polyglots/Punjabi-NER · Datasets at Hugging Face

instructions stringclasses 1 value	input listlengths 1 100	output listlengths 1 100
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਘਰੇਲੂ", "ਬੈਂਕਾਂ", "ਵਿਚ", "5", "%", "ਤੋਂ", "ਵੱਧ", "ਦੀ", "ਹਿੱਸੇਦਾਰੀ", "ਖਰੀਦਣ", "ਲਈ", "ਰਿਜ਼ਰਵ", "ਬੈਂਕ", "ਆਫ਼", "ਇੰਡੀਆ", "ਦੀ", "ਮਨਜ਼ੂਰੀ", "ਦੀ", "ਜ਼ਰੂਰਤ", "ਹੈ", "." ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਨਿਲਾਮੀ", "ਲਈ", "ਬੋਲੀਆਂ", "ਪ੍ਰਤੀਯੋਗੀ", "ਅਤੇ", "ਗ਼ੈਰ", "-", "ਪ੍ਰਤੀਯੋਗੀ", "ਦੋਵੇਂ", "ਬੋਲੀ", "07", "ਅਗਸਤ", ",", "2020", "ਨੂੰ", "ਰਿਜ਼ਰਵ", "ਬੈਂਕ", "ਆਵ੍", "ਇੰਡੀਆ", "ਕੋਰ", "ਬੈਂਕਿੰਗ", "ਸਲਿਊਸ਼ਨ", "(", "ਈ", "-", "ਕੁਬਰ", ")", "ਪ੍ਰਣਾਲੀ", "'", "ਤੇ", "ਇਲੈਕਟ੍ਰੌਨਿਕ", "ਫਾਰਮੈਟ", "ਵਿੱਚ", "ਜਮ੍ਹਾਂ", "ਕਰਵਾਈਆਂ", "ਜਾਣੀਆਂ", "ਚਾਹੀਦੀਆਂ", "ਹਨ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "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", "ਪੰਜਾਬ", "ਸਰਕਾਰ", "ਖ਼ਿਲਾਫ਼", "ਨਾਅਰੇਬਾਜ਼ੀ", "ਕੀਤੀ", "ਅਤੇ", "ਪੁਤਲਾ", "ਸਾੜਿਆ", "।" ]	[ "O", "B-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਅਮਰੀਕਾ", "ਸਥਿਤ", "ਥਿੰਕ", "ਟੈਂਕ", "38", "ਨੌਰਥ", "ਦੁਆਰਾ", "ਸਮੀਖਿਆ", "ਕੀਤੀ", "ਗਈ", "ਸੈਟੇਲਾਈਟ", "ਦੀਆਂ", "ਤਸਵੀਰਾਂ", "ਵਿੱਚ", "ਪਿਛਲੇ", "ਹਫਤੇ", "ਵੋਨਸਨ", "ਦੇ", "ਇੱਕ", "ਸਟੇਸ਼ਨ", "ਤੇ", "ਕਿਮ", "ਦੀ", "ਇੱਕ", "ਰੇਲ", "ਸ਼ਾਇਦ", "ਦਿਖਾਈ", "ਗਈ", "ਸੀ", "." ]	[ "O", "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "B-PER", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਵਿਸ਼ਵ", "ਹਿੰਦੂ", "ਪ੍ਰੀਸ਼ਦ", "(", "ਵੀਐਚਪੀ", ")", "ਨੇ", "ਇੱਥੇ", "ਰਾਮ", "ਮੰਦਰ", "ਦੀ", "ਉਸਾਰੀ", "ਲਈ", "ਵਰਤੇ", "ਜਾਣ", "ਵਾਲੇ", "ਪੱਥਰ", "ਇਕੱਠੇ", "ਕਰਨੇ", "ਸ਼ੁਰੂ", "ਕਰ", "ਦਿੱਤੇ", "ਹਨ", "।" ]	[ "B-ORG", "I-ORG", "I-ORG", "O", "B-ORG", "O", "O", "B-LOC", "B-LOC", "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.	[ "ਉਦਯੋਗਾਂ", "ਦੁਆਰਾ", "ਸਥਾਪਿਤ", "ਈ", ".", "ਟੀ", ".", "ਪੀਜ਼", "ਦੀ", "ਜਾਂਚ", "ਲਈ", "ਕਾਰਜ", "-", "ਵਿਧੀ", "ਦੀ", "ਮਜ਼ਬੂਤੀ", "ਲਈ", "ਵੀ", "ਪੰਜਾਬ", "ਪ੍ਰਦੂਸ਼ਣ", "ਕੰਟਰੋਲ", "ਬੋਰਡ", "ਨੂੰ", "ਨਿਰਦੇਸ਼", "ਜਾਰੀ", "ਕੀਤੇ", "ਗਏ", "ਹਨ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਮੁੱਖਮੰਤਰੀ", "ਮਹਿਬੂਬਾ", "ਮੁਫਤੀ", "ਨੇ", "ਇਸ", "ਯੋਜਨਾ", "ਦੀ", "ਸ਼ੁਰੂਆਤ", "ਕੀਤੀ", "।" ]	[ "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਉਨ੍ਹਾਂ", "ਕਿਹਾ", "ਕਿ", "ਦੁਨੀਆ", "ਭਾਰਤ", "ਵੱਲ", "ਪੂਰੇ", "ਭਰੋਸੇ", "ਨਾਲ", "ਦੇਖ", "ਰਹੀ", "ਹੈ", "।" ]	[ "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.	[ "[", "ਸਫ਼ੇ", "31", "ਉੱਤੇ", "ਤਸਵੀਰਾਂ", "]", "]" ]	[ "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the 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", "ਬਿੱਲ", "ਨੋਟਬੰਦੀ", "ਦੇ", "ਮੁੱਦੇ", "'", "ਤੇ", "ਹੰਗਾਮੇ", "ਵਿਚਕਾਰ", "ਕਿਰਤ", "ਮੰਤਰੀ", "ਬੰਡਾਰੂ", "ਦੱਤਾਤ੍ਰੇਅ", "ਨੇ", "ਪੇਸ਼", "ਕੀਤਾ", "ਸੀ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਪੀਵੀਆਰ", "ਸਿਨੇਮਾ", "ਦੇ", "ਮੈਨੇਜਰ", "ਉਂਕਾਰ", "ਸਿੰਘ", "ਨੇ", "ਦੱਸਿਆ", "ਕਿ", "ਉਨ੍ਹਾਂ", "ਆਪਣੇ", "ਗੁੜਗਾਉਂ", "ਵਿਚਲੇ", "ਹੈੱਡ", "ਆਫ਼ਿਸ", "ਨੂੰ", "ਸੂਚਿਤ", "ਕਰ", "ਦਿੱਤਾ", "ਹੈ", "ਕਿ", "ਉਹ", "ਇਹ", "ਫ਼ਿਲਮ", "ਨਾ", "ਚਲਾਉਣ", "।" ]	[ "B-ORG", "I-ORG", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "(", "ੳ", ")", "ਸਾਨੂੰ", "ਇਹ", "ਸਿੱਟਾ", "ਕਿਉਂ", "ਨਹੀਂ", "ਕੱਢਣਾ", "ਚਾਹੀਦਾ", "ਹੈ", "ਕਿ", "ਮਸੀਹ", "ਇਜਾਜ਼ਤੀ", "ਹੈ", "?" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਇਸ", "ਸੂਬੇ", "ਦੀ", "ਰਾਜਧਾਨੀ", "ਅਸਦਾਬਾਦ", "ਹੈ", "।" ]	[ "O", "O", "O", "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.	[ "ਅਭਿਨਵ", "ਬਿੰਦਰਾ", "ਅਤੇ", "ਦੀਪਕ", "ਰਾਓ", "ਨੂੰ", "ਵੀ", "ਸਨਮਾਨਿਤ", "ਕੀਤਾ", "ਗਿਆ", "ਸੀ", "।" ]	[ "B-PER", "I-PER", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਹਾਰਦਿਕ", "ਨੇ", "ਲੋਕਾਂ", "ਦੀ", "ਆਵਾਜ਼", "ਬੁਲੰਦ", "ਕੀਤੀ", "ਹੈ", ",", "ਉਨ੍ਹਾਂ", "ਲਈ", "ਨੌਕਰੀਆਂ", "ਮੰਗੀਆਂ", "ਹਨ", "ਅਤੇ", "ਸਕਾਲਰਸ਼ਿਪ", "ਦੀ", "ਮੰਗ", "ਕੀਤੀ", "ਹੈ", "।" ]	[ "B-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਪਟਿਆਲੇ", "ਤੋਂ", "ਬਠਿੰਡਾ", "ਜਾਂਦਿਆਂ", "ਰਾਹ", "ਵਿੱਚ", "ਮੈਂ", "ਇੱਕ", "ਦਿਲਖਿੱਚਵਾਂ", "ਰੰਗਦਾਰ", "ਕੰਧ", "ਪੋਸਟਰ", "ਦੇਖਿਆ", "।" ]	[ "B-LOC", "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.	[ "ਪੰਜਾਬ", ",", "ਹਰਿਆਣਾ", "ਅਤੇ", "ਚੰਡੀਗੜ੍ਹ", "ਨੂੰ", "ਅਪਰੇਸ਼ਨ", "ਦੌਰਾਨ", "ਹੋਏ", "ਖਰਚੇ", "ਦੀ", "ਰਿਪੋਰਟ", "ਦਾਖਲ", "ਕਰਨ", "ਦੇ", "ਨਿਰਦੇਸ਼", "ਦਿੱਤੇ", "ਹਨ", "।" ]	[ "B-LOC", "O", "B-LOC", "O", "B-LOC", "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.	[ "ਆਈਟੀਬੀਪੀ", "ਨੇ", "ਜਵਾਨਾਂ", "ਲਈ", "ਪਹਿਲੀ", "ਵਾਰ", "ਸ਼ੁਰੂ", "ਕੀਤੀ", "ਆਨਲਾਈਨ", "ਸ਼ਰਾਬ", "ਵੰਡ", "ਵਿਵਸਥਾ" ]	[ "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.	[ "ਮੁੱਖ", "ਮਹਿਮਾਨ", "ਵਜੋਂ", "ਐੱਸ", ".", "ਡੀ", ".", "ਕਾਲਜ", "ਦੀ", "ਮੇਨੈਜਮੈਟ", "ਦੇ", "ਪ੍ਰਧਾਨ", "ਡਾ", "." ]	[ "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.	[ "ਉਦੋਂ", "ਦੇ", "ਤਤਕਾਲੀ", "ਪ੍ਰਧਾਨ", "ਮੰਤਰੀ", "ਪੰਡਿਤ", "ਨਹਿਰੂ", "ਨੇ", "ਭਾਰਤੀ", "ਸੰਸਦ", "ਮੈਂਬਰ", "ਚਮਨ", "ਲਾਲ", "ਨੂੰ", "ਸ਼੍ਰੀ", "ਕੇਤੀਆਤਾ", "ਦੀ", "ਰੱਖਿਆ", "ਟੀਮ", "ਦਾ", "ਮੈਂਬਰ", "ਬਣਨ", "ਲਈ", "ਭੇਜਿਆ", "ਸੀ", "ਜਿੱਥੇ", "ਬਾਅਦ", "ਵਿੱਚ", "ਉਹਨਾਂ", "ਨੂੰ", "ਕੈਦ", "ਕਰ", "ਲਿਆ", "ਗਿਆ", "ਅਤੇ", "1953", "ਵਿੱਚ", "ਕੇਪਨਗੁਰੀਆ", "ਮੁਕੱਦਮੇ", "ਤਹਿਤ", "ਉਹਨਾਂ", "ਤੇ", "ਕੇਸ", "ਚਲਾਇਆ", "ਗਿਆ", "ਸੀ", "।" ]	[ "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "B-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਇਸ", "ਗਰੁੱਪ", "ਦੀ", "ਨੀਂਹ", "2001", "ਵਿੱਚ", "ਚੀਨ", "ਸ਼ਹਿਰ", "ਸ਼ੰਘਾਈ", "'", "ਚ", "ਰੂਸ", ",", "ਚੀਨ", ",", "ਕਿਰਗਿਜ਼", "ਗਣਰਾਜ", ",", "ਕਜ਼ਾਖ਼ਿਸਤਾਨ", ",", "ਤਾਜਿਕਿਸਤਾਨ", "ਅਤੇ", "ਉਜ਼ਬੇਕਿਸਤਾਨ", "ਦੇ", "ਰਾਸ਼ਟਰਪਤੀਆਂ", "ਦੇ", "ਸਿਖਰ", "ਸੰਮੇਲਨ", "ਦੌਰਾਨ", "ਰੱਖੀ", "ਗਈ", "ਸੀ", "।" ]	[ "O", "B-ORG", "O", "O", "O", "O", "O", "O", "B-LOC", "O", "O", "B-LOC", "O", "B-LOC", "O", "B-LOC", "I-LOC", "O", "B-LOC", "O", "B-LOC", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਸ਼੍ਰੋਮਣੀ", "ਅਕਾਲੀ", "ਦਲ", "ਨੇ", "ਆਪਣੀ", "ਮੈਂਬਰ", "ਤੇ", "ਕੇਂਦਰੀ", "ਮੰਤਰੀ", "ਹਰਸਿਮਰਤ", "ਕੌਰ", "ਬਾਦਲ", "ਨਾਲ", "ਕਥਿਤ", "ਤੌਰ", "'", "ਤੇ", "ਦੁਰਵਿਹਾਰ", "ਕਰਨ", "ਦੇ", "ਦੋਸ਼", "ਵਿੱਚ", "ਅੱਜ", "ਰਾਜ", "ਸਭਾ", "ਵਿੱਚ", "ਕਾਂਗਰਸੀ", "ਆਗੂਆਂ", "ਜੈਰਾਮ", "ਰਮੇਸ਼", "ਅਤੇ", "ਰੇਣੂਕਾ", "ਚੌਧਰੀ", "ਖ਼ਿਲਾਫ਼", "ਮਰਿਆਦਾ", "ਮਤਾ", "ਪੇਸ਼", "ਕੀਤਾ", "।" ]	[ "B-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "O", "B-ORG", "O", "B-PER", "I-PER", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਭਾਵਾਤਮਕ", "ਸੰਤੁਲਨ", "ਬਣਾਈ", "ਰੱਖਣ", "ਲਈ", "ਬੁੱਧੀ", "ਦੇ", "ਬਚਨ" ]	[ "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", "ਯਹੋਵਾਹ", "ਨਾਲ", "ਦੋਸਤੀ", "ਕਰ", "ਸਕਦੇ", "ਹਨ", "ਅਤੇ", "ਹਮੇਸ਼ਾ", "ਲਈ", "ਜੀਉਣ", "ਦੀ", "ਤੇ", "ਪਰਮੇਸ਼ੁਰ", "ਦੇ", "ਜਸ", "ਗਾਉਣ", "ਦੀ", "ਉਮੀਦ", "ਰੱਖ", "ਸਕਦੇ", "ਹਨ", "।" ]	[ "O", "B-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਗ੍ਰਹਿ", "ਮੰਤਰਾਲਾ", "ਵੱਡੀ", "ਗਿਣਤੀ", "ਵਿੱਚ", "ਵਿਦਿਆਰਥੀਆਂ", "ਦੇ", "ਹਿਤਾਂ", "ਨੂੰ", "ਧਿਆਨ", "ਵਿੱਚ", "ਰੱਖਦੇ", "ਹੋਏ", ",", "10ਵੀਂ", "ਅਤੇ", "12ਵੀਂ", "ਦੀਆਂ", "ਬੋਰਡ", "ਪ੍ਰੀਖਿਆਵਾਂ", "ਕਰਵਾਉਣ", "ਲਈ", "ਲੌਕਡਾਊਨ", "ਉਪਾਵਾਂ", "ਵਿੱਚ", "ਛੂਟ", "ਦਿੱਤੀ", "ਗਈ", "ਹੈ", ":", "ਸ਼੍ਰੀ", "ਅਮਿਤ", "ਸ਼ਾਹ", "ਵੱਡੀ", "ਗਿਣਤੀ", "ਵਿੱਚ", "ਵਿਦਿਆਰਥੀਆਂ", "ਦੇ", "ਅਕਾਦਮਿਕ", "ਹਿਤਾਂ", "ਨੂੰ", "ਧਿਆਨ", "ਵਿੱਚ", "ਰੱਖਦੇ", "ਹੋਏ", ",", "ਇਹ", "ਫੈਸਲਾ", "ਲਿਆ", "ਗਿਆ", "ਹੈ", "ਕਿ", "ਲੌਕਡਾਊਨ", "ਉਪਾਵਾਂ", "ਤੋਂ", "10ਵੀਂ", "ਅਤੇ", "12ਵੀਂ", "ਦੀ", "ਬੋਰਡ", "ਪ੍ਰੀਖਿਆ", "ਕਰਵਾਉਣ", "ਦੀ", "ਛੂਟ", "ਦੇ", "ਦਿੱਤੀ", "ਜਾਏ", "।" ]	[ "B-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "\"", "ਇੱਕ", "ਹੋਰ", "ਸਿੱਕੇ", "'", "ਤੇ", "\"", "\"", "ਉਸਮਾਨ", "ਬਿਨ", "ਅਰਤੂਰਰੂਲ", "ਬਿਨ", "ਗਨਦੂਜ਼", "ਅਲਪ", "\"", "\"", "ਪੜ੍ਹਿਆ", "ਜਾਂਦਾ", "ਹੈ", ",", "ਹਾਲਾਂਕਿ", "ਅਰਤੂਗਰੁਲ", "ਰਵਾਇਤੀ", "ਤੌਰ", "'", "ਤੇ", "ਸੁਲੇਮਾਨ", "ਸ਼ਾਹ", "ਦਾ", "ਪੁੱਤਰ", "ਮੰਨਿਆ", "ਜਾਂਦਾ", "ਹੈ", "।", "\"" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "O", "B-PER", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "B-PER", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "(", "ਅ", ")", "ਯਹੋਵਾਹ", "ਨੇ", "ਹਿਜ਼ਕੀਯਾਹ", "ਨੂੰ", "ਮਾਫ਼", "ਕਿਉਂ", "ਕਰ", "ਦਿੱਤਾ", "?" ]	[ "O", "O", "O", "B-PER", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਲੇਖਕ", ",", "ਜੂਲੀਆ", "ਡੌਨਲਡਸਨ" ]	[ "O", "O", "B-PER", "I-PER" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਇਸ", "ਤੋਂ", "ਇਲਾਵਾ", ",", "ਮਾਈਲਾਬ", "ਇਕਲੌਤੀ", "ਭਾਰਤੀ", "ਕੰਪਨੀ", "ਹੈ", "ਜਿਸ", "ਨੇ", "ਆਈਸੀਐਮਆਰ", "ਮੁਲਾਂਕਣ", "ਵਿਚ", "100", "ਪ੍ਰਤੀਸ਼ਤ", "ਸੰਵੇਦਨਸ਼ੀਲਤਾ", "ਅਤੇ", "ਵਿਸ਼ੇਸ਼ਤਾ", "ਪ੍ਰਾਪਤ", "ਕੀਤੀ", "।" ]	[ "O", "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਉਨ੍ਹਾਂ", "ਕਿਹਾ", "ਕਿ", "ਇਸ", "ਦਾ", "ਅਰਥ", "ਇਹ", "ਹੋਇਆ", "ਕਿ", "ਦਿੱਲੀ", "'", "ਚ", "ਪੋਲਟਰੀ", "ਪੰਛੀਆਂ", "'", "ਚ", "ਏਵੀਅਨ", "ਫ਼ਲੂ", "ਨਹੀਂ", "ਹੈ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਫੌਜੀ", "ਮੁਖੀ", "ਕਮਰ", "ਜਾਵੇਦ", "ਬਾਜਵਾ", "ਨੇ", "ਫੌਜ", "ਨੂੰ", "ਬਚਾਅ", "ਕਾਰਜਾਂ", "ਵਿੱਚ", "ਸਿਵਲ", "ਪ੍ਰਸ਼ਾਸਨ", "ਦੀ", "ਮਦਦ", "ਕਰਨ", "ਦਾ", "ਹੁਕਮ", "ਦਿੱਤਾ", "ਸੀ", "।" ]	[ "O", "O", "B-PER", "I-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਕੈਪਟਨ", "ਅਮਰਿੰਦਰ", "ਸਿੰਘ", "ਨੇ", "ਕਿਹਾ", "ਕਿ", "ਇਹ", "ਮੁਹਿੰਮ", "ਬਾਸਮਤੀ", "ਅਤੇ", "ਖੇਤੀ", "ਰਸਾਇਣਾਂ", "ਦੀ", "ਢੁਕਵੀ", "ਵਰਤੋਂ", "ਕਰਨ", "ਲਈ", "ਕਿਸਾਨਾਂ", "ਨੂੰ", "ਜਾਗਰੂਕ", "ਕਰਨ", "ਵਾਸਤੇ", "ਸ਼ੁਰੂ", "ਕੀਤੀ", "ਗਈ", "ਸੀ", "।" ]	[ "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" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਮੇਰੇ", "ਬਚਪਨ", "ਨੂੰ", "ਬਹੁਤ", "ਦਿਲਚਸਪ", "ਬਣਾਉਣ", "ਲਈ", "ਧੰਨਵਾਦ", "." ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਇਨ੍ਹਾਂ", "ਪ੍ਰੋਜੈਕਟਾਂ", "ਨਾਲ", "ਸ਼ਹਿਰ", "ਵਿੱਚ", "ਮੈਟਰੋ", "ਬੁਨਿਆਦੀ", "ਢਾਂਚੇ", "ਨੂੰ", "ਹੁਲਾਰਾ", "ਮਿਲੇਗਾ", "ਅਤੇ", "ਹਰੇਕ", "ਮੁੰਬਈ", "ਵਾਸੀ", "ਲਈ", "ਸੁਰੱਖਿਅਤ", ",", "ਤੇਜ਼", "ਅਤੇ", "ਬਿਹਤਰ", "ਆਵਾਜਾਈ", "ਦੇ", "ਸਾਧਨ", "ਉਪਲੱਬਧ", "ਹੋਣਗੇ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਇਸ", "ਬੈਠਕ", "'", "ਚ", "ਪ੍ਰਧਾਨ", "ਮੰਤਰੀ", "ਨਰਿੰਦਰ", "ਮੋਦੀ", "ਦੇ", "ਵੀ", "ਮੌਜੂਦ", "ਰਹਿਣ", "ਦੀ", "ਸੰਭਾਵਨਾ", "ਹੈ", "।" ]	[ "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਜੈ", "ਜਗਨਨਾਥ", "!", "\"", "-", "ਸ਼੍ਰੀ", "ਅਮਿਤ", "ਸ਼ਾਹ", "ਕੇਂਦਰੀ", "ਗ੍ਰਹਿ", "ਮੰਤਰੀ", "ਸ਼੍ਰੀ", "ਅਮਿਤ", "ਸ਼ਾਹ", "ਨੇ", "ਅੱਜ", "ਲੋਕਾਂ", "ਨੂੰ", "ਜਗਨਨਾਥ", "ਰਥ", "ਯਾਤਰਾ", "ਦੀਆਂ", "ਸ਼ੁਭਕਾਮਨਾਵਾਂ", "ਦਿੱਤੀਆਂ", "ਹਨ", "।" ]	[ "B-PER", "I-PER", "I-PER", "I-PER", "I-PER", "I-PER", "I-PER", "I-PER", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "1984", "ਦੇ", "ਦੰਗੇ", ":", "ਸੁਪਰੀਮ", "ਕੋਰਟ", "ਨੇ", "199", "ਬੰਦ", "ਕੇਸਾਂ", "ਦੀਆਂ", "ਫਾਈਲਾਂ", "ਮੰਗੀਆਂ" ]	[ "O", "O", "O", "O", "B-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਫੇਸਬੁੱਕ", "ਦੀ", "ਮਲਕੀਅਤ", "ਵਾਲੇ", "ਇੰਸਟਾਗ੍ਰਾਮ", "ਨੇ", "ਆਪਣੀ", "ਨਵੀਂ", "ਵੀਡੀਓ", "-", "ਸੰਗੀਤ", "ਦੇ", "ਰੀਮਿਕਸ", "ਵਿਸ਼ੇਸ਼ਤਾ", "ਰੀਲਜ਼", "ਦਾ", "ਵਿਸਥਾਰ", "ਕੀਤਾ", "ਹੈ", ",", "ਜੋ", "ਚੀਨੀ", "ਛੋਟਾ", "ਵੀਡੀਓ", "ਬਣਾਉਣ", "ਵਾਲੀ", "ਐਪ", "ਟਿੱਕਟੋਕ", "ਤੋਂ", "ਪ੍ਰੇਰਣਾ", "ਲੈਂਦਿਆਂ", "ਫਰਾਂਸ", "ਅਤੇ", "ਜਰਮਨੀ", "ਤੱਕ", "ਪਹੁੰਚਦਾ", "ਹੈ", "." ]	[ "O", "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "O", "O", "O", "B-LOC", "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.	[ "□", "ਅਸੀਂ", "ਕਿਉਂ", "ਕਹਿ", "ਸਕਦੇ", "ਹਾਂ", "ਕਿ", "ਨੂਹ", "ਅਤੇ", "ਉਸ", "ਦਾ", "ਪਰਿਵਾਰ", "ਜਲ", "-", "ਪਰਲੋ", "ਦੇ", "ਲਈ", "ਤਿਆਰ", "ਸੀ", "?" ]	[ "O", "O", "O", "O", "O", "O", "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.	[ "ਇਸ", "ਮਗਰੋਂ", "ਭਾਰਤ", "ਨੂੰ", "ਸਾਰੀਆਂ", "ਓਆਈਸੀ", "ਬੈਠਕਾਂ", "'", "ਚੋਂ", "ਬਾਹਰ", "ਰੱਖਿਆ", "ਗਿਆ", "।" ]	[ "O", "O", "B-LOC", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਪੈਰਿਸ", ",", "ਏਜੰਸੀਆਂ" ]	[ "O", "O", "B-LOC" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਮਿਜ਼ੋਰਮ", "-", "ਮਿਜ਼ੋਰਮ", "ਨੇ", "ਇੰਡੀਅਨ", "ਕੌਂਸਲ", "ਆਵ੍", "ਮੈਡੀਕਲ", "ਰਿਸਰਚ", "ਤੋਂ", "1800", "ਨੋਵੇਲ", "ਕੋਰੋਨਾ", "ਟੈਸਟਿੰਗ", "ਕਿੱਟਾਂ", "ਹਾਸਿਲ", "ਕੀਤੀਆਂ", "।", "।" ]	[ "B-LOC", "O", "B-LOC", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "1997", "'", "ਚ", "ਮੁੱਖ", "ਮੰਤਰੀ", "ਬਣਨ", "ਸਮੇਂ", "ਪ੍ਰਕਾਸ਼", "ਸਿੰਘ", "ਬਾਦਲ", "ਦੇ", "ਪਹਿਲੇ", "ਮੰਤਰੀ", "ਮੰਡਲ", "ਦਾ", "ਇਹ", "ਫੈਸਲਾ", "ਸੀ", "ਕਿ", "ਕਿਸਾਨਾਂ", "ਨੂੰ", "ਮੁਫ਼ਤ", "ਬਿਜਲੀ", "-", "ਪਾਣੀ", "ਦਿੱਤਾ", "ਜਾਏਗਾ", "।" ]	[ "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" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਰਾਸ਼ਟਰੀ", "ਪਲਾਈਵੁੱਡ", "ਇੰਡਸਟਰੀਜ਼", "ਲਿਮਟਿਡ" ]	[ "B-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.	[ "ਪੁਲਿਸ", "ਨੂੰ", "ਮੌਕੇ", "ਤੋਂ", "ਕੋਈ", "ਖ਼ੁਦਕੁਸ਼ੀ", "ਨੋਟ", "ਨਹੀਂ", "ਮਿਲਿਆ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਇਸ", "ਫਿਲਮ", "ਦਾ", "ਨਿਰਦੇਸ਼ਨ", "ਅੰਬਰਦੀਪ", "ਸਿੰਘ", "ਕਰਨਗੇ", "।" ]	[ "O", "O", "O", "O", "B-PER", "I-PER", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਮਿਜ਼ੋਰਮ", "-", "ਆਈਸੀਐੱਮਆਰ", "-", "ਐੱਨਆਈਐੱਮਆਰ", "ਤੋਂ", "ਦਵਾਈਆਂ", "ਦੇ", "9", "ਡੱਬੇ", "ਭਾਰਤੀ", "ਵਾਯੂ", "ਸੈਨਾ", "ਦੇ", "ਜਹਾਜ਼", "ਰਾਹੀਂ", "ਆਇਜ਼ਵਾਲ", "ਪਹੁੰਚੇ", "।" ]	[ "O", "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "B-LOC", "O", "B-ORG", "O", "O", "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.	[ "ਪ੍ਰਧਾਨ", ",", "ਸ਼੍ਰੋਮਣੀ", "ਗੁਰਦੁਆਰਾ", "ਪ੍ਰਬੰਧਕ", "ਕਮੇਟੀ", "।" ]	[ "O", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਬੰਗਲਾਦੇਸ਼", "ਕ੍ਰਿਕਟ", "ਬੋਰਡ", "ਨੇ", "ਲਾਲਮਾਟੀਆ", "ਕਲੱਬ", "ਦੇ", "ਸੁਜੋਨ", "ਮਹਿਮੂਦ", "ਨੂੰ", "ਖੇਡ", "ਨੂੰ", "ਬਦਨਾਮ", "ਕਰਨ", "ਦਾ", "ਦੋਸ਼ੀ", "ਪਾਇਆ", "।" ]	[ "B-ORG", "I-ORG", "I-ORG", "O", "B-ORG", "I-ORG", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਚੰਡੀਗੜ੍ਹ", ":", "ਪੰਜਾਬ", "ਤੇ", "ਹਰਿਆਣਾ", "ਹਾਈ", "ਕੋਰਟ", "ਨੇ", "ਪੰਜਾਬ", "ਯੂਨੀਵਰਸਿਟੀ", "ਨੂੰ", "ਆਪਣੇ", "ਸਾਰੇ", "ਵਿਭਾਗਾਂ", "ਵਿਚ", "ਕੁੜੀਆਂ", "ਲਈ", "ਕੋਟੇ", "ਦਾ", "ਪ੍ਰਬੰਧ", "ਰੱਖਣ", "ਲਈ", "ਆਖਿਆ", "ਹੈ", "।" ]	[ "O", "O", "B-LOC", "O", "B-LOC", "O", "O", "O", "B-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "'", "ਬੇਬੀਮੂਨ", "'", "ਮਨਾਉਣ", "ਪ੍ਰੈਗਨੈਂਟ", "ਪਤਨੀ", "ਨਾਲ", "ਕੈਨੇਡਾ", "ਨਿਕਲੇ", "ਕਪਿਲ", "ਸ਼ਰਮਾ" ]	[ "O", "O", "O", "O", "O", "O", "O", "B-LOC", "O", "B-PER", "I-PER" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "'", "ਭਾਰਤੀ", "ਕਿਸਾਨ", "ਯੂਨੀਅਨ", "ਦੇ", "ਪ੍ਰਧਾਨ", "ਬਲਬੀਰ", "ਸਿੰਘ", "ਰਾਜੇਵਾਲ", "ਨੇ", "ਦਾਅਵਾ", "ਕੀਤਾ", "ਕਿ", "ਪੰਜਾਬ", "ਅਤੇ", "ਹੋਰ", "ਰਾਜਾਂ", "ਵਿਚ", "ਕਿਸਾਨਾਂ", "ਦੇ", "ਪ੍ਰਦਰਸ਼ਨ", "ਨੂੰ", "ਚੰਗਾ", "ਹੁੰਗਾਰਾ", "ਮਿਲਿਆ", "ਹੈ", "।" ]	[ "O", "B-ORG", "I-ORG", "I-ORG", "O", "O", "B-PER", "I-PER", "I-PER", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਸੜਕ", "ਹਾਦਸੇ", "ਵਿਚ", "ਸਾਬਕਾ", "ਜੱਜ", "ਦੀ", "ਮੌਤ" ]	[ "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਪੰਜਾਬ", "ਸਰਕਾਰ", "ਇਸ", "ਸਪੇਨਿਸ਼", "ਨਿਵੇਸ਼", "ਨੂੰ", "ਸਾਂਭਣ", "ਵਿਚ", "ਸਫ਼ਲ", "ਰਹੀ", "।" ]	[ "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.	[ "ਮਹਿਲਾ", "ਪੱਤਰਕਾਰ", "ਐਲੀਸਨ", "ਪਾਰਕਰ", "(", "24", ")", "ਅਤੇ", "ਕੈਮਰਾਮੈਨ", "ਐਡਮ", "ਵਾਰਡ", "(", "27", ")", "ਮੋਨੇਟਾ", "'", "ਚ", "ਇੰਟਰਵਿਊ", "ਕਰ", "ਰਹੇ", "ਸਨ", "।" ]	[ "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" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਬੀਐਸਐਫ਼", "ਵੱਲੋਂ", "ਸਰਹੱਦ", "ਤੋਂ", "30", "ਕਰੋੜ", "ਦੀ", "ਹੈਰੋਇਨ", "ਬਰਾਮਦ" ]	[ "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.	[ "ਐਨ", "ਵੋਹਰਾ", "ਨੇ", "ਅੱਜ", "ਪਹਿਲੀ", "ਤੇ", "ਦੂਜੀ", "ਵੱਡੀ", "ਪਾਰਟੀ", "ਰਹੀਆਂ", "ਪੀਡੀਪੀ", "ਤੇ", "ਭਾਜਪਾ", "ਨੂੰ", "ਸੂਬੇ", "'", "ਚ", "ਸਰਕਾਰ", "ਬਣਾਉਣ", "ਬਾਰੇ", "ਚਰਚਾ", "ਲਈ", "ਬੁਲਾਇਆ", "।" ]	[ "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" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਉਨ੍ਹਾਂ", "ਦੱਸਿਆ", "ਕਿ", "ਸ਼ਾਇਦ", "ਮ੍ਰਿਤਕ", "ਦਾ", "ਕਤਲ", "ਕਿਤੇ", "ਹੋਰ", "ਕੀਤਾ", "ਗਿਆ", "ਹੈ", "ਤੇ", "ਲਾਸ਼", "ਨੂੰ", "ਇਥੇ", "ਸੁੱਟ", "ਦਿੱਤਾ", "ਗਿਆ", "ਹੈ", "।" ]	[ "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.	[ "ਪੁਲਿਸ", "ਨੇ", "ਗੁਰਪ੍ਰੀਤ", "ਸਿੰਘ", "ਗਿੱਲ", "ਕਲਕੱਤੇ", "ਵਾਲਾ", "ਅਤੇ", "ਉਸ", "ਦੇ", "ਅਣਪਛਾਤੇ", "ਸਾਥੀ", "ਖਿਲਾਫ", "ਕੇਸ", "ਦਰਜ", "ਕੀਤਾ", "ਹੈ", "।" ]	[ "O", "O", "B-PER", "I-PER", "I-PER", "I-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਡੀਵੀਸੀ", "ਕੋਰਟ" ]	[ "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.	[ "ਆਯੁਰਵੈਦਿਕ", "ਸੰਸਥਾ" ]	[ "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.	[ "ਉਹ", "ਅਭਿਨੇਤਰੀ", "ਪੂਜਾ", "ਰੂਪਰੇਲ", "ਦੀ", "ਛੋਟੀ", "ਭੈਣ", "ਹੈ", "।" ]	[ "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਉਨ੍ਹਾਂ", "ਦੱਸਿਆ", "ਕਿ", "ਐਨ", ".", "ਆਰ", ".", "ਆਈ", ".", "ਡੈਲੀਗੇਟ", "ਅਮਰੀਕਾ", ",", "ਕੈਨੇਡਾ", ",", "ਇੰਗਲੈਂਡ", ",", "ਆਸਟਰੇਲੀਆ", ",", "ਨਿਊਜ਼ੀਲੈਂਡ", ",", "ਦੁਬਈ", ",", "ਮਲੇਸ਼ੀਆ", ",", "ਸਿੰਗਾਪੁਰ", ",", "ਨਾਰਵੇ", ",", "ਇਟਲੀ", ",", "ਅਰਜਨਟੀਨਾ", ",", "ਬ੍ਰਾਜ਼ੀਲ", ",", "ਤਨਜਾਨੀਆ", ",", "ਕੀਨੀਆ", ",", "ਨਾਈਜੀਰੀਆ", ",", "ਪਾਕਿਸਤਾਨ", ",", "ਅਫਗਾਨਿਸਤਾਨ", "ਤੇ", "ਨੇਪਾਲ", "ਤੋਂ", "ਸ਼ਿਰਕਤ", "ਕਰ", "ਰਹੇ", "ਹਨ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "O", "B-LOC", "O", "B-LOC", "O", "B-LOC", "O", "B-LOC", "O", "O", "O", "B-LOC", "O", "B-LOC", "O", "B-LOC", "O", "O", "O", "O", "O", "B-LOC", "O", "B-LOC", "O", "B-LOC", "O", "B-LOC", "O", "B-LOC", "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.	[ "ਸ੍ਰੀ", "ਅਨੰਤਨੈਂਡ" ]	[ "B-PER", "I-PER" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਇਹ", "ਹੋਰ", "ਕੁਝ", "ਨਹੀਂ", "ਬਲਕਿ", "ਦਾਦਾਗਿਰੀ", "ਹੈ", "।" ]	[ "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.	