂ", "ਪੰਜਾਬ", "ਦੇ", "ਮੁੱਖ", "ਮੰਤਰੀ", "ਨੇ", "ਪੱਛਿਆ", ",", "\"", "ਕੀ", "ਉਹ", "(", "ਕੇਜਰੀਵਾਲ", ")", "ਸੱਚਮੁੱਚ", "ਆਈ", ".", "ਆਈ", ".", "ਟੀ", ".", "ਗ੍ਰੇਜੂਏਟ", "ਹੈ", "?" ]
[ "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the 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", "ਨੌਜਵਾਨ", "ਖਿਲਾਫ", "ਆਈਪੀਸੀ", "ਦੀ", "ਧਾਰਾ", "376", "ਦੇ", "ਤਹਿਤ", "ਮਾਮਲਾ", "ਦਰਜ", "ਕਰ", "ਲਿਆ", "ਹੈ", "।" ]
[ "O", "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਪਿੰਡ", "ਤੇ", "ਡਾਕਃ", "ਘੁਡਾਣੀ", "ਕਲਾਂ", ",", "ਲੁਧਿਆਣਾ", "।" ]
[ "O", "O", "O", "B-LOC", "I-LOC", "O", "B-LOC", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਮਾਈਕ੍ਰੋਵੇਵ", "ਪ੍ਰੋਜੈਕਟ" ]
[ "B-ORG", "I-ORG" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਇਨ੍ਹਾਂ", "ਵਿਚੋਂ", "80", "ਸੁਪਰ", "ਸਪੈਸ਼ਲਿਸਟਾਂ", "ਦੀ", "ਭਰਤੀ", "ਅੰਮ੍ਰਿਤਸਰ", "ਅਤੇ", "ਪਟਿਆਲਾ", "ਵਿਖੇ", "ਸਰਕਾਰੀ", "ਮੈਡੀਕਲ", "ਕਾਲਜਾਂ", "ਦੇ", "ਓਨਕੋਲੋਜੀ", ",", "ਸਰਜੀਕਲ", "ਓਨਕੋਲੋਜੀ", ",", "ਨਿਊਕਲਰ", "ਮੈਡੀਸਿਨ", ",", "ਰੇਡੀਓ", "ਥੈਰੈਪੀ", ",", "ਰੇਡੀਓਲੋਜੀ", "ਅਤੇ", "ਇਮੂਨੋ", "-", "ਹੈਮਟੌਲੋਜੀ", "ਅਤੇ", "ਬਲੱਡ", "ਟ੍ਰਾਂਸਫਿਊਜ਼ਨ", "ਵਿਭਾਗਾਂ", "ਵਿੱਚ", "ਕੀਤੀ", "ਜਾਵੇਗੀ", "ਤਾਂ", "ਜੋ", "ਕੈਂਸਰ", "ਵਰਗੀਆਂ", "ਮਾਰੂ", "ਬੀਮਾਰੀਆਂ", "ਨਾਲ", "ਪ੍ਰਭਾਵੀ", "ਤਰੀਕੇ", "ਨਾਲ", "ਨਿਪਟਿਆ", "ਜਾ", "ਸਕੇ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "O", "B-ORG", "I-ORG", "I-ORG", "O", "O", "O", "B-ORG", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਅਤੇ", "ਮੈਨੂੰ", "ਯਕੀਨ", "ਹੈ", "ਕਿ", "ਜਦੋਂ", "ਅਸੀਂ", "ਮਿਲ", "ਕੇ", "ਗਿਆਨ", ",", "ਤਕਨਾਲੋਜੀ", "ਅਤੇ", "ਵਾਧੇ", "ਦਾ", "ਫਲ਼", "ਸਾਂਝਾ", "ਕਰਾਂਗੇ", ",", "ਅਸੀਂ", "ਆਪਣੇ", "ਵਿਕਾਸ", "ਅਤੇ", "ਖੁਸ਼ਹਾਲੀ", "ਨੂੰ", "ਤੇਜ", "ਕਰਾਂਗੇ", "।" ]
[ "O", "O", "O", "O", "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.
