Dataset · Hugging Face

We-Math/We-Math2.0-Pro

Name: We-Math2.0-Pro
Creator: We-Math
License: cc-by-nc-4.0
Keywords: license:cc-by-nc-4.0, size_categories:1K<n<10K, format:parquet, modality:image, modality:text, library:datasets, library:dask, library:mlcroissant, library:polars, arxiv:2508.10433, region:us

Dataset Card for We-Math 2.0 GitHub | Paper | Website We-Math 2.0 is a unified system designed to comprehensively enhance the mathematical reasoning capabilities of Multimodal Large Language Models (MLLMs). It integrates a structured mathematical knowledge system, model-centric data space modeling, and a reinforcement learning (RL)-based training paradigm to achieve both broad conceptual coverage and robust reasoning performance across varying difficulty levels. The key… See the full description on the dataset page: https://huggingface.co/datasets/We-Math/We-Math2.0-Pro.

View on Hugging FaceReport an issue

Author / organization	We-Math
License (as declared)	cc-by-nc-4.0
Downloads	249 (as reported by Hugging Face)
Likes	21
Created	14 August 2025
Last updated at source	19 August 2025

Embed this entry

<iframe src="https://silytics.si/embed/item/efc69792-48f2-4eb9-b4df-6c51fedd0cd5" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

More from We-Math

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 Information may be incomplete or out of date.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.