{"data":{"kind":"file","path":"README.md","version_id":"fr8g01k5u64wbmkziodsd6ux","entry":{"name":"README.md","path":"README.md","is_directory":false,"size":1028,"modified_at":"2026-06-23T18:32:21.105000","content_hash":"98f46896139bb4851aca5ebaf2b18c6dd5048359fa879222fe8998a8de65e061"},"entries":[],"content":"\r\n# Economic Crisis Benchmark\r\n\r\nPrime Intellect environment for predicting historical economic crises from anonymized macro panels.\r\n\r\n## Contents\r\n- 80 examples by default: 40 crisis windows and 40 negative windows\r\n- public data only, no API keys\r\n- anonymized prompt with relative time axis only\r\n- robust JSON-based scoring\r\n\r\n## Data sources\r\n- JST Macrohistory Database R6: https://www.macrohistory.net/database/\r\n- Maddison Project Database 2023: https://www.rug.nl/ggdc/historicaldevelopment/maddison/releases/maddison-project-database-2023?lang=en\r\n- World Bank API helper included for optional extension, no credentials required\r\n\r\n## Run locally\r\n```bash\r\nuv sync --extra dev\r\nuv run python -m economic_crisis_benchmark.build_dataset\r\nuv run pytest\r\n```\r\n\r\n## Prime Intellect\r\n```bash\r\nprime eval run economic-crisis-benchmark\r\nprime env push economic-crisis-benchmark --path . --auto-bump\r\n```\r\n\r\nThe environment module is `economic_crisis_benchmark/economic_crisis_benchmark.py` and exposes `load_environment()`.\r\n","encoding":"utf-8","truncated":false,"total_bytes":1028},"status":null}