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The Pile

EleutherAI
open / Overall score: 3.0

EleutherAI's 825 GiB English pretraining corpus from 2020, drawn from 22 sources spanning web text, academic papers, code, books and forums. It set the template for documented open pretraining data and trained Pythia, GPT-NeoX-20B, GPT-J and Cerebras-GPT among others.

A family record covering the original and deduplicated releases.

Openness

3 medium confidence
3.0
access
ungated
license
mixed-per-subset
dataset_card
legacy-repo-only

The corpus downloads freely and ungated from the deduplicated Hugging Face repository. The original repository now holds only a dataset card and a loading script, and licensing defers to each subset's own terms.

Adoption

3 medium confidence
3.0

Adoption is measured by Hugging Face downloads of the deduplicated repository, EleutherAI/the_pile_deduplicated, the corpus's current distribution point since the original loading-script mirrors went dark. The count sits near the bottom of its range, so confidence is medium rather than high.

Capability

3 high confidence
3.0

The foundational 2020-era template, proven for a wide 2022-23 family (Pythia, GPT-NeoX-20B, GPT-J, Cerebras-GPT), but dated and beaten by modern web corpora in FineWeb ablations.

  • https://arxiv.org/abs/2204.06745 recorded 2026-09-29

    GPT-NeoX-20B abstract says it is "a 20 billion parameter autoregressive language model trained on the Pile".

  • https://arxiv.org/abs/2304.03208 recorded 2026-09-29

    Cerebras-GPT abstract says "We train Cerebras-GPT models on the Eleuther Pile dataset".

  • https://arxiv.org/html/2406.17557 recorded 2026-09-29

    FineWeb paper says the FineWeb model "outperforms all other open datasets we compared on our aggregate group of tasks", and its comparison set lists "The Pile (340B tokens)".

Verified 2026-09-27