Datasets:

ltuncay
/

chime-desed

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 · DESED

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: DESED.
Pinned source release: 4560759.
Selection: Official DESED_public_eval archive contains publicly released evaluation audio; acquire this labeled real partition instead of unavailable YouTube training downloads.
Original license/access conditions: CC-BY-4.0 (Zenodo public evaluation release); retain underlying recording attribution and original notices. Public direct HTTPS; preserve all attribution and license notices. No access account or signed agreement.
Source notes: Acquire only pinned objects. Preserve native audio and raw source labels. Subset and quality rules are in the matching decision; scientific admission is pending.

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 13,191 audio assets, 23,214,789,212 stored-audio bytes and 23,214,208,808 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: 692 original audio assets.
train: 9,999 original audio assets.
validation: 2,500 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-desed", 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: 692 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)
`desed-sed`	frame_multilabel	segment_f1	1	train	validation	test
`desed-tagging`	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.

Archived original provenance

Large provenance directories are preserved byte for byte in provenance/archives/*.tar.gz. The index records original logical paths, archive members, sizes and SHA256s. Record references such as raw_annotation_ref retain their original names. Read them with from chime_bench.datasets.provenance import read_provenance, then read_provenance(release_root, reference). No audio, labels or sample keys change.

Downloads last month: 112

Total file size:

23.3 GB

json dict	__key__ string	__url__ string
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 441000, "member": "desed-0001f8681f1b90be33401b59ce9c053e.wav", "pcm_bytes": 1764000, "sample_rate": 44100, "sample_width": 4, "sha256": "ec2310b716daf6ef63c98f090143abe841c63e8dd5ffb91c8ca8c0d...	desed-0001f8681f1b90be33401b59ce9c053e	hf://datasets/ltuncay/chime-desed@966b9ed1ca02e512047f08b1355aeddb497b8e4b/data/train/shard-000002.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 441000, "member": "desed-00023e991480b4dec5aae35967dca138.wav", "pcm_bytes": 1764000, "sample_rate": 44100, "sample_width": 4, "sha256": "e13db7dbc39687d596461429c9c4d1e42985f1c9967a8f7ec1d5cfc...	desed-00023e991480b4dec5aae35967dca138	hf://datasets/ltuncay/chime-desed@966b9ed1ca02e512047f08b1355aeddb497b8e4b/data/train/shard-000002.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 441000, "member": "desed-000815fdc8e5080a3afb7896b71f6bc3.wav", "pcm_bytes": 1764000, "sample_rate": 44100, "sample_width": 4, "sha256": "0d37f51b31a2414932b267631963a7d1c0e6547904061ff1a337997...	desed-000815fdc8e5080a3afb7896b71f6bc3	hf://datasets/ltuncay/chime-desed@966b9ed1ca02e512047f08b1355aeddb497b8e4b/data/train/shard-000002.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 441000, "member": "desed-0010122f43f8c0a9d3f29e1b6db0b7e1.wav", "pcm_bytes": 1764000, "sample_rate": 44100, "sample_width": 4, "sha256": "3fce8d838a19b5ab06f5f004b2917dcd9b720a1017a5ef43864a66e...	desed-0010122f43f8c0a9d3f29e1b6db0b7e1	hf://datasets/ltuncay/chime-desed@966b9ed1ca02e512047f08b1355aeddb497b8e4b/data/train/shard-000002.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 441000, "member": "desed-0015c7aba50f3edd596bd140db0466a5.wav", "pcm_bytes": 1764000, "sample_rate": 44100, "sample_width": 4, "sha256": "0795e6a2ab9a12bced2c6824c7c3aef00469e709399bbe41bdd1e14...	desed-0015c7aba50f3edd596bd140db0466a5	hf://datasets/ltuncay/chime-desed@966b9ed1ca02e512047f08b1355aeddb497b8e4b/data/train/shard-000002.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 441000, "member": "desed-002cbe622afecc578881f54ab3b1f488.wav", "pcm_bytes": 1764000, "sample_rate": 44100, "sample_width": 4, "sha256": "5141648d28bbd5c32e562574fa470fbf98634d4c76eefa31a366064...	desed-002cbe622afecc578881f54ab3b1f488	hf://datasets/ltuncay/chime-desed@966b9ed1ca02e512047f08b1355aeddb497b8e4b/data/train/shard-000002.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 441000, "member": "desed-00303fcf486cbd0c028f1226fb2e3608.wav", "pcm_bytes": 1764000, "sample_rate": 44100, "sample_width": 4, "sha256": "7d4c4acfed9482eeae7379718da4b3b3c2ff84ebc9723a2433f46df...	desed-00303fcf486cbd0c028f1226fb2e3608	hf://datasets/ltuncay/chime-desed@966b9ed1ca02e512047f08b1355aeddb497b8e4b/data/train/shard-000002.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 441000, "member": "desed-003f307bc642b52ed4e7bf335c35245b.wav", "pcm_bytes": 1764000, "sample_rate": 44100, "sample_width": 4, "sha256": "f4533656671ebd875bd93a314815521c3999902dbab8102eec3eaf7...	desed-003f307bc642b52ed4e7bf335c35245b	hf://datasets/ltuncay/chime-desed@966b9ed1ca02e512047f08b1355aeddb497b8e4b/data/train/shard-000002.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 441000, "member": "desed-004897dca3d1664f3953a207e903dd3b.wav", "pcm_bytes": 1764000, "sample_rate": 44100, "sample_width": 4, "sha256": "b6d3eb0422dcf7b99306aa2bc0f51591add09f95aa6061fb0ede397...	desed-004897dca3d1664f3953a207e903dd3b	hf://datasets/ltuncay/chime-desed@966b9ed1ca02e512047f08b1355aeddb497b8e4b/data/train/shard-000002.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 441000, "member": "desed-004d602b711fcc127b89417d254ca1a1.wav", "pcm_bytes": 1764000, "sample_rate": 44100, "sample_width": 4, "sha256": "d84d0d51c866f203f938995ee34e540ec7a65bc6f82e2515a519e68...	desed-004d602b711fcc127b89417d254ca1a1	hf://datasets/ltuncay/chime-desed@966b9ed1ca02e512047f08b1355aeddb497b8e4b/data/train/shard-000002.