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Soldaini et al.: Dolma open pretraining corpus and curation toolkit

Contribution grade

Language-model data curation and research resources · Human-designed research method or resource

Reference score65,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Released a documented multi-source pretraining corpus and reproducible curation toolkit, with analyses of filtering, deduplication and source mixing for language-model research.

Scientific scope

Released a documented multi-source pretraining corpus and reproducible curation toolkit, with analyses of filtering, deduplication and source mixing for language-model research. Initial corpus release was August 2023; the January 2024 paper documents later corpus/toolkit versions and analyses. Distinct from OLMo's model framework; not a claim of bias-free, contamination-free or universally licensed data.

Evidence

The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Initial corpus release was August 2023; the January 2024 paper documents later corpus/toolkit versions and analyses. Distinct from OLMo's model framework; not a claim of bias-free, contamination-free or universally licensed data.

Contributors

Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.

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