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
competitor_id: string
confidence: double
dataset_id: string
extras: struct<model_id: string>
child 0, model_id: string
lang: string
modality: string
plugin_id: string
prediction: string
reference_text: string
sample_id: string
elapsed_ms: double
audio_url: null
plugin_version: string
audio_secs: double
created_at: string
hw: struct<host_class: string, cpu_model: string, threads: int64, accelerator: string, hostname: string>
child 0, host_class: string
child 1, cpu_model: string
child 2, threads: int64
child 3, accelerator: string
child 4, hostname: string
dataset_revision: string
peak_rss_mb: double
latency_ms: double
runner_version: string
to
{'competitor_id': Value('string'), 'sample_id': Value('string'), 'dataset_id': Value('string'), 'dataset_revision': Value('string'), 'lang': Value('string'), 'modality': Value('string'), 'plugin_id': Value('string'), 'plugin_version': Value('string'), 'runner_version': Value('string'), 'created_at': Value('string'), 'reference_text': Value('string'), 'prediction': Value('string'), 'confidence': Value('float64'), 'audio_url': Value('null'), 'latency_ms': Value('float64'), 'audio_secs': Value('float64'), 'elapsed_ms': Value('float64'), 'peak_rss_mb': Value('float64'), 'hw': {'host_class': Value('string'), 'cpu_model': Value('string'), 'threads': Value('int64'), 'accelerator': Value('string'), 'hostname': Value('string')}}
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
competitor_id: string
confidence: double
dataset_id: string
extras: struct<model_id: string>
child 0, model_id: string
lang: string
modality: string
plugin_id: string
prediction: string
reference_text: string
sample_id: string
elapsed_ms: double
audio_url: null
plugin_version: string
audio_secs: double
created_at: string
hw: struct<host_class: string, cpu_model: string, threads: int64, accelerator: string, hostname: string>
child 0, host_class: string
child 1, cpu_model: string
child 2, threads: int64
child 3, accelerator: string
child 4, hostname: string
dataset_revision: string
peak_rss_mb: double
latency_ms: double
runner_version: string
to
{'competitor_id': Value('string'), 'sample_id': Value('string'), 'dataset_id': Value('string'), 'dataset_revision': Value('string'), 'lang': Value('string'), 'modality': Value('string'), 'plugin_id': Value('string'), 'plugin_version': Value('string'), 'runner_version': Value('string'), 'created_at': Value('string'), 'reference_text': Value('string'), 'prediction': Value('string'), 'confidence': Value('float64'), 'audio_url': Value('null'), 'latency_ms': Value('float64'), 'audio_secs': Value('float64'), 'elapsed_ms': Value('float64'), 'peak_rss_mb': Value('float64'), 'hw': {'host_class': Value('string'), 'cpu_model': Value('string'), 'threads': Value('int64'), 'accelerator': Value('string'), 'hostname': Value('string')}}
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.
OVOS stt bench — speech-massive-es-ES
Per-clip transcripts predictions of the registered
OVOS Plugin Arena
stt fighters over
FBK-MT/Speech-MASSIVE-test.
One dedicated repo per modality; one dataset split per language; one JSONL
file per fighter under predictions/<lang>/<competitor_id>.jsonl. Rows follow
the arena §3.2 contract (pinned dataset_revision, plugin_version,
latency_ms). Produced by the reproducible benchmark script in the arena repo;
the arena's assemble workflow turns these rows into benchmark boards, blind
battle pools and a benchmark-seeded ELO ladder.
Funded by the NGI0 Commons Fund / NLnet under grant agreement No 101135429, through the European Commission's Next Generation Internet programme.
- Downloads last month
- 208