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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
[ -0.1003847479784171, -2.2092298953272443e-16, -0.9949486933371537, 0, -0.9949486933371539, 2.228989170536646e-17, 0.1003847479784171, 0, 0, 1, -2.220446049250313e-16, 0, 4.310161355360575, 0.01644575595855688, -3.6318566108995913, 1 ]
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{ "type": "iPad8,10" }
{ "type": "Office" }
xyz
true
m
[ 0, 2 ]
wxyz
5
[ { "extrinsics": null, "frequency": 60, "number_of_frames": 19152, "id": "color_back_1", "file_extension": "mp4", "intrinsics": [ 1592.0133056640625, 0, 0, 0, 1592.0133056640625, 0, 943.4338989257812, 714.5989990234375, 1 ], "type": "color_camera", "resolution": [ 1440, 1920 ], "encoding": "h264" }, { "extrinsics": null, "frequency": 60, "number_of_frames": 19152, "id": "depth_back_1", "file_extension": "depth.zlib", "intrinsics": null, "type": "lidar_sensor", "resolution": [ 192, 256 ], "encoding": "float16_zlib" }, { "extrinsics": null, "frequency": 60, "number_of_frames": 19152, "id": "confidence_map", "file_extension": "confidence.zlib", "intrinsics": null, "type": "confidence_map", "resolution": null, "encoding": "uint8_zlib" }, { "extrinsics": null, "frequency": 60, "number_of_frames": 19152, "id": "camera_info_color_back_1", "file_extension": "jsonl", "intrinsics": null, "type": "camera_info", "resolution": null, "encoding": "jsonl" } ]
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End of preview.

MultiScan Example Dataset

Github Repo: https://github.com/smartscenes/multiscan

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