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CITATION.cff

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+cff-version: 1.2.0
+message: "If you use this dataset, please cite it as below."
+type: dataset
+title: "Procedural Engine Sounds Dataset"
+authors:
+  - family-names: "Doerfler"
+    given-names: "Robin"
+    orcid: "https://orcid.org/0009-0007-3904-1941"
+version: "1.0.0"
+date-released: 2025-08-15
+url: "https://huggingface.co/datasets/rdoerfler/procedural-engine-sounds"
+repository-code: "https://huggingface.co/datasets/rdoerfler/procedural-engine-sounds"
+license: "CC-BY-NC-4.0"
+keywords:
+  - "audio"
+  - "synthetic data"
+  - "engine sounds"
+  - "procedural generation"
+  - "automotive"
+  - "sound synthesis"
+  - "mechanical sounds"
+  - "vehicle acoustics"
+abstract: |
+  The Procedural Engine Sounds Dataset is a comprehensive collection of 
+  synthetically generated and annotated engine audio samples. This dataset 
+  contains procedurally generated engine sounds with detailed annotations 
+  encoded as 4-channel audio, designed for research in audio processing, 
+  vehicle acoustics, and synthetic sound generation. The dataset includes 
+  5.935 high resolution audio files (48 kHz, 16 bit) totaling ~19 hours 
+  and 24.47 GB of content across 8 distinct sets, with RPM and torque 
+  information embedded as continuous audio signals alongside stereo engine sounds.
+preferred-citation:
+  type: dataset
+  title: "Procedural Engine Sounds Dataset"
+  authors:
+    - family-names: "Doerfler"
+      given-names: "Robin"
+  year: 2025
+  url: "https://huggingface.co/datasets/rdoerfler/procedural-engine-sounds"

LICENSE

@@ -0,0 +1,409 @@
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README.md

@@ -53,36 +53,36 @@ This dataset contains only audio signals - no textual or linguistic content. Bot
 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**
+- 3,068 files total (across 4 sets)
+- ~9.83 hours of audio total
+- ~12.65 GB total
+- **Per set (average): ~767 files, ~2.46 hours, ~3.16 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**
+- 2,867 files total (across 4 sets)
+- ~9.18 hours of audio total
+- ~11.82 GB total
+- **Per set (average): ~717 files, ~2.30 hours, ~2.96 GB**
 
-**Dataset Total: ~2,780 files, ~19.2 hours, ~37.1 GB**
+**Dataset Total: 5,935 files, ~19.01 hours, ~24.47 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
+│   ├── A_full_set/
+│   ├── B_full_set/
+│   ├── C_full_set/
+│   ├── D_full_set/
+│   ├── E_large_set/
+│   ├── F_large_set/
+│   ├── G_large_set/
+│   └── H_large_set/
 └── 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)
+    └── … (16 metadata files total)
 ```
 
 ### Data Instances
@@ -123,8 +123,8 @@ When loaded programmatically:
 
 ### 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)
+- **RPM Signal**: Channel 3 contains engine speed values in RPM scaled by 0.0001 (multiply by 10000 to get actual RPM)
+- **Torque Signal**: Channel 4 contains torque values in Newton meters scaled by 0.001 (multiply by 1000 to get actual Nm)
 - **Engine Audio**: Channels 1-2 contain the stereo procedural engine sound
 
 

dataset/audio/A_full_set/001_Engine-A.wav

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