Datasets:
kargaranamir
commited on
add pipline.
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README.md
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### Dataset Summary
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<img align="left" src="https://github.com/cisnlp/GlotCC/raw/main/assets/images/logo.jpg" width="
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<a href="https://huggingface.co/datasets/cis-lmu/GlotCC-V1"><img alt="GlotCC Pipline" src="https://img.shields.io/badge/🐱 Pipline-GlotCC-blue"></a>
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**GlotCC-V1.0** is a document-level, 2TB general domain monolingual dataset derived from CommonCrawl, covering **1275** languages.
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It is built
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The current version is filtered based on adopted filters from C4, CCNet, MADLAD-400, RedPajama-Data-v2, OSCAR, Gopher, RefinedWeb, FineWeb, Datatrove, Dolma, Pile-CC, Pretrainer's Guide, and GlotScript. We remove personally identifiable information and perform a self-audit to ensure the quality of the generated corpus.
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## Additional Information
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### Dataset Summary
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<img align="left" src="https://github.com/cisnlp/GlotCC/raw/main/assets/images/logo.jpg" width="300" height="300" />
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**GlotCC-V1.0** is a document-level, 2TB general domain monolingual dataset derived from CommonCrawl, covering **1275** languages.
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It is built using the [GlotLID](https://github.com/cisnlp/GlotLID) language identification and [Ungoliant](https://github.com/kargaranamir/ungoliant) pipeline from CommonCrawl.
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The current version is filtered based on adopted filters from C4, CCNet, MADLAD-400, RedPajama-Data-v2, OSCAR, Gopher, RefinedWeb, FineWeb, Datatrove, Dolma, Pile-CC, Pretrainer's Guide, and GlotScript. We remove personally identifiable information and perform a self-audit to ensure the quality of the generated corpus.
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We release our pipeline as open-source at [https://github.com/cisnlp/GlotCC](https://github.com/cisnlp/GlotCC).
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## Additional Information
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