# Sources and licenses

This release contains questions from several datasets. Their original licenses and attribution continue to apply to those rows. The `source` field identifies where each curated question came from.

| `source` | Original dataset | License stated on its dataset card |
| --- | --- | --- |
| `math` | [MATH, hosted by EleutherAI](https://huggingface.co/datasets/EleutherAI/hendrycks_math) | MIT |
| `gsm8k` | [GSM8K, OpenAI](https://huggingface.co/datasets/openai/gsm8k) | MIT |
| `numina:*` | [NuminaMath-CoT, Project Numina](https://huggingface.co/datasets/AI-MO/NuminaMath-CoT) | Apache 2.0 |
| `generated` | TactLM dependency-graph generator | MIT for these original generated questions |

The `fresh-multistep` questions were also made by the TactLM dependency-graph generator and are released under MIT. Refer to each linked source dataset for its full license and citation. This repository does not include upstream worked solutions: only question text, final numeric answers, and selection metadata.

## Citations

- Hendrycks et al., *Measuring Mathematical Problem Solving With the MATH Dataset* (NeurIPS 2021).
- Cobbe et al., *Training Verifiers to Solve Math Word Problems* (2021), for GSM8K.
- Li et al., *NuminaMath* (2024), for NuminaMath-CoT.