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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError Exception: DatasetGenerationCastError Message: An error occurred while generating the dataset All the data files must have the same columns, but at some point there are 9 new columns ({'number_of_files', 'streams', 'camera_orientation_quaternion_format', 'device', 'depth_confidence_avaliable', 'depth_unit', 'camera_orientation_euler_angles_format', 'depth_confidence_value_range', 'scene'}) and 2 missing columns ({'version', 'coordinate_transform'}). This happened while the json dataset builder was generating data using hf://datasets/ysmao/multiscan_example/scene_00021_00.json (at revision 401ff8c8d8e53dc67d0e706a43591ed0d539f7ae) Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations) Traceback: Traceback (most recent call last): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2013, in _prepare_split_single writer.write_table(table) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, in write_table pa_table = table_cast(pa_table, self._schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast return cast_table_to_schema(table, schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema raise CastError( datasets.table.CastError: Couldn't cast device: struct<type: string> child 0, type: string scene: struct<type: string> child 0, type: string camera_orientation_euler_angles_format: string depth_confidence_avaliable: bool depth_unit: string depth_confidence_value_range: list<item: int64> child 0, item: int64 camera_orientation_quaternion_format: string number_of_files: int64 streams: list<item: struct<extrinsics: null, frequency: int64, number_of_frames: int64, id: string, file_extension: string, intrinsics: list<item: double>, type: string, resolution: list<item: int64>, encoding: string>> child 0, item: struct<extrinsics: null, frequency: int64, number_of_frames: int64, id: string, file_extension: string, intrinsics: list<item: double>, type: string, resolution: list<item: int64>, encoding: string> child 0, extrinsics: null child 1, frequency: int64 child 2, number_of_frames: int64 child 3, id: string child 4, file_extension: string child 5, intrinsics: list<item: double> child 0, item: double child 6, type: string child 7, resolution: list<item: int64> child 0, item: int64 child 8, encoding: string to {'version': Value(dtype='string', id=None), 'coordinate_transform': Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None)} because column names don't match During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1396, in compute_config_parquet_and_info_response parquet_operations = convert_to_parquet(builder) File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1045, in convert_to_parquet builder.download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1029, in download_and_prepare self._download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1124, in _download_and_prepare self._prepare_split(split_generator, **prepare_split_kwargs) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1884, in _prepare_split for job_id, done, content in self._prepare_split_single( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2015, in _prepare_split_single raise DatasetGenerationCastError.from_cast_error( datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset All the data files must have the same columns, but at some point there are 9 new columns ({'number_of_files', 'streams', 'camera_orientation_quaternion_format', 'device', 'depth_confidence_avaliable', 'depth_unit', 'camera_orientation_euler_angles_format', 'depth_confidence_value_range', 'scene'}) and 2 missing columns ({'version', 'coordinate_transform'}). This happened while the json dataset builder was generating data using hf://datasets/ysmao/multiscan_example/scene_00021_00.json (at revision 401ff8c8d8e53dc67d0e706a43591ed0d539f7ae) Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
version
string | coordinate_transform
sequence | device
dict | scene
dict | camera_orientation_euler_angles_format
string | depth_confidence_avaliable
bool | depth_unit
string | depth_confidence_value_range
sequence | camera_orientation_quaternion_format
string | number_of_files
int64 | streams
list | quaternion
sequence | timestamp
int64 | intrinsics
sequence | transform
sequence | euler_angles
sequence | exposure_duration
int64 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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|
null | null | {
"type": "iPad8,10"
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End of preview.
MultiScan Example Dataset
Github Repo: https://github.com/smartscenes/multiscan
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