{"url":"/dataset/mathinstruct","name":"MathInstruct","full_name":null,"description_markdown":"**MathInstruct** is a meticulously curated instruction tuning dataset that combines data from **13 mathematical rationale datasets**. It uniquely focuses on the hybrid use of **chain-of-thought (CoT)** and **program-of-thought (PoT)** rationales, ensuring extensive coverage of diverse mathematical fields¹²³.\r\n\r\nHere are some key points about the **MathInstruct** dataset:\r\n\r\n1. **Compilation**: MathInstruct is compiled from 13 math rationale datasets, six of which are newly curated by this work.\r\n2. **Instruction Types**: It emphasizes both **CoT** (chain-of-thought) and **PoT** (program-of-thought) rationales, providing a rich foundation of intermediate reasoning.\r\n3. **Coverage**: The dataset spans various mathematical topics, making it valuable for training and evaluating models in mathematical reasoning.\r\n\r\nFor more details, you can explore the [MathInstruct dataset on Hugging Face](https://huggingface.co/datasets/TIGER-Lab/MathInstruct) or visit the [project page](https://tiger-ai-lab.github.io/MAmmoTH/)¹⁴. 📚🧮\r\n\r\n(1) TIGER-Lab/MathInstruct · Datasets at Hugging Face. https://huggingface.co/datasets/TIGER-Lab/MathInstruct.\r\n(2) Mathematical Reasoning: Open-Source LLMs with Hybrid Instructional .... https://news.superagi.com/2023/09/12/mathematical-reasoning-mammoth-models-elevate-open-source-llms-with-hybrid-instructional-techniques/.\r\n(3) OpenDataLab 引领AI大模型时代的开放数据平台. https://opendatalab.com/OpenDataLab/MathInstruct.\r\n(4) MathInstruct. https://www.modelscope.cn/datasets/AI-ModelScope/MathInstruct/summary.\r\n(5) undefined. https://tiger-ai-lab.github.io/MAmmoTH/.","description_withheld":null,"homepage":"https://tiger-ai-lab.github.io/MAmmoTH","introduced_date":"2023-09-11","introduced_date_note":null,"introduced_by":{"paper":"/paper/mammoth-building-math-generalist-models","title":"MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning","first_author":"Xiang Yue","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["MathInstruct"],"data_loaders":[],"num_papers_in_archive":53,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}