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7cb8e31 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 | # 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.
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