mirfan899/Urdu
Collection of Urdu datasets for POS, NER, Sentiment, Summarization and NLP tasks.
This project offers a collection of pre-existing Urdu language datasets for common text analysis tasks. It provides ready-to-use data for tasks like automatically summarizing text, identifying parts of speech, recognizing named entities (like people or places), and determining the sentiment of reviews. Anyone working with Urdu text who needs data to train or evaluate language processing models, such as linguists, researchers, or data scientists, would find this useful.
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Use this if you need diverse and labeled Urdu text data for training or evaluating models related to summarization, sentiment analysis, named entity recognition, or part-of-speech tagging.
Not ideal if you are looking for a complete, pre-built application or a tool to perform these tasks directly without needing to work with underlying datasets.
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Last pushed
Aug 09, 2024
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