Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
attempts: int64
error: struct<cause_type: string, http_status: int64, type: string, actual_sec: double, expected_sec: doubl (... 18 chars omitted)
child 0, cause_type: string
child 1, http_status: int64
child 2, type: string
child 3, actual_sec: double
child 4, expected_sec: double
child 5, reason: string
source_id: string
source_url: string
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
metadata_complete: bool
updated_at: double
dataset: string
readback_verified_shards: int64
public_audio_status: string
public_payload: string
counts: struct<failed: int64, pending: int64, source_changed: int64, validated: int64>
child 0, failed: int64
child 1, pending: int64
child 2, source_changed: int64
child 3, validated: int64
package_count: int64
uploaded_source_hours: int64
scope: string
validated_source_hours: double
validated_bytes: int64
complete: bool
retained_source_changed_bytes: int64
uploaded_audio_bytes: int64
to
{'complete': Value('bool'), 'counts': {'failed': Value('int64'), 'pending': Value('int64'), 'source_changed': 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'), 'public_audio_status': Value('string'), 'public_payload': Value('string'), '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('int64'), '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, actual_sec: double, expected_sec: doubl (... 18 chars omitted)
child 0, cause_type: string
child 1, http_status: int64
child 2, type: string
child 3, actual_sec: double
child 4, expected_sec: double
child 5, reason: string
source_id: string
source_url: string
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
metadata_complete: bool
updated_at: double
dataset: string
readback_verified_shards: int64
public_audio_status: string
public_payload: string
counts: struct<failed: int64, pending: int64, source_changed: int64, validated: int64>
child 0, failed: int64
child 1, pending: int64
child 2, source_changed: int64
child 3, validated: int64
package_count: int64
uploaded_source_hours: int64
scope: string
validated_source_hours: double
validated_bytes: int64
complete: bool
retained_source_changed_bytes: int64
uploaded_audio_bytes: int64
to
{'complete': Value('bool'), 'counts': {'failed': Value('int64'), 'pending': Value('int64'), 'source_changed': 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'), 'public_audio_status': Value('string'), 'public_payload': Value('string'), '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('int64'), '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.
DuplexChat English reconstruction metadata
This hysi-lab mirror retains the English reconstruction manifest at the exact
upstream revision in source_manifest.json. Source and reconstruction code:
https://huggingface.co/datasets/sarulab-speech/DuplexChat and
https://github.com/sarulab-speech/DuplexChat.
Credit Wataru Nakata, Yuki Saito and Hiroshi Saruwatari, DuplexChat: Constructing
Speaker-Separated Full-Duplex Dialogue Speech at Scale for Spoken Dialogue
Language Modeling (2026). The upstream manifest contains original episode URLs,
dialogue intervals and speaker labels. It does not contain transcripts or native
isolated speaker channels. The upstream counts file includes Japanese as well;
this acquisition's selected payload is English only.
The MIT license covers reconstruction metadata and code, not the podcast audio. Underlying audio rights remain with its publishers. No podcast audio is publicly redistributed by this repository without separate rights verification. Server-side source acquisition is separate from this metadata mirror. It does not imply speaker separation, full-duplex training readiness or full recovery.
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