[ "ਮੁਜ਼ੱਫਰਨਗਰ", ",", "6", "ਸਤੰਬਰ" ]
[ "B-LOC", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਕਾਲਜ", "ਡੱਬਵਾਲੀ", "ਰੋਡ", "'", "ਤੇ", "ਬਠਿੰਡਾ", "ਦੇ", "ਬਾਹਰਵਾਰ", "ਸਥਿਤ", "ਹੈ", "।" ]
[ "O", "B-LOC", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਇਸਪਾਤ", "ਦੀ", "ਵਰਤੋਂ", "ਦੀ", "ਉੱਚ", "ਤੀਬਰਤਾ", "ਦੇਸ਼", "ਦੇ", "ਉੱਚ", "ਵਿਕਾਸ", "ਨੂੰ", "ਦਰਸਾਉਂਦੀ", "ਹੈ", ",", "ਖ਼ਾਸ", "ਕਰਕੇ", "ਇਮਾਰਤ", "ਨਿਰਮਾਣ", "ਅਤੇ", "ਬੁਨਿਆਦੀ", "ਢਾਂਚਾ", "ਵਿਕਾਸ", "ਜਿਹੇ", "ਵਿਕਾਸ", "ਦਰ", "ਚਲਾਉਣ", "ਵਾਲੇ", "ਖੇਤਰਾਂ", "ਵਿੱਚ", "।" ]
[ "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", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the 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", "ਭੁਪਿੰਦਰ", "ਸਿੰਘ", "ਨਿਮਾਣਾ", "ਕੁਲਵਿੰਦਰ", "ਸਿੰਘ", "ਚਾਵਲਾ", ",", "ਸੁਖਵਿੰਦਰ", "ਸਿੰਘ", "ਬੱਬੂ", ",", "ਪੇਮ", "ਸਾਗਰ", "ਖੁਰਾਣਾ", "ਅਤੇ", "ਹੋਰ", "ਹਾਜ਼ਰ", "ਸਨ", "।" ]
[ "O", "O", "B-PER", "I-PER", "O", "B-PER", "I-PER", "O", "O", "O", "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.
[ "ਦਰਅਸਲ", ",", "ਪਰਮੇਸ਼ੁਰ", "ਦੇ", "ਰਾਜ", "ਦੀ", "ਖ਼ੁਸ਼", "ਖ਼ਬਰੀ", "ਦਾ", "\"", "ਪਰਚਾਰ", "ਸਾਰੀ", "ਦੁਨੀਆ", "ਵਿੱਚ", "\"", "ਕੀਤਾ", "ਜਾ", "ਰਿਹਾ", "ਹੈ", "ਤਾਂਕਿ", "\"", "ਸਭ", "ਕੌਮਾਂ", "ਉੱਤੇ", "ਸਾਖੀ", "ਹੋਵੇ", "।", "\"" ]
[ "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਰੋਹਿਤ", "ਨੂੰ", "ਉਸਦੀ", "ਸ਼ਾਨਦਾਰ", "ਬੱਲੇਬਾਜ਼ੀ", "ਲਈ", "'", "ਮੈਨ", "ਆਫ", "ਦਿ", "ਮੈਚ", "'", "ਐਲਾਨਿਆ", "ਗਿਆ", "।" ]
[ "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.
[ "ਉਨ੍ਹਾਂ", "ਆਖਿਆ", "ਕਿ", "ਪ੍ਰਧਾਨ", "ਮੰਤਰੀ", "ਨਰਿੰਦਰ", "ਮੋਦੀ", "ਦੀ", "ਅਗਵਾਈ", "ਵਿੱਚ", "ਭਾਰਤ", "ਹਰ", "ਖੇਤਰ", "ਵਿੱਚ", "ਉਸਾਰੂ", "ਕਦਮ", "ਪੁੱਟ", "ਰਿਹਾ", "ਹੈ", "।" ]
[ "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]