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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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
multiscan@0.0.1 | [
-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
] | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | {
"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,
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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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