instructions
stringclasses
1 value
input
sequencelengths
1
100
output
sequencelengths
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.
[ "ਪਾਕਿਸਤਾਨ", "ਦੇ", "ਘੱਟ", "ਗਿਣਤੀ", "ਹਿੰਦੂ", "ਭਾਈਚਾਰੇ", "ਦੇ", "ਆਗੂਆਂ", "ਨੇ", "ਪ੍ਰਧਾਨ", "ਮੰਤਰੀ", "ਨਵਾਜ਼", "ਸ਼ਰੀਫ਼", "ਤੋਂ", "ਮੰਗ", "ਕੀਤੀ", "ਹੈ", "ਕਿ", "ਦੀਵਾਲੀ", "ਮੌਕੇ", "ਜਨਤਕ", "ਛੁੱਟੀ", "ਐਲਾਨੀ", "ਜਾਵੇ", "ਅਤੇ", "ਇਸ", "ਤਿਉਹਾਰ", "ਲਈ", "ਉਨ੍ਹਾਂ", "ਨੂੰ", "ਵਿਸ਼ੇਸ਼", "ਸਹਾਇਤਾ", "ਪੈਕੇਜ", "ਦਿੱਤਾ", "ਜਾਵੇ", "।" ]
[ "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "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", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਪ੍ਰਧਾਨ", "ਮੰਤਰੀ", ",", "ਸ੍ਰੀ", "ਨਰੇਂਦਰ", "ਮੋਦੀ", "ਨੇ", "ਆਪਣੇ", "ਅਕਾਊੁਂਟ", "ਵਿਚ", "ਲੜੀਵਾਰ", "ਕੀਤੇ", "ਟਵੀਟਸ", "ਵਿਚ", "ਇਹ", "ਜਾਣਕਾਰੀ", "ਦਿੱਤੀ", "।", "\"", "ਭਾਰਤ", "ਅਤੇ", "ਅਮਰੀਕਾ", "28", "-", "30", "ਨਵੰਬਰ", ",", "2017", "ਨੂੰ", "ਹੈਦਰਾਬਾਦ", "ਵਿਚ", "ਸਾਂਝੇ", "ਤੌਰ", "'", "ਤੇ", "ਵਿਸ਼ਵ", "ਉੱਦਮਤਾ", "ਸੰਮੇਲਨ", "ਆਯੋਜਿਤ", "ਕਰਨਗੇ", "।" ]
[ "O", "O", "O", "O", "B-PER", "I-PER", "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", "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.
[ "ਕਵੇਸ਼ਨ", "ਵੇਰੋਨੀਸ", "ਹੇਠ", "ਲਿਖੀਆਂ", "ਨਗਰ", "ਪਾਲਿਕਾਵਾਂ", "ਨਾਲ", "ਲੱਗਦੀ", "ਹੈਃ", "ਐਫ਼ੀ", ",", "ਬਾਰਦੋਲਿਨੋ", ",", "ਪੈਸਟਰੇਂਗੋ", ",", "ਰਿਵੋਲੀ", "ਵੇਰੋਨੀਸ", ",", "ਅਤੇ", "ਸੇਂਟ", "'", "ਐਮਬਰੋਗੋ", "ਡੀ", "ਵਾਲਪੋਸੀਲਾ", "ਆਦਿ", "।" ]
[ "B-LOC", "I-LOC", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "O", "B-LOC", "O", "B-LOC", "O", "B-LOC", "I-LOC", "O", "O", "B-LOC", "I-LOC", "I-LOC", "I-LOC", "I-LOC", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਜੋਨਜ਼", "ਨੇ", "ਉਤਪਤ", "ਅਤੇ", "ਮੱਤੀ", "ਦੀ", "ਇੰਜੀਲ", "ਦਾ", "ਤਰਜਮਾ", "ਕੀਤਾ", "ਅਤੇ", "ਗ੍ਰਿਫ਼ਿਥਸ", "ਨੇ", "ਕੂਚ", "ਅਤੇ", "ਲੂਕਾ", "ਦੀ", "ਇੰਜੀਲ", "ਦਾ", "।" ]
[ "B-PER", "O", "B-ORG", "O", "B-PER", "O", "O", "O", "O", "O", "O", "B-PER", "O", "B-ORG", "O", "B-PER", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਛੇਤੀ", "ਹੀ", "ਦੋਵੇਂ", "ਪਾਸਿਆਂ", "ਤੋਂ", "ਗੋਲਾਬਾਰੀ", "ਸ਼ੁਰੂ", "ਹੋਈ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਇਸ", "ਮੌਕੇ", "ਪਰਵੀਨ", "ਕੁਮਾਰ", ",", "ਗੁਰਵਿੰਦਰ", "ਸਿੰਘ", ",", "ਨਰਿੰਦਰ", "ਕੁਮਾਰ", ",", "ਰਾਕੇਸ਼", "ਕੁਮਾਰ", "ਤੇ", "ਰਸਪ੍ਰੀਤ", "ਕੌਰ", "ਹਾਜ਼ਰ", "ਸਨ", "।" ]
[ "O", "O", "B-PER", "I-PER", "O", "B-PER", "I-PER", "O", "B-PER", "I-PER", "O", "B-PER", "I-PER", "O", "B-PER", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਮਈ", "14", "-", "20", "2012" ]
[ "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.
[ "ਇਨ੍ਹਾਂ", "ਵਿੱਚ", "ਪ੍ਰਧਾਨ", "ਮੰਤਰੀ", "ਜੀਵਨ", "ਜੋਤੀ", "ਬੀਮਾ", "ਯੋਜਨਾ", ",", "ਪ੍ਰਧਾਨ", "ਮੰਤਰੀ", "ਸੁਰਕਸ਼ਾ", "ਬੀਮਾ", "ਯੋਜਨਾ", "ਅਤੇ", "ਅਟਲ", "ਪੈਨਸ਼ਨ", "ਯੋਜਨਾ", "ਸ਼ਾਮਲ", "ਹੈ", "।" ]
[ "O", "O", "B-PER", "I-PER", "I-PER", "I-PER", "I-PER", "I-PER", "O", "B-PER", "I-PER", "I-PER", "I-PER", "I-PER", "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.
[ "ਸ਼ਿਖਰ", "ਧਵਨ", "ਦਾ", "ਬਾਹਰ", "ਹੋਣਾ", "ਕੇਐੱਲ", "ਰਾਹੁਲ", "ਲਈ", "ਵੱਡਾ", "ਮੌਕਾ", "ਹੈ", "।" ]
[ "B-PER", "I-PER", "O", "O", "O", "B-PER", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਕਲਾਮ", "ਨੂੰ", "ਸ਼ਰਧਾਂਜਲੀ", "ਵਜੋਂ", "ਲੋਕ", "ਸਭਾ", "ਦਿਨ", "ਭਰ", "ਲਈ", "ਉਠਾਈ" ]
[ "B-PER", "O", "O", "O", "B-ORG", "I-ORG", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਫਿਲਮ", "ਵਿੱਚ", "ਸਲਮਾਨ", "ਖਾਨ", "ਦੇ", "ਨਾਲ", "ਕਟਰੀਨਾ", "ਕੈਫ", ",", "ਦਿਸ਼ਾ", "ਪਟਾਨੀ", ",", "ਤੱਬੂ", "ਅਤੇ", "ਸੁਨੀਲ", "ਗਰੋਵਰ", "ਵੀ", "ਨਜ਼ਰ", "ਆਉਣ", "ਵਾਲੇ", "ਹਨ", "।" ]
[ "O", "O", "B-PER", "B-PER", "O", "O", "B-PER", "I-PER", "O", "B-PER", "B-PER", "I-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.
[ "ਗੂਹਲਾ", "ਚੀਕਾ", ",", "15", "ਦਸੰਬਰ" ]
[ "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.
[ "ਇਹ", "ਨੋਟ", "ਨਾ", "-", "ਤਾਲਾਬੰਦ", "ਹੈ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the 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", "ਕੇਂਦਰੀ", "ਮੰਤਰੀ", "ਹਨ", ",", "ਨਾ", "ਕਿ", "ਜੈ", "ਸ਼ਾਹ", "ਦੇ", "ਚਾਰਟਰਡ", "ਅਕਾਊਂਟੈਂਟ", "ਹਨ", "।" ]
[ "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.