[ "ਸਾਇਸ਼ਾ", ",", "ਦਿਲੀਪ", "ਕੁਮਾਰ", "ਦੀ", "ਬੇਗਮ", "ਸਾਇਰਾ", "ਬਾਨੋ", "ਦੀ", "ਗ੍ਰੈਂਡ", "ਨੀਸ", "ਸ਼ਾਹੀਨ", "ਬਾਨੂ", "ਅਤੇ", "ਅਦਾਕਾਰ", "ਸੁਮੀਤ", "ਸਹਿਗਲ", "ਦੀ", "ਬੇਟੀ", "ਹੈ", "।" ]	[ "B-PER", "O", "B-PER", "I-PER", "O", "O", "B-PER", "I-PER", "O", "O", "O", "B-PER", "I-PER", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਇਸੇ", "ਤਰ੍ਹਾਂ", "ਆਪਣੀ", "ਮੁਹਾਰਤ", "ਵਾਲੇ", "ਖੇਤਰਾਂ", "ਵਿੱਚ", "ਇਹ", "ਐਨਜੀਓ", "ਹਰਿਆਣਾ", "ਸਰਕਾਰ", "ਨਾਲ", "ਮਿਲ", "ਕੇ", "ਕੰਮ", "ਕਰ", "ਰਹੀ", "ਹੈ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "5", "ਲੱਖ", "ਸਿਹਤ", "ਅਤੇ", "ਵੈੱਲਨੈੱਸ", "ਸੈਂਟਰ", "ਦੇਸ਼", "ਵਿੱਚ", "ਖੋਲ੍ਹੇ", "ਜਾ", "ਰਹੇ", "ਹਨ", "ਅਤੇ", "20,000", "ਹਸਪਤਾਲ", "ਆਯੁਸ਼ਮਾਨ", "ਭਾਰਤ", "ਯੋਜਨਾ", "ਨਾਲ", "ਰਜਿਸਟਰਡ", "ਕੀਤੇ", "ਗਏ", "ਹਨ", "ਅਤੇ", "70", "ਲੱਖ", "ਮਰੀਜ਼ਾਂ", "ਨੇ", "ਮੈਡੀਕਲ", "ਸਹੂਲਤਾਂ", "ਦਾ", "ਲਾਭ", "ਉਠਾਇਆ", "ਹੈ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਉਨ੍ਹਾਂ", "ਕਿਹਾ", "ਕਿ", "ਛੱਤੀਸਗੜ੍ਹ", "ਇਕ", "ਅਜਿਹਾ", "ਸੂਬਾ", "ਹੈ", "ਜਿੱਥੇ", "80", "ਫ਼ੀਸਦੀ", "ਛੋਟੇ", "ਉਦਯੋਗ", "ਮੁੜ", "ਸ਼ੁਰੂ", "ਹੋ", "ਗਏ", "ਹਨ", "ਤੇ", "ਲਗਪਗ", "85,000", "ਮਜ਼ਦੂਰ", "ਕੰਮ", "'", "ਤੇ", "ਪਰਤ", "ਆਏ", "ਹਨ", "।" ]	[ "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਗਰੁੱਪ", "ਸੀ", "ਵਿੱਚੋਂ", "ਕਾਜਲ", "ਕਾਟਲ", ",", "ਪੂਨਮ", "ਅਤੇ", "ਰਾਜਿੰਦਰ", "ਕੌਰ", "ਕ੍ਰਮਵਾਰ", "ਪਹਿਲੇ", ",", "ਦੂਜੇ", "ਤੇ", "ਤੀਜੇ", "ਸਥਾਨ", "'", "ਤੇ", "ਰਹੀਆਂ", "।" ]	[ "O", "O", "O", "B-PER", "I-PER", "O", "B-PER", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਜੰਮੂ", "ਕਸ਼ਮੀਰ", "ਵਿੱਚ", "ਫਿਲਹਾਲ", "ਕੋਈ", "ਚੁਣੀ", "ਹੋਈ", "ਸਰਕਾਰ", "ਨਹੀਂ", "ਹੈ", "ਅਤੇ", "ਸੂਬੇ", "ਵਿੱਚ", "ਰਾਸ਼ਟਰਪਤੀ", "ਰਾਜ", "ਲਾਗੂ", "ਹੈ", "।" ]	[ "B-LOC", "I-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਵੱਖ", "-", "ਵੱਖ", "ਕਾਲਜਾਂ", "ਨੇ", "ਇਸ", "ਸੈਮੀਨਾਰ", "ਵਿਚ", "ਹਿੱਸਾ", "ਲਿਆ", "।" ]	[ "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.	[ "ਕੋਟਾ", "ਰੋਟਾ" ]	[ "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਉਦਯੋਗ", "ਅਤੇ", "ਬੁਨਿਆਦੀ", "ਢਾਂਚਾ" ]	[ "B-ORG", "I-ORG", "I-ORG", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਕੇਪ", "ਚੇਟ", "CS" ]	[ "B-ORG", "I-ORG", "I-ORG" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਨਰਵਾਣੇ", ",", "ਜਲ", "ਸੈਨਾ", "ਮੁਖੀ", "ਐਡਮਿਰਲ", "ਕਰਮਬੀਰ", "ਸਿੰਘ", "ਤੇ", "ਹਵਾਈ", "ਸੈਨਾ", "ਮੁਖੀ", "ਏਅਰ", "ਚੀਫ਼", "ਮਾਰਸ਼ਲ", "ਆਰ", ".", "ਕੇ", ".", "ਐੱਸ", ".", "ਭਦੌਰੀਆ", "ਮੌਜੂਦ", "ਸਨ", "।" ]	[ "B-PER", "O", "B-ORG", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "I-PER", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਸ਼ਰਮਾ", "(", "43", ")", "ਨੇ", "ਵੈਂਟਵਰਦਿਨ", "ਜ਼ਿਲ੍ਹੇ", "ਦੇ", "ਪੂਰਬੀ", "ਉਪਨਗਰ", "ਸੀਟ", "ਲਈ", "ਆਜ਼ਾਦ", "ਉਮੀਦਵਾਰ", "ਕੇਰੇਨ", "ਫੇਲਪਸ", "ਨੂੰ", "ਹਰਾਇਆ", "।" ]	[ "B-PER", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਇਹ", "ਇੱਕ", "ਰੋਜ਼ਾਨਾ", "ਸੇਵਾ", "ਹੈ", "ਅਤੇ", "ਪੁਣੇ", "ਦੇ", "ਨੇੜੇ", "ਵਹਿ", "ਨਦੀ", "ਇਦਰਾਣੀ", "ਤੇ", "ਰੱਖਿਆ", "ਗਿਆ", "ਹੈ", "।" ]	[ "O", "O", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਕਮਾਡੈਂਟ", "ਚੌਥੀ", "ਕਮਾਂਡੋ", "ਬਟਾਲੀਅਨ", "ਮੁਹਾਲੀ", "ਗੁਰਪ੍ਰੀਤ", "ਸਿੰਘ", "ਗਿੱਲ", "ਖੰਨਾ", "ਦੇ", "ਨਵੇਂ", "ਜ਼ਿਲ੍ਹਾ", "ਪੁਲੀਸ", "ਮੁਖੀ", "ਹੋਣਗੇ", "।" ]	[ "O", "O", "O", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "B-LOC", "O", "O", "O", "O", "B-ORG", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਨੈਸ਼ਨਲ", "ਅਸੈਂਬਲੀ", "'", "ਚ", "ਬਾਜੌਰ", "ਏਜੰਸੀ", "ਦੀਆਂ", "ਦੋ", "ਸੀਟਾਂ", "ਹਨ", "।" ]	[ "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.	[ "ਹੋਟਲ", "ਦੇ", "ਸਟਾਫ", "ਬਹੁਤ", "ਵਧੀਆ", "ਅਤੇ", "ਦੋਸਤਾਨਾ", "ਹਨ", "." ]	[ "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", "ਮਨੁੱਖਤਾ", "ਦੇ", "ਕੰਮ", "ਨੂੰ", "ਕੀਤੇ", "ਬਿਨਾ", "ਕਦੇ", "ਰਹਿ", "ਨਹੀਂ", "ਸਕਦਾ", "ਹੈ", "।" ]	[ "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.	[ "ਪਾਕਿ", "ਫੌਜ", "ਨਾਲ", "ਟਕਰਾਅ", "ਲਈ", "ਤਿਆਰ", "ਸੀ", "ਓਬਾਮਾ" ]	[ "B-PER", "O", "O", "O", "O", "O", "O", "B-PER" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਸੋਮੰਤ", "ਬ੍ਰਹਮਚਾਰੀ" ]	[ "B-PER", "I-PER" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਨਵਾਜ਼", "ਦੀ", "ਪ੍ਰਧਾਨ", "ਮੰਤਰੀ", "ਅਹੁਦੇ", "ਤੋਂ", "ਅਯੋਗਤਾ", "ਨਿਰਵਿਵਾਦ", "-", "ਪਾਕਿ", "ਸੁਪਰੀਮ", "ਕੋਰਟ" ]	[ "O", "O", "O", "O", "B-PER", "O", "O", "O", "O", "B-ORG", "I-ORG", "I-ORG" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਇਸਰਾਰ", "ਅਹਿਮਦ" ]	[ "B-PER", "I-PER" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਫਤਿਹਗੜ੍ਹ", "ਚੂੜੀਆਂ", ",", "26", "ਮਾਰਚ" ]	[ "B-LOC", "I-LOC", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਹਾਲਾਂਕਿ", ",", "ਇਸ", "ਸੱਟੇਬਾਜ਼ੀ", "ਦਾ", "ਕੋਈ", "ਤੱਥ", "ਆਧਾਰਿਤ", "ਆਧਾਰ", "ਨਹੀਂ", "ਹੈ", "." ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਉਹ", "ਕਿੰਨੀ", "ਖ਼ੁਸ਼", "ਹੈ", "ਕਿ", "ਉਸ", "ਦੇ", "ਪੁੱਤਰ", "ਨੇ", "ਆਪਣੀ", "ਮਰਜ਼ੀ", "ਨਾਲ", "ਯਹੋਵਾਹ", "ਦੀ", "ਸੇਵਾ", "ਕਰਨ", "ਦਾ", "ਫ਼ੈਸਲਾ", "ਕੀਤਾ", "ਹੈ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਵਿਚੋਲਗੀ", "ਪੈਨਲ", "'", "ਚ", "ਅਧਿਆਤਮਕ", "ਗੁਰੂ", "ਸ਼੍ਰੀ", "ਸ਼੍ਰੀ", "ਰਵੀਸ਼ੰਕਰ", "ਤੇ", "ਸੀਨੀਅਰ", "ਵਕੀਲ", "ਸ਼੍ਰੀਰਾਮ", "ਪੰਚੂ", "ਮੈਂਬਰ", "ਹਨ", "।" ]	[ "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "I-PER", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਕਲਿਓਫ਼ਿਸ", "(", "Sanskrit", ":", "ਕ੍ਰੀਪਾ", ")", "ਅਸਾਕਨੀ", "ਲੋਕਾਂ", "ਅਤੇ", "ਅਲੈਗਜੈਂਡਰ", "ਮਹਾਨ", "ਦੇ", "ਵਿਚਾਲੇ", "ਯੁੱਧ", "ਵਿੱਚ", "ਕਲਿਓਫ਼ਿਸ", "ਇੱਕ", "ਮੁੱਖ", "ਹਸਤੀ", "ਸੀ", "।" ]	[ "B-PER", "O", "O", "O", "B-PER", "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.	[ "ਮੈਂਬਰ", "ਪਾਰਲੀਮੈਂਟ", "ਨੇ", "ਜ਼ਿਲੇ", "ਨੂੰ", "ਕੋਵਿਡ", "-", "19", "ਵਿਰੁੱਧ", "ਲੜਾਈ", "ਲੜਨ", "ਲਈ", "25", "ਲੱਖ", "ਰੁਪਏ", "ਦੀ", "ਰਕਮ", "ਦਿੱਤੀ", "ਅਤੇ", "ਦੱਸਿਆ", "ਗਿਆ", "ਕਿ", "ਇਸ", "ਰਕਮ", "ਦੀ", "ਵਰਤੋਂ", "ਜ਼ਿਲ੍ਹੇ", "ਲਈ", "ਐਡਵਾਂਸਡ", "ਲਾਈਫ", "ਸਪੋਰਟ", "(", "ਏ", ".", "ਐੱਲ", ".", "ਐੱਸ", ".", ")", "ਐਂਬੂਲੈਂਸ", "ਲਈ", "ਕੀਤੀ", "ਜਾਏਗੀ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "I-ORG", "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.	[ "ਦਰਿਸ਼", "%", "s", "ਰੁੱਝਿਆ", "ਹੋਇਆ", "ਹੈ", "।", "ਇੱਥੇ", "ਪਹਿਲਾਂ", "ਹੀ", "ਹੋਰ", "X", "ਸਰਵਰ", "ਚੱਲ", "ਰਿਹਾ", "ਹੈ", "।" ]	[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਅਸੀਂ", "ਸੂਚਨਾ", "ਅਤੇ", "ਸੰਚਾਰ", "ਟੈਕਨੋਲੋਜੀ", "ਦੇ", "ਉਪਯੋਗ", "ਵਿੱਚ", "ਸੁਰੱਖਿਆ", "ਦੇ", "ਖੇਤਰ", "ਵਿੱਚ", "ਸਹਿਯੋਗ", "'", "ਤੇ", "ਭਾਰਤ", "-", "ਰੂਸ", "ਅੰਤਰਾਸ਼ਟਰੀ", "ਸਮਝੌਤੇ", "ਦੇ", "ਅਧਾਰ", "'", "ਤੇ", "ਇਸ", "ਖੇਤਰ", "ਵਿੱਚ", "ਦੁਵੱਲੀ", "ਗੱਲਬਾਤ", "ਨੂੰ", "ਸਰਗਰਮ", "ਕਰਨ", "ਦੀ", "ਲੋੜ", "ਨੂੰ", "ਸਵੀਕਾਰ", "ਕਰਦੇ", "ਹਾਂ", "।", "ਭਾਰਤ", "ਅਤੇ", "ਰੂਸ", "ਦੇ", "ਲੋਕਾਂ", "ਦੇ", "ਵਿਚਕਾਰ", "ਗਹਿਰੇ", "ਆਪਸੀ", "ਹਿੱਤ", ",", "ਹਮਦਰਦੀ", "ਅਤੇ", "ਸਨਮਾਨ", "ਨੂੰ", "ਧਿਆਨ", "ਵਿੱਚ", "ਰੱਖਦੇ", "ਹੋਏ", "ਅਸੀਂ", "ਸੱਭਿਆਚਾਰ", "ਅਤੇ", "ਖੇਡਾਂ", "ਦੇ", "ਖੇਤਰ", "ਵਿੱਚ", "ਦੁਵੱਲੇ", "ਸੰਪਰਕ", "ਨੂੰ", "ਹੋਰ", "ਵਿਕਸਤ", "ਕਰਨ", "ਵਿੱਚ", "ਯੋਗਦਾਨ", "ਦੇਵਾਂਗੇ", "ਜਿਸ", "ਵਿੱਚ", "ਸਾਲਾਨਾ", "ਤਿਓਹਾਰ", "ਅਤੇ", "ਅਦਾਨ", "-", "ਪ੍ਰਦਾਨ", "ਵੀ", "ਸ਼ਾਮਲ", "ਹੈ", "।" ]	[ "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "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.	[ "ਸੁਦੇਸ਼", "ਸ਼ਰਮਾ", ",", "ਡਾ", "." ]	[ "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਫਰਮਵੇਅਰ", "ਅੱਪਗਰੇਡ" ]	[ "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਐਡੀਸ਼ਨਲ", "ਸੈਸ਼ਨ", "ਜੱਜ", "ਸੰਦੀਪ", "ਯਾਦਵ", "ਨੇ", "ਰਵੀ", "ਕਪੂਰ", "ਅਮਿਤ", "ਸ਼ੁਕਲਾ", "ਅਤੇ", "ਬਲਜੀਤ", "ਸਿੰਘ", "ਮਲਿਕ", "ਨੂੰ", "ਭਾਰਤੀ", "ਦੰਡਾਵਲੀ", "ਤਹਿਤ", "ਕਤਲ", ",", "ਅਗਵਾ", ",", "ਲੁੱਟਮਾਰ", ",", "ਫਰਜ਼ੀਵਾੜੇ", "ਦਾ", "ਦੋਸ਼ੀ", "ਠਹਿਰਾਇਆ", "ਸੀ", "।" ]	[ "O", "O", "O", "B-PER", "I-PER", "O", "B-PER", "I-PER", "B-PER", "I-PER", "O", "B-PER", "I-PER", "I-PER", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਸਿੰਘ", "ਨੇ", "ਸਿਵਲ", "ਰਜਿਸਟ੍ਰੇਸ਼ਨ", "ਪ੍ਰਣਾਲੀ", "ਖ਼ਾਸ", "ਤੌਰ", "'", "ਤੇ", "ਦੂਰ", "-", "ਦੁਰਾਡੇ", "ਇਲਾਕਿਆਂ", "ਵਿਚ", "ਜਨਮ", "ਅਤੇ", "ਮੌਤ", "ਦੇ", "ਰਜਿਸਟ੍ਰੇਸ਼ਨ", "ਵਿਚ", "ਸੁਧਾਰ", "ਕਰਨ", "ਅਤੇ", "ਅੰਕੜਿਆਂ", "ਦਾ", "ਮੁਲਾਂਕਣ", "ਕਰਨ", "ਲਈ", "ਨਮੂਨਾ", "ਰਜਿਸਟ੍ਰੇਸ਼ਨ", "ਪ੍ਰਣਾਲੀ", "ਨੂੰ", "ਮਜ਼ਬੂਤ", "ਕਰਨ", "ਜਿਵੇਂ", "ਬੱਚਾ", "ਮੌਤ", "ਦਰ", ",", "ਮਾਂ", "ਮੌਤ", "ਦਰ", "ਅਤੇ", "ਪ੍ਰਜਣਨ", "ਦਰ", "'", "ਤੇ", "ਵੀ", "ਜ਼ੋਰ", "ਦਿਤਾ", "।" ]	[ "B-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਇਸ", "ਤੋਂ", "ਇਲਾਵਾ", "ਉਹ", "ਟਰਾਂਸਜੈਂਡਰ", "ਮੰਤਰਾਲੇ", "ਵਿੱਚ", "ਸਿਟੀ", "ਰਿਫਊਜ", "ਯੂਨਾਇਟਿਡ", "ਚਰਚ", "ਆਫ਼", "ਕ੍ਰਾਈਸਟ", "ਦੇ", "ਨਿਯੁਕਤ", "ਕੀਤੇ", "ਮੰਤਰੀ", "ਅਤੇ", "ਪੁਸ਼ਟੀਵਾਨ", "ਮੰਤਰਾਲਿਆਂ", "ਦੀ", "ਫੈਲੋਸ਼ਿਪ", "ਦੇ", "ਵੈਸਟ", "ਕੋਸਟ", "ਦੇ", "ਖੇਤਰੀ", "ਟਰਾਂਸਸੇਂਟ", "ਮੰਤਰੀ", "ਸੀ", "।" ]	[ "O", "O", "O", "O", "B-ORG", "I-ORG", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.	[ "ਤਪਾ", "ਮੰਡੀ", ",", "27", "ਅਗਸਤ" ]	[ "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.

