TIGER-Lab/MathInstruct
🦣 MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning MathInstruct is a meticulously curated instruction tuning dataset that is lightweight yet generalizable. MathInstruct is compiled from 13 math rationale datasets, six of which are newly curated by this work. It uniquely focuses on the hybrid use of chain-of-thought (CoT) and program-of-thought (PoT) rationales, and ensures extensive coverage of diverse mathematical fields. Project Page:… See the full description on the dataset page: https://huggingface.co/datasets/TIGER-Lab/MathInstruct.
| Author / organization | TIGER-Lab |
|---|---|
| License (as declared) | mit |
| Downloads | 12.1K (as reported by Hugging Face) |
| Likes | 316 |
| Created | 11 September 2023 |
| Last updated at source | 15 May 2024 |
Connected in the knowledge graph
- openchat/openchat-3.5-1210Model · used to train
- HuggingFaceM4/idefics2-8bModel · used to train
More from TIGER-Lab
- TIGER-Lab/MMLU-ProDataset
- TIGER-Lab/OmniEdit-Filtered-1.2MDataset
- TIGER-Lab/AceCode-87KDataset
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 14 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.