[ "ਚੰਡੀਗੜ•", ",", "ਜੁਲਾਈ", "22", ":", "ਪੰਜਾਬ", "ਸਰਕਾਰ", "ਵਲੋਂ", "ਪੰਜਾਬੀ", "ਯੂਨੀਵਰਸਿਟੀ", ",", "ਪਟਿਆਲਾ", "ਨੂੰ", "ਵਿੱਤੀ", "ਸੰਕਟ", "ਵਿਚੋਂ", "ਬਾਹਰ", "ਕੱਢਣ", "ਲਈ", "ਹਰ", "ਸੰਭਵ", "ਸਹਾਇਤਾ", "ਕੀਤੀ", "ਜਾਵੇਗੀ", "।" ]
[ "B-LOC", "O", "O", "O", "O", "B-ORG", "I-ORG", "O", "B-ORG", "I-ORG", "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.
[ "ਹੋਰ", "ਚਾਰ", "ਮੁਲਜ਼ਮਾਂ", "ਸਾਹਿਲ", "ਅੰਸਾਰੀ", ",", "ਪ੍ਰਕਾਸ਼", "ਕੁਮਾਰ", ",", "ਸੰਤੋਸ਼", "ਮੌਰਿਆ", "ਅਤੇ", "ਸ਼ਿਵਾਜੀ", "ਊਧਵ", "ਦੀ", "ਤਲਾਸ਼", "ਕੀਤੀ", "ਜਾ", "ਰਹੀ", "ਹੈ", "।" ]
[ "O", "O", "O", "B-PER", "I-PER", "O", "B-PER", "I-PER", "O", "B-PER", "I-PER", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "HTML", "ਗੈਲਰੀ", ".", ".", "." ]
[ "B-ORG", "I-ORG", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਪੁਲਸ", "ਨੇ", "ਲਾਸ਼", "ਨੂੰ", "ਕਬਜ਼ੇ", "'", "ਚ", "ਲੈ", "ਕੇ", "ਪੋਸਟਮਾਰਟਮ", "ਲਈ", "ਸਥਾਨਕ", "ਸਿਵਲ", "ਹਸਪਤਾਲ", "ਵਿਖੇ", "ਭੇਜ", "ਦਿੱਤਾ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "I-LOC", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਬੈਂਕ", "ਤੋਂ", "ਪੇਸ਼ਕਸ਼ਾਂ" ]
[ "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.
[ "ਤੜਵੀ", "ਖ਼ੁਦਕੁਸ਼ੀ", "ਕੇਸਃ", "ਤਿੰਨ", "ਮਹਿਲਾ", "ਡਾਕਟਰਾਂ", "ਦੀ", "ਜ਼ਮਾਨਤ", "ਅਰਜ਼ੀ", "ਰੱਦ" ]
[ "B-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਮਿੰਨੀ", "-", "ਕਮਾਂਡਰ", "ਐਪਲਿਟ", "ਫੈਕਟਰੀ" ]
[ "B-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਉੱਤਰੀ", "ਕੋਰੀਆ", "ਅਗਲੇ", "ਹਫ਼ਤੇ", "ਦੱਖਣੀ", "ਨਾਲ", "ਗੱਲਬਾਤ", "ਨੂੰ", "ਰਾਜ਼ੀ" ]
[ "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.
[ "ਸੁਪਰੀਮ", "ਕੋਰਟ", "ਨੇ", "ਅਰੁਣਾਚਲ", "ਪ੍ਰਦੇਸ਼", "ਵਿੱਚ", "ਕਾਂਗਰਸ", "ਸਰਕਾਰ", "ਬਹਾਲ", "ਕਰਦੇ", "ਹੋਏ", "ਰਾਸ਼ਟਰਪਤੀ", "ਸ਼ਾਸਨ", "ਰੱਦ", "ਕਰ", "ਦਿੱਤਾ", "।" ]
[ "B-ORG", "I-ORG", "O", "B-LOC", "I-LOC", "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.
[ "ਵਿਸ਼ਵ", "ਜੰਗਲੀ", "ਫੰਡ" ]
[ "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.
[ "ਇਸ", "ਵਿਚੋਂ", "ਤਕਰੀਬਨ", "8", "ਲੱਖ", "ਵਿਅਕਤੀਗਤ", "ਖਿਤਾਬ", "ਆਂਧਰਾ", "ਪ੍ਰਦੇਸ਼", ",", "ਛਤੀਸ਼ਗੜ੍ਹ", ",", "ਝਾਰਖੰਡ", "ਅਤੇ", "ਉੜੀਸਾ", "ਵਿੱਚ", "ਦਿੱਤੇ", "ਗਏ", "ਹਨ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "B-LOC", "I-LOC", "O", "B-LOC", "O", "B-LOC", "O", "B-LOC", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਇਸ", "ਦੇ", "ਲਈ", "ਆਦੇਸ਼", "ਜਾਰੀ", "ਹੋ", "ਗਏ", "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.
[ "ਤੇਜਸਵਿਨੀ", "ਵਿਅਕਤੀਗਤ", "ਤਗ਼ਮਾ", "ਨਹੀਂ", "ਜਿੱਤ", "ਸਕੀ", ",", "ਪਰ", "ਉਸ", "ਨੇ", "ਕਾਜਲ", "ਸੈਣੀ", "ਅਤੇ", "ਗਾਇਤਰੀ", "ਨਿਤਿਆਨੰਦਮ", "ਨਾਲ", "ਮਿਲ", "ਕੇ", "ਟੀਮ", "ਵਜੋਂ", "ਕਾਂਸੀ", "ਦਾ", "ਤਗ਼ਮਾ", "ਪ੍ਰਾਪਤ", "ਕੀਤਾ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "B-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਇਸੇ", "ਤਰ੍ਹਾਂ", "ਅਰਵਿੰਦ", "ਗੁਪਤਾ", "ਜਿਨ੍ਹਾਂ", "ਨੂੰ", "2018", "ਪਦਮ", "ਸ਼੍ਰੀ", "ਦਿੱਤਾ", "ਗਿਆ", ",", "ਉਨ੍ਹਾਂ", "ਨੇ", "ਵਿਦਿਆਰਥੀਆਂ", "ਨੂੰ", "ਵਿਗਿਆਨਕ", "ਪ੍ਰਯੋਗਾਂ", "ਲਈ", "ਖਿਡੌਣੇ", "ਬਣਾਉਣ", "ਲਈ", "ਘਰੇਲੂ", "ਸਮੱਗਰੀ", "ਅਤੇ", "ਕਚਰਾ", "ਵਰਤ", "ਕੇ", "ਰੱਦੀ", "ਤੋਂ", "ਸਿੱਖਣ", "ਲਈ", "ਪ੍ਰੇਰਿਤ", "ਕੀਤਾ", "।" ]
[ "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" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the 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", "ਮੁਸ਼ਕਿਲ", "ਘੜੀ", "ਵਿੱਚ", "ਮੈਂ", "ਤੁਹਾਨੂੰ", "ਸਾਰਿਆਂ", "ਨੂੰ", "ਵਿਸ਼ਵਾਸ", "ਦਿਵਾਉਂਦਾ", "ਹਾਂ", ",", "ਪੂਰਾ", "ਦੇਸ਼", "ਉਨ੍ਹਾਂ", "ਦੇ", "ਨਾਲ", "ਖੜ੍ਹਾ", "ਹੈ", "।" ]
[ "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.
