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  ### Dataset Summary
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  Persian Corpus (Merged) is a large-scale, Persian corpus meticulously aggregated from multiple high-quality Persian datasets available on the Hugging Face Hub. Designed to advance Persian NLP research and applications, this corpus consolidates diverse textual sources into a single resource, providing researchers and developers with a robust foundation for training and evaluating language models.
 
 
 
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  By merging fragmented Persian datasets, this resource eliminates data collection bottlenecks and provides a unified, ready-to-use corpus. Its scale and diversity make it particularly valuable for improving model generalization in under-resourced languages like Persian.
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- Scale: Contains 14+ million examples and ~5.1 billion tokens, making it one of the largest publicly available Persian corpora.
 
 
 
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  ### Supported Tasks
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  ### Dataset Summary
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  Persian Corpus (Merged) is a large-scale, Persian corpus meticulously aggregated from multiple high-quality Persian datasets available on the Hugging Face Hub. Designed to advance Persian NLP research and applications, this corpus consolidates diverse textual sources into a single resource, providing researchers and developers with a robust foundation for training and evaluating language models.
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+ ### Why Use This Corpus?
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  By merging fragmented Persian datasets, this resource eliminates data collection bottlenecks and provides a unified, ready-to-use corpus. Its scale and diversity make it particularly valuable for improving model generalization in under-resourced languages like Persian.
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+ ### Scale
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+ Contains 14+ million examples and ~5.1 billion tokens, making it one of the largest publicly available Persian corpora.
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  ### Supported Tasks
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