{"data":{"kind":"file","path":"README.md","version_id":"op0qdkt9f4i9qmuvwznjbmkd","entry":{"name":"README.md","path":"README.md","is_directory":false,"size":1649,"modified_at":"2026-01-07T02:49:07.529000","content_hash":"92b2d87f6d68e94ef54c51241f04d1b64366eb0f87032f74d433a42df04970a5"},"entries":[],"content":"# boolq\n\n### Overview\n- **Environment ID**: `boolq`\n- **Short description**: Naturally-occurring yes/no question evaluation environment\n- **Tags**: text, single-turn, eval\n\n### Datasets\n- **Primary dataset(s)**: `google/boolq`, triplets of passage/question/answer\n- **Source links**: [google/boolq](https://huggingface.co/datasets/google/boolq)\n- **Split sizes**: Uses `train` split\n\n### Task\n- **Type**: single-turn\n- **Parser**: `MaybeThinkParser` (uses `ThinkParser` if thinking, otherwise uses a basic `Parser`) \n- **Rubric overview**: Binary reward based on correct or incorrect response.\n\n### Quickstart\nRun an evaluation with default settings:\n\n```bash\nuv run vf-eval boolq\n```\n\nConfigure model and sampling:\n\n```bash\nuv run vf-eval boolq   -m gpt-4.1-mini   -n 20 -r 3 -t 1024 -T 0.7\n```\n\nNotes:\n- Use `-a` / `--env-args` to pass environment-specific configuration as a JSON object.\n\n### Environment Arguments\n\n| Arg | Type | Default | Description |\n| --- | ---- | ------- | ----------- |\n| `dataset_split` | str | `\"train\"` | Dataset split to use. |\n| `dataset_subset` | str | `\"default\"` | Dataset subset. |\n| `dataset_name` | str | `\"google/boolq\"` | HuggingFace dataset name. |\n| `system_prompt` | str | `None` | Overrides the default prompt with a custom one if supplied. |\n| `chain_of_thought` | bool | `False` | If True, the model will output a step-by-step reasoning trace before stating its answer. Otherwise, it will just output its answer. |\n\n### Metrics\nSummarize key metrics your rubric emits and how they’re interpreted.\n\n| Metric | Meaning |\n| ------ | ------- |\n| `reward` | 1.0 if parsed answer equals target, else 0.0. |\n","encoding":"utf-8","truncated":false,"total_bytes":1649},"status":null}