Datasets:

ltuncay
/

chime-musicnet

Error code:   DatasetGenerationError
Exception:    TypeError
Message:      int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1539, in _prepare_split_single
                  for key, record in generator:
                                     ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 621, in wrapped
                  for item in generator(*args, **kwargs):
                              ~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 131, in _generate_examples
                  for example_idx, example in enumerate(self._get_pipeline_from_tar(tar_path, tar_iterator)):
                                              ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 32, in _get_pipeline_from_tar
                  for filename, f in tar_iterator:
                                     ^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/track.py", line 49, in __iter__
                  for x in self.generator(*self.args):
                           ~~~~~~~~~~~~~~^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 1419, in _iter_from_urlpath
                  with xopen(urlpath, "rb", download_config=download_config, block_size=0) as f:
                       ~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 976, in xopen
                  file_obj = fs.open(paths[0], mode)
                File "<string>", line 3, in open
                File "/usr/local/lib/python3.14/unittest/mock.py", line 1176, in __call__
                  return self._mock_call(*args, **kwargs)
                         ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/unittest/mock.py", line 1180, in _mock_call
                  return self._execute_mock_call(*args, **kwargs)
                         ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/unittest/mock.py", line 1247, in _execute_mock_call
                  result = effect(*args, **kwargs)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 794, in wrapped
                  tracker.files[urlpath] = {"read": 0, "size": int(f.size)}
                                                               ~~~^^^^^^^^
              TypeError: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1379, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 956, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1401, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1579, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

End of preview.

CHIME · MusicNet

This is a source-preserving prepared candidate, not a scientifically admitted CHIME benchmark release. It repackages the selected upstream release into split-specific WebDataset TAR shards with native audio and per-example JSON. A Parquet index permits metadata filtering without downloading audio shards.

Source and selected scope

Upstream: MusicNet.
Pinned source release: 1.0 Zenodo5120004.
Selection: All330 native recordings, note CSVs, metadata and reference MIDIs.
Original license/access conditions: CC-BY-4.0 dataset; source recordings Creative Commons/Public Domain, preserve per-record provenance Public anonymous download; no access request or click-through agreement. Retain original per-recording terms and attribution.
Source notes: Alignment is score-DTW derived and musician reviewed; upstream estimates4% label error. Acquisition does not admit labels as error-free. Preparation2026-10-29: all330WAVs are nativeFLOAT32,21,674,083,896stored bytes.22GB stored cap; original PCM retained.

Original authors, licensors and recording contributors retain their rights. This preparation was assembled for public noncommercial research access; this repository does not grant broader rights than the original sources. Preserve per-recording attribution and notices. provenance/ contains original annotations/docs/licenses, source provenance and the redistribution audit. FSD50K/Clotho audio has per-recording terms; Clotho captions retain the complete custom Tampere experimental/noncommercial license. The CHIME code license does not apply to these data.

Representation and preservation

There are 330 audio assets, 21,674,083,896 stored-audio bytes and 21,674,064,756 decoded-PCM-equivalent bytes. Native sample rate, duration and channel count are retained. No loudness normalization, silence trimming, resampling or downmixing is applied.

Each sample retains its native audio codec (WAV/FLAC/MP3/OGG or another supported native container). Each payload is accompanied by <key>.json in an ordinary TAR. The JSON contains split, stored audio metadata, provenance, source groups and source targets. manifest.jsonl also records shard/member offsets and checksums. metadata.parquet provides audio and shard columns, common source/group/license columns, and exact arbitrary annotations in metadata_json (decode with json.loads). It does not duplicate audio payloads. Keeping heterogeneous annotations as JSON preserves empty objects and differing target schemas without Arrow type coercion. release.json hashes the audio shards and record manifest, and publication.json inventories all published files including attribution assets.

CHiME-3 background recordings interleave six synchronized native mono PCM16 channels into one six-channel PCM16 WAV per session, with exact decoded-sample checks and an explicit channel map. The excluded CHiME speech corpus is not included. Other audio payloads are copied byte for byte.

Source splits

test: 10 original audio assets.
train: 320 original audio assets.

These are original source partitions or explicitly unspecified/background partitions. ESC-50 retains five official folds; no fixed benchmark train/test assignment is invented. VocalSet's split is the supplied technique-classification singer protocol, not a universal task protocol. Background noise is not converted into artificial word or silence examples. Linked views/channels share provenance groups.