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 441000, "member": "desed-0057bd6c1124adec16903508aa6a91e8.wav", "pcm_bytes": 1764000, "sample_rate": 44100, "sample_width": 4, "sha256": "f6ff3862947e811429ef65507e5c144812e41dc288cd9542d1ee928...	desed-0057bd6c1124adec16903508aa6a91e8	hf://datasets/ltuncay/chime-desed@966b9ed1ca02e512047f08b1355aeddb497b8e4b/data/train/shard-000002.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 441000, "member": "desed-00707a01ea79bd93c4ef5d7f212b147e.wav", "pcm_bytes": 1764000, "sample_rate": 44100, "sample_width": 4, "sha256": "6aaa1ccd8b966eefedf2ecbdb9ca18d91336d1edb97d1769a25212a...	desed-00707a01ea79bd93c4ef5d7f212b147e	hf://datasets/ltuncay/chime-desed@966b9ed1ca02e512047f08b1355aeddb497b8e4b/data/train/shard-000002.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 441000, "member": "desed-0072ca2120e58615f788fdf8dbe7d17e.wav", "pcm_bytes": 1764000, "sample_rate": 44100, "sample_width": 4, "sha256": "71226d028c6cda78e2652c6d86de5d8be00db5f4a78edc54587b667...	desed-0072ca2120e58615f788fdf8dbe7d17e	hf://datasets/ltuncay/chime-desed@966b9ed1ca02e512047f08b1355aeddb497b8e4b/data/train/shard-000002.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 441000, "member": "desed-0076410f854ba01634047f4aa63f3526.wav", "pcm_bytes": 1764000, "sample_rate": 44100, "sample_width": 4, "sha256": "6822455b5fe6797e1068965f5f82b55f0a29b9a6fb56abdf0b44db8...	desed-0076410f854ba01634047f4aa63f3526	hf://datasets/ltuncay/chime-desed@966b9ed1ca02e512047f08b1355aeddb497b8e4b/data/train/shard-000002.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 441000, "member": "desed-007c48f21ce5d17c5f56c8e97b57588f.wav", "pcm_bytes": 1764000, "sample_rate": 44100, "sample_width": 4, "sha256": "038542bfd40342410e21f5ac7ccb8f747761a57dab0f5603051eea3...	desed-007c48f21ce5d17c5f56c8e97b57588f	hf://datasets/ltuncay/chime-desed@966b9ed1ca02e512047f08b1355aeddb497b8e4b/data/train/shard-000002.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 441000, "member": "desed-008343d477aab75221eb98192789afd6.wav", "pcm_bytes": 1764000, "sample_rate": 44100, "sample_width": 4, "sha256": "6db811ddcbd36b0cfeccc2290423c0105ee54a2890650af24a2da58...	desed-008343d477aab75221eb98192789afd6	hf://datasets/ltuncay/chime-desed@966b9ed1ca02e512047f08b1355aeddb497b8e4b/data/train/shard-000002.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 441000, "member": "desed-00876d980869c959e937f9e994e60b3b.wav", "pcm_bytes": 1764000, "sample_rate": 44100, "sample_width": 4, "sha256": "e2f79e3a6fed0c5ea3cefd465d0aee0181aeaed90d45e362a253393...	desed-00876d980869c959e937f9e994e60b3b	hf://datasets/ltuncay/chime-desed@966b9ed1ca02e512047f08b1355aeddb497b8e4b/data/train/shard-000002.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 441000, "member": "desed-008abc5023c370e2cf1e4748d5ed9c91.wav", "pcm_bytes": 1764000, "sample_rate": 44100, "sample_width": 4, "sha256": "0b993c49a713b81fcccc37e220858d76d584d917c9b52fcc46b68bc...	desed-008abc5023c370e2cf1e4748d5ed9c91	hf://datasets/ltuncay/chime-desed@966b9ed1ca02e512047f08b1355aeddb497b8e4b/data/train/shard-000002.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 441000, "member": "desed-008cd27c63474e2bcddcd884ddd43f05.wav", "pcm_bytes": 1764000, "sample_rate": 44100, "sample_width": 4, "sha256": "1ed783762b90197460aadd9801194eba4e1288f4bf820e08a606243...	desed-008cd27c63474e2bcddcd884ddd43f05	hf://datasets/ltuncay/chime-desed@966b9ed1ca02e512047f08b1355aeddb497b8e4b/data/train/shard-000002.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 441000, "member": "desed-009056289564001146871b5219bc609d.wav", "pcm_bytes": 1764000, "sample_rate": 44100, "sample_width": 4, "sha256": "39eedc23d424dbe779963a80288015d067ef262f130d224fcc35b2e...	desed-009056289564001146871b5219bc609d	hf://datasets/ltuncay/chime-desed@966b9ed1ca02e512047f08b1355aeddb497b8e4b/data/train/shard-000002.