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
version: string
source_hdf5: string
split_seed: int64
eligible_only: bool
total_rollouts: int64
counts: struct<train: int64, val: int64, test: int64>
child 0, train: int64
child 1, val: int64
child 2, test: int64
records: list<item: struct<episode: string, condition: string, condition_id: int64, rollout_id: int64, seed: (... 94 chars omitted)
child 0, item: struct<episode: string, condition: string, condition_id: int64, rollout_id: int64, seed: int64, trig (... 82 chars omitted)
child 0, episode: string
child 1, condition: string
child 2, condition_id: int64
child 3, rollout_id: int64
child 4, seed: int64
child 5, trigger_step: int64
child 6, window_num_frames: int64
child 7, drop_after_event: int64
child 8, split: string
hdf5: string
episodes: list<item: struct<episode: int64, seed: int64, teacher_steps: int64, episode_start_progress: int64, (... 209 chars omitted)
child 0, item: struct<episode: int64, seed: int64, teacher_steps: int64, episode_start_progress: int64, unique_rgb_ (... 197 chars omitted)
child 0, episode: int64
child 1, seed: int64
child 2, teacher_steps: int64
child 3, episode_start_progress: int64
child 4, unique_rgb_frames: int64
child 5, rgb_temporal_abs_diff: double
child 6, tactile_abs_mean: double
child 7, tactile_abs_max: double
child 8, success_events: int64
child 9, goal_switch_before_execution: int64
child 10, reset_events: int64
child 11, drop_events: int64
teacher_sha256: string
smoke_sha256: string
num_episodes_requested: int64
to
{'num_episodes_requested': Value('int64'), 'episodes': List({'episode': Value('int64'), 'seed': Value('int64'), 'teacher_steps': Value('int64'), 'episode_start_progress': Value('int64'), 'unique_rgb_frames': Value('int64'), 'rgb_temporal_abs_diff': Value('float64'), 'tactile_abs_mean': Value('float64'), 'tactile_abs_max': Value('float64'), 'success_events': Value('int64'), 'goal_switch_before_execution': Value('int64'), 'reset_events': Value('int64'), 'drop_events': Value('int64')}), 'hdf5': Value('string'), 'teacher_sha256': Value('string'), 'smoke_sha256': 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
version: string
source_hdf5: string
split_seed: int64
eligible_only: bool
total_rollouts: int64
counts: struct<train: int64, val: int64, test: int64>
child 0, train: int64
child 1, val: int64
child 2, test: int64
records: list<item: struct<episode: string, condition: string, condition_id: int64, rollout_id: int64, seed: (... 94 chars omitted)
child 0, item: struct<episode: string, condition: string, condition_id: int64, rollout_id: int64, seed: int64, trig (... 82 chars omitted)
child 0, episode: string
child 1, condition: string
child 2, condition_id: int64
child 3, rollout_id: int64
child 4, seed: int64
child 5, trigger_step: int64
child 6, window_num_frames: int64
child 7, drop_after_event: int64
child 8, split: string
hdf5: string
episodes: list<item: struct<episode: int64, seed: int64, teacher_steps: int64, episode_start_progress: int64, (... 209 chars omitted)
child 0, item: struct<episode: int64, seed: int64, teacher_steps: int64, episode_start_progress: int64, unique_rgb_ (... 197 chars omitted)
child 0, episode: int64
child 1, seed: int64
child 2, teacher_steps: int64
child 3, episode_start_progress: int64
child 4, unique_rgb_frames: int64
child 5, rgb_temporal_abs_diff: double
child 6, tactile_abs_mean: double
child 7, tactile_abs_max: double
child 8, success_events: int64
child 9, goal_switch_before_execution: int64
child 10, reset_events: int64
child 11, drop_events: int64
teacher_sha256: string
smoke_sha256: string
num_episodes_requested: int64
to
{'num_episodes_requested': Value('int64'), 'episodes': List({'episode': Value('int64'), 'seed': Value('int64'), 'teacher_steps': Value('int64'), 'episode_start_progress': Value('int64'), 'unique_rgb_frames': Value('int64'), 'rgb_temporal_abs_diff': Value('float64'), 'tactile_abs_mean': Value('float64'), 'tactile_abs_max': Value('float64'), 'success_events': Value('int64'), 'goal_switch_before_execution': Value('int64'), 'reset_events': Value('int64'), 'drop_events': Value('int64')}), 'hdf5': Value('string'), 'teacher_sha256': Value('string'), 'smoke_sha256': 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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