Scientific limitations

Scientific admission remains pending. Native file integrity and packaging checks do not establish label correctness, perceptual deduplication, contamination freedom or benchmark validity. Existing upstream annotation errata and ambiguity are retained/documented. The source audit found declared Freesound ID overlaps within some official folds/partitions and across ESC-50, FSD50K and Clotho; FSD50K train/validation also share uploaders. Use the supplied source IDs, group metadata and provenance/source-audit.json when defining an evaluation protocol. Do not claim these candidate splits are universally leakage-free. Scores from this repository alone are not official CHIME scores.

Loading

Pin an immutable Hub commit revision in experiments. A generic Hugging Face WebDataset loader can read the shard configurations:

from datasets import load_dataset
samples = load_dataset("ltuncay/chime-musicnet", revision="<commit-sha>", streaming=True)

For local source-native decoding and checksum verification, use CHIME's iter_release(path, split=..., verify_hashes=True). Its audio arrays have shape [frames, channels]; the evaluated model owns its preprocessing. Download only selected shards/index files when appropriate; benchmark execution must not silently fetch data.

Provenance and citation

Cite the upstream dataset and recording authors as specified in the original documentation under provenance/. This preparation does not claim authorship of the source recordings or annotations. Exact upstream objects, checksums, release selection, preparation metadata and source URLs are recorded in release.json. Source Zenodo metadata/citations are retained when available. See the CHIME project implementation brief and scientific paper for the evolving evaluation protocol.

CHIME v1 benchmark usage

Do not train on CHIME evaluation data: 10 records in the release split(s) test, listed one key per line in provenance/benchmark-v1/eval-keys.txt. Models submitted to CHIME must not see these recordings (or their source recordings) during pretraining or fine-tuning.

Task	Family	Metric	Folds	Train	Validation	Test (eval)
`musicnet-instruments`	multilabel	macro_ap	1	train	validation	test

Exact per-record partition assignments (including records excluded from training because they share a source with evaluation data, and digitally silent assets) are in provenance/benchmark-v1/<task>.jsonl; the frozen task definitions are in provenance/benchmark-v1/usage.json. Splits never depend on the evaluation seed.

Downloads last month: -

Total file size:

21.7 GB

json dict	__key__ string	__url__ string
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 9740160, "member": "musicnet-005000c0b03da97bb259515d9c8b40fd.wav", "pcm_bytes": 38960640, "sample_rate": 44100, "sample_width": 4, "sha256": "adf4de31ab78727c9784d7860bd707ff42cc7773cee5ac9852...	musicnet-005000c0b03da97bb259515d9c8b40fd	hf://datasets/ltuncay/chime-musicnet@cf8f71d1cb53a14f7fb11756653f71231faed8cf/data/train/shard-000001.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 23058432, "member": "musicnet-00b2f74b200cdc199f56008c62a48e97.wav", "pcm_bytes": 92233728, "sample_rate": 44100, "sample_width": 4, "sha256": "775ece47790e6ad67e7d37623ccf0db6fb3323e36e4e9e48b...	musicnet-00b2f74b200cdc199f56008c62a48e97	hf://datasets/ltuncay/chime-musicnet@cf8f71d1cb53a14f7fb11756653f71231faed8cf/data/train/shard-000001.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 27760896, "member": "musicnet-00ce3194e6ad39b275a52422bd585203.wav", "pcm_bytes": 111043584, "sample_rate": 44100, "sample_width": 4, "sha256": "63866bec3613c56b2b5f1f9b8fe6dc434485d4c0c6483cb1...	musicnet-00ce3194e6ad39b275a52422bd585203	hf://datasets/ltuncay/chime-musicnet@cf8f71d1cb53a14f7fb11756653f71231faed8cf/data/train/shard-000001.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 16897536, "member": "musicnet-00f19ae0d5c1ba9311b5b2491cfd5e77.wav", "pcm_bytes": 67590144, "sample_rate": 44100, "sample_width": 4, "sha256": "12d90b62dab437132d2f68182b750c405467528a25c78d194...	musicnet-00f19ae0d5c1ba9311b5b2491cfd5e77	hf://datasets/ltuncay/chime-musicnet@cf8f71d1cb53a14f7fb11756653f71231faed8cf/data/train/shard-000001.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 14813568, "member": "musicnet-0101790237f4842c4f54286e3fbd33d5.wav", "pcm_bytes": 59254272, "sample_rate": 44100, "sample_width": 4, "sha256": "4d094db004962afd8bd0b287ca5d59ebb5cab967b4ea861fb...	musicnet-0101790237f4842c4f54286e3fbd33d5	hf://datasets/ltuncay/chime-musicnet@cf8f71d1cb53a14f7fb11756653f71231faed8cf/data/train/shard-000001.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 20573568, "member": "musicnet-022dc9b823580cfb4881e904cd3e2dd1.wav", "pcm_bytes": 82294272, "sample_rate": 44100, "sample_width": 4, "sha256": "d0f5860200171c5e98e0ff41527a7a2559a8b32a53f16d13b...	musicnet-022dc9b823580cfb4881e904cd3e2dd1	hf://datasets/ltuncay/chime-musicnet@cf8f71d1cb53a14f7fb11756653f71231faed8cf/data/train/shard-000001.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 19937664, "member": "musicnet-02af936dde62677d8d54493274f84faa.wav", "pcm_bytes": 79750656, "sample_rate": 44100, "sample_width": 4, "sha256": "db538af8e02c3d0919d79a8cdd1dac49ed40523066c8afd7a...	musicnet-02af936dde62677d8d54493274f84faa	hf://datasets/ltuncay/chime-musicnet@cf8f71d1cb53a14f7fb11756653f71231faed8cf/data/train/shard-000001.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 11075328, "member": "musicnet-0328a85c8fd2c06002bafd39d0097459.wav", "pcm_bytes": 44301312, "sample_rate": 44100, "sample_width": 4, "sha256": "373becca8cba9df8a62331bb143c99fd3e199b84f2e779ea3...	musicnet-0328a85c8fd2c06002bafd39d0097459	hf://datasets/ltuncay/chime-musicnet@cf8f71d1cb53a14f7fb11756653f71231faed8cf/data/train/shard-000001.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 16168320, "member": "musicnet-03aacb2edf261dd9a532b167772c1fdf.wav", "pcm_bytes": 64673280, "sample_rate": 44100, "sample_width": 4, "sha256": "ea5e75a4420bcadf7273fe5c7afcbb3e81257c48ce265441f...	musicnet-03aacb2edf261dd9a532b167772c1fdf	hf://datasets/ltuncay/chime-musicnet@cf8f71d1cb53a14f7fb11756653f71231faed8cf/data/train/shard-000001.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 17968896, "member": "musicnet-03dfaac3eaef394cd0de9b9ed404c2e1.wav", "pcm_bytes": 71875584, "sample_rate": 44100, "sample_width": 4, "sha256": "5cd428f6b1023ad1725f34e134e0460fff2359377bd44595c...	musicnet-03dfaac3eaef394cd0de9b9ed404c2e1	hf://datasets/ltuncay/chime-musicnet@cf8f71d1cb53a14f7fb11756653f71231faed8cf/data/train/shard-000001.