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Cosmopedia

Hugging Face
open / Overall score: 3.0

Synthetic pretraining dataset of more than 31 million textbooks, blog posts, stories and educational articles, about 25 billion tokens, generated with Mixtral-8x7B-Instruct from seed samples drawn from web data, Stanford courses, OpenStax, Khan Academy and WikiHow. It was built by Hugging Face's Smol Models Research team as a reference corpus for synthetic-data pretraining recipes.

Cosmopedia v2 is the direct successor.

Openness

5 high confidence
5.0
license
apache-2.0
access
ungated
dataset_card
present

Permissive Apache-2.0 license, ungated, full dataset card and downloadable parquet files.

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 Cosmopedia.

Capability

3 high confidence
3.0

Cosmo-1B beats TinyLlama on ARC and MMLU but trails Phi-1.5. Cosmopedia v2 has since superseded it.

  • https://huggingface.co/blog/cosmopedia recorded 2026-09-29

    The Hugging Face blog post says the Cosmo-1B model "performs better than TinyLlama 1.1B on ARC-easy, ARC-challenge, OpenBookQA, and MMLU" and that "we notice some performance gaps compared to Phi-1.5".

  • https://huggingface.co/datasets/HuggingFaceTB/cosmopedia-v2 recorded 2026-09-29

    The smollm-corpus page, where the cosmopedia-v2 URL now redirects, says "Cosmopedia v2 is an enhanced version of Cosmopedia" and lists it as a dataset subset.

Verified 2026-09-27