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
file: string
labels: list<item: string>
child 0, item: string
split: string
shard: string
num_classes: int64
source: string
part: int64
class_names: list<item: string>
child 0, item: string
total_samples: int64
label_to_idx: struct<A capella: int64, Accelerating, revving, vroom: int64, Accordion: int64, Acoustic guitar: int (... 10459 chars omitted)
child 0, A capella: int64
child 1, Accelerating, revving, vroom: int64
child 2, Accordion: int64
child 3, Acoustic guitar: int64
child 4, Afrobeat: int64
child 5, Air brake: int64
child 6, Air conditioning: int64
child 7, Air horn, truck horn: int64
child 8, Aircraft: int64
child 9, Aircraft engine: int64
child 10, Alarm: int64
child 11, Alarm clock: int64
child 12, Ambient music: int64
child 13, Ambulance (siren): int64
child 14, Angry music: int64
child 15, Animal: int64
child 16, Applause: int64
child 17, Arrow: int64
child 18, Artillery fire: int64
child 19, Babbling: int64
child 20, Baby cry, infant cry: int64
child 21, Baby laughter: int64
child 22, Background music: int64
child 23, Bagpipes: int64
child 24, Bang: int64
child 25, Banjo: int64
child 26, Bark: int64
child 27, Basketball bounce: int64
child 28, Bass drum: int64
child 29, Bass guitar: int64
child 30, Bathtub (filling or washing): int64
child 31, Battle cry: int64
child 32, Beatboxing: int64
child 33, Bee, wasp, etc.: int64
child 34, Beep, bleep: int64
child 35, Bell: int64
child 36, Be
...
ing fork: int64
child 481, Turkey: int64
child 482, Typewriter: int64
child 483, Typing: int64
child 484, Ukulele: int64
child 485, Vacuum cleaner: int64
child 486, Vehicle: int64
child 487, Vehicle horn, car horn, honking: int64
child 488, Vibraphone: int64
child 489, Vibration: int64
child 490, Video game music: int64
child 491, Violin, fiddle: int64
child 492, Vocal music: int64
child 493, Wail, moan: int64
child 494, Walk, footsteps: int64
child 495, Water: int64
child 496, Water tap, faucet: int64
child 497, Waterfall: int64
child 498, Waves, surf: int64
child 499, Wedding music: int64
child 500, Whack, thwack: int64
child 501, Whale vocalization: int64
child 502, Wheeze: int64
child 503, Whimper: int64
child 504, Whimper (dog): int64
child 505, Whip: int64
child 506, Whir: int64
child 507, Whispering: int64
child 508, Whistle: int64
child 509, Whistling: int64
child 510, White noise: int64
child 511, Whoop: int64
child 512, Whoosh, swoosh, swish: int64
child 513, Wild animals: int64
child 514, Wind: int64
child 515, Wind chime: int64
child 516, Wind instrument, woodwind instrument: int64
child 517, Wind noise (microphone): int64
child 518, Wood: int64
child 519, Wood block: int64
child 520, Writing: int64
child 521, Yell: int64
child 522, Yip: int64
child 523, Yodeling: int64
child 524, Zing: int64
child 525, Zipper (clothing): int64
child 526, Zither: int64
parquet_shards: int64
to
{'part': Value('int64'), 'split': Value('string'), 'parquet_shards': Value('int64'), 'num_classes': Value('int64'), 'label_to_idx': {'A capella': Value('int64'), 'Accelerating, revving, vroom': Value('int64'), 'Accordion': Value('int64'), 'Acoustic guitar': Value('int64'), 'Afrobeat': Value('int64'), 'Air brake': Value('int64'), 'Air conditioning': Value('int64'), 'Air horn, truck horn': Value('int64'), 'Aircraft': Value('int64'), 'Aircraft engine': Value('int64'), 'Alarm': Value('int64'), 'Alarm clock': Value('int64'), 'Ambient music': Value('int64'), 'Ambulance (siren)': Value('int64'), 'Angry music': Value('int64'), 'Animal': Value('int64'), 'Applause': Value('int64'), 'Arrow': Value('int64'), 'Artillery fire': Value('int64'), 'Babbling': Value('int64'), 'Baby cry, infant cry': Value('int64'), 'Baby laughter': Value('int64'), 'Background music': Value('int64'), 'Bagpipes': Value('int64'), 'Bang': Value('int64'), 'Banjo': Value('int64'), 'Bark': Value('int64'), 'Basketball bounce': Value('int64'), 'Bass drum': Value('int64'), 'Bass guitar': Value('int64'), 'Bathtub (filling or washing)': Value('int64'), 'Battle cry': Value('int64'), 'Beatboxing': Value('int64'), 'Bee, wasp, etc.': Value('int64'), 'Beep, bleep': Value('int64'), 'Bell': Value('int64'), 'Bellow': Value('int64'), 'Belly laugh': Value('int64'), 'Bicycle': Value('int64'), 'Bicycle bell': Value('int64'), 'Bird': Value('int64'), 'Bird flight, flapping wings': Value('int64'), 'Bird vocalization, bird call, bird song
...