[ "ਘਰੇਲੂ", "ਬੈਂਕਾਂ", "ਵਿਚ", "5", "%", "ਤੋਂ", "ਵੱਧ", "ਦੀ", "ਹਿੱਸੇਦਾਰੀ", "ਖਰੀਦਣ", "ਲਈ", "ਰਿਜ਼ਰਵ", "ਬੈਂਕ", "ਆਫ਼", "ਇੰਡੀਆ", "ਦੀ", "ਮਨਜ਼ੂਰੀ", "ਦੀ", "ਜ਼ਰੂਰਤ", "ਹੈ", "." ]

[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "O", "O" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਨਿਲਾਮੀ", "ਲਈ", "ਬੋਲੀਆਂ", "ਪ੍ਰਤੀਯੋਗੀ", "ਅਤੇ", "ਗ਼ੈਰ", "-", "ਪ੍ਰਤੀਯੋਗੀ", "ਦੋਵੇਂ", "ਬੋਲੀ", "07", "ਅਗਸਤ", ",", "2020", "ਨੂੰ", "ਰਿਜ਼ਰਵ", "ਬੈਂਕ", "ਆਵ੍", "ਇੰਡੀਆ", "ਕੋਰ", "ਬੈਂਕਿੰਗ", "ਸਲਿਊਸ਼ਨ", "(", "ਈ", "-", "ਕੁਬਰ", ")", "ਪ੍ਰਣਾਲੀ", "'", "ਤੇ", "ਇਲੈਕਟ੍ਰੌਨਿਕ", "ਫਾਰਮੈਟ", "ਵਿੱਚ", "ਜਮ੍ਹਾਂ", "ਕਰਵਾਈਆਂ", "ਜਾਣੀਆਂ", "ਚਾਹੀਦੀਆਂ", "ਹਨ", "।" ]