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 15561216, "member": "musicnet-0439f5b8b4d5737ffeb775482b0f8f06.wav", "pcm_bytes": 62244864, "sample_rate": 44100, "sample_width": 4, "sha256": "bd9c7067ab3727bae030a1077a8113e52018b6bd1aa11ea95...	musicnet-0439f5b8b4d5737ffeb775482b0f8f06	hf://datasets/ltuncay/chime-musicnet@cf8f71d1cb53a14f7fb11756653f71231faed8cf/data/train/shard-000001.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 12827520, "member": "musicnet-04b26ab1bbf3dcabe8ddca84ce312699.wav", "pcm_bytes": 51310080, "sample_rate": 44100, "sample_width": 4, "sha256": "18e361c016d4cf54f4278a139efe7e04cb06c1a9b18d17acc...	musicnet-04b26ab1bbf3dcabe8ddca84ce312699	hf://datasets/ltuncay/chime-musicnet@cf8f71d1cb53a14f7fb11756653f71231faed8cf/data/train/shard-000001.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 26729856, "member": "musicnet-06660ce25c47028a96ac61664a7781b1.wav", "pcm_bytes": 106919424, "sample_rate": 44100, "sample_width": 4, "sha256": "246fd774f4137b296a96e46be7a6eedb75aef26f07c02666...	musicnet-06660ce25c47028a96ac61664a7781b1	hf://datasets/ltuncay/chime-musicnet@cf8f71d1cb53a14f7fb11756653f71231faed8cf/data/train/shard-000001.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 9052416, "member": "musicnet-069a80710c40c36a79cf489e2c95167b.wav", "pcm_bytes": 36209664, "sample_rate": 44100, "sample_width": 4, "sha256": "eb8276d5aabeb78b5dea0c46fcbc8b51e174f646af8ac74b5b...	musicnet-069a80710c40c36a79cf489e2c95167b	hf://datasets/ltuncay/chime-musicnet@cf8f71d1cb53a14f7fb11756653f71231faed8cf/data/train/shard-000001.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 17516160, "member": "musicnet-06bdb8840769f7881b051e564b042d85.wav", "pcm_bytes": 70064640, "sample_rate": 44100, "sample_width": 4, "sha256": "7754f74b1ba9018d73cc3730021f4dbdbc4732f02d48149aa...	musicnet-06bdb8840769f7881b051e564b042d85	hf://datasets/ltuncay/chime-musicnet@cf8f71d1cb53a14f7fb11756653f71231faed8cf/data/train/shard-000002.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 22631758, "member": "musicnet-07d32c1ca5fd6478ac6a4b7020a1492c.wav", "pcm_bytes": 90527032, "sample_rate": 44100, "sample_width": 4, "sha256": "007605200585574fca5278235762fb43cf5df6d834b884733...	musicnet-07d32c1ca5fd6478ac6a4b7020a1492c	hf://datasets/ltuncay/chime-musicnet@cf8f71d1cb53a14f7fb11756653f71231faed8cf/data/train/shard-000002.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 33615360, "member": "musicnet-087e57efa31943f6b3ade52fb7397ad9.wav", "pcm_bytes": 134461440, "sample_rate": 44100, "sample_width": 4, "sha256": "34fda2bab30d6eaeed595b654e12f946c42f7a1affe29147...	musicnet-087e57efa31943f6b3ade52fb7397ad9	hf://datasets/ltuncay/chime-musicnet@cf8f71d1cb53a14f7fb11756653f71231faed8cf/data/train/shard-000002.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 16252416, "member": "musicnet-089b01d63cd61d33b0aa348414766c5d.wav", "pcm_bytes": 65009664, "sample_rate": 44100, "sample_width": 4, "sha256": "15d8a9b95c9eb299d49ab9b3f31661f44ad0893d4e55df778...	musicnet-089b01d63cd61d33b0aa348414766c5d	hf://datasets/ltuncay/chime-musicnet@cf8f71d1cb53a14f7fb11756653f71231faed8cf/data/train/shard-000002.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 14740992, "member": "musicnet-09dd59a4ff06cab3e86fa81a21f56998.wav", "pcm_bytes": 58963968, "sample_rate": 44100, "sample_width": 4, "sha256": "94533d95f8999b79225c8edb6ee5398fbf7e0117e08f386f6...	musicnet-09dd59a4ff06cab3e86fa81a21f56998	hf://datasets/ltuncay/chime-musicnet@cf8f71d1cb53a14f7fb11756653f71231faed8cf/data/train/shard-000002.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 7050240, "member": "musicnet-0a527419b48e9fe90c8944bb9a917006.wav", "pcm_bytes": 28200960, "sample_rate": 44100, "sample_width": 4, "sha256": "3438f9a5d6986a667e7311af68fde1137aa33d4b6b1e949edf...	musicnet-0a527419b48e9fe90c8944bb9a917006	hf://datasets/ltuncay/chime-musicnet@cf8f71d1cb53a14f7fb11756653f71231faed8cf/data/train/shard-000002.