{"data":{"kind":"file","path":"README.md","version_id":"lb40xxs96v2ui4fui1z51ydg","entry":{"name":"README.md","path":"README.md","is_directory":false,"size":1531,"modified_at":"2026-03-09T18:01:57.872000","content_hash":"2fc5de01525567aaedfae69eed0df7918ed37215c8452ac1b72aa39f8b6936ba"},"entries":[],"content":"# financial-risk-assessment\n\nThis environment assesses a model's ability to identify and quantify financial risks based on provided company data. It evaluates understanding of financial statements and market indicators.\n\n## Overview\n\n**Domain**: finance\n**Base Class**: SingleTurnEnv\n**Difficulty**: medium\n**Task**: The model must analyze a company's financial profile and market context to determine its overall risk level (low, medium, high).\n\n## Quickstart\n\n### Installation\n\n```bash\nuv run vf-install financial-risk-assessment\n```\n\n### Usage\n\n```python\nimport verifiers as vf\n\nenv = vf.load_environment(\"financial-risk-assessment\")\nresults = env.evaluate_sync(\n    client=vf.OpenAI(),\n    model=\"gpt-4.1-mini\",\n    num_examples=10,\n    rollouts_per_example=1\n)\n```\n\n### Evaluation\n\nRun an evaluation with default settings:\n\n```bash\nuv run vf-eval financial-risk-assessment\n```\n\nConfigure model and sampling:\n\n```bash\nuv run vf-eval financial-risk-assessment \\\n  -m gpt-4.1-mini \\\n  -n 20 -r 3 -t 1024 -T 0.7\n```\n\n## Environment Arguments\n\n| Arg | Type | Default | Description |\n|-----|------|---------|-------------|\n| `num_examples` | int | 1000 | Number of training examples |\n| `num_eval_examples` | int | 100 | Number of evaluation examples |\n| `seed` | int | 42 | Random seed for reproducibility |\n\n## Metrics\n\n| Metric | Meaning |\n|--------|---------|\n| `reward` | Primary reward signal |\n| `format_reward` | Format adherence reward (if applicable) |\n\n## About\n\nGenerated by synthetic-rl-env-creator.\n\n**Tags**: finance\n","encoding":"utf-8","truncated":false,"total_bytes":1531},"status":null}