# Submitting to the RIR-Mega Leaderboard

Thanks for evaluating on RIR-Mega! To submit a score, open a Pull Request that:
1) Appends a row to the **Leaderboard** table in `dataset_card.md`.
2) Includes the info below in the PR description (template provided).

## Required details
- **Method name + link** to code (GitHub/HF Space/Gist)
- **Exact command** used, including `--target` if set
- **Dataset tag** used (e.g., `v1.0.0`) and your commit hash if relevant
- **Seed** (default baseline uses `random_state=0`)
- **Train/Valid sizes** used (number of samples consumed)
- **MAE (s)** and **RMSE (s)**

## Reproducing the baseline
```bash
pip install soundfile numpy pandas scikit-learn
python benchmarks/rt60_regression/train_rt60.py
# or specify a target key that exists in metrics:
python benchmarks/rt60_regression/train_rt60.py --target rt60
```

## Targets
Common keys found in `metrics` (case-sensitive):  
`rt60`, `drr_db`, `c50_db`, `c80_db`, `band_rt60s.125`, `band_rt60s.250`, `band_rt60s.500`, `band_rt60s.1000`, `band_rt60s.2000`, `band_rt60s.4000`

If you use a different target, please document it clearly.