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 22899456, "member": "musicnet-0aa9b2f9dd8cad8a6754bdf38e8bcb0f.wav", "pcm_bytes": 91597824, "sample_rate": 44100, "sample_width": 4, "sha256": "93415a2c5209abefd69b9e4750c275c2947e12f02d284fa55...	musicnet-0aa9b2f9dd8cad8a6754bdf38e8bcb0f	hf://datasets/ltuncay/chime-musicnet@cf8f71d1cb53a14f7fb11756653f71231faed8cf/data/train/shard-000002.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 15502375, "member": "musicnet-0b81e404f9b94969e06b641ee7c5186c.wav", "pcm_bytes": 62009500, "sample_rate": 44100, "sample_width": 4, "sha256": "32480918a7148aa4b484db8557d2f4bbe03043fc4ba3622b8...	musicnet-0b81e404f9b94969e06b641ee7c5186c	hf://datasets/ltuncay/chime-musicnet@cf8f71d1cb53a14f7fb11756653f71231faed8cf/data/train/shard-000002.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 21580416, "member": "musicnet-0ba54c897ca4f6e238e0f94eb1e09dce.wav", "pcm_bytes": 86321664, "sample_rate": 44100, "sample_width": 4, "sha256": "742a4ce1733dd7ea44ec235df26a73fb3574497a9a9a2e24b...	musicnet-0ba54c897ca4f6e238e0f94eb1e09dce	hf://datasets/ltuncay/chime-musicnet@cf8f71d1cb53a14f7fb11756653f71231faed8cf/data/train/shard-000002.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 10038528, "member": "musicnet-0c7fe6e57bf972439afb5ab6301ab2d1.wav", "pcm_bytes": 40154112, "sample_rate": 44100, "sample_width": 4, "sha256": "034e44521892b30da6ce82aed8b3b1f5c9a188215c166880f...	musicnet-0c7fe6e57bf972439afb5ab6301ab2d1	hf://datasets/ltuncay/chime-musicnet@cf8f71d1cb53a14f7fb11756653f71231faed8cf/data/train/shard-000002.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 13814784, "member": "musicnet-0ce2f9672c155fe08a1273fff58a199f.wav", "pcm_bytes": 55259136, "sample_rate": 44100, "sample_width": 4, "sha256": "b5c8d08be2d918ea8c938fd9f473780bdbd9bdfa1a7dcc949...	musicnet-0ce2f9672c155fe08a1273fff58a199f	hf://datasets/ltuncay/chime-musicnet@cf8f71d1cb53a14f7fb11756653f71231faed8cf/data/train/shard-000002.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 11621376, "member": "musicnet-0d9fdbca59d96a34b849a68c7c576d6d.wav", "pcm_bytes": 46485504, "sample_rate": 44100, "sample_width": 4, "sha256": "ba4bddc63d13b2db0ed3ce1434d74027d15e60cef36670778...	musicnet-0d9fdbca59d96a34b849a68c7c576d6d	hf://datasets/ltuncay/chime-musicnet@cf8f71d1cb53a14f7fb11756653f71231faed8cf/data/train/shard-000002.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 40169088, "member": "musicnet-0e762809fd7386f55c905267291130e8.wav", "pcm_bytes": 160676352, "sample_rate": 44100, "sample_width": 4, "sha256": "3f9df5bb96a9ff7c0b4c4673811c7a3a865aa6b20dc7603e...	musicnet-0e762809fd7386f55c905267291130e8	hf://datasets/ltuncay/chime-musicnet@cf8f71d1cb53a14f7fb11756653f71231faed8cf/data/train/shard-000002.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 21646080, "member": "musicnet-0e7ec9f28a10255a41552ff0619a832c.wav", "pcm_bytes": 86584320, "sample_rate": 44100, "sample_width": 4, "sha256": "3179e83e7bd4be56479d70637aa8932db60708fbb87dfd511...	musicnet-0e7ec9f28a10255a41552ff0619a832c	hf://datasets/ltuncay/chime-musicnet@cf8f71d1cb53a14f7fb11756653f71231faed8cf/data/train/shard-000003.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 25050240, "member": "musicnet-11a9e1d62a319079f61f367ca655a6b3.wav", "pcm_bytes": 100200960, "sample_rate": 44100, "sample_width": 4, "sha256": "05d39e68f997094df1e608c8a209a92da99738ccd74cd2c0...	musicnet-11a9e1d62a319079f61f367ca655a6b3	hf://datasets/ltuncay/chime-musicnet@cf8f71d1cb53a14f7fb11756653f71231faed8cf/data/train/shard-000003.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 20850048, "member": "musicnet-120ac0a3727caacb543bafcf6885d1c2.wav", "pcm_bytes": 83400192, "sample_rate": 44100, "sample_width": 4, "sha256": "01dee028c82840f59f3d97ace0b7dcfd339b7bae29dce4d7b...	musicnet-120ac0a3727caacb543bafcf6885d1c2	hf://datasets/ltuncay/chime-musicnet@cf8f71d1cb53a14f7fb11756653f71231faed8cf/data/train/shard-000003.