[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "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", "ਪੰਜਾਬ", "ਸਰਕਾਰ", "ਖ਼ਿਲਾਫ਼", "ਨਾਅਰੇਬਾਜ਼ੀ", "ਕੀਤੀ", "ਅਤੇ", "ਪੁਤਲਾ", "ਸਾੜਿਆ", "।" ]

[ "O", "B-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਅਮਰੀਕਾ", "ਸਥਿਤ", "ਥਿੰਕ", "ਟੈਂਕ", "38", "ਨੌਰਥ", "ਦੁਆਰਾ", "ਸਮੀਖਿਆ", "ਕੀਤੀ", "ਗਈ", "ਸੈਟੇਲਾਈਟ", "ਦੀਆਂ", "ਤਸਵੀਰਾਂ", "ਵਿੱਚ", "ਪਿਛਲੇ", "ਹਫਤੇ", "ਵੋਨਸਨ", "ਦੇ", "ਇੱਕ", "ਸਟੇਸ਼ਨ", "ਤੇ", "ਕਿਮ", "ਦੀ", "ਇੱਕ", "ਰੇਲ", "ਸ਼ਾਇਦ", "ਦਿਖਾਈ", "ਗਈ", "ਸੀ", "." ]

[ "O", "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "B-PER", "O", "O", "O", "O", "O", "O", "O", "O" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਵਿਸ਼ਵ", "ਹਿੰਦੂ", "ਪ੍ਰੀਸ਼ਦ", "(", "ਵੀਐਚਪੀ", ")", "ਨੇ", "ਇੱਥੇ", "ਰਾਮ", "ਮੰਦਰ", "ਦੀ", "ਉਸਾਰੀ", "ਲਈ", "ਵਰਤੇ", "ਜਾਣ", "ਵਾਲੇ", "ਪੱਥਰ", "ਇਕੱਠੇ", "ਕਰਨੇ", "ਸ਼ੁਰੂ", "ਕਰ", "ਦਿੱਤੇ", "ਹਨ", "।" ]

[ "B-ORG", "I-ORG", "I-ORG", "O", "B-ORG", "O", "O", "B-LOC", "B-LOC", "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.

[ "ਉਦਯੋਗਾਂ", "ਦੁਆਰਾ", "ਸਥਾਪਿਤ", "ਈ", ".", "ਟੀ", ".", "ਪੀਜ਼", "ਦੀ", "ਜਾਂਚ", "ਲਈ", "ਕਾਰਜ", "-", "ਵਿਧੀ", "ਦੀ", "ਮਜ਼ਬੂਤੀ", "ਲਈ", "ਵੀ", "ਪੰਜਾਬ", "ਪ੍ਰਦੂਸ਼ਣ", "ਕੰਟਰੋਲ", "ਬੋਰਡ", "ਨੂੰ", "ਨਿਰਦੇਸ਼", "ਜਾਰੀ", "ਕੀਤੇ", "ਗਏ", "ਹਨ", "।" ]

[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਮੁੱਖਮੰਤਰੀ", "ਮਹਿਬੂਬਾ", "ਮੁਫਤੀ", "ਨੇ", "ਇਸ", "ਯੋਜਨਾ", "ਦੀ", "ਸ਼ੁਰੂਆਤ", "ਕੀਤੀ", "।" ]

[ "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਉਨ੍ਹਾਂ", "ਕਿਹਾ", "ਕਿ", "ਦੁਨੀਆ", "ਭਾਰਤ", "ਵੱਲ", "ਪੂਰੇ", "ਭਰੋਸੇ", "ਨਾਲ", "ਦੇਖ", "ਰਹੀ", "ਹੈ", "।" ]

[ "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.

[ "[", "ਸਫ਼ੇ", "31", "ਉੱਤੇ", "ਤਸਵੀਰਾਂ", "]", "]" ]

[ "O", "O", "O", "O", "O", "O", "O" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the 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", "ਬਿੱਲ", "ਨੋਟਬੰਦੀ", "ਦੇ", "ਮੁੱਦੇ", "'", "ਤੇ", "ਹੰਗਾਮੇ", "ਵਿਚਕਾਰ", "ਕਿਰਤ", "ਮੰਤਰੀ", "ਬੰਡਾਰੂ", "ਦੱਤਾਤ੍ਰੇਅ", "ਨੇ", "ਪੇਸ਼", "ਕੀਤਾ", "ਸੀ", "।" ]

[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਪੀਵੀਆਰ", "ਸਿਨੇਮਾ", "ਦੇ", "ਮੈਨੇਜਰ", "ਉਂਕਾਰ", "ਸਿੰਘ", "ਨੇ", "ਦੱਸਿਆ", "ਕਿ", "ਉਨ੍ਹਾਂ", "ਆਪਣੇ", "ਗੁੜਗਾਉਂ", "ਵਿਚਲੇ", "ਹੈੱਡ", "ਆਫ਼ਿਸ", "ਨੂੰ", "ਸੂਚਿਤ", "ਕਰ", "ਦਿੱਤਾ", "ਹੈ", "ਕਿ", "ਉਹ", "ਇਹ", "ਫ਼ਿਲਮ", "ਨਾ", "ਚਲਾਉਣ", "।" ]

[ "B-ORG", "I-ORG", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "(", "ੳ", ")", "ਸਾਨੂੰ", "ਇਹ", "ਸਿੱਟਾ", "ਕਿਉਂ", "ਨਹੀਂ", "ਕੱਢਣਾ", "ਚਾਹੀਦਾ", "ਹੈ", "ਕਿ", "ਮਸੀਹ", "ਇਜਾਜ਼ਤੀ", "ਹੈ", "?" ]

[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "O", "O", "O" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਇਸ", "ਸੂਬੇ", "ਦੀ", "ਰਾਜਧਾਨੀ", "ਅਸਦਾਬਾਦ", "ਹੈ", "।" ]

[ "O", "O", "O", "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.

[ "ਅਭਿਨਵ", "ਬਿੰਦਰਾ", "ਅਤੇ", "ਦੀਪਕ", "ਰਾਓ", "ਨੂੰ", "ਵੀ", "ਸਨਮਾਨਿਤ", "ਕੀਤਾ", "ਗਿਆ", "ਸੀ", "।" ]

[ "B-PER", "I-PER", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਹਾਰਦਿਕ", "ਨੇ", "ਲੋਕਾਂ", "ਦੀ", "ਆਵਾਜ਼", "ਬੁਲੰਦ", "ਕੀਤੀ", "ਹੈ", ",", "ਉਨ੍ਹਾਂ", "ਲਈ", "ਨੌਕਰੀਆਂ", "ਮੰਗੀਆਂ", "ਹਨ", "ਅਤੇ", "ਸਕਾਲਰਸ਼ਿਪ", "ਦੀ", "ਮੰਗ", "ਕੀਤੀ", "ਹੈ", "।" ]

[ "B-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਪਟਿਆਲੇ", "ਤੋਂ", "ਬਠਿੰਡਾ", "ਜਾਂਦਿਆਂ", "ਰਾਹ", "ਵਿੱਚ", "ਮੈਂ", "ਇੱਕ", "ਦਿਲਖਿੱਚਵਾਂ", "ਰੰਗਦਾਰ", "ਕੰਧ", "ਪੋਸਟਰ", "ਦੇਖਿਆ", "।" ]

[ "B-LOC", "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.

[ "ਪੰਜਾਬ", ",", "ਹਰਿਆਣਾ", "ਅਤੇ", "ਚੰਡੀਗੜ੍ਹ", "ਨੂੰ", "ਅਪਰੇਸ਼ਨ", "ਦੌਰਾਨ", "ਹੋਏ", "ਖਰਚੇ", "ਦੀ", "ਰਿਪੋਰਟ", "ਦਾਖਲ", "ਕਰਨ", "ਦੇ", "ਨਿਰਦੇਸ਼", "ਦਿੱਤੇ", "ਹਨ", "।" ]

[ "B-LOC", "O", "B-LOC", "O", "B-LOC", "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.

[ "ਆਈਟੀਬੀਪੀ", "ਨੇ", "ਜਵਾਨਾਂ", "ਲਈ", "ਪਹਿਲੀ", "ਵਾਰ", "ਸ਼ੁਰੂ", "ਕੀਤੀ", "ਆਨਲਾਈਨ", "ਸ਼ਰਾਬ", "ਵੰਡ", "ਵਿਵਸਥਾ" ]

[ "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.

[ "ਮੁੱਖ", "ਮਹਿਮਾਨ", "ਵਜੋਂ", "ਐੱਸ", ".", "ਡੀ", ".", "ਕਾਲਜ", "ਦੀ", "ਮੇਨੈਜਮੈਟ", "ਦੇ", "ਪ੍ਰਧਾਨ", "ਡਾ", "." ]

[ "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.

[ "ਉਦੋਂ", "ਦੇ", "ਤਤਕਾਲੀ", "ਪ੍ਰਧਾਨ", "ਮੰਤਰੀ", "ਪੰਡਿਤ", "ਨਹਿਰੂ", "ਨੇ", "ਭਾਰਤੀ", "ਸੰਸਦ", "ਮੈਂਬਰ", "ਚਮਨ", "ਲਾਲ", "ਨੂੰ", "ਸ਼੍ਰੀ", "ਕੇਤੀਆਤਾ", "ਦੀ", "ਰੱਖਿਆ", "ਟੀਮ", "ਦਾ", "ਮੈਂਬਰ", "ਬਣਨ", "ਲਈ", "ਭੇਜਿਆ", "ਸੀ", "ਜਿੱਥੇ", "ਬਾਅਦ", "ਵਿੱਚ", "ਉਹਨਾਂ", "ਨੂੰ", "ਕੈਦ", "ਕਰ", "ਲਿਆ", "ਗਿਆ", "ਅਤੇ", "1953", "ਵਿੱਚ", "ਕੇਪਨਗੁਰੀਆ", "ਮੁਕੱਦਮੇ", "ਤਹਿਤ", "ਉਹਨਾਂ", "ਤੇ", "ਕੇਸ", "ਚਲਾਇਆ", "ਗਿਆ", "ਸੀ", "।" ]

[ "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "B-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਇਸ", "ਗਰੁੱਪ", "ਦੀ", "ਨੀਂਹ", "2001", "ਵਿੱਚ", "ਚੀਨ", "ਸ਼ਹਿਰ", "ਸ਼ੰਘਾਈ", "'", "ਚ", "ਰੂਸ", ",", "ਚੀਨ", ",", "ਕਿਰਗਿਜ਼", "ਗਣਰਾਜ", ",", "ਕਜ਼ਾਖ਼ਿਸਤਾਨ", ",", "ਤਾਜਿਕਿਸਤਾਨ", "ਅਤੇ", "ਉਜ਼ਬੇਕਿਸਤਾਨ", "ਦੇ", "ਰਾਸ਼ਟਰਪਤੀਆਂ", "ਦੇ", "ਸਿਖਰ", "ਸੰਮੇਲਨ", "ਦੌਰਾਨ", "ਰੱਖੀ", "ਗਈ", "ਸੀ", "।" ]

[ "O", "B-ORG", "O", "O", "O", "O", "O", "O", "B-LOC", "O", "O", "B-LOC", "O", "B-LOC", "O", "B-LOC", "I-LOC", "O", "B-LOC", "O", "B-LOC", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਸ਼੍ਰੋਮਣੀ", "ਅਕਾਲੀ", "ਦਲ", "ਨੇ", "ਆਪਣੀ", "ਮੈਂਬਰ", "ਤੇ", "ਕੇਂਦਰੀ", "ਮੰਤਰੀ", "ਹਰਸਿਮਰਤ", "ਕੌਰ", "ਬਾਦਲ", "ਨਾਲ", "ਕਥਿਤ", "ਤੌਰ", "'", "ਤੇ", "ਦੁਰਵਿਹਾਰ", "ਕਰਨ", "ਦੇ", "ਦੋਸ਼", "ਵਿੱਚ", "ਅੱਜ", "ਰਾਜ", "ਸਭਾ", "ਵਿੱਚ", "ਕਾਂਗਰਸੀ", "ਆਗੂਆਂ", "ਜੈਰਾਮ", "ਰਮੇਸ਼", "ਅਤੇ", "ਰੇਣੂਕਾ", "ਚੌਧਰੀ", "ਖ਼ਿਲਾਫ਼", "ਮਰਿਆਦਾ", "ਮਤਾ", "ਪੇਸ਼", "ਕੀਤਾ", "।" ]

[ "B-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "O", "B-ORG", "O", "B-PER", "I-PER", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਭਾਵਾਤਮਕ", "ਸੰਤੁਲਨ", "ਬਣਾਈ", "ਰੱਖਣ", "ਲਈ", "ਬੁੱਧੀ", "ਦੇ", "ਬਚਨ" ]

[ "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", "ਯਹੋਵਾਹ", "ਨਾਲ", "ਦੋਸਤੀ", "ਕਰ", "ਸਕਦੇ", "ਹਨ", "ਅਤੇ", "ਹਮੇਸ਼ਾ", "ਲਈ", "ਜੀਉਣ", "ਦੀ", "ਤੇ", "ਪਰਮੇਸ਼ੁਰ", "ਦੇ", "ਜਸ", "ਗਾਉਣ", "ਦੀ", "ਉਮੀਦ", "ਰੱਖ", "ਸਕਦੇ", "ਹਨ", "।" ]

