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