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 13129344, "member": "musicnet-13b5f034edff8f602f2d2b6732bd0ddf.wav", "pcm_bytes": 52517376, "sample_rate": 44100, "sample_width": 4, "sha256": "7e71beba1fea7820e3f0a178ed5ae9b8131cab319a7f6912b...	musicnet-13b5f034edff8f602f2d2b6732bd0ddf	hf://datasets/ltuncay/chime-musicnet@cf8f71d1cb53a14f7fb11756653f71231faed8cf/data/train/shard-000003.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 5921280, "member": "musicnet-13b6ecdd55b7eed5089ed2a82bb1d26a.wav", "pcm_bytes": 23685120, "sample_rate": 44100, "sample_width": 4, "sha256": "a7319dd95dd61962c909998eae220da417c171c5d8846fb73d...	musicnet-13b6ecdd55b7eed5089ed2a82bb1d26a	hf://datasets/ltuncay/chime-musicnet@cf8f71d1cb53a14f7fb11756653f71231faed8cf/data/train/shard-000003.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 31337856, "member": "musicnet-1484c462a1546d28223133e946ed9c1a.wav", "pcm_bytes": 125351424, "sample_rate": 44100, "sample_width": 4, "sha256": "93dceed8bf59bf6412759656e5695d9adfd38087c44c71a0...	musicnet-1484c462a1546d28223133e946ed9c1a	hf://datasets/ltuncay/chime-musicnet@cf8f71d1cb53a14f7fb11756653f71231faed8cf/data/train/shard-000003.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 23815296, "member": "musicnet-14a6955c038c7fffac5acd6d3658c159.wav", "pcm_bytes": 95261184, "sample_rate": 44100, "sample_width": 4, "sha256": "5be23cee0bf2340c35a9201c556bb8ed428e82cd249ab71a6...	musicnet-14a6955c038c7fffac5acd6d3658c159	hf://datasets/ltuncay/chime-musicnet@cf8f71d1cb53a14f7fb11756653f71231faed8cf/data/train/shard-000003.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 12973824, "member": "musicnet-14da19fdd9617cc6636c3caf57517bac.wav", "pcm_bytes": 51895296, "sample_rate": 44100, "sample_width": 4, "sha256": "58d70a60e755858c8e3c03482199c5bdd292a4aa6bd344f7b...	musicnet-14da19fdd9617cc6636c3caf57517bac	hf://datasets/ltuncay/chime-musicnet@cf8f71d1cb53a14f7fb11756653f71231faed8cf/data/train/shard-000003.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 8550144, "member": "musicnet-15664e274c537e1fad0f7988709623f3.wav", "pcm_bytes": 34200576, "sample_rate": 44100, "sample_width": 4, "sha256": "1cebbe91fc817999cd6f5b3b2e63ba247ba63b331ea747f918...	musicnet-15664e274c537e1fad0f7988709623f3	hf://datasets/ltuncay/chime-musicnet@cf8f71d1cb53a14f7fb11756653f71231faed8cf/data/train/shard-000003.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 21083904, "member": "musicnet-169f50496cde5e03a1679b51edf89002.wav", "pcm_bytes": 84335616, "sample_rate": 44100, "sample_width": 4, "sha256": "655501f787dae107d0dfd921a2b326700dc81b2e61dd3d440...	musicnet-169f50496cde5e03a1679b51edf89002	hf://datasets/ltuncay/chime-musicnet@cf8f71d1cb53a14f7fb11756653f71231faed8cf/data/train/shard-000003.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 14367744, "member": "musicnet-17b678953f68cd448320a93c878ce8ac.wav", "pcm_bytes": 57470976, "sample_rate": 44100, "sample_width": 4, "sha256": "2d74303ab4568455dc292853f72d60f271ebe3103c63c9a25...	musicnet-17b678953f68cd448320a93c878ce8ac	hf://datasets/ltuncay/chime-musicnet@cf8f71d1cb53a14f7fb11756653f71231faed8cf/data/train/shard-000003.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 22467456, "member": "musicnet-17d20a312e158605700ce5c05f07c960.wav", "pcm_bytes": 89869824, "sample_rate": 44100, "sample_width": 4, "sha256": "93a44dd5200707121c592a33d0565f25936e84765fd8312b1...	musicnet-17d20a312e158605700ce5c05f07c960	hf://datasets/ltuncay/chime-musicnet@cf8f71d1cb53a14f7fb11756653f71231faed8cf/data/train/shard-000003.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 29722752, "member": "musicnet-1829cbcb07868e621f859e2c2abbcb52.wav", "pcm_bytes": 118891008, "sample_rate": 44100, "sample_width": 4, "sha256": "119084abf737330935495ab6e05fdcc4f8867778b2de4e66...	musicnet-1829cbcb07868e621f859e2c2abbcb52	hf://datasets/ltuncay/chime-musicnet@cf8f71d1cb53a14f7fb11756653f71231faed8cf/data/train/shard-000004.tar