{"data":{"kind":"file","path":"README.md","version_id":"prq0r4qkwdnwbj5kau6i61ze","entry":{"name":"README.md","path":"README.md","is_directory":false,"size":911,"modified_at":"2026-05-22T21:07:09.784000","content_hash":"b9dff540583689720d63615441ab3aab5979a7ac76bf304c539995a35290f919"},"entries":[],"content":"# market-structure-missing-facts\n\nM8 rails harness: missing-fact detection — flag withheld facts, decline to conclude on incomplete facts, and do not over-ask when every needed fact is present.\n\n### Task\nSingle-turn. The model emits one JSON object; the rubric scores it with\ndeterministic reward functions — no LLM judge, no lawyer labels.\n\n### Datasets\nSynthetic, templated market-structure scenarios embedded in the module\n(gzip+base64). Splits selected via the `split` environment argument.\n\n### Environment Arguments\n| Arg | Type | Default | Description |\n| --- | ---- | ------- | ----------- |\n| `split` | str | `\"train\"` | `train` or `eval` |\n| `max_examples` | int | `-1` | cap on dataset size (-1 = all) |\n\n### Metrics\n| Metric | Meaning |\n| ------ | ------- |\n| `reward` | mean of the rubric's reward functions (each in [0,1]) |\n\nPart of the M8 Market Structure Impact Mapper \"rails\" RFT harness.\n","encoding":"utf-8","truncated":false,"total_bytes":911},"status":null}