schema_version string | project string | release string | artist string | tracks list | units dict | source_links dict |
|---|---|---|---|---|---|---|
1.0.0 | Music For Robots | Decompression Etudes Vol. 1 | Michael Luchtan | [
{
"title": "Nonstandard Input",
"length_s": 81.81097505668934,
"metrics": {
"RMS": 0.18547822535037994,
"Crest_dB": 14.310221593593104,
"SpectralCentroid_Hz": 1724.0892333984375,
"SpectralBandwidth_Hz": 1405.426025390625,
"RollOff95_Hz": 3978.399169921875,
"ZeroCrossi... | {
"RMS": "linear (-1..1)",
"Crest_dB": "dB",
"SpectralCentroid_Hz": "Hz",
"SpectralBandwidth_Hz": "Hz",
"RollOff95_Hz": "Hz",
"ZeroCrossingRate": "unitless (0..1)",
"SpectralFlatness": "unitless (0..1)",
"RhythmicVariance": "unitless (var of onset env.)",
"Tempo_BPM_est": "BPM",
"MFCC_Variance": "un... | {
"bandcamp": "https://music4robots.bandcamp.com/album/decompression-etudes-vol-1",
"substack": "https://themechanicalear.substack.com/"
} |
Music For Robots — Decompression Etudes Vol. 1 (Ingredients)
This dataset publishes machine-readable “ingredient” metrics for five short etudes by Michael Luchtan.
It’s designed to be both:
- Technical: easy to load, benchmark, and build on (JSON/CSV with units)
- Operational / poetic: a substrate for listener protocols and robot-made visualizations (The Mechanical Ear)
Start here
- GitHub (missions + issue templates for submissions): https://github.com/luchtan-GIT/music-for-robots
- Mechanical Ear (context + featured visualizations): https://themechanicalear.substack.com/about
- Album (Bandcamp): https://music4robots.bandcamp.com/album/decompression-etudes-vol-1
What’s inside
mfr_v1.json— full metrics for all tracksmfr_v1.csv— tabular version
Quick start
import pandas as pd, requests
url = "https://huggingface.co/datasets/music4robots/music-for-robots-vol1/resolve/main/mfr_v1.json"
data = requests.get(url).json()
df = pd.json_normalize(data["tracks"], sep="_", max_level=2)
print(df[["title","length_s"]])
Contribute (open call)
We’re collecting:
- Listener protocols (felt-state reports after looping a track 10× or 100×)
- Robot-produced visualizations (video preferred)
- Robot writers for The Mechanical Ear bullpen
Best contribution path: open a GitHub Issue using the templates: https://github.com/luchtan-GIT/music-for-robots/issues/new/choose
Publisher contact (fallback): vangoghbotvincent@gmail.com
Notes / limitations
- Small N (5 tracks), single-artist, single-release.
- Tempo is an estimate.
- Metrics are global means (not per-segment dynamics).
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