Librarian Bot: Add language metadata for dataset

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  We upgraded our dataset with category. Another column category is added to the dataset which tells which category the text belongs to. We picked 7 categories and manually annotated the dataset over 7 categories, International, State, Entertainment, Economy, Education, and Technology. This dataset will be useful for NLP tasks like Bangla text classification. There are rarely any proper text classification datasets in low-resource languages like Bangla. There are some sentiment classification datasets in Bangla but not rarely in case of which category the text belongs to. So we introduced this dataset with categories that will be useful for text classification in Bangla.
 
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  We upgraded our dataset with category. Another column category is added to the dataset which tells which category the text belongs to. We picked 7 categories and manually annotated the dataset over 7 categories, International, State, Entertainment, Economy, Education, and Technology. This dataset will be useful for NLP tasks like Bangla text classification. There are rarely any proper text classification datasets in low-resource languages like Bangla. There are some sentiment classification datasets in Bangla but not rarely in case of which category the text belongs to. So we introduced this dataset with categories that will be useful for text classification in Bangla.