We-Math

We-Math is a benchmark for understanding images combined with text. The official description says: "We-Math - visual mathematical reasoning benchmark evaluating step-by-step problem solving". Below we describe in simple words what benchmarks of this type generally examine.

We-Math measures understanding images combined with text. In detail, it checks:

• answering questions about images (figures, photos, charts, memes)
• reading text inside images and connecting it to the question
• visual reasoning such as counting, locating and comparing objects
• combining what is seen with general knowledge

The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better.

Official methodology note: We-Math - visual mathematical reasoning benchmark evaluating step-by-step problem solving.

What is the We-Math benchmark?

We-Math is a benchmark for understanding images combined with text. The official description says: 'We-Math - visual mathematical reasoning benchmark evaluating step-by-step problem solving'. Below we describe in simple words what benchmarks of this type generally examine.

What does We-Math test?

We-Math mainly measures understanding images combined with text. Concretely, it checks: answering questions about images (figures, photos, charts, memes); reading text inside images and connecting it to the question; visual reasoning such as counting, locating and comparing objects.

How is the We-Math score calculated?

The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better.

Where do I get We-Math data and scores?

The official benchmark page/reference is linked on this page. Every score on Open LLM Radar is also available as open data: download the scores JSON (http://open-llm-radar-api:8000/api/v1/benchmarks/we-math/scores) or pull it directly from the Open LLM Radar API with any HTTP client.