Back to Gap Map Model components / Training & synthetic datasets

Dolma 3

Allen Institute for AI
open / Overall score: 4.0(strong)

Ai2's pretraining data release behind OLMo 3: a pool of about 9 trillion tokens drawn from Common Crawl, olmOCR-processed scientific PDFs, Stack-Edu code and FineMath, alongside the quality-upsampled mixes used in training - Dolma 3 Mix, Dolmino mid-training and Longmino long-context. The pool, every mix and the curation tooling are released together.

A family record covering the pool and the training mixes; successor to the map's Dolma 1.x entry.

Openness

5 high confidence
5.0
license
ODC-BY
gated
false
dataset_card
present

ODC-BY, ungated, fully documented pool and training mixes.

Adoption

3 high confidence
3.0

Adoption is measured by Hugging Face downloads of the dataset over the trailing month, the only usage channel on record for Dolma 3.

Capability

5 high confidence
5.0

The current (2025) corpus behind OLMo 3, the strongest fully-open base and thinking models; uses documented quality-aware upsampling and data-mix ablations.

  • https://allenai.org/blog/olmo3 recorded 2026-09-29

    Ai2 Olmo 3 blog states "Together, Dolma 3 and Dolci give Olmo 3 a fully open data curriculum from first token to final post-trained checkpoint" and "Olmo 3-Base 32B outperforms other fully open base models".

  • https://arxiv.org/abs/2512.13961 recorded 2026-09-29

    arXiv abstract for the Olmo 3 paper says "We introduce Olmo 3, a family of state-of-the-art, fully-open language models at the 7B and 32B parameter scales" and "Our flagship model, Olmo 3 Think 32B, is the strongest fully-open thinking model released to-date".

Verified 2026-09-27