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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
mode: string
config_path: string
perturbation_seed: int64
entries: list<item: struct<task_id: int64, ep_idx: int64, deltas: struct<shift: struct<x: double, y: double, (... 135 chars omitted)
child 0, item: struct<task_id: int64, ep_idx: int64, deltas: struct<shift: struct<x: double, y: double, theta_rad: (... 123 chars omitted)
child 0, task_id: int64
child 1, ep_idx: int64
child 2, deltas: struct<shift: struct<x: double, y: double, theta_rad: double, magnitude_x: double, magnitude_y: doub (... 76 chars omitted)
child 0, shift: struct<x: double, y: double, theta_rad: double, magnitude_x: double, magnitude_y: double>
child 0, x: double
child 1, y: double
child 2, theta_rad: double
child 3, magnitude_x: double
child 4, magnitude_y: double
child 1, objects_applied: list<item: string>
child 0, item: string
child 2, objects_missing: list<item: null>
child 0, item: null
per_task: struct<T0: struct<task_desc: string, pc_success: double, successes: list<item: bool>, n_episodes: in (... 896 chars omitted)
child 0, T0: struct<task_desc: string, pc_success: double, successes: list<item: bool>, n_episodes: int64>
child 0, task_desc: string
child 1, pc_success: double
child 2, successes: list<item: bool>
child 0, item: bool
child 3, n_episodes: int64
child 1, T1: struct<task_desc: string, pc_success: dou
...
ask_desc: string, pc_success: double, successes: list<item: bool>, n_episodes: int64>
child 0, task_desc: string
child 1, pc_success: double
child 2, successes: list<item: bool>
child 0, item: bool
child 3, n_episodes: int64
child 6, T6: struct<task_desc: string, pc_success: double, successes: list<item: bool>, n_episodes: int64>
child 0, task_desc: string
child 1, pc_success: double
child 2, successes: list<item: bool>
child 0, item: bool
child 3, n_episodes: int64
child 7, T7: struct<task_desc: string, pc_success: double, successes: list<item: bool>, n_episodes: int64>
child 0, task_desc: string
child 1, pc_success: double
child 2, successes: list<item: bool>
child 0, item: bool
child 3, n_episodes: int64
child 8, T8: struct<task_desc: string, pc_success: double, successes: list<item: bool>, n_episodes: int64>
child 0, task_desc: string
child 1, pc_success: double
child 2, successes: list<item: bool>
child 0, item: bool
child 3, n_episodes: int64
child 9, T9: struct<task_desc: string, pc_success: double, successes: list<item: bool>, n_episodes: int64>
child 0, task_desc: string
child 1, pc_success: double
child 2, successes: list<item: bool>
child 0, item: bool
child 3, n_episodes: int64
overall: struct<pc_success: double, n_episodes: int64>
child 0, pc_success: double
child 1, n_episodes: int64
to
{'overall': {'pc_success': Value('float64'), 'n_episodes': Value('int64')}, 'per_task': {'T0': {'task_desc': Value('string'), 'pc_success': Value('float64'), 'successes': List(Value('bool')), 'n_episodes': Value('int64')}, 'T1': {'task_desc': Value('string'), 'pc_success': Value('float64'), 'successes': List(Value('bool')), 'n_episodes': Value('int64')}, 'T2': {'task_desc': Value('string'), 'pc_success': Value('float64'), 'successes': List(Value('bool')), 'n_episodes': Value('int64')}, 'T3': {'task_desc': Value('string'), 'pc_success': Value('float64'), 'successes': List(Value('bool')), 'n_episodes': Value('int64')}, 'T4': {'task_desc': Value('string'), 'pc_success': Value('float64'), 'successes': List(Value('bool')), 'n_episodes': Value('int64')}, 'T5': {'task_desc': Value('string'), 'pc_success': Value('float64'), 'successes': List(Value('bool')), 'n_episodes': Value('int64')}, 'T6': {'task_desc': Value('string'), 'pc_success': Value('float64'), 'successes': List(Value('bool')), 'n_episodes': Value('int64')}, 'T7': {'task_desc': Value('string'), 'pc_success': Value('float64'), 'successes': List(Value('bool')), 'n_episodes': Value('int64')}, 'T8': {'task_desc': Value('string'), 'pc_success': Value('float64'), 'successes': List(Value('bool')), 'n_episodes': Value('int64')}, 'T9': {'task_desc': Value('string'), 'pc_success': Value('float64'), 'successes': List(Value('bool')), 'n_episodes': Value('int64')}}}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
