Datasets:

ltuncay
/

chime-ptdb-tug

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

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End of preview.

CHIME · PTDB-TUG

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: PTDB-TUG.
Pinned source release: 2011-09-09.
Selection: All 20 speakers F01–F10 and M01–M10; preserve native 48 kHz 16-bit microphone and laryngograph WAV signals and corresponding reference-pitch files. Group all channels/views of each utterance together.
Original license/access conditions: ODbL-1.0 database; DbCL-1.0 individual contents Public HTTPS download without registration or signed agreement. Preserve source attribution and license restrictions.
Source notes: Bounded remote ZIP central-directory inspection found 14,223 entries and 6,768,493,588 expanded bytes. This bounds both source WAV storage and PCM; verify archive MD5 before extraction.

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 9,436 audio assets, 6,638,467,152 stored-audio bytes and 6,638,051,968 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

unspecified: 9,436 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-ptdb-tug", 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: 944 records in partitions defined by CHIME (this release's native splits do not mark them), 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)
`ptdb-tug-speaker-sex`	classification	balanced_accuracy	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: 57

Total file size:

6.82 GB

json dict	__key__ string	__url__ string
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 312000, "member": "ptdb-tug-00034cea93bc977e4326df7c6df4b7a4.wav", "pcm_bytes": 624000, "sample_rate": 48000, "sample_width": 2, "sha256": "840ae42496d79290860ea29d57cfd49f184e9b796aadef399cd3d...	ptdb-tug-00034cea93bc977e4326df7c6df4b7a4	hf://datasets/ltuncay/chime-ptdb-tug@6dac2556b85ab2480a5ce600bd5257be29bb0093/data/unspecified/shard-000000.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 244800, "member": "ptdb-tug-000531e1cfcf4379723ad1f889125fe1.wav", "pcm_bytes": 489600, "sample_rate": 48000, "sample_width": 2, "sha256": "6cc59bcacc2d287e02a1287ba382d090c9553d6c0ee936ed994c7...	ptdb-tug-000531e1cfcf4379723ad1f889125fe1	hf://datasets/ltuncay/chime-ptdb-tug@6dac2556b85ab2480a5ce600bd5257be29bb0093/data/unspecified/shard-000000.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 368640, "member": "ptdb-tug-0005b624e61d609b15a0244057ad06ad.wav", "pcm_bytes": 737280, "sample_rate": 48000, "sample_width": 2, "sha256": "de95aa839b70fea54a25222ce93932b410c3ef4aa0595175d244e...	ptdb-tug-0005b624e61d609b15a0244057ad06ad	hf://datasets/ltuncay/chime-ptdb-tug@6dac2556b85ab2480a5ce600bd5257be29bb0093/data/unspecified/shard-000000.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 329760, "member": "ptdb-tug-0009186b61c14318777ec5b67a450152.wav", "pcm_bytes": 659520, "sample_rate": 48000, "sample_width": 2, "sha256": "14f5e7d24257912e87655e6b7f606eaff3134e4944a6a76bd39b1...	ptdb-tug-0009186b61c14318777ec5b67a450152	hf://datasets/ltuncay/chime-ptdb-tug@6dac2556b85ab2480a5ce600bd5257be29bb0093/data/unspecified/shard-000000.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 257280, "member": "ptdb-tug-000e9f5a466f9674296be04c49e16be3.wav", "pcm_bytes": 514560, "sample_rate": 48000, "sample_width": 2, "sha256": "83c6b4e3c35bb82f5a50b6a2652d7c0a1ced369bf46534445467e...	ptdb-tug-000e9f5a466f9674296be04c49e16be3	hf://datasets/ltuncay/chime-ptdb-tug@6dac2556b85ab2480a5ce600bd5257be29bb0093/data/unspecified/shard-000000.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 344640, "member": "ptdb-tug-001918032506d4b0f2ce10d39e37e01a.wav", "pcm_bytes": 689280, "sample_rate": 48000, "sample_width": 2, "sha256": "219e577b735832e209fbab8b9394bcedd5833ff452309c57b24e7...	