[ "ਵਟਸਐਪ", "'", "ਤੇ", "ਜਾਅਲੀ", "ਖ਼ਬਰ", "'", "ਚ", "'", "ਕੋਰੋਨਾ", "ਸਹਾਇਤਾ", "ਯੋਜਨਾ", "'", "ਤਹਿਤ", "1,000", "ਰੁਪਏ", "ਦੇਣ", "ਦਾ", "ਦਾਅਵਾ", "ਪੱਤਰ", "ਸੂਚਨਾ", "ਦਫ਼ਤਰ", "(", "ਪੀਆਈਬੀ", ")", "ਦੀ", "'", "ਫੈਕਟ", "ਚੈੱਕ", "ਯੂਨਿਟ", "'", "ਨੇ", "ਅੱਜ", "ਇੱਕ", "ਟਵੀਟ", "ਰਾਹੀਂ", "ਸਪਸ਼ਟ", "ਕੀਤਾ", "ਕਿ", "ਭਾਰਤ", "ਸਰਕਾਰ", "ਕਿਸੇ", "ਨੂੰ", "ਵੀ", "ਅਖੌਤੀ", "'", "ਕੋਰੋਨਾ", "ਸਹਾਇਤਾ", "ਯੋਜਨਾ", "'", "ਤਹਿਤ", "1,000", "ਰੁਪਏ", "ਅਦਾ", "ਨਹੀਂ", "ਕਰ", "ਰਹੀ", "।" ]
[ "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਇਹ", "ਸੱਚੀ", "ਸ਼ਾਂਤੀ", "ਦਾ", "ਵਾਅਦਾ", "ਹੈ", "ਜੋ", "ਪਰਮੇਸ਼ੁਰ", "ਲਿਆਵੇਗਾ", "।" ]
[ "O", "O", "B-PER", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਜਵਾਬ", "ਵਿੱਚ", ",", "ਬੀਜਿੰਗ", ",", "ਵਾਸ਼ਿੰਗਟਨ", "ਡੀਸੀ", ",", "ਤਹਿਰਾਨ", ",", "ਰੋਮ", ",", "ਬਰਲਿਨ", ",", "ਕਾਠਮੰਡੂ", ",", "ਅਬੂ", "ਧਾਬੀ", ",", "ਕਾਬੁਲ", ",", "ਮਾਲੇ", "ਅਤੇ", "ਸਿਯੋਲ", "ਸਥਿਤ", "ਮਿਸ਼ਨਾਂ", "ਦੇ", "ਦਸ", "ਮੁਖੀਆਂ", "ਨੇ", "ਪ੍ਰਧਾਨ", "ਮੰਤਰੀ", "ਅਤੇ", "ਬਾਕੀ", "ਦਰਸ਼ਕਾਂ", "ਨੂੰ", "ਆਪਣੇ", "ਦ੍ਰਿਸ਼ਟੀਕੋਣ", "ਦੀ", "ਜਾਣਕਾਰੀ", "ਦਿੱਤੀ", "।" ]
[ "O", "O", "O", "B-LOC", "O", "B-LOC", "I-LOC", "O", "B-LOC", "O", "B-LOC", "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", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the 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", "ਯਾਤਰਾ", "ਦੌਰਾਨ", "ਪੀਐੱਮ", "ਮੋਦੀ", "ਸਾਹਮਣੇ", "ਧਾਰਮਿਕ", "ਸਵੰਤਰਤਾ", "ਦੇ", "ਮੁੱਦੇ", "ਉਠਾਉਣਗੇ", "ਰਾਸ਼ਟਰਪਤੀ", "ਟਰੰਪ" ]
[ "B-LOC", "O", "O", "O", "B-PER", "O", "O", "O", "O", "O", "O", "O", "B-PER" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਮੁਹਾਲੀ", "ਦੇ", "ਐੱਸਡੀਐੱਮ", "ਜਗਦੀਪ", "ਸਹਿਗਲ", "ਨੇ", "ਮੁੱਖ", "ਮਹਿਮਾਨ", "ਵਜੋਂ", "ਸ਼ਾਮਲ", "ਹੋਏ", "।" ]
[ "B-ORG", "O", "B-ORG", "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.
[ "ਇਸ", "ਲਈ", "ਰਾਜੇ", "ਨੂੰ", "ਦੱਸਣ", "ਤੋਂ", "ਪਹਿਲਾਂ", "ਸਰਦਾਰਾਂ", "ਨੇ", "ਬਾਰੂਕ", "ਨੂੰ", "ਸਲਾਹ", "ਦਿੱਤੀਃ", "\"", "ਜਾਹ", "ਤੂੰ", "ਅਤੇ", "ਯਿਰਮਿਯਾਹ", ",", "ਆਪਣੇ", "ਆਪ", "ਨੂੰ", "ਲੁਕਾ", "ਲਓ", "ਅਤੇ", "ਕੋਈ", "ਨਾ", "ਜਾਣੇ", "ਕਿ", "ਤੁਸੀਂ", "ਕਿੱਥੇ", "ਹੋ", "!", "\"", "-", "ਯਿਰਮਿਯਾਹ", "36:12", "-", "19", "." ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "O", "O", "O", "O", "O", "O", "O", "B-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਇਸ", "ਮੀਟਿੰਗ", "ਵਿੱਚ", "ਮੁੱਖ", "ਮੰਤਰੀ", "ਕੈਪਟਨ", "ਅਮਰਿੰਦਰ", "ਸਿੰਘ", ",", "ਪੰਜਾਬ", "ਮਾਮਲਿਆਂ", "ਦੀ", "ਇੰਚਾਰਜ", "ਆਸ਼ਾ", "ਕੁਮਾਰੀ", "ਤੇ", "ਪੰਜਾਬ", "ਕਾਂਗਰਸ", "ਦੇ", "ਪ੍ਰਧਾਨ", "ਸੁਨੀਲ", "ਜਾਖੜ", "ਹਾਜ਼ਰ", "ਸਨ", "।" ]
[ "B-PER", "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "B-LOC", "O", "O", "O", "B-PER", "I-PER", "O", "B-PER", "I-PER", "I-PER", "I-PER", "I-PER", "I-PER", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਇਸ", "ਮੌਕੇ", "'", "ਤੇ", "ਖੂਨਦਾਨੀਆਂ", "ਨੂੰ", "ਰਿਫਰੈਸਮੈਂਟ", "ਵੀ", "ਦਿੱਤੀ", "ਗਈ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਇਹ", "ਵੀ", "ਫ਼ੈਸਲਾ", "ਲਿਆ", "ਗਿਆ", "ਕਿ", "ਸ਼ਹਿਰੀ", "ਹਵਾਬਾਜ਼ੀ", "ਮੰਤਰਾਲੇ", "ਤੇ", "ਇਸ", "ਦੇ", "ਤਹਿਤ", "ਆਉਣ", "ਵਾਲੇ", "ਸੰਗਠਨਾਂ", "ਵੱਲੋਂ", "ਕੀਤੇ", "ਜਾ", "ਰਹੇ", "ਸੁਧਾਰ", "ਬਾਰੇ", "ਪਹਿਲ", "ਇੱਕ", "ਸਮਾਂਬੱਧ", "ਤਰੀਕੇ", "ਨਾਲ", "ਹੋਣੀ", "ਚਾਹੀਦੀ", "ਹੈ", "।", "ਇਸ", "ਬੈਠਕ", "ਵਿੱਚ", "ਗ੍ਰਹਿ", "ਮੰਤਰੀ", ",", "ਵਿੱਤ", "ਮੰਤਰੀ", ",", "ਰਾਜ", "ਮੰਤਰੀ", "(", "ਸ਼ਹਿਰੀ", "ਹਵਾਬਾਜ਼ੀ", ")", ",", "ਰਾਜ", "ਮੰਤਰੀ", "(", "ਵਿੱਤ", ")", "ਅਤੇ", "ਭਾਰਤ", "ਸਰਕਾਰ", "ਦੇ", "ਵਿਭਿੰਨ", "ਸੀਨੀਅਰ", "ਅਧਿਕਾਰੀ", "ਮੌਜੂਦ", "ਰਹੇ", "।" ]
[ "O", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "O", "O", "B-ORG", "I-ORG", "O", "O", "B-ORG", "O", "O", "B-ORG", "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.
[ "ਆਂਧਰਾ", "ਪ੍ਰਦੇਸ਼", "ਰਾਜ", "ਸਰਕਾਰ" ]
[ "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.
