Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
json
Languages:
English
Size:
10K - 100K
License:
| # 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. | |