Datasets:
kargaranamir
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README.md
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license: cc0-1.0
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configs:
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- config_name: eng-Latn
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data_files:
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- split: train
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### Dataset Summary
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<img align="center" 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 **
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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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### Licensing Information
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GlotCC data is released under the following licensing scheme: We do not own any of the text from which this data has been extracted. The data is licensed under the terms of the CommonCrawl [Terms of Use](https://commoncrawl.org/terms-of-use). We license the actual packaging, metadata, and annotations of this data under the Creative Commons [CC0 license](https://github.com/cisnlp/GlotCC/blob/main/LICENSE).
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---
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license: cc0-1.0
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configs:
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- config_name: default
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data_files:
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- split: train
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path: "v1.0/*/*.parquet"
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- config_name: eng-Latn
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data_files:
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- split: train
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### Dataset Summary
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<img align="center" 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 more than **1000** 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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The dataset is currently heavily under audit and changes accordingly.
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### Licensing Information
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GlotCC data is released under the following licensing scheme: We do not own any of the text from which this data has been extracted. The data is licensed under the terms of the CommonCrawl [Terms of Use](https://commoncrawl.org/terms-of-use). We license the actual packaging, metadata, and annotations of this data under the Creative Commons [CC0 license](https://github.com/cisnlp/GlotCC/blob/main/LICENSE).
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