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Datasets:
Marek324
/
backup-sm-classification

Modalities:
Audio
Text
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Languages:
English
Size:
10K - 100K
Tags:
audio
parquet
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{ "label": [ "inactive", "music" ], "start": [ 0, 20 ], "end": [ 20, 30002 ] }
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16,000
music
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music
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91
{ "label": [ "inactive", "music" ], "start": [ 0, 20 ], "end": [ 20, 29976 ] }
16,000
music
music_instrumental
fma_instrumental
92
{ "label": [ "inactive", "music", "inactive", "music", "inactive", "music", "inactive", "music", "inactive", "music", "inactive", "music" ], "start": [ 0, 20, 15600, 16300, 16580, 16600, 16620, 16640, 16720, 17160, 17180, 17220 ], "end": [ 20, 15600, 16300, 16580, 16600, 16620, 16640, 16720, 17160, 17180, 17220, 29976 ] }
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{ "label": [ "music" ], "start": [ 0 ], "end": [ 30002 ] }
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94
{ "label": [ "music" ], "start": [ 0 ], "end": [ 30002 ] }
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music
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fma_instrumental
95
{ "label": [ "inactive", "music" ], "start": [ 0, 20 ], "end": [ 20, 29976 ] }
16,000
music
music_instrumental
fma_instrumental
96
{ "label": [ "music", "inactive", "music", "inactive", "music", "inactive", "music" ], "start": [ 0, 6180, 6200, 6620, 6640, 6880, 6900 ], "end": [ 6180, 6200, 6620, 6640, 6880, 6900, 29989 ] }
16,000
music
music_instrumental
fma_instrumental
97
{ "label": [ "inactive", "music" ], "start": [ 0, 20 ], "end": [ 20, 30002 ] }
16,000
music
music_instrumental
fma_instrumental
98
{ "label": [ "music" ], "start": [ 0 ], "end": [ 29976 ] }
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music
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fma_instrumental
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{ "label": [ "music" ], "start": [ 0 ], "end": [ 29976 ] }
End of preview. Expand in Data Studio

Structure

After uv run python build.py {mini|mid|full} for each tier (same --out-dir staging parent):

<staging>/
  full/   # or mid/, mini/
    train/
      speech/       part_*.parquet
      music/
      inactive/
    validation/
      speech/
      ...
    test/
      ...

Parquet columns: audio (HF Audio struct), sampling_rate, class, subclass, source, row_idx, labels (list of {label, start, end} in ms).

Upload

From the staging parent (folder that contains mini/, mid/, full/):

hf upload-large-folder --repo-type dataset YOUR_ORG/YOUR_REPO .

Load 

from datasets import load_dataset

ds = load_dataset("YOUR_ORG/YOUR_REPO", "full", split="train")
# Rows include columns from parquet; decode WAV from bytes if needed.

Adjust YOUR_ORG/YOUR_REPO and verify YAML against current Hub dataset data files if load_dataset errors.
Downloads last month
212
Size of downloaded dataset files:
13.7 GB
Size of the auto-converted Parquet files:
13.7 GB
Number of rows:
28,339