Dataset Viewer
Auto-converted to Parquet Duplicate
audio
audio
filename
string
bpm
int64
set_id
string
track_id
string
100bpm_tr8_drm_id_001_0017.wav
100
001
0017
100bpm_tr8_drm_id_001_0049.wav
100
001
0049
100bpm_tr8_drm_id_001_0075.wav
100
001
0075
100bpm_tr8_drm_id_001_0102.wav
100
001
0102
100bpm_tr8_drm_id_001_0144.wav
100
001
0144
100bpm_tr8_drm_id_001_0148.wav
100
001
0148
100bpm_tr8_drm_id_001_0163.wav
100
001
0163
100bpm_tr8_drm_id_001_0169.wav
100
001
0169
100bpm_tr8_drm_id_001_0199.wav
100
001
0199
100bpm_tr8_drm_id_001_0204.wav
100
001
0204
100bpm_tr8_drm_id_001_0263.wav
100
001
0263
100bpm_tr8_drm_id_001_0281.wav
100
001
0281
100bpm_tr8_drm_id_001_0298.wav
100
001
0298
100bpm_tr8_drm_id_001_0302.wav
100
001
0302
100bpm_tr8_drm_id_001_0321.wav
100
001
0321
100bpm_tr8_drm_id_001_0342.wav
100
001
0342
100bpm_tr8_drm_id_001_0350.wav
100
001
0350
100bpm_tr8_drm_id_001_0368.wav
100
001
0368
100bpm_tr8_drm_id_001_0376.wav
100
001
0376
100bpm_tr8_drm_id_001_0397.wav
100
001
0397
100bpm_tr8_drm_id_001_0401.wav
100
001
0401
100bpm_tr8_drm_id_001_0424.wav
100
001
0424
100bpm_tr8_drm_id_001_0434.wav
100
001
0434
100bpm_tr8_drm_id_001_0450.wav
100
001
0450
100bpm_tr8_drm_id_001_0455.wav
100
001
0455
100bpm_tr8_drm_id_001_0467.wav
100
001
0467
100bpm_tr8_drm_id_001_0482.wav
100
001
0482
100bpm_tr8_drm_id_001_0489.wav
100
001
0489
100bpm_tr8_drm_id_001_0495.wav
100
001
0495
100bpm_tr8_drm_id_002_0042.wav
100
002
0042
100bpm_tr8_drm_id_002_0056.wav
100
002
0056
100bpm_tr8_drm_id_002_0084.wav
100
002
0084
100bpm_tr8_drm_id_002_0094.wav
100
002
0094
100bpm_tr8_drm_id_002_0124.wav
100
002
0124
100bpm_tr8_drm_id_002_0137.wav
100
002
0137
100bpm_tr8_drm_id_002_0180.wav
100
002
0180
100bpm_tr8_drm_id_002_0200.wav
100
002
0200
100bpm_tr8_drm_id_002_0239.wav
100
002
0239
100bpm_tr8_drm_id_002_0297.wav
100
002
0297
100bpm_tr8_drm_id_002_0315.wav
100
002
0315
100bpm_tr8_drm_id_002_0316.wav
100
002
0316
100bpm_tr8_drm_id_002_0325.wav
100
002
0325
100bpm_tr8_drm_id_002_0330.wav
100
002
0330
100bpm_tr8_drm_id_002_0338.wav
100
002
0338
100bpm_tr8_drm_id_002_0344.wav
100
002
0344
100bpm_tr8_drm_id_002_0400.wav
100
002
0400
100bpm_tr8_drm_id_002_0434.wav
100
002
0434
100bpm_tr8_drm_id_002_0443.wav
100
002
0443
100bpm_tr8_drm_id_003_0004.wav
100
003
0004
100bpm_tr8_drm_id_003_0005.wav
100
003
0005
100bpm_tr8_drm_id_003_0023.wav
100
003
0023
100bpm_tr8_drm_id_003_0059.wav
100
003
0059
100bpm_tr8_drm_id_003_0069.wav
100
003
0069
100bpm_tr8_drm_id_003_0083.wav
100
003
0083
100bpm_tr8_drm_id_003_0102.wav
100
003
0102
100bpm_tr8_drm_id_003_0115.wav
100
003
0115
100bpm_tr8_drm_id_003_0177.wav
100
003
0177
100bpm_tr8_drm_id_003_0184.wav
100
003
0184
100bpm_tr8_drm_id_003_0190.wav
100
