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  <p align="center" style="margin-top: -2em">
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  <img src="https://huggingface.co/datasets/allenai/pes2o/resolve/main/logo.png" alt="peS2o logo. It's a picure of a mortar and pestle with documents flying in." width=384px height=auto>
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  </p>
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- <p align="center" style="font-size: 1.2em; margin-top: -1em"><i>Pretraining Efficiently on <a href="https://github.com/allenai/s2orc">S2ORC</a>!</i></p>
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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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  <p align="center" style="margin-top: -2em">
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  <img src="https://huggingface.co/datasets/allenai/pes2o/resolve/main/logo.png" alt="peS2o logo. It's a picure of a mortar and pestle with documents flying in." width=384px height=auto>
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  </p>
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+ <p align="center" style="font-size: 1.2em; margin-top: -1em"><i>Pretraining Effectively on <a href="https://github.com/allenai/s2orc">S2ORC</a>!</i></p>
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+ The peS2o dataset is a collection of ~40M creative open-access 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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