Datasets:
				
			
			
	
			
			
	
		
		Submitting to the RIR-Mega Leaderboard
Thanks for evaluating on RIR-Mega! To submit a score, open a Pull Request that:
- Appends a row to the Leaderboard table in 
dataset_card.md. - 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 
--targetif 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
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.