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 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 295, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
mode: string
config_path: string
perturbation_seed: int64
entries: list<item: struct<task_id: int64, ep_idx: int64, deltas: struct<shift: struct<x: double, y: double, (... 135 chars omitted)
child 0, item: struct<task_id: int64, ep_idx: int64, deltas: struct<shift: struct<x: double, y: double, theta_rad: (... 123 chars omitted)
child 0, task_id: int64
child 1, ep_idx: int64
child 2, deltas: struct<shift: struct<x: double, y: double, theta_rad: double, magnitude_x: double, magnitude_y: doub (... 76 chars omitted)
child 0, shift: struct<x: double, y: double, theta_rad: double, magnitude_x: double, magnitude_y: double>
child 0, x: double
child 1, y: double
child 2, theta_rad: double
child 3, magnitude_x: double
child 4, magnitude_y: double
child 1, objects_applied: list<item: string>
child 0, item: string
child 2, objects_missing: list<item: null>
child 0, item: null
per_task: struct<T0: struct<task_desc: string, pc_success: double, successes: list<item: bool>, n_episodes: in (... 896 chars omitted)
child 0, T0: struct<task_desc: string, pc_success: double, successes: list<item: bool>, n_episodes: int64>
child 0, task_desc: string
child 1, pc_success: double
child 2, successes: list<item: bool>
child 0, item: bool
child 3, n_episodes: int64
child 1, T1: struct<task_desc: string, pc_success: dou
...
ask_desc: string, pc_success: double, successes: list<item: bool>, n_episodes: int64>
child 0, task_desc: string
child 1, pc_success: double
child 2, successes: list<item: bool>
child 0, item: bool
child 3, n_episodes: int64
child 6, T6: struct<task_desc: string, pc_success: double, successes: list<item: bool>, n_episodes: int64>
child 0, task_desc: string
child 1, pc_success: double
child 2, successes: list<item: bool>
child 0, item: bool
child 3, n_episodes: int64
child 7, T7: struct<task_desc: string, pc_success: double, successes: list<item: bool>, n_episodes: int64>
child 0, task_desc: string
child 1, pc_success: double
child 2, successes: list<item: bool>
child 0, item: bool
child 3, n_episodes: int64
child 8, T8: struct<task_desc: string, pc_success: double, successes: list<item: bool>, n_episodes: int64>
child 0, task_desc: string
child 1, pc_success: double
child 2, successes: list<item: bool>
child 0, item: bool
child 3, n_episodes: int64
child 9, T9: struct<task_desc: string, pc_success: double, successes: list<item: bool>, n_episodes: int64>
child 0, task_desc: string
child 1, pc_success: double
child 2, successes: list<item: bool>
child 0, item: bool
child 3, n_episodes: int64
overall: struct<pc_success: double, n_episodes: int64>
child 0, pc_success: double
child 1, n_episodes: int64
to
{'overall': {'pc_success': Value('float64'), 'n_episodes': Value('int64')}, 'per_task': {'T0': {'task_desc': Value('string'), 'pc_success': Value('float64'), 'successes': List(Value('bool')), 'n_episodes': Value('int64')}, 'T1': {'task_desc': Value('string'), 'pc_success': Value('float64'), 'successes': List(Value('bool')), 'n_episodes': Value('int64')}, 'T2': {'task_desc': Value('string'), 'pc_success': Value('float64'), 'successes': List(Value('bool')), 'n_episodes': Value('int64')}, 'T3': {'task_desc': Value('string'), 'pc_success': Value('float64'), 'successes': List(Value('bool')), 'n_episodes': Value('int64')}, 'T4': {'task_desc': Value('string'), 'pc_success': Value('float64'), 'successes': List(Value('bool')), 'n_episodes': Value('int64')}, 'T5': {'task_desc': Value('string'), 'pc_success': Value('float64'), 'successes': List(Value('bool')), 'n_episodes': Value('int64')}, 'T6': {'task_desc': Value('string'), 'pc_success': Value('float64'), 'successes': List(Value('bool')), 'n_episodes': Value('int64')}, 'T7': {'task_desc': Value('string'), 'pc_success': Value('float64'), 'successes': List(Value('bool')), 'n_episodes': Value('int64')}, 'T8': {'task_desc': Value('string'), 'pc_success': Value('float64'), 'successes': List(Value('bool')), 'n_episodes': Value('int64')}, 'T9': {'task_desc': Value('string'), 'pc_success': Value('float64'), 'successes': List(Value('bool')), 'n_episodes': Value('int64')}}}
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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