AI4Math/MathVerse
Dataset Card for MathVerse Dataset Description Paper Information Dataset Examples Leaderboard Citation Dataset Description The capabilities of Multi-modal Large Language Models (MLLMs) in visual math problem-solving remain insufficiently evaluated and understood. We investigate current benchmarks to incorporate excessive visual content within textual questions, which potentially assist MLLMs in deducing answers without truly interpreting the input diagrams.… See the full description on the dataset page: https://huggingface.co/datasets/AI4Math/MathVerse.
| Author / organization | AI4Math |
|---|---|
| License (as declared) | mit |
| Downloads | 4.4K (as reported by Hugging Face) |
| Likes | 72 |
| Created | 21 March 2024 |
| Last updated at source | 15 May 2025 |
Connected in the knowledge graph
- mradermacher/VLM-R1-Qwen2.5VL-3B-Math-0305-GGUFModel · used to train
- omlab/VLM-R1-Qwen2.5VL-3B-Math-0305Model · used to train
Recent changes
- 16 Oct 2026 Description: Dataset Card for MathVerse Dataset Description Paper Information Dataset Examples Leaderboard Citation Dataset Description The capabilities of Multi-modal Large Language Models (MLLMs) in visual math problem-solvingremain insufficiently eva → Dataset Card for MathVerse Dataset Description Paper Information Dataset Examples Leaderboard Citation Dataset Description The capabilities of Multi-modal Large Language Models (MLLMs) in visual math problem-solving remain insufficiently ev
Changes detected by Silytics between refreshes of the source.
More from AI4Math
- AI4Math/MathVistaDataset
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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.