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Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research

Paper summary

Introduces Dolma, a large openly documented text corpus, with source mixtures, filtering, and construction details. Intermediate-data analyses and training experiments make data choices more inspectable.

Relevance to the project

A reproducibility example for recording inputs and processing stages. Relevant mainly to optional language-model research rather than present simulation inputs.

Language modelsTraining dataLanguage model trainingReproducibility

The paper is preserved locally; the full dataset has not been downloaded.

Source record

Reference ID
dolma
Archived version
2402.00159v2
Summary provenance
reference-library/papers/dolma/metadata.json · summary
Review status
initial orientation summary; not a critical full-paper review
Reading scope
Selected abstract/opening and available closing discussion/conclusion passages in the preserved text extract; broader project notes provide context. No reproduction of experiments, exhaustive methods review, or equation/figure audit.