[ "ਇਸ", "ਦੌਰਾਨ", "ਪ੍ਰਧਾਨ", "ਮੰਤਰੀ", "ਨਰਿੰਦਰ", "ਮੋਦੀ", "ਸਮੇਤ", "ਹੋਰ", "ਆਗੂਆਂ", "ਨੇ", "ਦੇਸ਼ਵਾਸੀਆਂ", "ਨੂੰ", "ਨਵੇਂ", "ਸਾਲ", "ਦੀਆਂ", "ਸ਼ੁੱਭਕਾਮਨਾਵਾਂ", "ਦਿੱਤੀਆਂ", "ਹਨ", "।" ]
[ "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਕੇਂਦਰ", "ਸਰਕਾਰ", "ਨੇ", "ਖ਼ਾਸ", "ਕਰ", "ਕੇ", "ਉੱਤਰ", "-", "ਪੂਰਬੀ", "ਰਾਜਾਂ", "ਦੇ", "ਨੌਜਵਾਨਾਂ", "ਵਾਸਤੇ", "'", "ਸਟਾਰਟ", "ਅੱਪਸ", "'", "ਲਈ", "ਉੱਦਮ", "ਫ਼ੰਡ", ",", "ਮਨੀਪੁਰ", "'", "ਚ", "ਸਪੋਰਟਸ", "ਯੂਨੀਵਰਸਿਟੀ", "ਅਤੇ", "ਗੁਵਾਹਾਟੀ", "ਯੂਨੀਵਰਸਿਟੀ", "ਵਿੱਚ", "ਬ੍ਰਹਮਪੁੱਤਰ", "ਅਧਿਐਨ", "ਕੇਂਦਰ", "ਮੁਹੱਈਆ", "ਕਰਵਾਉਣ", "ਜਿਹੀਆਂ", "ਅਨੇਕਾਂ", "ਪਹਿਲਕਦਮੀਆਂ", "ਕੀਤੀਆਂ", "ਹਨ", "।" ]
[ "B-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "O", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "B-ORG", "I-ORG", "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.
[ "ਮਨੀਸ਼", "ਕੌਸ਼ਿਕ", "(", "63", "ਕਿਲੋ", ")", "ਨੇ", "ਸੈਮੀਫਾਈਨਲ", "ਵਿੱਚ", "ਹਾਰ", "ਕੇ", "ਕਾਂਸੀ", "ਦਾ", "ਤਗ਼ਮਾ", "ਹਾਸਲ", "ਕੀਤਾ", "ਸੀ", "।" ]
[ "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਕੈਨੇਡਾ", "ਦੀ", "ਯੂਨੀਵਰਸਿਟੀ", "ਆਫ", "ਟੋਰਾਂਟੋ", "ਮਿਸੀਸਾਗਾ", "ਦੇ", "ਖੋਜ", "ਕਰਤਾਵਾਂ", "ਨੇ", "ਅਰਜਨਟੀਨਾ", ",", "ਚੀਨ", "ਅਤੇ", "ਦੱਖਣੀ", "ਅਫਰੀਕਾ", "ਵਿਚ", "ਖੋਜੀਆਂ", "ਗਈਆਂ", "ਥਾਵਾਂ", "ਬਾਰੇ", "ਇਨ੍ਹਾਂ", "ਅੰਡਿਆਂ", "ਅਤੇ", "ਅੰਡਿਆਂ", "ਦੇ", "ਛਿਲਕਿਆਂ", "ਦੇ", "ਫੋਸਿਲ", "ਅਵਸ਼ੇਸ਼ਾਂ", "ਦਾ", "ਅਧਿਐਨ", "ਕੀਤਾ", "।" ]
[ "B-LOC", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "B-LOC", "O", "B-LOC", "O", "B-LOC", "I-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਨਵੀਂ", "ਦਿੱਲੀ", ",", "20", "ਮਈ" ]
[ "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.
[ "ਓਬਾਮਾ", "ਵਲੋਂ", "ਨਿਖੇਧੀ" ]
[ "B-PER", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਉਨ੍ਹਾਂ", "ਕਿਹਾ", "ਕਿ", "ਤਿੰਨ", "ਸੂਬੇ", "-", "ਆਂਧਰਾ", "ਪ੍ਰਦੇਸ਼", ",", "ਗੁਜਰਾਤ", "ਅਤੇ", "ਕੇਰਲ", "ਮਾਰਚ", "2017", "ਤੱਕ", "100", "%", "ਓਡੀਐੱਫ", "ਦਾ", "ਟੀਚਾ", "ਹਾਸਿਲ", "ਕਰਨ", "ਲਈ", "ਵਚਨਬੱਧ", "ਹਨ", "।" ]
[ "O", "O", "O", "O", "O", "O", "B-LOC", "I-LOC", "O", "B-LOC", "O", "B-LOC", "O", "O", "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਢੋਲ", "ਅਤੇ", "ਤਾਲ", "(", "ਸੰਗੀਤ", ")", "ਦਾ", "ਵੇਦ", "ਯੁੱਗ", "ਦੇ", "ਹਵਾਲਿਆਂ", "ਵਿੱਚ", "ਜ਼ਿਕਰ", "ਹੈ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਐੱਮਐੱਸਐੱਮਈ", "ਟੈਕਨੋਲੋਜੀ", "ਸੈਂਟਰ", "ਭਿਵਾਡੀ", "ਅਤੇ", "ਟੀਸੀ", "ਜਮਸ਼ੇਦਪੁਰ", "ਨੇ", "ਆਈਸੋਲੇਸ਼ਨ", "ਸੈਂਟਰ", "ਬਣਾਉਣ", "ਲਈ", "ਆਪਣੇ", "ਖਾਲੀ", "ਕਮਰਿਆਂ", "ਦੀ", "ਪੇਸ਼ਕਸ਼", "ਕੀਤੀ", "ਹੈ", "।" ]
[ "B-ORG", "I-ORG", "I-ORG", "B-LOC", "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.
[ "ਸਿੰਘ", "ਨੇ", "ਕਿਹਾ", "ਕਿ", "ਪ੍ਰਾਥਮਿਕ", "ਸਿੱਖਿਆ", "ਦੀ", "ਗੁਣਵੱਤਾ", "ਵਿੱਚ", "ਸੁਧਾਰ", "ਕਰਨਾ", ",", "ਉੱਚ", "ਸਿੱਖਿਆ", "ਨੂੰ", "ਲੋਕਾਂ", "ਦੇ", "ਅਨੁਕੂਲ", "ਬਣਾਉਣਾ", "ਅਤੇ", "ਸਿੱਖਿਆ", "ਦੀ", "ਲੋਕਾਂ", "ਤੱਕ", "ਵੱਧ", "ਤੋਂ", "ਵੱਧ", "ਪਹੁੰਚ", "ਵਰਗੇ", "ਮੁੱਖ", "ਮੁੱਦਿਆਂ", "ਦਾ", "ਸਿੱਖਿਆ", "ਪ੍ਰਣਾਲੀ", "ਨੂੰ", "ਸਾਹਮਣਾ", "ਕਰਨਾ", "ਪੈ", "ਰਿਹਾ", "ਹੈ", "।" ]
[ "B-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਸਿੱਕੇ", "'", "ਤੇ", "ਗੁਰੂ", "ਨਾਨਕ", "ਦੇਵ", "ਜੀ", "ਦੇ", "ਜਨਮ", "ਅਸਥਾਨ", "ਨਨਕਾਣਾ", "ਸਾਹਿਬ", "ਦਾ", "ਚਿੱਤਰ", "ਉਕੇਰਿਆ", "ਗਿਆ", "ਹੈ", "।" ]
[ "O", "O", "O", "B-PER", "I-PER", "I-PER", "I-PER", "O", "O", "B-LOC", "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.
[ "ਉਨ੍ਹਾਂ", "ਕਿਹਾ", "ਕਿ", "ਫੂਡ", "ਐਂਡ", "ਡਰੱਗ", "ਐਡਮਿਨਸਟ੍ਰੇਸ਼ਨ", "ਵੱਲੋਂ", "ਪੰਜਾਬ", "ਦੇ", "ਵਸਨੀਕਾਂ", "ਨੂੰ", "ਸੁਰੱਖਿਅਤ", "ਤੇ", "ਪ੍ਰਭਾਵੀ", "ਦਵਾਈਆਂ", "ਮੁਹੱਈਆ", "ਕਰਵਾਉਣ", "ਅਤੇ", "ਸੂਬੇ", "ਵਿੱਚੋਂ", "ਨਸ਼ਿਆਂ", "ਦੀ", "ਲਾਹਨਤ", "ਨੂੰ", "ਜੜੋਂ", "ਉਖਾੜਨ", "ਲਈ", "ਅਣਥੱਕ", "ਯਤਨ", "ਕੀਤੇ", "ਜਾ", "ਰਹੇ", "ਹਨ", "।" ]
[ "O", "O", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "2006", "ਦੇ", "ਸੇਵਾ", "ਸਾਲ", "ਲਈ", "ਸੰਸਾਰ", "ਭਰ", "ਵਿਚ", "ਯਹੋਵਾਹ", "ਦੇ", "ਗਵਾਹਾਂ", "ਦੀ", "ਰਿਪੋਰਟ", "ਦਿਖਾਉਂਦੀ", "ਹੈ", "ਕਿ", "2,48,327", "ਲੋਕਾਂ", "ਨੇ", "ਆਪਣਾ", "ਜੀਵਨ", "ਯਹੋਵਾਹ", "ਨੂੰ", "ਅਰਪਣ", "ਕਰ", "ਕੇ", "ਬਪਤਿਸਮਾ", "ਲਿਆ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-PER", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਲਾਸ਼", "ਨੂੰ", "ਸਿਵਲ", "ਹਸਪਤਾਲ", "ਦੇ", "ਮੁਰਦਾਘਰ", "ਵਿੱਚ", "ਰੱਖ", "ਦਿੱਤਾ", "ਗਿਆ", "ਹੈ", "।" ]
[ "O", "O", "B-LOC", "I-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.