('int64'), 'Typewriter': Value('int64'), 'Typing': Value('int64'), 'Ukulele': Value('int64'), 'Vacuum cleaner': Value('int64'), 'Vehicle': Value('int64'), 'Vehicle horn, car horn, honking': Value('int64'), 'Vibraphone': Value('int64'), 'Vibration': Value('int64'), 'Video game music': Value('int64'), 'Violin, fiddle': Value('int64'), 'Vocal music': Value('int64'), 'Wail, moan': Value('int64'), 'Walk, footsteps': Value('int64'), 'Water': Value('int64'), 'Water tap, faucet': Value('int64'), 'Waterfall': Value('int64'), 'Waves, surf': Value('int64'), 'Wedding music': Value('int64'), 'Whack, thwack': Value('int64'), 'Whale vocalization': Value('int64'), 'Wheeze': Value('int64'), 'Whimper': Value('int64'), 'Whimper (dog)': Value('int64'), 'Whip': Value('int64'), 'Whir': Value('int64'), 'Whispering': Value('int64'), 'Whistle': Value('int64'), 'Whistling': Value('int64'), 'White noise': Value('int64'), 'Whoop': Value('int64'), 'Whoosh, swoosh, swish': Value('int64'), 'Wild animals': Value('int64'), 'Wind': Value('int64'), 'Wind chime': Value('int64'), 'Wind instrument, woodwind instrument': Value('int64'), 'Wind noise (microphone)': Value('int64'), 'Wood': Value('int64'), 'Wood block': Value('int64'), 'Writing': Value('int64'), 'Yell': Value('int64'), 'Yip': Value('int64'), 'Yodeling': Value('int64'), 'Zing': Value('int64'), 'Zipper (clothing)': Value('int64'), 'Zither': Value('int64')}, 'class_names': List(Value('string')), 'total_samples': Value('int64'), 'source': 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 2951, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, 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 547, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, 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
file: string
labels: list<item: string>
child 0, item: string
split: string
shard: string
num_classes: int64
source: string
part: int64
class_names: list<item: string>
child 0, item: string
total_samples: int64
label_to_idx: struct<A capella: int64, Accelerating, revving, vroom: int64, Accordion: int64, Acoustic guitar: int (... 10459 chars omitted)
child 0, A capella: int64
child 1, Accelerating, revving, vroom: int64
child 2, Accordion: int64
child 3, Acoustic guitar: int64
child 4, Afrobeat: int64
child 5, Air brake: int64
child 6, Air conditioning: int64
child 7, Air horn, truck horn: int64
child 8, Aircraft: int64
child 9, Aircraft engine: int64
child 10, Alarm: int64
child 11, Alarm clock: int64
child 12, Ambient music: int64
child 13, Ambulance (siren): int64
child 14, Angry music: int64
child 15, Animal: int64
child 16, Applause: int64
child 17, Arrow: int64
child 18, Artillery fire: int64
child 19, Babbling: int64
child 20, Baby cry, infant cry: int64
child 21, Baby laughter: int64
child 22, Background music: int64
child 23, Bagpipes: int64
child 24, Bang: int64
child 25, Banjo: int64
child 26, Bark: int64
child 27, Basketball bounce: int64
child 28, Bass drum: int64
child 29, Bass guitar: int64
child 30, Bathtub (filling or washing): int64
child 31, Battle cry: int64
child 32, Beatboxing: int64
child 33, Bee, wasp, etc.: int64
child 34, Beep, bleep: int64
child 35, Bell: int64
child 36, Be
...
