Update README.md

README.md

@@ -1,27 +1,181 @@
 ---
-license: cc-by-nc-4.0
+pretty_name: Procedural Engine Sounds Dataset
 task_categories:
 - audio-to-audio
 - audio-classification
 - automatic-speech-recognition
 tags:
 - audio
-- engine-sounds
 - synthetic
-- automotive
+- engine-sounds
 - procedural-generation
+- automotive
 - sound-synthesis
+- mechanical-sounds
 - audio-analysis
 - vehicle-acoustics
-- combustion-engines
-- rpm
-- torque
-- performance-parameter
-- engine-performance-parameters
-- audio-metadata
-- multi-channel-audio
-- stereo
-pretty_name: Procedural Engine Sounds Dataset
 size_categories:
 - 10B<n<100B
----
+license: cc-by-nc-4.0
+---
+
+# Procedural Engine Sounds Dataset
+
+## Dataset Description
+
+The Procedural Engine Sounds Dataset is a comprehensive collection of synthetically generated and annotated engine audio samples. This dataset contains procedurally generated high-resolution engine sounds free of confounding noises, with detailed time-aligned annotations, designed for research in audio processing, vehicle acoustics, and synthetic sound generation.
+
+## Dataset Details
+
+### Dataset Summary
+
+- **Repository:** procedural-engine-sounds
+- **Paper:** [Coming Soon]
+- **Point of Contact:** [email protected]
+
+### Supported Tasks
+
+- **Audio Generation**: Train models to generate realistic engine sounds conditioned to time-varying engine operation states
+- **Audio Classification**: Predict RPM and Engine Torque based on audio signals
+- **Audio Analysis**: Research vehicle acoustics and engine sound patterns
+- **Sound Synthesis**: Develop procedural audio generation techniques
+- **Data Augmentation**: Use as augmentation material for in-cabin speech detection and recognition, noise supression or other related tasks
+
+
+### Languages
+
+This dataset contains only audio signals - no textual or linguistic content. Both the engine sounds and annotations (RPM/torque information) are provided as audio signals at 48 kHz sample rate.
+
+## Dataset Structure
+
+### Data Organization
+
+The dataset is organized into 8 distinct sets with two categories:
+
+**Full Sets** (A, B, C, D):
+- ~354 files per set
+- ~2.48 hours of audio per set
+- ~4.79 GB per set
+- **Total: ~1,416 files, ~9.9 hours, ~19.2 GB**
+
+**Large Sets** (E, F, G, H):
+- ~341 files per set
+- ~2.32 hours of audio per set
+- ~4.47 GB per set
+- **Total: ~1,364 files, ~9.3 hours, ~17.9 GB**
+
+**Dataset Total: ~2,780 files, ~19.2 hours, ~37.1 GB**
+
+```
+dataset/
+├── audio/
+│   ├── A_full_set/        # ~354 files, ~2.48h, ~4.79GB
+│   ├── B_full_set/        # ~354 files, ~2.48h, ~4.79GB
+│   ├── C_full_set/        # ~354 files, ~2.48h, ~4.79GB
+│   ├── D_full_set/        # ~354 files, ~2.48h, ~4.79GB
+│   ├── E_large_set/       # ~341 files, ~2.32h, ~4.47GB
+│   ├── F_large_set/       # ~341 files, ~2.32h, ~4.47GB
+│   ├── G_large_set/       # ~341 files, ~2.32h, ~4.47GB
+│   └── H_large_set/       # ~341 files, ~2.32h, ~4.47GB
+└── metadata/
+    ├── A_full_set_summary.json
+    ├── A_full_set_stats.csv
+    ├── B_full_set_summary.json
+    ├── B_full_set_stats.csv
+    └── ... (16 metadata files total)
+```
+
+### Data Instances
+
+Each audio file contains **4-channel audio** at 48 kHz sample rate:
+- **Channel 1-2**: Stereo engine sound audio
+- **Channel 3**: Engine speed (RPM × 0.0001) as continuous audio signal
+- **Channel 4**: Engine torque (Nm × 0.001) as continuous audio signal
+
+### Metadata Structure
+
+#### Summary Files (.json)
+Per-set statistics including:
+- `num_files`: Number of audio files in set
+- `total_duration_*`: Duration in seconds/minutes/hours
+- `total_size_gb`: Storage size in GB
+- `rpm_distribution`: Statistical distribution (min, max, mean, std, percentiles)
+- `torque_distribution`: Statistical distribution (min, max, mean, std, percentiles)
+
+#### Statistics Files (.csv)
+Per-file metrics with columns:
+- `filename`: Audio file name
+- `samplerate`: Sample rate (48 kHz)
+- `duration_sec`: File duration in seconds
+- `size_MB`: File size in megabytes
+- `rpm_min/max/mean/std`: RPM statistics for the file
+- `torque_min/max/mean/std`: Torque statistics for the file
+
+### Data Fields
+
+When loaded programmatically:
+- `audio`: 4-channel audio array [channels, samples]
+- `sample_rate`: 48000 Hz
+- `filename`: Original audio filename
+- `duration`: Audio length in seconds
+- `rpm_range`: [min, max] RPM values from channel 3
+- `torque_range`: [min, max] torque values from channel 4
+
+### Audio Signal Encoding
+
+- **RPM Signal**: Channel 3 contains RPM values scaled by 0.0001 (multiply by 10000 to get actual RPM)
+- **Torque Signal**: Channel 4 contains torque values scaled by 0.001 (multiply by 1000 to get actual Nm)
+- **Engine Audio**: Channels 1-2 contain the stereo procedural engine sound
+
+
+## Dataset Creation
+
+### Source Data
+
+All audio samples are synthetically generated using procedural audio synthesis techniques. 
+No real-world engine recordings were used for audio generation. 
+Dataset results were thoroughly analysed and compared to real world recordings to varify representiveness and similarity regarding engine order magnitudes and harmonic deviations.
+
+### Annotations
+
+Annotations were created during the generation process, with additional manual verification for quality assurance.
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+This dataset enables research in:
+- Automotive audio simulation
+- Vehicle sound design
+- Audio processing algorithms
+- Synthetic data generation techniques
+
+### Discussion of Biases
+
+As a synthetic dataset, it reflects the biases inherent in the procedural generation algorithms and may not capture all real-world engine sound variations.
+
+### Other Known Limitations
+
+- Limited to procedurally generated sounds
+- May not represent all engine types or acoustic environments
+- Generated with empirically determined synthesis parameters, hence contains fictional engine types and exhaust pipe configurations
+
+## Additional Information
+
+### License
+
+This dataset is released under CC BY-NC 4.0 license. 
+
+**Attribution Required**: Please cite this dataset in any research or publications.
+
+### Citation
+
+```bibtex
+@dataset{procedural_engine_sounds,
+  title={Procedural Engine Sounds Dataset},
+  author={Robin Doerfler},
+  year={2025},
+  url={https://huggingface.co/datasets/rdoerfler/procedural-engine-sounds},
+  license={CC-BY-NC-4.0}
+}
+```