The dataset viewer is not available for this subset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 290, in _generate_tables
pa_table = paj.read_json(
io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size)
)
File "pyarrow/_json.pyx", line 342, in pyarrow._json.read_json
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
return check_status(status)
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(status)
pyarrow.lib.ArrowInvalid: JSON parse error: Column() changed from object to string in row 0
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
~~~~~~~~~~~~~~~~~~~~~~~~~^
StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 101, in _split_generators
pa_table = next(iter(self._generate_tables(**splits[0].gen_kwargs, allow_full_read=False)))[1]
~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 304, in _generate_tables
batch = json_encode_fields_in_json_lines(original_batch, json_field_paths)
File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 111, in json_encode_fields_in_json_lines
examples = [ujson_loads(line) for line in original_batch.splitlines()]
~~~~~~~~~~~^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 20, in ujson_loads
return pd.io.json.ujson_loads(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
ValueError: Expected object or value
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/split_names.py", line 71, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
~~~~~~~~~~~~~~~~~~~~~~~^
path=dataset,
^^^^^^^^^^^^^
config_name=config,
^^^^^^^^^^^^^^^^^^^
token=hf_token,
^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
path,
...<6 lines>...
**config_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.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.
VoxCeleb2 dev speaker names
Maps each of the 5,994 VoxCeleb2 dev speaker ids (id00012...id09272) to a
celebrity name with a confidence grade and the evidence behind it.
Provenance
Two independent routes, cross-checked:
- YouTube titles (
youtube-titlesource): titles of the first two YouTube videos per speaker, fetched via the YouTube oEmbed API, with names extracted and graded per title; a reserved third video was fetched only to adjudicate conflicts. - VGGFace2 identity_meta (
vggface2source): the authoritative VGGFace2identity_meta.csvnames joined to VoxCeleb2 ids viavox2_meta.csv(VoxCeleb2 identities are a subset of VGGFace2).
Route agreement over the 5,994 speakers: agree = 4,691, conflict = 137,
vgg_only = 1,166 (VGGFace2 name, titles gave no usable evidence),
yt_only = 0, unresolved = 0. 69 of the 137 conflicts were manually
adjudicated with third-video evidence (source adjudication); the remaining 68
stay unnamed. A 40-speaker random spot-check found 37/40 fully consistent; the
3 flagged speakers (id00783 interviewer-vs-guest risk, id03812 own-channel
inference only, id07169 first-name-only title) are downgraded to low.
Records
voxceleb2_names_full.json: {"idXXXXX": {"name": str|null, "confidence": "high"|"medium"|"low", "sources": [...], "evidence": str}}.
high— both routes agree, or adjudicated with strong third-video evidence (4,720 speakers)medium— VGGFace2-only, authoritative but title-unconfirmed (1,166)low— adjudicated on weaker evidence or spot-check-flagged (26 named); 82 speakers remainname: null(68 unadjudicated conflicts, 14 adjudicated to null)
Coverage: 5,912 / 5,994 speakers named (98.6%).
Consumed by voxpath as the committed
compact asset src/voxpath/data/voxceleb2_names.json (name + confidence only),
attached to corpus per-speaker metadata.
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