The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
attempts: int64
error: struct<cause_type: string, http_status: int64, type: string, reason: string>
child 0, cause_type: string
child 1, http_status: int64
child 2, type: string
child 3, reason: string
source_id: string
source_url: string
metadata_complete: bool
retained_source_changed_bytes: int64
scope: string
package_count: int64
dataset: string
validated_bytes: int64
counts: struct<failed: int64, pending: int64, uploaded: int64, validated: int64>
child 0, failed: int64
child 1, pending: int64
child 2, uploaded: int64
child 3, validated: int64
complete: bool
readback_verified_shards: int64
updated_at: double
uploaded_audio_bytes: int64
uploaded_source_hours: double
validated_source_hours: double
repository: struct<commit: string, metadata_mirror_verified: bool, repo_id: string>
child 0, commit: string
child 1, metadata_mirror_verified: bool
child 2, repo_id: string
index_complete: struct<metadata_revision: string, rejected: int64, scanned_rows: int64>
child 0, metadata_revision: string
child 1, rejected: int64
child 2, scanned_rows: int64
to
{'complete': Value('bool'), 'counts': {'failed': Value('int64'), 'pending': Value('int64'), 'uploaded': Value('int64'), 'validated': Value('int64')}, 'dataset': Value('string'), 'index_complete': {'metadata_revision': Value('string'), 'rejected': Value('int64'), 'scanned_rows': Value('int64')}, 'metadata_complete': Value('bool'), 'package_count': Value('int64'), 'readback_verified_shards': Value('int64'), 'repository': {'commit': Value('string'), 'metadata_mirror_verified': Value('bool'), 'repo_id': Value('string')}, 'retained_source_changed_bytes': Value('int64'), 'scope': Value('string'), 'updated_at': Value('float64'), 'uploaded_audio_bytes': Value('int64'), 'uploaded_source_hours': Value('float64'), 'validated_bytes': Value('int64'), 'validated_source_hours': Value('float64')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
attempts: int64
error: struct<cause_type: string, http_status: int64, type: string, reason: string>
child 0, cause_type: string
child 1, http_status: int64
child 2, type: string
child 3, reason: string
source_id: string
source_url: string
metadata_complete: bool
retained_source_changed_bytes: int64
scope: string
package_count: int64
dataset: string
validated_bytes: int64
counts: struct<failed: int64, pending: int64, uploaded: int64, validated: int64>
child 0, failed: int64
child 1, pending: int64
child 2, uploaded: int64
child 3, validated: int64
complete: bool
readback_verified_shards: int64
updated_at: double
uploaded_audio_bytes: int64
uploaded_source_hours: double
validated_source_hours: double
repository: struct<commit: string, metadata_mirror_verified: bool, repo_id: string>
child 0, commit: string
child 1, metadata_mirror_verified: bool
child 2, repo_id: string
index_complete: struct<metadata_revision: string, rejected: int64, scanned_rows: int64>
child 0, metadata_revision: string
child 1, rejected: int64
child 2, scanned_rows: int64
to
{'complete': Value('bool'), 'counts': {'failed': Value('int64'), 'pending': Value('int64'), 'uploaded': Value('int64'), 'validated': Value('int64')}, 'dataset': Value('string'), 'index_complete': {'metadata_revision': Value('string'), 'rejected': Value('int64'), 'scanned_rows': Value('int64')}, 'metadata_complete': Value('bool'), 'package_count': Value('int64'), 'readback_verified_shards': Value('int64'), 'repository': {'commit': Value('string'), 'metadata_mirror_verified': Value('bool'), 'repo_id': Value('string')}, 'retained_source_changed_bytes': Value('int64'), 'scope': Value('string'), 'updated_at': Value('float64'), 'uploaded_audio_bytes': Value('int64'), 'uploaded_source_hours': Value('float64'), 'validated_bytes': Value('int64'), 'validated_source_hours': Value('float64')}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
HiFiTTS-2 source audio archive
This hysi-lab mirror preserves NVIDIA's pinned HiFiTTS-2 metadata and the original LibriVox chapter audio referenced by its 22 kHz inventory. The 44 kHz metadata is also retained; it describes a subset and must not be counted as additional hours. Sources: https://huggingface.co/datasets/nvidia/hifitts-2 and https://librivox.org/. Please credit Ryan Langman et al., HiFiTTS-2: A Large-Scale High Bandwidth Speech Dataset (Interspeech 2025), NVIDIA, and the original LibriVox readers/books.
Audio acquisition is in progress. Tar shards under archives/ (including hash
subdirectories) contain original compressed
chapter bytes at audio/<SHA256-of-source-URL>.media and MANIFEST.jsonl, which
maps each member to its original URL, byte digest and measured duration. Each
sidecar manifest identifies the exact tar checksum. This is source audio, not
pre-cut utterance FLACs. Use the original chapter offsets and utterance manifests
to reconstruct the desired 22.05 kHz or 44.1 kHz split. No ASR, speaker separation,
resampling or transcript changes are applied during acquisition.
acquisition_status.json reports verified uploads and failures. Upstream nominal
hours and metadata completion are not delivered-audio counts. A chapter may be
unavailable or may fail a duration/decode check; failures remain recorded.
The NVIDIA metadata is CC BY 4.0. LibriVox source recordings are public domain in
the USA; retain source attribution and consult original book/recording details.
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