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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
version: int64
k_slots: int64
dim_per_object: int64
include_mask: bool
tasks: struct<KITCHEN_SCENE10_close_the_top_drawer_of_the_cabinet_and_put_the_black_bowl_on_top_of_it: stru (... 20436 chars omitted)
child 0, KITCHEN_SCENE10_close_the_top_drawer_of_the_cabinet_and_put_the_black_bowl_on_top_of_it: struct<nq: int64, qpos_offset: int64, objects: list<item: struct<name: string, joint_type: string, q (... 36 chars omitted)
child 0, nq: int64
child 1, qpos_offset: int64
child 2, objects: list<item: struct<name: string, joint_type: string, qpos_start: int64, qpos_len: int64>>
child 0, item: struct<name: string, joint_type: string, qpos_start: int64, qpos_len: int64>
child 0, name: string
child 1, joint_type: string
child 2, qpos_start: int64
child 3, qpos_len: int64
child 1, KITCHEN_SCENE10_close_the_top_drawer_of_the_cabinet: struct<nq: int64, qpos_offset: int64, objects: list<item: struct<name: string, joint_type: string, q (... 36 chars omitted)
child 0, nq: int64
child 1, qpos_offset: int64
child 2, objects: list<item: struct<name: string, joint_type: string, qpos_start: int64, qpos_len: int64>>
child 0, item: struct<name: string, joint_type: string, qpos_start: int64, qpos_len: int64>
child 0, name: string
child 1, joint_type: string
child 2, qpos_start: int64
child 3, qpos_len: int64
child 2, KITCHEN_
...
the_cabinet_shelf: double
child 87, STUDY_SCENE4_pick_up_the_book_on_the_left_and_place_it_on_top_of_the_shelf: double
child 88, STUDY_SCENE4_pick_up_the_book_on_the_right_and_place_it_on_the_cabinet_shelf: double
child 89, STUDY_SCENE4_pick_up_the_book_on_the_right_and_place_it_under_the_cabinet_shelf: double
child 90, KITCHEN_SCENE3_turn_on_the_stove_and_put_the_moka_pot_on_it: double
child 91, KITCHEN_SCENE4_put_the_black_bowl_in_the_bottom_drawer_of_the_cabinet_and_close_it: double
child 92, KITCHEN_SCENE6_put_the_yellow_and_white_mug_in_the_microwave_and_close_it: double
child 93, KITCHEN_SCENE8_put_both_moka_pots_on_the_stove: double
child 94, LIVING_ROOM_SCENE1_put_both_the_alphabet_soup_and_the_cream_cheese_box_in_the_basket: double
child 95, LIVING_ROOM_SCENE2_put_both_the_alphabet_soup_and_the_tomato_sauce_in_the_basket: double
child 96, LIVING_ROOM_SCENE2_put_both_the_cream_cheese_box_and_the_butter_in_the_basket: double
child 97, LIVING_ROOM_SCENE5_put_the_white_mug_on_the_left_plate_and_put_the_yellow_and_white_mug_on_the_right (... 6 chars omitted): double
child 98, LIVING_ROOM_SCENE6_put_the_white_mug_on_the_plate_and_put_the_chocolate_pudding_to_the_right_of_the_ (... 5 chars omitted): double
child 99, STUDY_SCENE1_pick_up_the_book_and_place_it_in_the_back_compartment_of_the_caddy: double
downloaded_at_utc: string
repo_id: string
integrity_check: string
schema_version: int64
commit_sha: string
source: string
revision_requested: string
to
{'source': Value('string'), 'repo_id': Value('string'), 'revision_requested': Value('string'), 'commit_sha': Value('string'), 'downloaded_at_utc': Value('string'), 'suites': {'libero_90': {'expected_files': Value('int64'), 'actual_files': Value('int64'), 'total_bytes': Value('int64'), 'files': List({'name': Value('string'), 'size_bytes': Value('int64')})}, 'libero_10': {'expected_files': Value('int64'), 'actual_files': Value('int64'), 'total_bytes': Value('int64'), 'files': List({'name': Value('string'), 'size_bytes': Value('int64')})}}, 'integrity_check': Value('string'), 'schema_version': Value('int64')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 489, 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 2818, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
