Hwilner/imo-gradingbench
IMO-GradingBench Dataset Description IMO-GradingBench is a benchmark dataset for evaluating the automatic grading capabilities of large language models. It consists of 1,000 human gradings of model-generated solutions to mathematical problems. This dataset is part of the IMO-Bench suite, released by Google DeepMind in conjunction with their 2025 IMO gold medal achievement. Supported Tasks and Leaderboards The primary task for this dataset is… See the full description on the dataset page: https://huggingface.co/datasets/Hwilner/imo-gradingbench.
| Author / organization | Hwilner |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 479 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 5 November 2025 |
| Last updated at source | 8 November 2025 |
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- 16 Oct 2026 Description: IMO-GradingBench Dataset Description IMO-GradingBench is a benchmark dataset for evaluating the automatic grading capabilities of large language models. It consists of 1,000 human gradings of model-generated solutions to mathematical proble → IMO-GradingBench Dataset Description IMO-GradingBench is a benchmark dataset for evaluating the automatic grading capabilities of large language models. It consists of 1,000 human gradings of model-generated solutions to mathematical proble
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