Stack-Edu
Hugging FaceHugging Face's education-filtered slice of StarCoder2Data, about 125 billion tokens of code scored by an educational-value classifier. It is a documented component of SmolLM3 and of the Dolma 3 pool behind OLMo 3.
Openness
4 medium confidence- access
- ungated
- license
- inherits-the-stack-v2
- dataset_card
- present
Ungated download with a card; the card defers the data license to The Stack v2's terms.
- https://huggingface.co/datasets/HuggingFaceTB/stack-edu recorded 2026-09-29
The dataset page renders the card, which says "Stack-Edu is a 125B token dataset of educational code filtered from" The Stack v2 and "It is intended for Language Models training.", and its embedded repo data reports gated false and private false.
- https://huggingface.co/datasets/HuggingFaceTB/stack-edu/raw/main/README.md recorded 2026-09-29
The raw card says "Please refer to [the-stack-v2](https://huggingface.co/datasets/bigcode/the-stack-v2-train-full-ids) for the data license" and describes "Stack-Edu is a 125B token dataset of educational code filtered from" The Stack v2.
Adoption
2 high confidenceAdoption is measured by Hugging Face downloads of the dataset over the trailing month, the only usage channel on record for Stack-Edu.
- https://huggingface.co/api/datasets/HuggingFaceTB/stack-edu recorded 2026-08-13
5,273 downloads in the trailing 30 days for HuggingFaceTB/stack-edu
Capability
5 high confidenceStack-Edu beat StarCoder2Data on MultiPL-E in the SmolLM2 paper's annealing ablations, and the dataset card reports the gain across all its programming languages. The SmolLM3 pretraining mixture adds it from its second stage, and it is one of the code sources in the Dolma 3 pool behind Olmo 3.
- https://arxiv.org/html/2502.02737v1 recorded 2026-09-29
The SmolLM2 paper says "To evaluate Stack-Edu, we performed annealing ablations" and reports Python MultiPL-E rising "20.7 → 25.6" after filtering.
- https://huggingface.co/blog/smollm3 recorded 2026-09-29
The SmolLM3 blog lists a stage 2 mix with "Code: 15% - Adding Stack-Edu".
- https://huggingface.co/datasets/allenai/dolma3_pool/raw/main/README.md recorded 2026-09-29
The Dolma 3 pool card lists "StackEdu (Rebalanced) | GitHub code | 137B" among the pool sources and links "https://huggingface.co/datasets/HuggingFaceTB/stack-edu".
- https://huggingface.co/datasets/HuggingFaceTB/stack-edu/raw/main/README.md recorded 2026-09-29
The card says "Stack-Edu shows consistent improvement over StarCoder2data on all the programming languages on MultiPL-E benchmark." and was built from the "Selected 15 largest programming languages from StarCoder2Data".
Verified 2026-09-27