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 441000, "member": "desed-00971a5e5514f4ca3b7435860abe4cfd.wav", "pcm_bytes": 1764000, "sample_rate": 44100, "sample_width": 4, "sha256": "b02567b59f1f5c9803daa7526983f4add830d1450b6f366fee4ec5c...	desed-00971a5e5514f4ca3b7435860abe4cfd	hf://datasets/ltuncay/chime-desed@966b9ed1ca02e512047f08b1355aeddb497b8e4b/data/train/shard-000002.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 441000, "member": "desed-009fb0caff68a3785a4c5fa7ed11121c.wav", "pcm_bytes": 1764000, "sample_rate": 44100, "sample_width": 4, "sha256": "ec6e7eab2c8745a71344643b1f1c3ea7e97c181fcf2a7480a23e56c...	desed-009fb0caff68a3785a4c5fa7ed11121c	hf://datasets/ltuncay/chime-desed@966b9ed1ca02e512047f08b1355aeddb497b8e4b/data/train/shard-000002.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 441000, "member": "desed-00b306354367888fb564b0c01c4d00b9.wav", "pcm_bytes": 1764000, "sample_rate": 44100, "sample_width": 4, "sha256": "17140ed6494403e2d0ddcf5b5d20f8e20a95b100318fe9c0f9ee6e9...	desed-00b306354367888fb564b0c01c4d00b9	hf://datasets/ltuncay/chime-desed@966b9ed1ca02e512047f08b1355aeddb497b8e4b/data/train/shard-000002.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 441000, "member": "desed-00b4336b677067eb9f6df9d38ac27de2.wav", "pcm_bytes": 1764000, "sample_rate": 44100, "sample_width": 4, "sha256": "7b863f45536d848797941f015511697a9f7d95bc57d4b36c271ea7a...	desed-00b4336b677067eb9f6df9d38ac27de2	hf://datasets/ltuncay/chime-desed@966b9ed1ca02e512047f08b1355aeddb497b8e4b/data/train/shard-000002.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 441000, "member": "desed-00bba62240ac13ccdfd9a903907d5fcc.wav", "pcm_bytes": 1764000, "sample_rate": 44100, "sample_width": 4, "sha256": "97f9859fbb5b12d6ecdd3a2ae9392cd4934d30d45cfd20aad88e5cd...	desed-00bba62240ac13ccdfd9a903907d5fcc	hf://datasets/ltuncay/chime-desed@966b9ed1ca02e512047f08b1355aeddb497b8e4b/data/train/shard-000002.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 441000, "member": "desed-00bee727a975442b9cd8f58d9d84bbf6.wav", "pcm_bytes": 1764000, "sample_rate": 44100, "sample_width": 4, "sha256": "61e52b54294e86907fa62126ecd409b40d3f0cd44f773279436cf60...	desed-00bee727a975442b9cd8f58d9d84bbf6	hf://datasets/ltuncay/chime-desed@966b9ed1ca02e512047f08b1355aeddb497b8e4b/data/train/shard-000002.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 441000, "member": "desed-00c158335eee3551af8c4113753c06c0.wav", "pcm_bytes": 1764000, "sample_rate": 44100, "sample_width": 4, "sha256": "c64231f5c902eb74c4522ae2b90eafc9d1fa7df601d89facc5f53c4...	desed-00c158335eee3551af8c4113753c06c0	hf://datasets/ltuncay/chime-desed@966b9ed1ca02e512047f08b1355aeddb497b8e4b/data/train/shard-000002.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 441000, "member": "desed-00c51a02001facb1a558b7789fb73e5c.wav", "pcm_bytes": 1764000, "sample_rate": 44100, "sample_width": 4, "sha256": "e1693d98017688c4d2d1449b2513713c8f7e8a0a3c0d5a01f221f13...	desed-00c51a02001facb1a558b7789fb73e5c	hf://datasets/ltuncay/chime-desed@966b9ed1ca02e512047f08b1355aeddb497b8e4b/data/train/shard-000002.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 441000, "member": "desed-00d363aa2b594279e2e7e90c8f9e0abf.wav", "pcm_bytes": 1764000, "sample_rate": 44100, "sample_width": 4, "sha256": "ce57af15be1284db27a4272704a936e8697bb983fc97963da37cf13...	desed-00d363aa2b594279e2e7e90c8f9e0abf	hf://datasets/ltuncay/chime-desed@966b9ed1ca02e512047f08b1355aeddb497b8e4b/data/train/shard-000002.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 441000, "member": "desed-00d4b1cd0be771b466e9a197f372eae0.wav", "pcm_bytes": 1764000, "sample_rate": 44100, "sample_width": 4, "sha256": "b1d76a037d4fa15dbf446dfbd0464f5b8b934e18a92e729cea23adf...	desed-00d4b1cd0be771b466e9a197f372eae0	hf://datasets/ltuncay/chime-desed@966b9ed1ca02e512047f08b1355aeddb497b8e4b/data/train/shard-000002.