[ "ਸਾਂ", "ਫਰਾਂਸਿਸਕੋ", ",", "4", "ਅਕਤੂਬਰ" ]
[ "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.
[ "ਅਮਰੀਕਾ", "ਨੇ", "ਇਸ", "ਕਦਮ", "ਦੀ", "ਸਖਤ", "ਨਿਖੇਧੀ", "ਕੀਤੀ", "ਹੈ", "।" ]
[ "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਡੀਆਰਡੀਓ", "ਨੇ", "ਦਿਹਾਰ", ",", "ਲੇਹ", "ਵਿੱਚ", "ਕੋਵਿਡ", "-", "19", "ਟੈਸਟਿੰਗ", "ਸੁਵਿਧਾ", "ਦੀ", "ਸਥਾਪਨਾ", "ਕੀਤੀ", "ਡੀਆਰਡੀਓ", "ਨੇ", "ਕੇਂਦਰ", "ਸ਼ਾਸਿਤ", "ਪ੍ਰਦੇਸ਼", "ਲੱਦਾਖ", "ਵਿੱਚ", "ਕੋਰੋਨਾ", "ਮਾਮਲਿਆਂ", "ਦੀ", "ਪਹਿਚਾਣ", "ਦੇ", "ਉਦੇਸ਼", "ਨਾਲ", "ਟੈਸਟਿੰਗ", "ਦੀ", "ਦਰ", "ਨੂੰ", "ਵਧਾਉਣ", "ਲਈ", "ਲੇਹ", "ਸਥਿਤ", "ਪ੍ਰਯੋਗਸ਼ਾਲਾ", ",", "ਡਿਫੈਂਸ", "ਇੰਸਟੀਟਿਊਟ", "ਆਵ੍", "ਹਾਈ", "ਅਲਟੀਟਿਊਡ", "ਰਿਸਰਚ", "(", "ਦਿਹਾਰ", ")", "ਵਿੱਚ", "ਕੋਵਿਡ", "-", "19", "ਟੈਸਟਿੰਗ", "ਸੁਵਿਧਾ", "ਦੀ", "ਸਥਾਪਨਾ", "ਕੀਤੀ", "ਹੈ", "।" ]
[ "B-ORG", "O", "B-LOC", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "O", "O", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਉਸ", "ਨੂੰ", "ਅਦਾਲਤ", "ਵਿੱਚ", "ਪੇਸ਼", "ਕਰ", "ਕੇ", "ਰਿਮਾਂਡ", "ਲਿਆ", "ਜਾਵੇਗਾ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਮੁਲਜ਼ਮ", "ਗੈਂਗਸਟਰਾਂ", "ਦੀ", "ਪਛਾਣ", "ਗੁਰਜੰਟ", "ਸਿੰਘ", "ਉਰਫ", "ਪੱਟੀ", "ਤੇ", "ਜਗਰੂਪ", "ਸਿੰਘ", "ਉਰਫ", "ਜੁਪਾ", "ਵਜੋਂ", "ਹੋਈ", "ਹੈ", "।" ]
[ "O", "O", "O", "O", "B-PER", "I-PER", "O", "B-LOC", "O", "B-PER", "I-PER", "O", "B-LOC", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਸੀਪੀਆਈ", "-", "ਆਈਡਬਲਿਊ", "ਦਾ", "ਅਗਲਾ", "ਨਵੰਬਰ", "2017", "ਦਾ", "ਸੂਚਕ", "ਅੰਕ", "ਸ਼ੁੱਕਰਵਾਰ", "29", "ਦਸੰਬਰ", "2017", "ਨੂੰ", "ਜਾਰੀ", "ਕੀਤਾ", "ਜਾਵੇਗਾ", "ਜੋ", "ਸਰਕਾਰੀ", "ਵੈੱਬਸਾਈਟ", "www", ".", "labourbureaunew", ".", "gov", ".", "in", ".", "ਉੱਤੇ", "ਮੁਹੱਈਆ", "ਹੋਵੇਗਾ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "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.
[ "\"", "ਯਹੋਵਾਹ", "ਆਪਣੇ", "ਸਾਰੇ", "ਰਾਹਾਂ", "ਵਿੱਚ", "ਧਰਮੀ", "ਹੈ", ",", "ਅਤੇ", "ਆਪਣੇ", "ਸਾਰੇ", "ਕੰਮਾਂ", "ਵਿੱਚ", "ਦਯਾਵਾਨ", "ਹੈ", "।", "\"" ]
[ "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.
[ "ਸਟਾਰ", "ਗੋਲਕੀਪਰ", "ਪੀ", "ਆਰ", "ਸ੍ਰੀਜੇਸ਼", "ਮਲੇਸ਼ੀਆ", "ਦੇ", "ਇਪੋਹ", "ਵਿੱਚ", "29", "ਅਪਰੈਲ", "ਤੋਂ", "ਸ਼ੁਰੂ", "ਹੋਣ", "ਵਾਲੇ", "26", "ਵੇਂ", "ਸੁਲਤਾਨ", "ਅਜਲਾਨ", "ਸ਼ਾਹ", "ਕੱਪ", "ਵਿੱਚ", "18", "ਮੈਂਬਰੀ", "ਭਾਰਤੀ", "ਹਾਕੀ", "ਟੀਮ", "ਦੀ", "ਅਗਵਾਈ", "ਕਰਨਗੇ", "।" ]
[ "O", "O", "B-PER", "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" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਪਿੰਡ", "ਅਮਬਰਹਾਈ" ]
[ "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.
[ "ਕੁਸ਼", "ਕੁਮਾਰ", "ਸਮੇਤ", "ਵੱਡੀ", "ਗਿਣਤੀ", "ਵਿਚ", "ਖੇਡ", "ਪ੍ਰੇਮੀ", "ਹਾਜ਼ਰ", "ਸਨ", "।" ]
[ "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.
[ "ਸਮਝਿਆ", "ਜਾਂਦਾ", "ਹੈ", "ਕਿ", "ਵਿਦੇਸ਼", "ਮੰਤਰੀ", "ਮਾਈਕ", "ਪੌਂਪੀਓ", "ਅਤੇ", "ਕੌਮੀ", "ਸੁਰੱਖਿਆ", "ਸਲਾਹਕਾਰ", "ਜੌਹਨ", "ਬੋਲਟਨ", "ਨੇ", "ਪਾਕਿਸਤਾਨ", "ਦੇ", "ਵਿਦੇਸ਼", "ਮੰਤਰੀ", "ਸ਼ਾਹ", "ਮਹਿਮੂਦ", "ਕੁਰੈਸ਼ੀ", "ਨਾਲ", "ਕੀਤੀਆਂ", "ਵੱਖੋ", "ਵੱਖਰੀਆਂ", "ਮੀਟਿੰਗਾਂ", "ਦੌਰਾਨ", "ਇਹ", "ਗੱਲ", "ਆਖੀ", "ਹੈ", "ਕਿ", "ਜਿੱਥੋਂ", "ਤੱਕ", "ਪਾਕਿਸਤਾਨੀ", "ਸਰਜ਼ਮੀਨ", "ਤੋਂ", "ਸਰਗਰਮ", "ਦਹਿਸ਼ਤਗਰਦਾਂ", "ਖ਼ਿਲਾਫ਼", "ਕਾਰਵਾਈ", "ਦਾ", "ਸਬੰਧ", "ਹੈ", "ਉਸ", "ਸਬੰਧੀ", "ਜ਼ਮੀਨੀ", "ਹਾਲਾਤ", "ਵਿੱਚ", "ਕੋਈ", "ਖਾਸ", "ਤਬਦੀਲੀ", "ਨਜ਼ਰ", "ਨਹੀਂ", "ਆ", "ਰਹੀ", "।" ]
[ "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "B-PER", "I-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਸੰਯੁਕਤ", "ਰਾਸ਼ਟਰ", ",", "28", "ਸਤੰਬਰ" ]
[ "B-ORG", "I-ORG", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਸੱਜੇ", "ਬੈਂਕ", "ਨਹਿਰ" ]
[ "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.