version: int64
k_slots: int64
dim_per_object: int64
include_mask: bool
tasks: struct<KITCHEN_SCENE10_close_the_top_drawer_of_the_cabinet_and_put_the_black_bowl_on_top_of_it: stru (... 20436 chars omitted)
child 0, KITCHEN_SCENE10_close_the_top_drawer_of_the_cabinet_and_put_the_black_bowl_on_top_of_it: struct<nq: int64, qpos_offset: int64, objects: list<item: struct<name: string, joint_type: string, q (... 36 chars omitted)
child 0, nq: int64
child 1, qpos_offset: int64
child 2, objects: list<item: struct<name: string, joint_type: string, qpos_start: int64, qpos_len: int64>>
child 0, item: struct<name: string, joint_type: string, qpos_start: int64, qpos_len: int64>
child 0, name: string
child 1, joint_type: string
child 2, qpos_start: int64
child 3, qpos_len: int64
child 1, KITCHEN_SCENE10_close_the_top_drawer_of_the_cabinet: struct<nq: int64, qpos_offset: int64, objects: list<item: struct<name: string, joint_type: string, q (... 36 chars omitted)
child 0, nq: int64
child 1, qpos_offset: int64
child 2, objects: list<item: struct<name: string, joint_type: string, qpos_start: int64, qpos_len: int64>>
child 0, item: struct<name: string, joint_type: string, qpos_start: int64, qpos_len: int64>
child 0, name: string
child 1, joint_type: string
child 2, qpos_start: int64
child 3, qpos_len: int64
child 2, KITCHEN_
...
the_cabinet_shelf: double
child 87, STUDY_SCENE4_pick_up_the_book_on_the_left_and_place_it_on_top_of_the_shelf: double
child 88, STUDY_SCENE4_pick_up_the_book_on_the_right_and_place_it_on_the_cabinet_shelf: double
child 89, STUDY_SCENE4_pick_up_the_book_on_the_right_and_place_it_under_the_cabinet_shelf: double
child 90, KITCHEN_SCENE3_turn_on_the_stove_and_put_the_moka_pot_on_it: double
child 91, KITCHEN_SCENE4_put_the_black_bowl_in_the_bottom_drawer_of_the_cabinet_and_close_it: double
child 92, KITCHEN_SCENE6_put_the_yellow_and_white_mug_in_the_microwave_and_close_it: double
child 93, KITCHEN_SCENE8_put_both_moka_pots_on_the_stove: double
child 94, LIVING_ROOM_SCENE1_put_both_the_alphabet_soup_and_the_cream_cheese_box_in_the_basket: double
child 95, LIVING_ROOM_SCENE2_put_both_the_alphabet_soup_and_the_tomato_sauce_in_the_basket: double
child 96, LIVING_ROOM_SCENE2_put_both_the_cream_cheese_box_and_the_butter_in_the_basket: double
child 97, LIVING_ROOM_SCENE5_put_the_white_mug_on_the_left_plate_and_put_the_yellow_and_white_mug_on_the_right (... 6 chars omitted): double
child 98, LIVING_ROOM_SCENE6_put_the_white_mug_on_the_plate_and_put_the_chocolate_pudding_to_the_right_of_the_ (... 5 chars omitted): double
child 99, STUDY_SCENE1_pick_up_the_book_and_place_it_in_the_back_compartment_of_the_caddy: double
downloaded_at_utc: string
repo_id: string
integrity_check: string
schema_version: int64
commit_sha: string
source: string
revision_requested: string
to
{'source': Value('string'), 'repo_id': Value('string'), 'revision_requested': Value('string'), 'commit_sha': Value('string'), 'downloaded_at_utc': Value('string'), 'suites': {'libero_90': {'expected_files': Value('int64'), 'actual_files': Value('int64'), 'total_bytes': Value('int64'), 'files': List({'name': Value('string'), 'size_bytes': Value('int64')})}, 'libero_10': {'expected_files': Value('int64'), 'actual_files': Value('int64'), 'total_bytes': Value('int64'), 'files': List({'name': Value('string'), 'size_bytes': Value('int64')})}}, 'integrity_check': Value('string'), 'schema_version': 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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