Datasetpublic

TwinPeaksTownie/Reachy_RENS

Reachy RENS - Motor Noise Dataset Crowdsourced recordings of Reachy Mini robot motor noise for training ego-noise suppression models. Purpose This dataset enables training of real-time motor noise cancellation models (DTLN) that can: Remove motor whine from live audio streams Improve audio analysis (beat detection, speech recognition) Create cleaner livestream audio for robotics applications Structure data/ ├── {user_hash_1}/ │ ├──… See the full description on the dataset page: https://huggingface.co/datasets/TwinPeaksTownie/Reachy_RENS.

sourceHugging Facecc-by-4.0updated 10mo agoView on Hugging Face

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Dataset Card

Reachy RENS - Motor Noise Dataset

Crowdsourced recordings of Reachy Mini robot motor noise for training ego-noise suppression models.

Purpose

This dataset enables training of real-time motor noise cancellation models (DTLN) that can:

—Remove motor whine from live audio streams
—Improve audio analysis (beat detection, speech recognition)
—Create cleaner livestream audio for robotics applications

Structure

data/
├── {user_hash_1}/
│   ├── background.wav    # 15s room tone (silence)
│   ├── idle.wav          # 15s idle/breathing motor noise
│   ├── active.wav        # 30s active dance motor noise
│   └── metadata.json     # Recording metadata
├── {user_hash_2}/
│   └── ...

Recording Specs

—Sample Rate: 16kHz
—Channels: Mono
—Format: WAV (16-bit PCM)
—Total Duration: ~60s per contributor

Contributing

Use the RENS data collector script:

bash

pip install huggingface_hub sounddevice soundfile requests
huggingface-cli login
python rens_data_collector.py

Privacy

—Contributors are identified by anonymized hash only
—No personal information is collected
—Audio is reviewed locally before upload consent

License

CC-BY-4.0 - Free to use with attribution

Project

Part of the RENS (Reachy Ego-Noise Suppression) project. https://github.com/TwinPeaksTownie/reachy-mini