Datasets:
| # FireWorldBench v2 evaluation toolkit | |
| This is a copy of the FireWorldBench-ICLR evaluation code, task contracts, and schemas. Source repository and commit are recorded in `UPSTREAM.md`. The code license is in `LICENSE`; the bundled dataset license is at `../../DATA_LICENSE.md`. | |
| ## Install | |
| From the FireWorldBench v2 repository root: | |
| ```powershell | |
| python -m pip install -r evaluation/FireWorldBench-ICLR/requirements.txt | |
| ``` | |
| Python 3.8 or newer is required. The included runner uses an OpenAI-compatible HTTP endpoint; configure `OPENAI_BASE_URL`, `OPENAI_API_KEY`, and `OPENAI_MODEL` in the environment. | |
| ## Run the bundled benchmark | |
| From the FireWorldBench v2 repository root: | |
| ```powershell | |
| python evaluation/FireWorldBench-ICLR/scripts/run_eval.py --split main_synthetic --data-dir . | |
| ``` | |
| The v2 package root is the data directory because it contains `main_synthetic/full_test_A/`. The runner reads questions and referenced images, never gold. After inference, the scorer reads matching gold rows by `qa_id` and writes six metrics under `results/`. | |
| Use `--track S` for text-only models or `--track I` for vision models; omit `--track` to run both. Add `--max-requests 2` for a small endpoint connectivity check. | |
| The scripts in `scripts/contracts/` contain the frozen task contracts. The direct API runner accepts an optional `--task-contract` file for contract-controlled runs. See `python evaluation/FireWorldBench-ICLR/scripts/run_eval.py --help` and `python evaluation/FireWorldBench-ICLR/scripts/run_api.py --help` for all options. | |