003
0190
100bpm_tr8_drm_id_003_0204.wav
100
003
0204
100bpm_tr8_drm_id_003_0205.wav
100
003
0205
100bpm_tr8_drm_id_003_0223.wav
100
003
0223
100bpm_tr8_drm_id_003_0242.wav
100
003
0242
100bpm_tr8_drm_id_003_0271.wav
100
003
0271
100bpm_tr8_drm_id_003_0284.wav
100
003
0284
100bpm_tr8_drm_id_003_0316.wav
100
003
0316
100bpm_tr8_drm_id_003_0337.wav
100
003
0337
100bpm_tr8_drm_id_003_0339.wav
100
003
0339
100bpm_tr8_drm_id_003_0381.wav
100
003
0381
100bpm_tr8_drm_id_003_0401.wav
100
003
0401
100bpm_tr8_drm_id_003_0434.wav
100
003
0434
100bpm_tr8_drm_id_003_0480.wav
100
003
0480
100bpm_tr8_drm_id_004_0005.wav
100
004
0005
100bpm_tr8_drm_id_004_0068.wav
100
004
0068
100bpm_tr8_drm_id_004_0085.wav
100
004
0085
100bpm_tr8_drm_id_004_0088.wav
100
004
0088
100bpm_tr8_drm_id_004_0149.wav
100
004
0149
100bpm_tr8_drm_id_004_0173.wav
100
004
0173
100bpm_tr8_drm_id_004_0184.wav
100
004
0184
100bpm_tr8_drm_id_004_0216.wav
100
004
0216
100bpm_tr8_drm_id_004_0220.wav
100
004
0220
100bpm_tr8_drm_id_004_0280.wav
100
004
0280
100bpm_tr8_drm_id_004_0308.wav
100
004
0308
100bpm_tr8_drm_id_004_0323.wav
100
004
0323
100bpm_tr8_drm_id_004_0367.wav
100
004
0367
100bpm_tr8_drm_id_004_0432.wav
100
004
0432
100bpm_tr8_drm_id_004_0495.wav
100
004
0495
100bpm_tr8_drm_id_005_0035.wav
100
005
0035
100bpm_tr8_drm_id_005_0042.wav
100
005
0042
100bpm_tr8_drm_id_005_0071.wav
100
005
0071
100bpm_tr8_drm_id_005_0073.wav
100
005
0073
100bpm_tr8_drm_id_005_0076.wav
100
005
0076
100bpm_tr8_drm_id_005_0086.wav
100
005
0086
100bpm_tr8_drm_id_005_0134.wav
100
005
0134
100bpm_tr8_drm_id_005_0189.wav
100
005
0189
100bpm_tr8_drm_id_005_0230.wav
100
005
0230
100bpm_tr8_drm_id_005_0263.wav
100
005
0263
100bpm_tr8_drm_id_005_0342.wav
100
005
0342
100bpm_tr8_drm_id_005_0383.wav
100
005
0383
100bpm_tr8_drm_id_005_0388.wav
100
005
0388
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WaivOps_EDM-TR8_TR-808

Quick Start

from datasets import load_dataset

ds = load_dataset("schismaudio/waivops-edm-tr8", streaming=True)

Dataset Description

Part of the Patchbanks WaivOps collection of AI-generated drum loop datasets.

  • Genre: EDM-TR-808
  • Loops: 3790
  • Duration: ~9 hours
  • Format: 16-bit stereo WAV @ 44.1kHz + JSON metadata
  • BPM Range: 95-130
  • License: CC-BY-4.0

Each WAV file is paired with a JSON metadata file containing MIDI note data and tempo labels.

Source

Citation

@misc{patchbanks_waivops,
  author = {Patchbanks},
  title  = {WaivOps_EDM-TR8_TR-808},
  year   = {2024},
  url    = {https://zenodo.org/records/13257814},
}

Related Datasets

Part of the SchismAudio drum dataset ecosystem.

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Collection including schismaudio/waivops-edm-tr8