ing fork: int64
child 481, Turkey: int64
child 482, Typewriter: int64
child 483, Typing: int64
child 484, Ukulele: int64
child 485, Vacuum cleaner: int64
child 486, Vehicle: int64
child 487, Vehicle horn, car horn, honking: int64
child 488, Vibraphone: int64
child 489, Vibration: int64
child 490, Video game music: int64
child 491, Violin, fiddle: int64
child 492, Vocal music: int64
child 493, Wail, moan: int64
child 494, Walk, footsteps: int64
child 495, Water: int64
child 496, Water tap, faucet: int64
child 497, Waterfall: int64
child 498, Waves, surf: int64
child 499, Wedding music: int64
child 500, Whack, thwack: int64
child 501, Whale vocalization: int64
child 502, Wheeze: int64
child 503, Whimper: int64
child 504, Whimper (dog): int64
child 505, Whip: int64
child 506, Whir: int64
child 507, Whispering: int64
child 508, Whistle: int64
child 509, Whistling: int64
child 510, White noise: int64
child 511, Whoop: int64
child 512, Whoosh, swoosh, swish: int64
child 513, Wild animals: int64
child 514, Wind: int64
child 515, Wind chime: int64
child 516, Wind instrument, woodwind instrument: int64
child 517, Wind noise (microphone): int64
child 518, Wood: int64
child 519, Wood block: int64
child 520, Writing: int64
child 521, Yell: int64
child 522, Yip: int64
child 523, Yodeling: int64
child 524, Zing: int64
child 525, Zipper (clothing): int64
child 526, Zither: int64
parquet_shards: int64
to
{'part': Value('int64'), 'split': Value('string'), 'parquet_shards': Value('int64'), 'num_classes': Value('int64'), 'label_to_idx': {'A capella': Value('int64'), 'Accelerating, revving, vroom': Value('int64'), 'Accordion': Value('int64'), 'Acoustic guitar': Value('int64'), 'Afrobeat': Value('int64'), 'Air brake': Value('int64'), 'Air conditioning': Value('int64'), 'Air horn, truck horn': Value('int64'), 'Aircraft': Value('int64'), 'Aircraft engine': Value('int64'), 'Alarm': Value('int64'), 'Alarm clock': Value('int64'), 'Ambient music': Value('int64'), 'Ambulance (siren)': Value('int64'), 'Angry music': Value('int64'), 'Animal': Value('int64'), 'Applause': Value('int64'), 'Arrow': Value('int64'), 'Artillery fire': Value('int64'), 'Babbling': Value('int64'), 'Baby cry, infant cry': Value('int64'), 'Baby laughter': Value('int64'), 'Background music': Value('int64'), 'Bagpipes': Value('int64'), 'Bang': Value('int64'), 'Banjo': Value('int64'), 'Bark': Value('int64'), 'Basketball bounce': Value('int64'), 'Bass drum': Value('int64'), 'Bass guitar': Value('int64'), 'Bathtub (filling or washing)': Value('int64'), 'Battle cry': Value('int64'), 'Beatboxing': Value('int64'), 'Bee, wasp, etc.': Value('int64'), 'Beep, bleep': Value('int64'), 'Bell': Value('int64'), 'Bellow': Value('int64'), 'Belly laugh': Value('int64'), 'Bicycle': Value('int64'), 'Bicycle bell': Value('int64'), 'Bird': Value('int64'), 'Bird flight, flapping wings': Value('int64'), 'Bird vocalization, bird call, bird song
...
('int64'), 'Typewriter': Value('int64'), 'Typing': Value('int64'), 'Ukulele': Value('int64'), 'Vacuum cleaner': Value('int64'), 'Vehicle': Value('int64'), 'Vehicle horn, car horn, honking': Value('int64'), 'Vibraphone': Value('int64'), 'Vibration': Value('int64'), 'Video game music': Value('int64'), 'Violin, fiddle': Value('int64'), 'Vocal music': Value('int64'), 'Wail, moan': Value('int64'), 'Walk, footsteps': Value('int64'), 'Water': Value('int64'), 'Water tap, faucet': Value('int64'), 'Waterfall': Value('int64'), 'Waves, surf': Value('int64'), 'Wedding music': Value('int64'), 'Whack, thwack': Value('int64'), 'Whale vocalization': Value('int64'), 'Wheeze': Value('int64'), 'Whimper': Value('int64'), 'Whimper (dog)': Value('int64'), 'Whip': Value('int64'), 'Whir': Value('int64'), 'Whispering': Value('int64'), 'Whistle': Value('int64'), 'Whistling': Value('int64'), 'White noise': Value('int64'), 'Whoop': Value('int64'), 'Whoosh, swoosh, swish': Value('int64'), 'Wild animals': Value('int64'), 'Wind': Value('int64'), 'Wind chime': Value('int64'), 'Wind instrument, woodwind instrument': Value('int64'), 'Wind noise (microphone)': Value('int64'), 'Wood': Value('int64'), 'Wood block': Value('int64'), 'Writing': Value('int64'), 'Yell': Value('int64'), 'Yip': Value('int64'), 'Yodeling': Value('int64'), 'Zing': Value('int64'), 'Zipper (clothing)': Value('int64'), 'Zither': Value('int64')}, 'class_names': List(Value('string')), 'total_samples': Value('int64'), 'source': 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.
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