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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_name: string
height: int64
width: int64
image_id: int64
pan_seg_file_name: string
segments_info: list<item: struct<id: int64, category_id: int64, iscrowd: int64, isthing: int64, area: int64, score: (... 9 chars omitted)
child 0, item: struct<id: int64, category_id: int64, iscrowd: int64, isthing: int64, area: int64, score: double>
child 0, id: int64
child 1, category_id: int64
child 2, iscrowd: int64
child 3, isthing: int64
child 4, area: int64
child 5, score: double
annotations: list<item: struct<bbox: list<item: int64>, bbox_mode: int64, category_id: int64, score: double>>
child 0, item: struct<bbox: list<item: int64>, bbox_mode: int64, category_id: int64, score: double>
child 0, bbox: list<item: int64>
child 0, item: int64
child 1, bbox_mode: int64
child 2, category_id: int64
child 3, score: double
thing_classes: list<item: string>
child 0, item: string
stuff_classes: list<item: string>
child 0, item: string
predicate_classes: list<item: string>
child 0, item: string
data: list<item: struct<file_name: string, height: int64, width: int64, image_id: int64, pan_seg_file_name (... 247 chars omitted)
child 0, item: struct<file_name: string, height: int64, width: int64, image_id: int64, pan_seg_file_name: string, s (... 235 chars omitted)
child 0, file_name: string
child 1, height: int64
child 2, width: int64
child 3, image_id: int64
child 4, pan_seg_file_name: string
child 5, segments_info: list<item: struct<id: int64, category_id: int64, iscrowd: int64, isthing: int64, area: int64, score: (... 9 chars omitted)
child 0, item: struct<id: int64, category_id: int64, iscrowd: int64, isthing: int64, area: int64, score: double>
child 0, id: int64
child 1, category_id: int64
child 2, iscrowd: int64
child 3, isthing: int64
child 4, area: int64
child 5, score: double
child 6, annotations: list<item: struct<bbox: list<item: int64>, bbox_mode: int64, category_id: int64, score: double>>
child 0, item: struct<bbox: list<item: int64>, bbox_mode: int64, category_id: int64, score: double>
child 0, bbox: list<item: int64>
child 0, item: int64
child 1, bbox_mode: int64
child 2, category_id: int64
child 3, score: double
skipped: list<item: string>
child 0, item: string
to
{'data': List({'file_name': Value('string'), 'height': Value('int64'), 'width': Value('int64'), 'image_id': Value('int64'), 'pan_seg_file_name': Value('string'), 'segments_info': List({'id': Value('int64'), 'category_id': Value('int64'), 'iscrowd': Value('int64'), 'isthing': Value('int64'), 'area': Value('int64'), 'score': Value('float64')}), 'annotations': List({'bbox': List(Value('int64')), 'bbox_mode': Value('int64'), 'category_id': Value('int64'), 'score': Value('float64')})}), 'skipped': List(Value('string')), 'thing_classes': List(Value('string')), 'stuff_classes': List(Value('string')), 'predicate_classes': List(Value('string'))}
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 2281, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2227, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
file_name: string
height: int64
width: int64
image_id: int64
pan_seg_file_name: string
segments_info: list<item: struct<id: int64, category_id: int64, iscrowd: int64, isthing: int64, area: int64, score: (... 9 chars omitted)
child 0, item: struct<id: int64, category_id: int64, iscrowd: int64, isthing: int64, area: int64, score: double>
child 0, id: int64
child 1, category_id: int64
child 2, iscrowd: int64
child 3, isthing: int64
child 4, area: int64
child 5, score: double
annotations: list<item: struct<bbox: list<item: int64>, bbox_mode: int64, category_id: int64, score: double>>
child 0, item: struct<bbox: list<item: int64>, bbox_mode: int64, category_id: int64, score: double>
child 0, bbox: list<item: int64>
child 0, item: int64
child 1, bbox_mode: int64
child 2, category_id: int64
child 3, score: double
thing_classes: list<item: string>
child 0, item: string
stuff_classes: list<item: string>
child 0, item: string
predicate_classes: list<item: string>
child 0, item: string
data: list<item: struct<file_name: string, height: int64, width: int64, image_id: int64, pan_seg_file_name (... 247 chars omitted)
child 0, item: struct<file_name: string, height: int64, width: int64, image_id: int64, pan_seg_file_name: string, s (... 235 chars omitted)
child 0, file_name: string
child 1, height: int64
child 2, width: int64
child 3, image_id: int64
child 4, pan_seg_file_name: string
child 5, segments_info: list<item: struct<id: int64, category_id: int64, iscrowd: int64, isthing: int64, area: int64, score: (... 9 chars omitted)
child 0, item: struct<id: int64, category_id: int64, iscrowd: int64, isthing: int64, area: int64, score: double>
child 0, id: int64
child 1, category_id: int64
child 2, iscrowd: int64
child 3, isthing: int64
child 4, area: int64
child 5, score: double
child 6, annotations: list<item: struct<bbox: list<item: int64>, bbox_mode: int64, category_id: int64, score: double>>
child 0, item: struct<bbox: list<item: int64>, bbox_mode: int64, category_id: int64, score: double>
child 0, bbox: list<item: int64>
child 0, item: int64
child 1, bbox_mode: int64
child 2, category_id: int64
child 3, score: double
skipped: list<item: string>
child 0, item: string
to
{'data': List({'file_name': Value('string'), 'height': Value('int64'), 'width': Value('int64'), 'image_id': Value('int64'), 'pan_seg_file_name': Value('string'), 'segments_info': List({'id': Value('int64'), 'category_id': Value('int64'), 'iscrowd': Value('int64'), 'isthing': Value('int64'), 'area': Value('int64'), 'score': Value('float64')}), 'annotations': List({'bbox': List(Value('int64')), 'bbox_mode': Value('int64'), 'category_id': Value('int64'), 'score': Value('float64')})}), 'skipped': List(Value('string')), 'thing_classes': List(Value('string')), 'stuff_classes': List(Value('string')), 'predicate_classes': List(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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