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
schema_version: string
source: string
pixel_format: string
depth_format: string
created_at: timestamp[s]
created_by: string
pipeline_sha: string
qa_status: string
scene_id: string
episode_id: string
fps: int64
video: bool
encoding: struct<vcodec: string>
child 0, vcodec: string
dataset: string
codebase_version: string
frame_size: list<item: int64>
child 0, item: int64
resize_size: list<item: int64>
child 0, item: int64
camera_intrinsics: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
camera_extrinsics: struct<translation: struct<x: double, y: double, z: double>, rotation: struct<w: double, x: double, (... 22 chars omitted)
child 0, translation: struct<x: double, y: double, z: double>
child 0, x: double
child 1, y: double
child 2, z: double
child 1, rotation: struct<w: double, x: double, y: double, z: double>
child 0, w: double
child 1, x: double
child 2, y: double
child 3, z: double
preview_size: list<item: int64>
child 0, item: int64
instruction_tokens: list<item: int64>
child 0, item: int64
instruction_text: struct<fine: string, aug_goal: struct<formal: string, natural: string, casual: string>>
child 0, fine: string
child 1, aug_goal: struct<formal: string, natural: string, casual: string>
child 0, formal: string
child 1, natural: string
child 2, casual: string
finish_status: string
fail_reason: null
to
{'episode_id': Value('string'), 'instruction_text': {'fine': Value('string'), 'aug_goal': {'formal': Value('string'), 'natural': Value('string'), 'casual': Value('string')}}, 'instruction_tokens': List(Value('int64')), 'finish_status': Value('string'), 'fail_reason': Value('null')}
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 299, 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
schema_version: string
source: string
pixel_format: string
depth_format: string
created_at: timestamp[s]
created_by: string
pipeline_sha: string
qa_status: string
scene_id: string
episode_id: string
fps: int64
video: bool
encoding: struct<vcodec: string>
child 0, vcodec: string
dataset: string
codebase_version: string
frame_size: list<item: int64>
child 0, item: int64
resize_size: list<item: int64>
child 0, item: int64
camera_intrinsics: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
camera_extrinsics: struct<translation: struct<x: double, y: double, z: double>, rotation: struct<w: double, x: double, (... 22 chars omitted)
child 0, translation: struct<x: double, y: double, z: double>
child 0, x: double
child 1, y: double
child 2, z: double
child 1, rotation: struct<w: double, x: double, y: double, z: double>
child 0, w: double
child 1, x: double
child 2, y: double
child 3, z: double
preview_size: list<item: int64>
child 0, item: int64
instruction_tokens: list<item: int64>
child 0, item: int64
instruction_text: struct<fine: string, aug_goal: struct<formal: string, natural: string, casual: string>>
child 0, fine: string
child 1, aug_goal: struct<formal: string, natural: string, casual: string>
child 0, formal: string
child 1, natural: string
child 2, casual: string
finish_status: string
fail_reason: null
to
{'episode_id': Value('string'), 'instruction_text': {'fine': Value('string'), 'aug_goal': {'formal': Value('string'), 'natural': Value('string'), 'casual': Value('string')}}, 'instruction_tokens': List(Value('int64')), 'finish_status': Value('string'), 'fail_reason': Value('null')}
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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