[ "ਇਸ", "ਵਾਰਦਾਤ", "'", "ਚ", "ਇਕ", "ਔਰਤ", "ਜ਼ਖ਼ਮੀ", "ਹੋ", "ਗਈ", "।" ]
[ "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.
[ "ਬਲਾਕ", "ਸੰਗਤ", "ਦੇ", "ਪਿੰਡ", "ਮਸਾਣਾ", ",", "ਦੁੱਨੇਵਾਲਾ", ",", "ਗੁਰਥੜੀ", "ਅਤੇ", "ਗਹਿਰੀ", "ਬੁੱਟਰ", "ਦੇ", "ਖੇਤਾਂ", "ਦੀ", "ਰਾਖੀ", "ਲਈ", "ਹਰਿਆਣਾ", "ਦੀ", "ਘੋੜਾ", "ਬ੍ਰਿਗੇਡ", "ਦੇ", "ਛੇ", "ਮੈਂਬਰ", "ਡਟੇ", "ਹੋਏ", "ਹਨ", "ਜਿਨ੍ਹਾਂ", "ਕੋਲ", "ਚਾਰ", "ਘੋੜੇ", "ਹਨ", "।" ]
[ "O", "B-LOC", "O", "O", "B-LOC", "O", "B-LOC", "O", "B-LOC", "O", "B-LOC", "I-LOC", "O", "O", "O", "O", "O", "B-ORG", "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.
[ "ਸੁਪਰੀਮ", "ਕੋਰਟ", "ਵੱਲੋਂ", "ਅਮਿਤ", "ਸ਼ਾਹ", "ਨੂੰ", "ਰਾਹਤ" ]
[ "O", "B-ORG", "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.
[ "ਪ੍ਰਧਾਨ", "ਮੰਤਰੀ", "ਨੇ", "ਅੱਜ", "ਕਿਹਾ", "ਕਿ", "ਵੱਡੇ", "ਨਿਵੇਸ਼", "ਵਾਲੇ", "ਵੱਡੇ", "ਪ੍ਰੋਜੈਕਟਾਂ", "ਦੀ", "ਨਿਗਰਾਨੀ", "ਹੁਣ", "ਪ੍ਰਧਾਨ", "ਮੰਤਰੀ", "ਦਫ਼ਤਰ", "(", "ਪੀਐੱਮਓ", ")", "ਵੱਲੋਂ", "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" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਅਤੇ", "ਕੁਝ", "ਹੋਰ", "ਹਨ", "." ]
[ "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the 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", "ਕਿਸੇ", "ਵੀ", "ਹਾਲਾਤ", "ਨਾਲ", "ਨਜਿੱਠਣ", "ਦੇ", "ਸਮਰੱਥਃ", "ਨਾਇਕ" ]
[ "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.
[ "ਵਿਦਿਆਰਥੀਆਂ", "ਦੇ", "ਸੰਸਦ", "ਵੱਲ", "ਮਾਰਚ", "ਕੱਢਣ", "ਕਰਕੇ", "ਲੁਟੀਅਨਜ਼", "ਦਿੱਲੀ", "ਦੇ", "ਕੁਝ", "ਹਿੱਸਿਆਂ", "'", "ਚ", "ਆਵਾਜਾਈ", "ਪ੍ਰਭਾਵਿਤ", "ਰਹੀ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "B-LOC", "I-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਅਗਸਤ", "9", ",", "ਤੋਂ", "ਐੱਨਡੀਆਰਐੱਫ", ",", "ਥਲ", "ਸੈਨਾ", "ਅਤੇ", "ਜਲ", "ਸੈਨਾ", "ਨੇ", "ਕੁੱਲ", "ਮਿਲਾ", "ਕੇ", "6,714", "ਲੋਕਾਂ", "ਨੂੰ", "ਬਚਾਇਆ", "ਜਾਂ", "ਕੱਢਿਆ", "ਹੈ", "ਅਤੇ", "891", "ਵਿਅਕਤੀਆਂ", "ਨੂੰ", "ਡਾਕਟਰੀ", "ਸਹਾਇਤਾ", "ਮੁਹੱਈਆ", "ਕਰਵਾਈ", "ਹੈ", "।" ]
[ "O", "O", "O", "O", "B-ORG", "O", "B-ORG", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਇਸ", "ਮੌਕੇ", "ਹਰਪ੍ਰੀਤ", "ਸਿੰਘ", "ਸਿੱਧੂ", ",", "ਜਨਰਲ", "ਮੈਨੇਜਰ", ",", "ਪੰਜਾਬ", "ਮੰਡੀ", "ਬੋਰਡ", ",", "ਜਗਮੋਹਨ", "ਜ਼ਿਲ੍ਹਾ", "ਪ੍ਰਬੰਧਕ", "ਮਾਰਕਫੈਡ", ",", "ਰਜਿਸਟਰਾਰ", "ਸੀ", "ਟੀ", "ਯੂਨੀਵਰਸਿਟੀ", "ਡਾ", "." ]
[ "O", "O", "B-PER", "I-PER", "I-PER", "O", "O", "O", "O", "B-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "B-ORG", "O", "O", "B-ORG", "I-ORG", "I-ORG", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਐਗਜ਼ਿਮ", "ਬੈਂਕ", "ਢੁਕਵੇਂ", "ਸਮੇਂ", "ਉੱਤੇ", "ਇਸ", "ਅੰਬਰੇਲਾ", "ਸਮਝੌਤੇ", "ਦੀ", "ਵਰਤੋਂ", "ਕਰਦੇ", "ਹੋਏ", "ਆਪਣੇ", "ਕਾਰੋਬਾਰ", "ਲਈ", "ਸੋਮੇ", "ਜੁਟਾਉਣ", "ਲਈ", "ਇਨ੍ਹਾਂ", "ਮੈਂਬਰ", "ਸੰਸਥਾਨਾਂ", "ਵਿਚੋਂ", "ਕਿਸੇ", "ਨਾਲ", "ਵੀ", "ਦੋ", "-", "ਪੱਖੀ", "ਸਮਝੌਤਾ", "ਕਰ", "ਸਕੇਗਾ", "।" ]
[ "B-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the 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", "ਦੀ", "ਕੀ", "ਹੋ", "ਰਿਹਾ", "ਹੈ", "?" ]
[ "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਦਿੱਲੀ", "ਦੇ", "ਗ੍ਰਹਿ", "ਮੰਤਰੀ", "ਸਤੇਂਦਰ", "ਜੈਨ", "ਨੇ", "ਕਿਹਾ", "ਕਿ", "ਇਹ", "ਕਮਿਸ਼ਨ", "ਸੇਵਾਮੁਕਤ", "ਜਸਟਿਸ", "ਐਸ", "ਐਨ", "ਅਗਰਵਾਲ", "ਦੀ", "ਅਗਵਾਈ", "ਹੇਠ", "ਰਿਪੋਰਟ", "ਦੇਵੇਗਾ", "ਤੇ", "ਇਸ", "ਕਮਿਸ਼ਨ", "ਵਲੋਂ", "ਜਾਂਚ", "ਮੁਕੰਮਲ", "ਕਰਨ", "ਦੀ", "ਮਿਆਦ", "ਇਕ", "ਦੋ", "ਦਿਨਾਂ", "ਵਿਚ", "ਐਲਾਨ", "ਦਿੱਤੀ", "ਜਾਵੇਗੀ", "।" ]
[ "B-LOC", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "B-ORG", "O", "B-PER", "I-PER", "I-PER", "I-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਉਸ", "ਨੇ", "ਕਿਹਾ", "ਕਿ", "ਇੰਗਲੈਂਡ", "ਲਈ", "ਖੇਡਣ", "ਸੱਚ", "ਵਿੱਚ", "ਮਾਣ", "ਵਾਲੀ", "ਗੱਲ", "ਹੈ", "ਅਤੇ", "ਉਸ", "ਨੂੰ", "ਆਸ", "ਹੈ", "ਕਿ", "ਉਹ", "ਬਤੌਰ", "ਟੈਸਟ", "ਖਿਡਾਰੀ", "ਕੰਮ", "ਜਾਰੀ", "ਰੱਖਗੇਾ", ",", "ਪੂਰਾ", "ਯੋਗਦਾਨ", "ਪਾਏਗਾ", "ਅਤੇ", "ਇੰਗਲੈਂਡ", "ਦੇ", "ਅਗਲੇ", "ਕਪਤਾਨ", "ਤੇ", "ਟੀਮ", "ਦੀ", "ਮਦਦ", "ਕਰੇਗਾ", "।" ]
[ "O", "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", "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.
