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Datasets:
schismaudio
/
waivops-wrld-smb

Tasks:
Audio Classification
Size:
1K<n<10K
Tags:
drum-loops
drum-transcription
patchbanks
waivops
world-samba
License:
Dataset card Files
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The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
100bpm_world_smb_drm_8br_id_001_0086: struct<pitch: list<item: int64>, tempo: int64>
vs
100bpm_world_smb_drm_8br_id_001_0087: struct<pitch: list<item: int64>, tempo: int64>
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 243, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 3608, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2368, in _head
                  return next(iter(self.iter(batch_size=n)))
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2573, in iter
                  for key, example in iterator:
                                      ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2060, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2082, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 572, in _iter_arrow
                  yield new_key, pa.Table.from_batches(chunks_buffer)
                                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/table.pxi", line 5039, in pyarrow.lib.Table.from_batches
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              100bpm_world_smb_drm_8br_id_001_0086: struct<pitch: list<item: int64>, tempo: int64>
              vs
              100bpm_world_smb_drm_8br_id_001_0087: struct<pitch: list<item: int64>, tempo: int64>

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WaivOps_WRLD-SMB_Samba

Quick Start 

from datasets import load_dataset

ds = load_dataset("schismaudio/waivops-wrld-smb", streaming=True)

Dataset Description

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

  • Genre: World / Samba
  • Loops: 1,100
  • Duration: ~5.5 hours
  • Format: 16-bit stereo WAV @ 44.1kHz + JSON metadata
  • BPM Range: 90-120
  • License: CC-BY-4.0

Each WAV file is paired with a JSON metadata file containing MIDI pitch data, tempo, and time signature labels.

Source

Citation 

@dataset{WaivOps WRLD-SMB: Open Audio Resources for Machine Learning in Music,
  author = {WaivOps},
  title  = {WaivOps WRLD-SMB: Open Audio Resources for Machine Learning in Music},
  year   = {2024},
  doi    = {10.5281/zenodo.13921290},
  url    = {https://doi.org/10.5281/zenodo.13921290},
}

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