{"data":{"kind":"file","path":"README.md","version_id":"gl35r2lt7y0wpof3uvn4tql2","entry":{"name":"README.md","path":"README.md","is_directory":false,"size":1502,"modified_at":"2026-02-06T11:15:14.996000","content_hash":"b6a7292806f0b4486e59ab3d63258d84cf1619652017bd836a5a1e9b67bf5e38"},"entries":[],"content":"# mmmu\n\n<a href=\"https://github.com/PrimeIntellect-ai/verifiers/tree/main/environments/mmmu\">\n<img src=\"https://img.shields.io/badge/GitHub-181717?style=for-the-badge&logo=github&logoColor=white\" alt=\"Source Code\">\n</a>\n\n### Overview\n- **Environment ID**: `mmmu`\n- **Short description**: <one-sentence description>\n- **Tags**: <comma-separated tags>\n\n### Datasets\n- **Primary dataset(s)**: <name(s) and brief description>\n- **Source links**: <links>\n- **Split sizes**: <train/eval counts>\n\n### Task\n- **Type**: <single-turn | multi-turn | tool use>\n- **Rubric overview**: <briefly list reward functions and key metrics>\n\n### Quickstart\nRun an evaluation with default settings:\n\n```bash\nprime eval run mmmu\n```\n\nConfigure model and sampling:\n\n```bash\nprime eval run mmmu   -m gpt-4.1-mini   -n 20 -r 3 -t 1024 -T 0.7   -a '{\"key\": \"value\"}'  # env-specific args as JSON\n```\n\nNotes:\n- Use `-a` / `--env-args` to pass environment-specific configuration as a JSON object.\n\n### Environment Arguments\nDocument any supported environment arguments and their meaning. Example:\n\n| Arg | Type | Default | Description |\n| --- | ---- | ------- | ----------- |\n| `foo` | str | `\"bar\"` | What this controls |\n| `max_examples` | int | `-1` | Limit on dataset size (use -1 for all) |\n\n### Metrics\nSummarize key metrics your rubric emits and how they’re interpreted.\n\n| Metric | Meaning |\n| ------ | ------- |\n| `reward` | Main scalar reward (weighted sum of criteria) |\n| `accuracy` | Exact match on target answer |\n\n","encoding":"utf-8","truncated":false,"total_bytes":1502},"status":null}