[ "O", "B-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਗ੍ਰਹਿ", "ਮੰਤਰਾਲਾ", "ਵੱਡੀ", "ਗਿਣਤੀ", "ਵਿੱਚ", "ਵਿਦਿਆਰਥੀਆਂ", "ਦੇ", "ਹਿਤਾਂ", "ਨੂੰ", "ਧਿਆਨ", "ਵਿੱਚ", "ਰੱਖਦੇ", "ਹੋਏ", ",", "10ਵੀਂ", "ਅਤੇ", "12ਵੀਂ", "ਦੀਆਂ", "ਬੋਰਡ", "ਪ੍ਰੀਖਿਆਵਾਂ", "ਕਰਵਾਉਣ", "ਲਈ", "ਲੌਕਡਾਊਨ", "ਉਪਾਵਾਂ", "ਵਿੱਚ", "ਛੂਟ", "ਦਿੱਤੀ", "ਗਈ", "ਹੈ", ":", "ਸ਼੍ਰੀ", "ਅਮਿਤ", "ਸ਼ਾਹ", "ਵੱਡੀ", "ਗਿਣਤੀ", "ਵਿੱਚ", "ਵਿਦਿਆਰਥੀਆਂ", "ਦੇ", "ਅਕਾਦਮਿਕ", "ਹਿਤਾਂ", "ਨੂੰ", "ਧਿਆਨ", "ਵਿੱਚ", "ਰੱਖਦੇ", "ਹੋਏ", ",", "ਇਹ", "ਫੈਸਲਾ", "ਲਿਆ", "ਗਿਆ", "ਹੈ", "ਕਿ", "ਲੌਕਡਾਊਨ", "ਉਪਾਵਾਂ", "ਤੋਂ", "10ਵੀਂ", "ਅਤੇ", "12ਵੀਂ", "ਦੀ", "ਬੋਰਡ", "ਪ੍ਰੀਖਿਆ", "ਕਰਵਾਉਣ", "ਦੀ", "ਛੂਟ", "ਦੇ", "ਦਿੱਤੀ", "ਜਾਏ", "।" ]

[ "B-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "\"", "ਇੱਕ", "ਹੋਰ", "ਸਿੱਕੇ", "'", "ਤੇ", "\"", "\"", "ਉਸਮਾਨ", "ਬਿਨ", "ਅਰਤੂਰਰੂਲ", "ਬਿਨ", "ਗਨਦੂਜ਼", "ਅਲਪ", "\"", "\"", "ਪੜ੍ਹਿਆ", "ਜਾਂਦਾ", "ਹੈ", ",", "ਹਾਲਾਂਕਿ", "ਅਰਤੂਗਰੁਲ", "ਰਵਾਇਤੀ", "ਤੌਰ", "'", "ਤੇ", "ਸੁਲੇਮਾਨ", "ਸ਼ਾਹ", "ਦਾ", "ਪੁੱਤਰ", "ਮੰਨਿਆ", "ਜਾਂਦਾ", "ਹੈ", "।", "\"" ]

[ "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "O", "B-PER", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "B-PER", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "(", "ਅ", ")", "ਯਹੋਵਾਹ", "ਨੇ", "ਹਿਜ਼ਕੀਯਾਹ", "ਨੂੰ", "ਮਾਫ਼", "ਕਿਉਂ", "ਕਰ", "ਦਿੱਤਾ", "?" ]

[ "O", "O", "O", "B-PER", "O", "O", "O", "O", "O", "O", "O", "O" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਲੇਖਕ", ",", "ਜੂਲੀਆ", "ਡੌਨਲਡਸਨ" ]

[ "O", "O", "B-PER", "I-PER" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਇਸ", "ਤੋਂ", "ਇਲਾਵਾ", ",", "ਮਾਈਲਾਬ", "ਇਕਲੌਤੀ", "ਭਾਰਤੀ", "ਕੰਪਨੀ", "ਹੈ", "ਜਿਸ", "ਨੇ", "ਆਈਸੀਐਮਆਰ", "ਮੁਲਾਂਕਣ", "ਵਿਚ", "100", "ਪ੍ਰਤੀਸ਼ਤ", "ਸੰਵੇਦਨਸ਼ੀਲਤਾ", "ਅਤੇ", "ਵਿਸ਼ੇਸ਼ਤਾ", "ਪ੍ਰਾਪਤ", "ਕੀਤੀ", "।" ]

[ "O", "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਉਨ੍ਹਾਂ", "ਕਿਹਾ", "ਕਿ", "ਇਸ", "ਦਾ", "ਅਰਥ", "ਇਹ", "ਹੋਇਆ", "ਕਿ", "ਦਿੱਲੀ", "'", "ਚ", "ਪੋਲਟਰੀ", "ਪੰਛੀਆਂ", "'", "ਚ", "ਏਵੀਅਨ", "ਫ਼ਲੂ", "ਨਹੀਂ", "ਹੈ", "।" ]

[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਫੌਜੀ", "ਮੁਖੀ", "ਕਮਰ", "ਜਾਵੇਦ", "ਬਾਜਵਾ", "ਨੇ", "ਫੌਜ", "ਨੂੰ", "ਬਚਾਅ", "ਕਾਰਜਾਂ", "ਵਿੱਚ", "ਸਿਵਲ", "ਪ੍ਰਸ਼ਾਸਨ", "ਦੀ", "ਮਦਦ", "ਕਰਨ", "ਦਾ", "ਹੁਕਮ", "ਦਿੱਤਾ", "ਸੀ", "।" ]

[ "O", "O", "B-PER", "I-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਕੈਪਟਨ", "ਅਮਰਿੰਦਰ", "ਸਿੰਘ", "ਨੇ", "ਕਿਹਾ", "ਕਿ", "ਇਹ", "ਮੁਹਿੰਮ", "ਬਾਸਮਤੀ", "ਅਤੇ", "ਖੇਤੀ", "ਰਸਾਇਣਾਂ", "ਦੀ", "ਢੁਕਵੀ", "ਵਰਤੋਂ", "ਕਰਨ", "ਲਈ", "ਕਿਸਾਨਾਂ", "ਨੂੰ", "ਜਾਗਰੂਕ", "ਕਰਨ", "ਵਾਸਤੇ", "ਸ਼ੁਰੂ", "ਕੀਤੀ", "ਗਈ", "ਸੀ", "।" ]

[ "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" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਮੇਰੇ", "ਬਚਪਨ", "ਨੂੰ", "ਬਹੁਤ", "ਦਿਲਚਸਪ", "ਬਣਾਉਣ", "ਲਈ", "ਧੰਨਵਾਦ", "." ]

[ "O", "O", "O", "O", "O", "O", "O", "O", "O" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਇਨ੍ਹਾਂ", "ਪ੍ਰੋਜੈਕਟਾਂ", "ਨਾਲ", "ਸ਼ਹਿਰ", "ਵਿੱਚ", "ਮੈਟਰੋ", "ਬੁਨਿਆਦੀ", "ਢਾਂਚੇ", "ਨੂੰ", "ਹੁਲਾਰਾ", "ਮਿਲੇਗਾ", "ਅਤੇ", "ਹਰੇਕ", "ਮੁੰਬਈ", "ਵਾਸੀ", "ਲਈ", "ਸੁਰੱਖਿਅਤ", ",", "ਤੇਜ਼", "ਅਤੇ", "ਬਿਹਤਰ", "ਆਵਾਜਾਈ", "ਦੇ", "ਸਾਧਨ", "ਉਪਲੱਬਧ", "ਹੋਣਗੇ", "।" ]

[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਇਸ", "ਬੈਠਕ", "'", "ਚ", "ਪ੍ਰਧਾਨ", "ਮੰਤਰੀ", "ਨਰਿੰਦਰ", "ਮੋਦੀ", "ਦੇ", "ਵੀ", "ਮੌਜੂਦ", "ਰਹਿਣ", "ਦੀ", "ਸੰਭਾਵਨਾ", "ਹੈ", "।" ]

[ "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਜੈ", "ਜਗਨਨਾਥ", "!", "\"", "-", "ਸ਼੍ਰੀ", "ਅਮਿਤ", "ਸ਼ਾਹ", "ਕੇਂਦਰੀ", "ਗ੍ਰਹਿ", "ਮੰਤਰੀ", "ਸ਼੍ਰੀ", "ਅਮਿਤ", "ਸ਼ਾਹ", "ਨੇ", "ਅੱਜ", "ਲੋਕਾਂ", "ਨੂੰ", "ਜਗਨਨਾਥ", "ਰਥ", "ਯਾਤਰਾ", "ਦੀਆਂ", "ਸ਼ੁਭਕਾਮਨਾਵਾਂ", "ਦਿੱਤੀਆਂ", "ਹਨ", "।" ]

[ "B-PER", "I-PER", "I-PER", "I-PER", "I-PER", "I-PER", "I-PER", "I-PER", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "1984", "ਦੇ", "ਦੰਗੇ", ":", "ਸੁਪਰੀਮ", "ਕੋਰਟ", "ਨੇ", "199", "ਬੰਦ", "ਕੇਸਾਂ", "ਦੀਆਂ", "ਫਾਈਲਾਂ", "ਮੰਗੀਆਂ" ]

[ "O", "O", "O", "O", "B-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਫੇਸਬੁੱਕ", "ਦੀ", "ਮਲਕੀਅਤ", "ਵਾਲੇ", "ਇੰਸਟਾਗ੍ਰਾਮ", "ਨੇ", "ਆਪਣੀ", "ਨਵੀਂ", "ਵੀਡੀਓ", "-", "ਸੰਗੀਤ", "ਦੇ", "ਰੀਮਿਕਸ", "ਵਿਸ਼ੇਸ਼ਤਾ", "ਰੀਲਜ਼", "ਦਾ", "ਵਿਸਥਾਰ", "ਕੀਤਾ", "ਹੈ", ",", "ਜੋ", "ਚੀਨੀ", "ਛੋਟਾ", "ਵੀਡੀਓ", "ਬਣਾਉਣ", "ਵਾਲੀ", "ਐਪ", "ਟਿੱਕਟੋਕ", "ਤੋਂ", "ਪ੍ਰੇਰਣਾ", "ਲੈਂਦਿਆਂ", "ਫਰਾਂਸ", "ਅਤੇ", "ਜਰਮਨੀ", "ਤੱਕ", "ਪਹੁੰਚਦਾ", "ਹੈ", "." ]

[ "O", "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "O", "O", "O", "B-LOC", "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.

[ "□", "ਅਸੀਂ", "ਕਿਉਂ", "ਕਹਿ", "ਸਕਦੇ", "ਹਾਂ", "ਕਿ", "ਨੂਹ", "ਅਤੇ", "ਉਸ", "ਦਾ", "ਪਰਿਵਾਰ", "ਜਲ", "-", "ਪਰਲੋ", "ਦੇ", "ਲਈ", "ਤਿਆਰ", "ਸੀ", "?" ]

[ "O", "O", "O", "O", "O", "O", "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.

[ "ਇਸ", "ਮਗਰੋਂ", "ਭਾਰਤ", "ਨੂੰ", "ਸਾਰੀਆਂ", "ਓਆਈਸੀ", "ਬੈਠਕਾਂ", "'", "ਚੋਂ", "ਬਾਹਰ", "ਰੱਖਿਆ", "ਗਿਆ", "।" ]

[ "O", "O", "B-LOC", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਪੈਰਿਸ", ",", "ਏਜੰਸੀਆਂ" ]

[ "O", "O", "B-LOC" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਮਿਜ਼ੋਰਮ", "-", "ਮਿਜ਼ੋਰਮ", "ਨੇ", "ਇੰਡੀਅਨ", "ਕੌਂਸਲ", "ਆਵ੍", "ਮੈਡੀਕਲ", "ਰਿਸਰਚ", "ਤੋਂ", "1800", "ਨੋਵੇਲ", "ਕੋਰੋਨਾ", "ਟੈਸਟਿੰਗ", "ਕਿੱਟਾਂ", "ਹਾਸਿਲ", "ਕੀਤੀਆਂ", "।", "।" ]

[ "B-LOC", "O", "B-LOC", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "1997", "'", "ਚ", "ਮੁੱਖ", "ਮੰਤਰੀ", "ਬਣਨ", "ਸਮੇਂ", "ਪ੍ਰਕਾਸ਼", "ਸਿੰਘ", "ਬਾਦਲ", "ਦੇ", "ਪਹਿਲੇ", "ਮੰਤਰੀ", "ਮੰਡਲ", "ਦਾ", "ਇਹ", "ਫੈਸਲਾ", "ਸੀ", "ਕਿ", "ਕਿਸਾਨਾਂ", "ਨੂੰ", "ਮੁਫ਼ਤ", "ਬਿਜਲੀ", "-", "ਪਾਣੀ", "ਦਿੱਤਾ", "ਜਾਏਗਾ", "।" ]

[ "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" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਰਾਸ਼ਟਰੀ", "ਪਲਾਈਵੁੱਡ", "ਇੰਡਸਟਰੀਜ਼", "ਲਿਮਟਿਡ" ]

[ "B-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.

[ "ਪੁਲਿਸ", "ਨੂੰ", "ਮੌਕੇ", "ਤੋਂ", "ਕੋਈ", "ਖ਼ੁਦਕੁਸ਼ੀ", "ਨੋਟ", "ਨਹੀਂ", "ਮਿਲਿਆ", "।" ]

[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਇਸ", "ਫਿਲਮ", "ਦਾ", "ਨਿਰਦੇਸ਼ਨ", "ਅੰਬਰਦੀਪ", "ਸਿੰਘ", "ਕਰਨਗੇ", "।" ]

[ "O", "O", "O", "O", "B-PER", "I-PER", "O", "O" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਮਿਜ਼ੋਰਮ", "-", "ਆਈਸੀਐੱਮਆਰ", "-", "ਐੱਨਆਈਐੱਮਆਰ", "ਤੋਂ", "ਦਵਾਈਆਂ", "ਦੇ", "9", "ਡੱਬੇ", "ਭਾਰਤੀ", "ਵਾਯੂ", "ਸੈਨਾ", "ਦੇ", "ਜਹਾਜ਼", "ਰਾਹੀਂ", "ਆਇਜ਼ਵਾਲ", "ਪਹੁੰਚੇ", "।" ]

[ "O", "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "B-LOC", "O", "B-ORG", "O", "O", "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.