ptdb-tug-001918032506d4b0f2ce10d39e37e01a	hf://datasets/ltuncay/chime-ptdb-tug@6dac2556b85ab2480a5ce600bd5257be29bb0093/data/unspecified/shard-000000.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 358560, "member": "ptdb-tug-001d16c90761ec5e7342379699da20f7.wav", "pcm_bytes": 717120, "sample_rate": 48000, "sample_width": 2, "sha256": "3fccaeca3b8062694ac7d56eeb7cdb2a24c1ea189c9fa90be07b5...	ptdb-tug-001d16c90761ec5e7342379699da20f7	hf://datasets/ltuncay/chime-ptdb-tug@6dac2556b85ab2480a5ce600bd5257be29bb0093/data/unspecified/shard-000000.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 427680, "member": "ptdb-tug-00224ce5361fdb81223e600fa668312a.wav", "pcm_bytes": 855360, "sample_rate": 48000, "sample_width": 2, "sha256": "d093693373db47bea23c58cc9f54366c8c97de4f34afc50cb2d51...	ptdb-tug-00224ce5361fdb81223e600fa668312a	hf://datasets/ltuncay/chime-ptdb-tug@6dac2556b85ab2480a5ce600bd5257be29bb0093/data/unspecified/shard-000000.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 329760, "member": "ptdb-tug-00261a18a215443c05ed4a7e71f6a4d5.wav", "pcm_bytes": 659520, "sample_rate": 48000, "sample_width": 2, "sha256": "ad71d2dda42ab04c4f0a40bda0751c5366f28b380958bf3946454...	ptdb-tug-00261a18a215443c05ed4a7e71f6a4d5	hf://datasets/ltuncay/chime-ptdb-tug@6dac2556b85ab2480a5ce600bd5257be29bb0093/data/unspecified/shard-000000.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 341760, "member": "ptdb-tug-0030cfdc47061dcadbcd8c8d2ab6ecf8.wav", "pcm_bytes": 683520, "sample_rate": 48000, "sample_width": 2, "sha256": "ad971b360499a77d323c4976a4d8faa638dcb1a5f5c00cbaf2cda...	ptdb-tug-0030cfdc47061dcadbcd8c8d2ab6ecf8	hf://datasets/ltuncay/chime-ptdb-tug@6dac2556b85ab2480a5ce600bd5257be29bb0093/data/unspecified/shard-000000.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 268800, "member": "ptdb-tug-004db625a2c7b3a80c805b6be1c3714a.wav", "pcm_bytes": 537600, "sample_rate": 48000, "sample_width": 2, "sha256": "bf6a8d2323de2a0c822e485800c9d068fb34286e26a33874f4178...	ptdb-tug-004db625a2c7b3a80c805b6be1c3714a	hf://datasets/ltuncay/chime-ptdb-tug@6dac2556b85ab2480a5ce600bd5257be29bb0093/data/unspecified/shard-000000.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 428160, "member": "ptdb-tug-005176a8d728ce640402570cc01f6ed0.wav", "pcm_bytes": 856320, "sample_rate": 48000, "sample_width": 2, "sha256": "46ded204cda8cf95aeac1d7c1a88f90fa8bdd1807af0c89d5b001...	ptdb-tug-005176a8d728ce640402570cc01f6ed0	hf://datasets/ltuncay/chime-ptdb-tug@6dac2556b85ab2480a5ce600bd5257be29bb0093/data/unspecified/shard-000000.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 324000, "member": "ptdb-tug-0051959e8c396c90c47fefb6f958a2fc.wav", "pcm_bytes": 648000, "sample_rate": 48000, "sample_width": 2, "sha256": "dde7cb138821ae0a3e0ccc9b5cc3d006915317f17d7b7282ff1bb...	ptdb-tug-0051959e8c396c90c47fefb6f958a2fc	hf://datasets/ltuncay/chime-ptdb-tug@6dac2556b85ab2480a5ce600bd5257be29bb0093/data/unspecified/shard-000000.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 403200, "member": "ptdb-tug-0055c9fe9b2ee95bc5e1ee764c4b6040.wav", "pcm_bytes": 806400, "sample_rate": 48000, "sample_width": 2, "sha256": "e5489662f3abe1006c02738f1b158755dd0ee22828ba51832bb08...	ptdb-tug-0055c9fe9b2ee95bc5e1ee764c4b6040	hf://datasets/ltuncay/chime-ptdb-tug@6dac2556b85ab2480a5ce600bd5257be29bb0093/data/unspecified/shard-000000.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 404160, "member": "ptdb-tug-005a15173dc03a2c41b7aa8daf0245af.wav", "pcm_bytes": 808320, "sample_rate": 48000, "sample_width": 2, "sha256": "358c9aa77b89c14aa86a732c124be467ab740e4e08be6d70f7073...	ptdb-tug-005a15173dc03a2c41b7aa8daf0245af	hf://datasets/ltuncay/chime-ptdb-tug@6dac2556b85ab2480a5ce600bd5257be29bb0093/data/unspecified/shard-000000.