[ "ਕੁੱਝ", "ਸਾਬਕਾ", "ਟਰੱਕ", "ਯੂਨੀਅਨਾਂ", "ਵੱਲੋਂ", "ਆਉਂਦੇ", "ਝੋਨੇ", "ਦੇ", "ਸੀਜ਼ਨ", "ਦੌਰਾਨ", "ਲਿਫਟਿੰਗ", "'", "ਚ", "ਰੁਕਾਵਟ", "ਪੈਦਾ", "ਕਰਨ", "ਸਬੰਧੀ", "ਪ੍ਰਗਟਾਏ", "ਜਾ", "ਰਹੇ", "ਖਦਸ਼ੇ", "ਦੀ", "ਗੱਲ", "ਕਰਦਿਆਂ", "ਮੁੱਖ", "ਮੰਤਰੀ", "ਨੇ", "ਕਿਹਾ", "ਕਿ", "ਮੰਡੀਆਂ", "ਵਿੱਚ", "ਲੋੜੀਂਦੇ", "ਪ੍ਰਬੰਧ", "ਕੀਤੇ", "ਜਾਣਗੇ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "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.
[ "ਪੀ", ".", "ਪੀ", ".", "ਚੋਣਾਂ", "'", "ਚ", "ਮੋਹਾਲੀ", "ਦੇ", "ਜੰਮਪਲ", "ਦੀਪਕ", "ਅਨੰਦ", "ਨੇ", "ਮਿਸੀਸੌਗਾ", "ਮਾਲਟਨ", "ਖੇਤਰ", "ਤੋਂ", "ਪ੍ਰੋਗਰੈਸਿਵ", "ਕੰਜ਼ਰਵੇਟਿਵ", "ਪਾਰਟੀ", "ਦੀ", "ਟਿਕਟ", "'", "ਤੇ", "ਜਿੱਤ", "ਹਾਸਲ", "ਕੀਤੀ", "ਹੈ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "B-PER", "O", "O", "B-PER", "I-PER", "O", "B-LOC", "O", "O", "O", "B-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਟਾਈਗਰ", "ਮੇਮਨ", "ਦੇ", "ਭਰਾ", "ਤੇ", "ਮੁੰਬਈ", "ਧਮਾਕਿਆਂ", "ਦੇ", "ਦੋਸ਼ੀ", "ਯੂਸਫ", "ਦੀ", "ਮੌਤ" ]
[ "B-PER", "I-PER", "O", "O", "O", "B-LOC", "O", "O", "O", "B-PER", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਪੰਜਾਬ", "ਪ੍ਰਦੇਸ਼", "ਕਾਂਗਰਸ", "ਕਮੇਟੀ", "ਦੇ", "ਪ੍ਰਧਾਨ", "ਕੈਪਟਨ", "ਅਮਰਿੰਦਰ", "ਸਿੰਘ", "ਨੇ", "ਮਹਾਰਾਜਾ", "ਰਣਜੀਤ", "ਸਿੰਘ", "ਦੇ", "ਫਿਲੌਰ", "ਸਥਿਤ", "ਇਤਿਹਾਸਕ", "ਕਿਲੇ", "ਨੂੰ", "ਭਾਰਤੀਆ", "ਪੁਰਾਤੱਤਵ", "ਸਰਵੇਖਣ", "'", "ਏ", ".", "ਐਸ", ".", "ਆਈ", ".", "'", "ਨੂੰ", "ਸੌਂਪੇ", "ਜਾਣ", "ਦਾ", "ਵਿਰੋਧ", "ਕੀਤਾ", "ਹੈ", "।" ]
[ "O", "O", "B-ORG", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "B-LOC", "I-LOC", "I-LOC", "B-LOC", "I-LOC", "I-LOC", "I-LOC", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਹਾਲਾਂਕਿ", "ਪ੍ਰਗਟ", "ਸਿੰਘ", "ਨੇ", "ਇਸ", "ਬਾਰੇ", "ਕੁੱਝ", "ਵੀ", "ਨਹੀਂ", "ਕਿਹਾ", "ਹੈ", "।" ]
[ "O", "O", "B-PER", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਪੰਜਾਬ", "ਯੁਵਕ", "ਵਿਕਾਸ", "ਬੋਰਡ", "ਦੇ", "ਚੇਅਰਮੈਨ", "ਗੁਰਪ੍ਰੀਤ", "ਸਿੰਘ", "ਰਾਜੂ", "ਖੰਨਾ", "ਵਿਸ਼ੇਸ਼", "ਤੌਰ", "'", "ਤੇ", "ਪਹੁੰਚੇ", "।" ]
[ "B-LOC", "B-ORG", "I-ORG", "I-ORG", "O", "O", "B-PER", "I-PER", "I-PER", "I-PER", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "'", "ਗੁੱਡ", "ਨਿਊਜ਼", "'", "ਫਿਲਮ", "ਨੂੰ", "ਰਾਜ", "ਮਹਿਤਾ", "ਵੱਲੋਂ", "ਡਾਇਰੈਕਟ", "ਕੀਤਾ", "ਗਿਆ", "ਹੈ", "।" ]
[ "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਏਬੀਵੀਪੀ", "ਦਿੱਲੀ", "ਦੇ", "ਸੂਬਾ", "ਸੈਕਟਰੀ", "ਸਿਸਾਰਥ", "ਯਾਦਵ", "ਨੇ", "ਸਵੀਕਾਰ", "ਕੀਤਾ", "ਕਿ", "ਕੋਮਲ", "ਸੰਗਠਨ", "ਦੀ", "ਮੈਂਬਰ", "ਹੈ", "।" ]
[ "B-ORG", "I-ORG", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "B-PER", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਰਾਜਕੋਟ", "ਦੀ", "ਇਹ", "ਪਲਾਂਟ", "ਦੀਪਕ", "ਦੀ", "ਡੀਜਲ", "ਪ੍ਰਾਈਵੇਟ", "ਲਿਮਟਿਡ", "ਅਤੇ", "ਮਹਿੰਦਰਾ", "ਐਂਡ", "ਮਹਿੰਦਰਾ", "ਦੁਆਰਾ", "ਸਾਂਝੇ", "ਤੌਰ", "'", "ਤੇ", "ਸਥਾਪਤ", "ਕੀਤੀ", "ਗਈ", "ਹੈ", "।" ]
[ "B-LOC", "O", "O", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "B-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.
[ "ਉਨ੍ਹਾਂ", "ਕਿਹਾ", "ਕਿ", "ਇਸ", "ਦਾ", "ਕੋਈ", "ਪੱਕਾ", "ਹੱਲ", "ਕੱਿਢਆ", "ਜਾਣਾ", "ਚਾਹੀਦਾ", "ਹੈ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਮੌਸਮ", "ਵਿਭਾਗ", "ਦੇ", "ਇਕ", "ਅਧਿਕਾਰੀ", "ਨੇ", "ਇਹ", "ਜਾਣਕਾਰੀ", "ਦਿੱਤੀ", "।" ]
[ "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.
