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--- |
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license: odc-by |
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task_categories: |
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- text-generation |
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language: |
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- en |
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tags: |
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- biology |
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- chemistry |
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- engineering |
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- computer science |
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- physics |
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- material science |
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- math |
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- psychology |
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- economics |
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- political science |
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- business |
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- geology |
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- sociology |
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- geography |
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- environmental science |
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- art |
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- history |
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- philosophy |
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pretty_name: PES2O |
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size_categories: |
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- 10B<n<100B |
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--- |
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# PES2O 🌿🎓 |
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*Pretraining Efficiently on [S2ORC][2]!* |
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The PES2O dataset is a collection of ~40M creative commmon licensed academic papers, |
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cleaned, filtered, and formatted for pre-training of language models. It is derived from |
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the [Semantic Scholar Open Research Corpus][2]([Lo et al, 2020][1]), or S2ORC. |
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We release multiple version of PES2O, each with different processing and knowledge cutoff |
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date. We recommend you to use the latest version available. |
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## Document Format |
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TODO |
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## PES2O V1 |
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### Key Facts |
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- *Knowledge cutoff*: 2023-01-03 |
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- *Number of documents*: 67.56M |
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- *Number of whitespace-separated tokens**: 47,3M |
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### Processing |
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TODO |
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| Dataset | Split | # Documents | # Words | |
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|:-------:|:-------:|:-----------:|:--------------:| |
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|s2orc | train | 8,242,162 | 36,088,195,908 | |
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|s2orc | valid | 51,323 | 255,139,074 | |
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|s2ag | train | 59,382,301 | 11,009,123,378 | |
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|s2ag | valid | 111,228 | 24,398,512 | |
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## PES2O V2 |
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### Key Facts |
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- *Knowledge cutoff*: 2023-01-03 |
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- *Number of documents*: 38.97M |
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- *Number of whitespace-separated tokens**: 42,28 |
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### Processing |
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TODO |
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| Dataset | Split | # Documents | # Words | |
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|:-------:|:-----:|------------:|---------------:| |
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| s2orc | train | 8,242,162 | 36,088,195,908 | |
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| s2orc | valid | 51,323 | 255,139,074 | |
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| s2ag | train | 30,569,017 | 5,920,099,207 | |
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| s2ag | valid | 109,709 | 24,029,459 | |
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[1]: https://aclanthology.org/2020.acl-main.447/ |
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[2]: https://github.com/allenai/s2orc |
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