[ "ਪ੍ਰਧਾਨ", ",", "ਸ਼੍ਰੋਮਣੀ", "ਗੁਰਦੁਆਰਾ", "ਪ੍ਰਬੰਧਕ", "ਕਮੇਟੀ", "।" ]

[ "O", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "O" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਬੰਗਲਾਦੇਸ਼", "ਕ੍ਰਿਕਟ", "ਬੋਰਡ", "ਨੇ", "ਲਾਲਮਾਟੀਆ", "ਕਲੱਬ", "ਦੇ", "ਸੁਜੋਨ", "ਮਹਿਮੂਦ", "ਨੂੰ", "ਖੇਡ", "ਨੂੰ", "ਬਦਨਾਮ", "ਕਰਨ", "ਦਾ", "ਦੋਸ਼ੀ", "ਪਾਇਆ", "।" ]

[ "B-ORG", "I-ORG", "I-ORG", "O", "B-ORG", "I-ORG", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਚੰਡੀਗੜ੍ਹ", ":", "ਪੰਜਾਬ", "ਤੇ", "ਹਰਿਆਣਾ", "ਹਾਈ", "ਕੋਰਟ", "ਨੇ", "ਪੰਜਾਬ", "ਯੂਨੀਵਰਸਿਟੀ", "ਨੂੰ", "ਆਪਣੇ", "ਸਾਰੇ", "ਵਿਭਾਗਾਂ", "ਵਿਚ", "ਕੁੜੀਆਂ", "ਲਈ", "ਕੋਟੇ", "ਦਾ", "ਪ੍ਰਬੰਧ", "ਰੱਖਣ", "ਲਈ", "ਆਖਿਆ", "ਹੈ", "।" ]

[ "O", "O", "B-LOC", "O", "B-LOC", "O", "O", "O", "B-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "'", "ਬੇਬੀਮੂਨ", "'", "ਮਨਾਉਣ", "ਪ੍ਰੈਗਨੈਂਟ", "ਪਤਨੀ", "ਨਾਲ", "ਕੈਨੇਡਾ", "ਨਿਕਲੇ", "ਕਪਿਲ", "ਸ਼ਰਮਾ" ]

[ "O", "O", "O", "O", "O", "O", "O", "B-LOC", "O", "B-PER", "I-PER" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "'", "ਭਾਰਤੀ", "ਕਿਸਾਨ", "ਯੂਨੀਅਨ", "ਦੇ", "ਪ੍ਰਧਾਨ", "ਬਲਬੀਰ", "ਸਿੰਘ", "ਰਾਜੇਵਾਲ", "ਨੇ", "ਦਾਅਵਾ", "ਕੀਤਾ", "ਕਿ", "ਪੰਜਾਬ", "ਅਤੇ", "ਹੋਰ", "ਰਾਜਾਂ", "ਵਿਚ", "ਕਿਸਾਨਾਂ", "ਦੇ", "ਪ੍ਰਦਰਸ਼ਨ", "ਨੂੰ", "ਚੰਗਾ", "ਹੁੰਗਾਰਾ", "ਮਿਲਿਆ", "ਹੈ", "।" ]

[ "O", "B-ORG", "I-ORG", "I-ORG", "O", "O", "B-PER", "I-PER", "I-PER", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਸੜਕ", "ਹਾਦਸੇ", "ਵਿਚ", "ਸਾਬਕਾ", "ਜੱਜ", "ਦੀ", "ਮੌਤ" ]

[ "O", "O", "O", "O", "O", "O", "O" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਪੰਜਾਬ", "ਸਰਕਾਰ", "ਇਸ", "ਸਪੇਨਿਸ਼", "ਨਿਵੇਸ਼", "ਨੂੰ", "ਸਾਂਭਣ", "ਵਿਚ", "ਸਫ਼ਲ", "ਰਹੀ", "।" ]

[ "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.

[ "ਮਹਿਲਾ", "ਪੱਤਰਕਾਰ", "ਐਲੀਸਨ", "ਪਾਰਕਰ", "(", "24", ")", "ਅਤੇ", "ਕੈਮਰਾਮੈਨ", "ਐਡਮ", "ਵਾਰਡ", "(", "27", ")", "ਮੋਨੇਟਾ", "'", "ਚ", "ਇੰਟਰਵਿਊ", "ਕਰ", "ਰਹੇ", "ਸਨ", "।" ]

[ "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" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਬੀਐਸਐਫ਼", "ਵੱਲੋਂ", "ਸਰਹੱਦ", "ਤੋਂ", "30", "ਕਰੋੜ", "ਦੀ", "ਹੈਰੋਇਨ", "ਬਰਾਮਦ" ]

[ "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.

[ "ਐਨ", "ਵੋਹਰਾ", "ਨੇ", "ਅੱਜ", "ਪਹਿਲੀ", "ਤੇ", "ਦੂਜੀ", "ਵੱਡੀ", "ਪਾਰਟੀ", "ਰਹੀਆਂ", "ਪੀਡੀਪੀ", "ਤੇ", "ਭਾਜਪਾ", "ਨੂੰ", "ਸੂਬੇ", "'", "ਚ", "ਸਰਕਾਰ", "ਬਣਾਉਣ", "ਬਾਰੇ", "ਚਰਚਾ", "ਲਈ", "ਬੁਲਾਇਆ", "।" ]

[ "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" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਉਨ੍ਹਾਂ", "ਦੱਸਿਆ", "ਕਿ", "ਸ਼ਾਇਦ", "ਮ੍ਰਿਤਕ", "ਦਾ", "ਕਤਲ", "ਕਿਤੇ", "ਹੋਰ", "ਕੀਤਾ", "ਗਿਆ", "ਹੈ", "ਤੇ", "ਲਾਸ਼", "ਨੂੰ", "ਇਥੇ", "ਸੁੱਟ", "ਦਿੱਤਾ", "ਗਿਆ", "ਹੈ", "।" ]

[ "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.

[ "ਪੁਲਿਸ", "ਨੇ", "ਗੁਰਪ੍ਰੀਤ", "ਸਿੰਘ", "ਗਿੱਲ", "ਕਲਕੱਤੇ", "ਵਾਲਾ", "ਅਤੇ", "ਉਸ", "ਦੇ", "ਅਣਪਛਾਤੇ", "ਸਾਥੀ", "ਖਿਲਾਫ", "ਕੇਸ", "ਦਰਜ", "ਕੀਤਾ", "ਹੈ", "।" ]

[ "O", "O", "B-PER", "I-PER", "I-PER", "I-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਡੀਵੀਸੀ", "ਕੋਰਟ" ]

[ "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.

[ "ਆਯੁਰਵੈਦਿਕ", "ਸੰਸਥਾ" ]

[ "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.

[ "ਉਹ", "ਅਭਿਨੇਤਰੀ", "ਪੂਜਾ", "ਰੂਪਰੇਲ", "ਦੀ", "ਛੋਟੀ", "ਭੈਣ", "ਹੈ", "।" ]

[ "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਉਨ੍ਹਾਂ", "ਦੱਸਿਆ", "ਕਿ", "ਐਨ", ".", "ਆਰ", ".", "ਆਈ", ".", "ਡੈਲੀਗੇਟ", "ਅਮਰੀਕਾ", ",", "ਕੈਨੇਡਾ", ",", "ਇੰਗਲੈਂਡ", ",", "ਆਸਟਰੇਲੀਆ", ",", "ਨਿਊਜ਼ੀਲੈਂਡ", ",", "ਦੁਬਈ", ",", "ਮਲੇਸ਼ੀਆ", ",", "ਸਿੰਗਾਪੁਰ", ",", "ਨਾਰਵੇ", ",", "ਇਟਲੀ", ",", "ਅਰਜਨਟੀਨਾ", ",", "ਬ੍ਰਾਜ਼ੀਲ", ",", "ਤਨਜਾਨੀਆ", ",", "ਕੀਨੀਆ", ",", "ਨਾਈਜੀਰੀਆ", ",", "ਪਾਕਿਸਤਾਨ", ",", "ਅਫਗਾਨਿਸਤਾਨ", "ਤੇ", "ਨੇਪਾਲ", "ਤੋਂ", "ਸ਼ਿਰਕਤ", "ਕਰ", "ਰਹੇ", "ਹਨ", "।" ]

[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "O", "B-LOC", "O", "B-LOC", "O", "B-LOC", "O", "B-LOC", "O", "O", "O", "B-LOC", "O", "B-LOC", "O", "B-LOC", "O", "O", "O", "O", "O", "B-LOC", "O", "B-LOC", "O", "B-LOC", "O", "B-LOC", "O", "B-LOC", "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.

[ "ਸ੍ਰੀ", "ਅਨੰਤਨੈਂਡ" ]

[ "B-PER", "I-PER" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਇਹ", "ਹੋਰ", "ਕੁਝ", "ਨਹੀਂ", "ਬਲਕਿ", "ਦਾਦਾਗਿਰੀ", "ਹੈ", "।" ]

[ "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.

[ "ਸਾਇਸ਼ਾ", ",", "ਦਿਲੀਪ", "ਕੁਮਾਰ", "ਦੀ", "ਬੇਗਮ", "ਸਾਇਰਾ", "ਬਾਨੋ", "ਦੀ", "ਗ੍ਰੈਂਡ", "ਨੀਸ", "ਸ਼ਾਹੀਨ", "ਬਾਨੂ", "ਅਤੇ", "ਅਦਾਕਾਰ", "ਸੁਮੀਤ", "ਸਹਿਗਲ", "ਦੀ", "ਬੇਟੀ", "ਹੈ", "।" ]

[ "B-PER", "O", "B-PER", "I-PER", "O", "O", "B-PER", "I-PER", "O", "O", "O", "B-PER", "I-PER", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਇਸੇ", "ਤਰ੍ਹਾਂ", "ਆਪਣੀ", "ਮੁਹਾਰਤ", "ਵਾਲੇ", "ਖੇਤਰਾਂ", "ਵਿੱਚ", "ਇਹ", "ਐਨਜੀਓ", "ਹਰਿਆਣਾ", "ਸਰਕਾਰ", "ਨਾਲ", "ਮਿਲ", "ਕੇ", "ਕੰਮ", "ਕਰ", "ਰਹੀ", "ਹੈ", "।" ]

[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "5", "ਲੱਖ", "ਸਿਹਤ", "ਅਤੇ", "ਵੈੱਲਨੈੱਸ", "ਸੈਂਟਰ", "ਦੇਸ਼", "ਵਿੱਚ", "ਖੋਲ੍ਹੇ", "ਜਾ", "ਰਹੇ", "ਹਨ", "ਅਤੇ", "20,000", "ਹਸਪਤਾਲ", "ਆਯੁਸ਼ਮਾਨ", "ਭਾਰਤ", "ਯੋਜਨਾ", "ਨਾਲ", "ਰਜਿਸਟਰਡ", "ਕੀਤੇ", "ਗਏ", "ਹਨ", "ਅਤੇ", "70", "ਲੱਖ", "ਮਰੀਜ਼ਾਂ", "ਨੇ", "ਮੈਡੀਕਲ", "ਸਹੂਲਤਾਂ", "ਦਾ", "ਲਾਭ", "ਉਠਾਇਆ", "ਹੈ", "।" ]

[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਉਨ੍ਹਾਂ", "ਕਿਹਾ", "ਕਿ", "ਛੱਤੀਸਗੜ੍ਹ", "ਇਕ", "ਅਜਿਹਾ", "ਸੂਬਾ", "ਹੈ", "ਜਿੱਥੇ", "80", "ਫ਼ੀਸਦੀ", "ਛੋਟੇ", "ਉਦਯੋਗ", "ਮੁੜ", "ਸ਼ੁਰੂ", "ਹੋ", "ਗਏ", "ਹਨ", "ਤੇ", "ਲਗਪਗ", "85,000", "ਮਜ਼ਦੂਰ", "ਕੰਮ", "'", "ਤੇ", "ਪਰਤ", "ਆਏ", "ਹਨ", "।" ]

[ "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਗਰੁੱਪ", "ਸੀ", "ਵਿੱਚੋਂ", "ਕਾਜਲ", "ਕਾਟਲ", ",", "ਪੂਨਮ", "ਅਤੇ", "ਰਾਜਿੰਦਰ", "ਕੌਰ", "ਕ੍ਰਮਵਾਰ", "ਪਹਿਲੇ", ",", "ਦੂਜੇ", "ਤੇ", "ਤੀਜੇ", "ਸਥਾਨ", "'", "ਤੇ", "ਰਹੀਆਂ", "।" ]

[ "O", "O", "O", "B-PER", "I-PER", "O", "B-PER", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਜੰਮੂ", "ਕਸ਼ਮੀਰ", "ਵਿੱਚ", "ਫਿਲਹਾਲ", "ਕੋਈ", "ਚੁਣੀ", "ਹੋਈ", "ਸਰਕਾਰ", "ਨਹੀਂ", "ਹੈ", "ਅਤੇ", "ਸੂਬੇ", "ਵਿੱਚ", "ਰਾਸ਼ਟਰਪਤੀ", "ਰਾਜ", "ਲਾਗੂ", "ਹੈ", "।" ]

[ "B-LOC", "I-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਵੱਖ", "-", "ਵੱਖ", "ਕਾਲਜਾਂ", "ਨੇ", "ਇਸ", "ਸੈਮੀਨਾਰ", "ਵਿਚ", "ਹਿੱਸਾ", "ਲਿਆ", "।" ]

[ "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.