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 441000, "member": "desed-00e289499e1072b09db3f377d95ae649.wav", "pcm_bytes": 1764000, "sample_rate": 44100, "sample_width": 4, "sha256": "afe7644ac44132a5eec57652dc75de7c6880a661e57687ee22b6277...	desed-00e289499e1072b09db3f377d95ae649	hf://datasets/ltuncay/chime-desed@966b9ed1ca02e512047f08b1355aeddb497b8e4b/data/train/shard-000002.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 441000, "member": "desed-00e6ee7bc14dd228b6e2e0659b472603.wav", "pcm_bytes": 1764000, "sample_rate": 44100, "sample_width": 4, "sha256": "def22c5040b678261a9db92ca9d329bc363e1b6b3aea0e7721a0c5e...	desed-00e6ee7bc14dd228b6e2e0659b472603	hf://datasets/ltuncay/chime-desed@966b9ed1ca02e512047f08b1355aeddb497b8e4b/data/train/shard-000002.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 441000, "member": "desed-00edbdb102740bb060bddbccb1dbd6c4.wav", "pcm_bytes": 1764000, "sample_rate": 44100, "sample_width": 4, "sha256": "9de1352d567b00dea0ebe320edf9b0bf8144160552d11b9e4e86d6c...	desed-00edbdb102740bb060bddbccb1dbd6c4	hf://datasets/ltuncay/chime-desed@966b9ed1ca02e512047f08b1355aeddb497b8e4b/data/train/shard-000002.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 441000, "member": "desed-00f5c0671335a01ac4c196ed50d34322.wav", "pcm_bytes": 1764000, "sample_rate": 44100, "sample_width": 4, "sha256": "720defcb0abeaeb5a5ad3d9257efaa3a7c219e7f4988dbb7c997d48...	desed-00f5c0671335a01ac4c196ed50d34322	hf://datasets/ltuncay/chime-desed@966b9ed1ca02e512047f08b1355aeddb497b8e4b/data/train/shard-000002.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 441000, "member": "desed-00fd2dce4f4712141d55b7b9fc57c053.wav", "pcm_bytes": 1764000, "sample_rate": 44100, "sample_width": 4, "sha256": "91f92947f2ae0be2cd8d9fd9df58ea6e3a4845ff17c50e36dc79eae...	desed-00fd2dce4f4712141d55b7b9fc57c053	hf://datasets/ltuncay/chime-desed@966b9ed1ca02e512047f08b1355aeddb497b8e4b/data/train/shard-000002.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 441000, "member": "desed-010951f41ab66a8440291026fa520ec3.wav", "pcm_bytes": 1764000, "sample_rate": 44100, "sample_width": 4, "sha256": "9406237e2b9a64dfe61d7758276cff265c023a850ced3e1477704d1...	desed-010951f41ab66a8440291026fa520ec3	hf://datasets/ltuncay/chime-desed@966b9ed1ca02e512047f08b1355aeddb497b8e4b/data/train/shard-000002.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 441000, "member": "desed-010d5e6942439daa802165c805dd5230.wav", "pcm_bytes": 1764000, "sample_rate": 44100, "sample_width": 4, "sha256": "5bc3bd511c5d39636a7a0f943c7a9435158ac71e871aaf706fe5e39...	desed-010d5e6942439daa802165c805dd5230	hf://datasets/ltuncay/chime-desed@966b9ed1ca02e512047f08b1355aeddb497b8e4b/data/train/shard-000002.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 441000, "member": "desed-010fc67ae5c7d4f7fc07b55227695d52.wav", "pcm_bytes": 1764000, "sample_rate": 44100, "sample_width": 4, "sha256": "9f9ec87b880786627c541f6d3695c3b1c99907f2512e1fe12468b2c...	desed-010fc67ae5c7d4f7fc07b55227695d52	hf://datasets/ltuncay/chime-desed@966b9ed1ca02e512047f08b1355aeddb497b8e4b/data/train/shard-000002.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 441000, "member": "desed-0114217934524d09ded0a4472dcc006f.wav", "pcm_bytes": 1764000, "sample_rate": 44100, "sample_width": 4, "sha256": "b0ec2c9820c9115022d72263fc3b24877f47f0b85e1800b72f2e810...	desed-0114217934524d09ded0a4472dcc006f	hf://datasets/ltuncay/chime-desed@966b9ed1ca02e512047f08b1355aeddb497b8e4b/data/train/shard-000002.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 441000, "member": "desed-011c07d31d496762aedf5286d57d9259.wav", "pcm_bytes": 1764000, "sample_rate": 44100, "sample_width": 4, "sha256": "2ec6729bb885bea295307485336110a02b6f40ba4a7a58402f3cba6...	desed-011c07d31d496762aedf5286d57d9259	hf://datasets/ltuncay/chime-desed@966b9ed1ca02e512047f08b1355aeddb497b8e4b/data/train/shard-000002.tar