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 256800, "member": "ptdb-tug-00638c02645b1079babe60059b36f8a1.wav", "pcm_bytes": 513600, "sample_rate": 48000, "sample_width": 2, "sha256": "712e8f3dc588c6a061127326a06f71c0dd8351d41b69462036dd0...	ptdb-tug-00638c02645b1079babe60059b36f8a1	hf://datasets/ltuncay/chime-ptdb-tug@6dac2556b85ab2480a5ce600bd5257be29bb0093/data/unspecified/shard-000000.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 305760, "member": "ptdb-tug-006f1e97cec19cbd7f906dedb197336e.wav", "pcm_bytes": 611520, "sample_rate": 48000, "sample_width": 2, "sha256": "120fd75ae215a6f6af5af3783b2f895ec3f10752a3cc92ead3ad2...	ptdb-tug-006f1e97cec19cbd7f906dedb197336e	hf://datasets/ltuncay/chime-ptdb-tug@6dac2556b85ab2480a5ce600bd5257be29bb0093/data/unspecified/shard-000000.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 317760, "member": "ptdb-tug-007119a5360414a31f551889c27df76d.wav", "pcm_bytes": 635520, "sample_rate": 48000, "sample_width": 2, "sha256": "3567b5f64d67718c7761a459d39d80ae294298fdbd3c7e83fa44e...	ptdb-tug-007119a5360414a31f551889c27df76d	hf://datasets/ltuncay/chime-ptdb-tug@6dac2556b85ab2480a5ce600bd5257be29bb0093/data/unspecified/shard-000000.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 492480, "member": "ptdb-tug-007f82f680b397cedb26fae405e101db.wav", "pcm_bytes": 984960, "sample_rate": 48000, "sample_width": 2, "sha256": "cc291820a0a4efc83470984cb047de5f154c3de838a00c08f50c4...	ptdb-tug-007f82f680b397cedb26fae405e101db	hf://datasets/ltuncay/chime-ptdb-tug@6dac2556b85ab2480a5ce600bd5257be29bb0093/data/unspecified/shard-000000.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 268800, "member": "ptdb-tug-008103df4c208f9ad8ff340ae4d00746.wav", "pcm_bytes": 537600, "sample_rate": 48000, "sample_width": 2, "sha256": "965302bb503f5ae4416a2cdf83e991feb9aa047364c3f2468c46c...	ptdb-tug-008103df4c208f9ad8ff340ae4d00746	hf://datasets/ltuncay/chime-ptdb-tug@6dac2556b85ab2480a5ce600bd5257be29bb0093/data/unspecified/shard-000000.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 268800, "member": "ptdb-tug-008148330142cc8c7d9f2b6b23ae55f5.wav", "pcm_bytes": 537600, "sample_rate": 48000, "sample_width": 2, "sha256": "effe9eb83661917481af068c05235f4be81f31d6bac5d056d67dd...	ptdb-tug-008148330142cc8c7d9f2b6b23ae55f5	hf://datasets/ltuncay/chime-ptdb-tug@6dac2556b85ab2480a5ce600bd5257be29bb0093/data/unspecified/shard-000000.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 342720, "member": "ptdb-tug-00819209cd30caf2048f04fd9cbf2d79.wav", "pcm_bytes": 685440, "sample_rate": 48000, "sample_width": 2, "sha256": "3888c6c4990165bfdbc57014ffecd8c74591792ac1394b36edcc0...	ptdb-tug-00819209cd30caf2048f04fd9cbf2d79	hf://datasets/ltuncay/chime-ptdb-tug@6dac2556b85ab2480a5ce600bd5257be29bb0093/data/unspecified/shard-000000.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 415680, "member": "ptdb-tug-0084e8a955062e56b1ee68d248f4eb1b.wav", "pcm_bytes": 831360, "sample_rate": 48000, "sample_width": 2, "sha256": "ad9fca20751612794f0416d80468417f5729fc012b221c3068bb3...	ptdb-tug-0084e8a955062e56b1ee68d248f4eb1b	hf://datasets/ltuncay/chime-ptdb-tug@6dac2556b85ab2480a5ce600bd5257be29bb0093/data/unspecified/shard-000000.tar
{ "audio": { "channel_order": "source_native", "channels": 1, "format": "WAV", "frames": 432480, "member": "ptdb-tug-00893080f32567d9f384b433c0f18732.wav", "pcm_bytes": 864960, "sample_rate": 48000, "sample_width": 2, "sha256": "a8c3c81aa0a35364c38d4b3e55da1f927f57503325f3bd6cbeff9...	ptdb-tug-00893080f32567d9f384b433c0f18732	hf://datasets/ltuncay/chime-ptdb-tug@6dac2556b85ab2480a5ce600bd5257be29bb0093/data/unspecified/shard-000000.tar
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