Sign inGet started
Dataset · Hugging Face

azminetoushikwasi/math-story-problems

Math Story Problems Dataset Dataset Description This dataset contains mathematical word problems presented in multiple formats, from direct equations to complex story-based scenarios. It is designed for training and evaluating language models on mathematical reasoning tasks. Dataset Structure The dataset is split into three parts: Train: 131,072 samples Validation: 1,024 samples Test: 3,072 samples Features { "eq_qs": "string"… See the full description on the dataset page: https://huggingface.co/datasets/azminetoushikwasi/math-story-problems.

Author / organizationazminetoushikwasi
License (as declared)mit
Downloads424 (as reported by Hugging Face)
Likes1
Created6 April 2025
Last updated at source1 May 2025
mathematicsword-problemsreasoningeducationreasoning-datasets-competition
Embed this entry
<iframe src="https://silytics.si/embed/item/efda8353-e57d-4c2a-9918-f0b980ca5d17" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 3 days

424 now (-3 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Recent changes

  • 16 Oct 2026 Description: Math Story Problems Dataset Dataset Description This dataset contains mathematical word problems presented in multiple formats, from direct equations to complex story-based scenarios. It is designed for training and evaluating language mode → Math Story Problems Dataset Dataset Description This dataset contains mathematical word problems presented in multiple formats, from direct equations to complex story-based scenarios. It is designed for training and evaluating language mode

Changes detected by Silytics between refreshes of the source.

More from azminetoushikwasi

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.