[ "ਕੋਟਾ", "ਰੋਟਾ" ]

[ "O", "O" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਉਦਯੋਗ", "ਅਤੇ", "ਬੁਨਿਆਦੀ", "ਢਾਂਚਾ" ]

[ "B-ORG", "I-ORG", "I-ORG", "O" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਕੇਪ", "ਚੇਟ", "CS" ]

[ "B-ORG", "I-ORG", "I-ORG" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਨਰਵਾਣੇ", ",", "ਜਲ", "ਸੈਨਾ", "ਮੁਖੀ", "ਐਡਮਿਰਲ", "ਕਰਮਬੀਰ", "ਸਿੰਘ", "ਤੇ", "ਹਵਾਈ", "ਸੈਨਾ", "ਮੁਖੀ", "ਏਅਰ", "ਚੀਫ਼", "ਮਾਰਸ਼ਲ", "ਆਰ", ".", "ਕੇ", ".", "ਐੱਸ", ".", "ਭਦੌਰੀਆ", "ਮੌਜੂਦ", "ਸਨ", "।" ]

[ "B-PER", "O", "B-ORG", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "I-PER", "O", "O", "O" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਸ਼ਰਮਾ", "(", "43", ")", "ਨੇ", "ਵੈਂਟਵਰਦਿਨ", "ਜ਼ਿਲ੍ਹੇ", "ਦੇ", "ਪੂਰਬੀ", "ਉਪਨਗਰ", "ਸੀਟ", "ਲਈ", "ਆਜ਼ਾਦ", "ਉਮੀਦਵਾਰ", "ਕੇਰੇਨ", "ਫੇਲਪਸ", "ਨੂੰ", "ਹਰਾਇਆ", "।" ]

[ "B-PER", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "O", "O", "O" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਇਹ", "ਇੱਕ", "ਰੋਜ਼ਾਨਾ", "ਸੇਵਾ", "ਹੈ", "ਅਤੇ", "ਪੁਣੇ", "ਦੇ", "ਨੇੜੇ", "ਵਹਿ", "ਨਦੀ", "ਇਦਰਾਣੀ", "ਤੇ", "ਰੱਖਿਆ", "ਗਿਆ", "ਹੈ", "।" ]

[ "O", "O", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਕਮਾਡੈਂਟ", "ਚੌਥੀ", "ਕਮਾਂਡੋ", "ਬਟਾਲੀਅਨ", "ਮੁਹਾਲੀ", "ਗੁਰਪ੍ਰੀਤ", "ਸਿੰਘ", "ਗਿੱਲ", "ਖੰਨਾ", "ਦੇ", "ਨਵੇਂ", "ਜ਼ਿਲ੍ਹਾ", "ਪੁਲੀਸ", "ਮੁਖੀ", "ਹੋਣਗੇ", "।" ]

[ "O", "O", "O", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "B-LOC", "O", "O", "O", "O", "B-ORG", "O", "O" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਨੈਸ਼ਨਲ", "ਅਸੈਂਬਲੀ", "'", "ਚ", "ਬਾਜੌਰ", "ਏਜੰਸੀ", "ਦੀਆਂ", "ਦੋ", "ਸੀਟਾਂ", "ਹਨ", "।" ]

[ "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.

[ "ਹੋਟਲ", "ਦੇ", "ਸਟਾਫ", "ਬਹੁਤ", "ਵਧੀਆ", "ਅਤੇ", "ਦੋਸਤਾਨਾ", "ਹਨ", "." ]

[ "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", "ਮਨੁੱਖਤਾ", "ਦੇ", "ਕੰਮ", "ਨੂੰ", "ਕੀਤੇ", "ਬਿਨਾ", "ਕਦੇ", "ਰਹਿ", "ਨਹੀਂ", "ਸਕਦਾ", "ਹੈ", "।" ]

[ "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.

[ "ਪਾਕਿ", "ਫੌਜ", "ਨਾਲ", "ਟਕਰਾਅ", "ਲਈ", "ਤਿਆਰ", "ਸੀ", "ਓਬਾਮਾ" ]

[ "B-PER", "O", "O", "O", "O", "O", "O", "B-PER" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਸੋਮੰਤ", "ਬ੍ਰਹਮਚਾਰੀ" ]

[ "B-PER", "I-PER" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਨਵਾਜ਼", "ਦੀ", "ਪ੍ਰਧਾਨ", "ਮੰਤਰੀ", "ਅਹੁਦੇ", "ਤੋਂ", "ਅਯੋਗਤਾ", "ਨਿਰਵਿਵਾਦ", "-", "ਪਾਕਿ", "ਸੁਪਰੀਮ", "ਕੋਰਟ" ]

[ "O", "O", "O", "O", "B-PER", "O", "O", "O", "O", "B-ORG", "I-ORG", "I-ORG" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਇਸਰਾਰ", "ਅਹਿਮਦ" ]

[ "B-PER", "I-PER" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਫਤਿਹਗੜ੍ਹ", "ਚੂੜੀਆਂ", ",", "26", "ਮਾਰਚ" ]

[ "B-LOC", "I-LOC", "O", "O", "O" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਹਾਲਾਂਕਿ", ",", "ਇਸ", "ਸੱਟੇਬਾਜ਼ੀ", "ਦਾ", "ਕੋਈ", "ਤੱਥ", "ਆਧਾਰਿਤ", "ਆਧਾਰ", "ਨਹੀਂ", "ਹੈ", "." ]

[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਉਹ", "ਕਿੰਨੀ", "ਖ਼ੁਸ਼", "ਹੈ", "ਕਿ", "ਉਸ", "ਦੇ", "ਪੁੱਤਰ", "ਨੇ", "ਆਪਣੀ", "ਮਰਜ਼ੀ", "ਨਾਲ", "ਯਹੋਵਾਹ", "ਦੀ", "ਸੇਵਾ", "ਕਰਨ", "ਦਾ", "ਫ਼ੈਸਲਾ", "ਕੀਤਾ", "ਹੈ", "।" ]

[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "O", "O", "O", "O", "O", "O", "O", "O" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਵਿਚੋਲਗੀ", "ਪੈਨਲ", "'", "ਚ", "ਅਧਿਆਤਮਕ", "ਗੁਰੂ", "ਸ਼੍ਰੀ", "ਸ਼੍ਰੀ", "ਰਵੀਸ਼ੰਕਰ", "ਤੇ", "ਸੀਨੀਅਰ", "ਵਕੀਲ", "ਸ਼੍ਰੀਰਾਮ", "ਪੰਚੂ", "ਮੈਂਬਰ", "ਹਨ", "।" ]

[ "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "I-PER", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਕਲਿਓਫ਼ਿਸ", "(", "Sanskrit", ":", "ਕ੍ਰੀਪਾ", ")", "ਅਸਾਕਨੀ", "ਲੋਕਾਂ", "ਅਤੇ", "ਅਲੈਗਜੈਂਡਰ", "ਮਹਾਨ", "ਦੇ", "ਵਿਚਾਲੇ", "ਯੁੱਧ", "ਵਿੱਚ", "ਕਲਿਓਫ਼ਿਸ", "ਇੱਕ", "ਮੁੱਖ", "ਹਸਤੀ", "ਸੀ", "।" ]

[ "B-PER", "O", "O", "O", "B-PER", "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.

[ "ਮੈਂਬਰ", "ਪਾਰਲੀਮੈਂਟ", "ਨੇ", "ਜ਼ਿਲੇ", "ਨੂੰ", "ਕੋਵਿਡ", "-", "19", "ਵਿਰੁੱਧ", "ਲੜਾਈ", "ਲੜਨ", "ਲਈ", "25", "ਲੱਖ", "ਰੁਪਏ", "ਦੀ", "ਰਕਮ", "ਦਿੱਤੀ", "ਅਤੇ", "ਦੱਸਿਆ", "ਗਿਆ", "ਕਿ", "ਇਸ", "ਰਕਮ", "ਦੀ", "ਵਰਤੋਂ", "ਜ਼ਿਲ੍ਹੇ", "ਲਈ", "ਐਡਵਾਂਸਡ", "ਲਾਈਫ", "ਸਪੋਰਟ", "(", "ਏ", ".", "ਐੱਲ", ".", "ਐੱਸ", ".", ")", "ਐਂਬੂਲੈਂਸ", "ਲਈ", "ਕੀਤੀ", "ਜਾਏਗੀ", "।" ]

[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "I-ORG", "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.

[ "ਦਰਿਸ਼", "%", "s", "ਰੁੱਝਿਆ", "ਹੋਇਆ", "ਹੈ", "।", "ਇੱਥੇ", "ਪਹਿਲਾਂ", "ਹੀ", "ਹੋਰ", "X", "ਸਰਵਰ", "ਚੱਲ", "ਰਿਹਾ", "ਹੈ", "।" ]

[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਅਸੀਂ", "ਸੂਚਨਾ", "ਅਤੇ", "ਸੰਚਾਰ", "ਟੈਕਨੋਲੋਜੀ", "ਦੇ", "ਉਪਯੋਗ", "ਵਿੱਚ", "ਸੁਰੱਖਿਆ", "ਦੇ", "ਖੇਤਰ", "ਵਿੱਚ", "ਸਹਿਯੋਗ", "'", "ਤੇ", "ਭਾਰਤ", "-", "ਰੂਸ", "ਅੰਤਰਾਸ਼ਟਰੀ", "ਸਮਝੌਤੇ", "ਦੇ", "ਅਧਾਰ", "'", "ਤੇ", "ਇਸ", "ਖੇਤਰ", "ਵਿੱਚ", "ਦੁਵੱਲੀ", "ਗੱਲਬਾਤ", "ਨੂੰ", "ਸਰਗਰਮ", "ਕਰਨ", "ਦੀ", "ਲੋੜ", "ਨੂੰ", "ਸਵੀਕਾਰ", "ਕਰਦੇ", "ਹਾਂ", "।", "ਭਾਰਤ", "ਅਤੇ", "ਰੂਸ", "ਦੇ", "ਲੋਕਾਂ", "ਦੇ", "ਵਿਚਕਾਰ", "ਗਹਿਰੇ", "ਆਪਸੀ", "ਹਿੱਤ", ",", "ਹਮਦਰਦੀ", "ਅਤੇ", "ਸਨਮਾਨ", "ਨੂੰ", "ਧਿਆਨ", "ਵਿੱਚ", "ਰੱਖਦੇ", "ਹੋਏ", "ਅਸੀਂ", "ਸੱਭਿਆਚਾਰ", "ਅਤੇ", "ਖੇਡਾਂ", "ਦੇ", "ਖੇਤਰ", "ਵਿੱਚ", "ਦੁਵੱਲੇ", "ਸੰਪਰਕ", "ਨੂੰ", "ਹੋਰ", "ਵਿਕਸਤ", "ਕਰਨ", "ਵਿੱਚ", "ਯੋਗਦਾਨ", "ਦੇਵਾਂਗੇ", "ਜਿਸ", "ਵਿੱਚ", "ਸਾਲਾਨਾ", "ਤਿਓਹਾਰ", "ਅਤੇ", "ਅਦਾਨ", "-", "ਪ੍ਰਦਾਨ", "ਵੀ", "ਸ਼ਾਮਲ", "ਹੈ", "।" ]

[ "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "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.

[ "ਸੁਦੇਸ਼", "ਸ਼ਰਮਾ", ",", "ਡਾ", "." ]

[ "O", "O", "O", "O", "O" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਫਰਮਵੇਅਰ", "ਅੱਪਗਰੇਡ" ]

[ "O", "O" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਐਡੀਸ਼ਨਲ", "ਸੈਸ਼ਨ", "ਜੱਜ", "ਸੰਦੀਪ", "ਯਾਦਵ", "ਨੇ", "ਰਵੀ", "ਕਪੂਰ", "ਅਮਿਤ", "ਸ਼ੁਕਲਾ", "ਅਤੇ", "ਬਲਜੀਤ", "ਸਿੰਘ", "ਮਲਿਕ", "ਨੂੰ", "ਭਾਰਤੀ", "ਦੰਡਾਵਲੀ", "ਤਹਿਤ", "ਕਤਲ", ",", "ਅਗਵਾ", ",", "ਲੁੱਟਮਾਰ", ",", "ਫਰਜ਼ੀਵਾੜੇ", "ਦਾ", "ਦੋਸ਼ੀ", "ਠਹਿਰਾਇਆ", "ਸੀ", "।" ]

[ "O", "O", "O", "B-PER", "I-PER", "O", "B-PER", "I-PER", "B-PER", "I-PER", "O", "B-PER", "I-PER", "I-PER", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਸਿੰਘ", "ਨੇ", "ਸਿਵਲ", "ਰਜਿਸਟ੍ਰੇਸ਼ਨ", "ਪ੍ਰਣਾਲੀ", "ਖ਼ਾਸ", "ਤੌਰ", "'", "ਤੇ", "ਦੂਰ", "-", "ਦੁਰਾਡੇ", "ਇਲਾਕਿਆਂ", "ਵਿਚ", "ਜਨਮ", "ਅਤੇ", "ਮੌਤ", "ਦੇ", "ਰਜਿਸਟ੍ਰੇਸ਼ਨ", "ਵਿਚ", "ਸੁਧਾਰ", "ਕਰਨ", "ਅਤੇ", "ਅੰਕੜਿਆਂ", "ਦਾ", "ਮੁਲਾਂਕਣ", "ਕਰਨ", "ਲਈ", "ਨਮੂਨਾ", "ਰਜਿਸਟ੍ਰੇਸ਼ਨ", "ਪ੍ਰਣਾਲੀ", "ਨੂੰ", "ਮਜ਼ਬੂਤ", "ਕਰਨ", "ਜਿਵੇਂ", "ਬੱਚਾ", "ਮੌਤ", "ਦਰ", ",", "ਮਾਂ", "ਮੌਤ", "ਦਰ", "ਅਤੇ", "ਪ੍ਰਜਣਨ", "ਦਰ", "'", "ਤੇ", "ਵੀ", "ਜ਼ੋਰ", "ਦਿਤਾ", "।" ]

[ "B-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਇਸ", "ਤੋਂ", "ਇਲਾਵਾ", "ਉਹ", "ਟਰਾਂਸਜੈਂਡਰ", "ਮੰਤਰਾਲੇ", "ਵਿੱਚ", "ਸਿਟੀ", "ਰਿਫਊਜ", "ਯੂਨਾਇਟਿਡ", "ਚਰਚ", "ਆਫ਼", "ਕ੍ਰਾਈਸਟ", "ਦੇ", "ਨਿਯੁਕਤ", "ਕੀਤੇ", "ਮੰਤਰੀ", "ਅਤੇ", "ਪੁਸ਼ਟੀਵਾਨ", "ਮੰਤਰਾਲਿਆਂ", "ਦੀ", "ਫੈਲੋਸ਼ਿਪ", "ਦੇ", "ਵੈਸਟ", "ਕੋਸਟ", "ਦੇ", "ਖੇਤਰੀ", "ਟਰਾਂਸਸੇਂਟ", "ਮੰਤਰੀ", "ਸੀ", "।" ]

[ "O", "O", "O", "O", "B-ORG", "I-ORG", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O" ]

You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.

[ "ਤਪਾ", "ਮੰਡੀ", ",", "27", "ਅਗਸਤ" ]

[ "B-PER", "O", "O", "O", "O" ]