[ "ਇਸ", "ਤੋਂ", "ਪਹਿਲਾਂ", "ਅਮਰੀਕਾ", "ਦੇ", "ਸਾਬਕਾ", "ਰਾਸ਼ਟਰਪਤੀ", "ਬਰਾਕ", "ਓਬਾਮਾ", "ਦੀ", "ਫੇਰੀ", "ਦੌਰਾਨ", "ਸਾਬਕਾ", "ਪ੍ਰਧਾਨ", "ਮੰਤਰੀ", "ਮਨਮੋਹਨ", "ਸਿੰਘ", "ਅਤੇ", "ਕਾਂਗਰਸੀ", "ਆਗੂ", "ਸੋਨੀਆ", "ਗਾਂਧੀ", "ਸਮੇਤ", "ਕਾਂਗਰਸ", "ਦੇ", "ਇੱਕ", "ਵਫ਼ਦ", "ਨੇ", "ਉਨ੍ਹਾਂ", "ਨਾਲ", "ਮੁਲਾਕਾਤ", "ਕੀਤੀ", "ਸੀ", "।" ]
[ "O", "O", "O", "B-LOC", "O", "O", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "B-ORG", "O", "B-PER", "I-PER", "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.
[ "ਫੜੇ", "ਗਏ", "ਵਿਅਕਤੀਆਂ", "ਦੀ", "ਪਛਾਣ", "ਮੁਹੰਮਦ", "ਇਰਫਾਨ", "ਵਾਸੀ", "ਢੱਡੇਵਾੜਾ", "ਤੇ", "ਮੁਹੰਮਦ", "ਅਮਜਦ", "ਉਰਫ", "ਰਾਸ਼ਿਦ", "ਵਾਸੀ", "ਦਿੱਲੀ", "ਗੇਟ", "ਮਾਲੇਰਕੋਟਲਾ", "ਵਜੋਂ", "ਹੋਈ", "ਹੈ", "।" ]
[ "O", "O", "O", "O", "O", "B-PER", "I-PER", "O", "B-LOC", "O", "B-PER", "I-PER", "I-PER", "I-PER", "O", "B-LOC", "I-LOC", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਮਰਹੂਮ", "ਪ੍ਰਧਾਨ", "ਮੰਤਰੀ", "ਇੰਦਰਾ", "ਗਾਂਧੀ", "ਅਤੇ", "ਰਾਜੀਵ", "ਗਾਂਧੀ", "ਦੇ", "ਨੇੜਲੇ", "ਸੀਨੀਅਰ", "ਕਾਂਗਰਸੀ", "ਆਗੂ", "ਮਾਖਨ", "ਲਾਲ", "ਫੋਤੇਦਾਰ", "ਦਾ", "ਅੱਜ", "ਗੁਰੂਗ੍ਰਾਮ", "ਦੇ", "ਮੇਦਾਂਤਾ", "ਹਸਪਤਾਲ", "ਵਿੱਚ", "ਦੇਹਾਂਤ", "ਹੋ", "ਗਿਆ", "।" ]
[ "B-LOC", "O", "O", "B-PER", "I-PER", "O", "B-PER", "I-PER", "O", "O", "O", "O", "O", "B-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.
[ "ਦਿਵਿਆ", "ਮਦਰੇਨਾ", "ਰਾਜਸਥਾਨ", "ਦੀ", "ਇੱਕ", "ਭਾਰਤੀ", "ਸਿਆਸਤਦਾਨ", "ਹੈ", "।" ]
[ "B-PER", "I-PER", "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.
[ "ਟਾਟਾ", "ਗਰੁੱਪ", "ਨੇ", "ਅੱਜ", "ਸੁਪਰੀਮ", "ਕੋਰਟ", ",", "ਬੰਬੇ", "ਹਾਈ", "ਕੋਰਟ", "ਅਤੇ", "ਨੈਸ਼ਨਲ", "ਕੰਪਨੀ", "ਲਾਅ", "ਟ੍ਰਿਬਿਊਨਲ", "ਵਿੱਚ", "ਉਜ਼ਰਦਾਰੀ", "ਦਾਖ਼ਲ", "ਕੀਤੀ", "ਹੈ", "ਤਾਂ", "ਜੋ", "ਸਾਇਰਸ", "ਮਿਸਤਰੀ", "ਅਦਾਲਤਾਂ", "ਤੋਂ", "ਕੋਈ", "ਇਕਤਰਫ਼ਾ", "ਹੁਕਮ", "ਪਾਸ", "ਨਾ", "ਕਰਾ", "ਸਕੇ", "।" ]
[ "B-ORG", "O", "O", "O", "B-ORG", "I-ORG", "O", "B-ORG", "I-ORG", "I-ORG", "O", "B-ORG", "I-ORG", "I-ORG", "I-ORG", "O", "O", "O", "O", "O", "O", "O", "B-ORG", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਉਸ", "ਨੂੰ", "ਡੀਡੀਯੂ", "ਹਸਪਤਾਲ", "ਲਿਜਾਇਆ", "ਗਿਆ", ",", "ਜਿੱਥੋਂ", "ਉਸ", "ਨੂੰ", "ਉਸੇ", "ਦਿਨ", "ਐੱਲਐੱਨਜੇਪੀ", "ਹਸਪਤਾਲ", "ਰੈਫਰ", "ਕੀਤਾ", "ਗਿਆ", "।" ]
[ "O", "O", "B-LOC", "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.
[ "ਪ੍ਰਧਾਨ", "ਮੰਤਰੀ", "ਸ੍ਰੀ", "ਸਿੱਦਾਗੰਗਾ", "ਮਠ", "ਦਾ", "ਵੀ", "ਦੌਰਾ", "ਕਰਨਗੇ", "ਜਿਥੇ", "ਉਹ", "ਸ੍ਰੀ", "ਸ਼੍ਰੀ", "ਸ਼ਿਵਾਕੁਮਾਰ", "ਸਵਾਮੀ", "ਜੀ", "ਦੇ", "ਯਾਦਗਾਰ", "ਅਜਾਇਬ", "ਘਰ", "ਦਾ", "ਨੀਂਹ", "ਪੱਥਰ", "ਰੱਖਣ", "ਲਈ", "ਇਕ", "ਤਖ਼ਤੀ", "ਦਾ", "ਉਦਘਾਟਨ", "ਕਰਨਗੇ", "।" ]
[ "O", "B-PER", "B-LOC", "I-LOC", "I-LOC", "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" ]
You are an NLP assistant whose purpose is to perform Named Entity Recognition (NER). NER involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. You will need to use the tags defined below: O means the word doesn’t correspond to any entity. B-PER/I-PER means the word corresponds to the beginning of/is inside a person entity. B-ORG/I-ORG means the word corresponds to the beginning of/is inside an organization entity. B-LOC/I-LOC means the word corresponds to the beginning of/is inside a location entity. Provide the output as a list of tags corresponding to each input token.
[ "ਮੁੱਖ", "ਮੰਤਰੀ", "ਨੇ", "ਇਹ", "ਵੀ", "ਕਿਹਾ", "ਕਿ", "ਸਰਕਾਰ", "ਮ੍ਰਿਤਕਾਂ", "ਦੇ", "ਬੱਚਿਆਂ", "ਦੀ", "ਪੜ੍ਹਾਈ", "ਦਾ", "ਖਿਆਲ", "ਰੱਖੇਗੀ", ",", "ਕਿਉਂਕਿ", "ਉਹ", "ਇਸ", "ਮੰਦਭਾਗੀ", "ਘਟਨਾ", "ਵਿੱਚ", "ਆਪਣੇ", "ਪਰਿਵਾਰਾਂ", "ਦੇ", "ਕਮਾਉ", "ਮੈਂਬਰ", "ਗੁਆ", "ਚੁੱਕੇ", "ਹਨ", "।" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "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.
[ "ਕੇਨ", "ਵਿਲੀਅਮਸਨ", "(", "33", ")", "ਅਤੇ", "ਮਾਰਟਿਨ", "ਗੁਪਤਿਲ", "ਨੇ", "ਦੂਸਰੇ", "ਵਿਕਟ", "ਲਈ", "58", "ਦੌੜਾਂ", "ਦੀ", "ਸਾਂਝੇਦਾਰੀ", "ਕੀਤੀ", "।" ]
[ "B-PER", "I-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.
[ "ਇਸ", "ਸਬੰਧੀ", "ਬਹਿਰਾਮਪੁਰ", "ਪੁਲੀਸ", "ਥਾਣੇ", "ਵਿਚ", "ਸ਼ਿਕਾਇਤ", "ਕਰ", "ਦਿੱਤੀ", "ਗਈ", "ਹੈ", "।" ]
[ "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O", "O", "O", "O" ]