metadata

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!

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(Lo et al, 2020), 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