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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 2 new columns ({'light_power', 'light_type'})

This happened while the json dataset builder was generating data using

hf://datasets/desmondlzy/bigs-data/dragon/olat_1/transforms_train.json (at revision 5b82f88ef44341ccb12cac2e4675c8367174de69)

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 1870, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, 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 2292, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              fl_x: double
              fl_y: double
              cx: double
              cy: double
              w: int64
              h: int64
              light_type: string
              light: list<item: double>
                child 0, item: double
              light_power: int64
              frames: list<item: struct<file_path: string, transform_matrix: list<item: list<item: double>>, obj_mask_path: string, com_mask_path: string, light: struct<type: string, position: list<item: double>, intensity: int64>>>
                child 0, item: struct<file_path: string, transform_matrix: list<item: list<item: double>>, obj_mask_path: string, com_mask_path: string, light: struct<type: string, position: list<item: double>, intensity: int64>>
                    child 0, file_path: string
                    child 1, transform_matrix: list<item: list<item: double>>
                        child 0, item: list<item: double>
                            child 0, item: double
                    child 2, obj_mask_path: string
                    child 3, com_mask_path: string
                    child 4, light: struct<type: string, position: list<item: double>, intensity: int64>
                        child 0, type: string
                        child 1, position: list<item: double>
                            child 0, item: double
                        child 2, intensity: int64
              to
              {'fl_x': Value(dtype='float64', id=None), 'fl_y': Value(dtype='float64', id=None), 'cx': Value(dtype='float64', id=None), 'cy': Value(dtype='float64', id=None), 'w': Value(dtype='int64', id=None), 'h': Value(dtype='int64', id=None), 'light': Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None), 'frames': [{'file_path': Value(dtype='string', id=None), 'transform_matrix': Sequence(feature=Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None), length=-1, id=None), 'obj_mask_path': Value(dtype='string', id=None), 'com_mask_path': Value(dtype='string', id=None), 'light': {'type': Value(dtype='string', id=None), 'position': Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None), 'intensity': Value(dtype='float64', 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 1433, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 989, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1741, 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 1872, 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 2 new columns ({'light_power', 'light_type'})
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/desmondlzy/bigs-data/dragon/olat_1/transforms_train.json (at revision 5b82f88ef44341ccb12cac2e4675c8367174de69)
              
              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)

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fl_x
float64
fl_y
float64
cx
float64
cy
float64
w
int64
h
int64
light
sequence
frames
list
787.886986
787.886986
256
256
512
512
[ -3.6180000000000003, 2.2359999999999998, 2.6285 ]
[ { "file_path": "./img/1_0.exr", "transform_matrix": [ [ 0, -4.371139183945161e-8, -1, -5 ], [ 1, 0, 0, 0 ], [ 0, -1, 4.371139183945161e-8, 2.18556948539117e-7 ], [ ...
787.886986
787.886986
256
256
512
512
[ -2.1645, 2.584, 3.693 ]
[ { "file_path": "./img/10_0.exr", "transform_matrix": [ [ 0, -4.371139183945161e-8, -1, -5 ], [ 1, 0, 0, 0 ], [ 0, -1, 4.371139183945161e-8, 2.18556948539117e-7 ], [ ...
787.886986
787.886986
256
256
512
512
[ -0.4195, 2.584, 4.26 ]
[ { "file_path": "./img/11_0.exr", "transform_matrix": [ [ 0, -4.371139183945161e-8, -1, -5 ], [ 1, 0, 0, 0 ], [ 0, -1, 4.371139183945161e-8, 2.18556948539117e-7 ], [ ...
787.886986
787.886986
256
256
512
512
[ 2.8434999999999997, 2.584, 3.1995 ]
[ { "file_path": "./img/12_0.exr", "transform_matrix": [ [ 0, -4.371139183945161e-8, -1, -5 ], [ 1, 0, 0, 0 ], [ 0, -1, 4.371139183945161e-8, 2.18556948539117e-7 ], [ ...
787.886986
787.886986
256
256
512
512
[ 3.9219999999999997, 2.584, 1.7155 ]
[ { "file_path": "./img/13_0.exr", "transform_matrix": [ [ 0, -4.371139183945161e-8, -1, -5 ], [ 1, 0, 0, 0 ], [ 0, -1, 4.371139183945161e-8, 2.18556948539117e-7 ], [ ...
787.886986
787.886986
256
256
512
512
[ -3.2790000000000004, 0.7805, 3.693 ]
[ { "file_path": "./img/14_0.exr", "transform_matrix": [ [ 0, -4.371139183945161e-8, -1, -5 ], [ 1, 0, 0, 0 ], [ 0, -1, 4.371139183945161e-8, 2.18556948539117e-7 ], [ ...
787.886986
787.886986
256
256
512
512
[ -2.499, -0.7805, 4.26 ]
[ { "file_path": "./img/15_0.exr", "transform_matrix": [ [ 0, -4.371139183945161e-8, -1, -5 ], [ 1, 0, 0, 0 ], [ 0, -1, 4.371139183945161e-8, 2.18556948539117e-7 ], [ ...
787.886986
787.886986
256
256
512
512
[ 2.499, 0.7805, 4.26 ]
[ { "file_path": "./img/16_0.exr", "transform_matrix": [ [ 0, -4.371139183945161e-8, -1, -5 ], [ 1, 0, 0, 0 ], [ 0, -1, 4.371139183945161e-8, 2.18556948539117e-7 ], [ ...
787.886986
787.886986
256
256
512
512
[ 3.2790000000000004, -0.7805, 3.693 ]
[ { "file_path": "./img/17_0.exr", "transform_matrix": [ [ 0, -4.371139183945161e-8, -1, -5 ], [ 1, 0, 0, 0 ], [ 0, -1, 4.371139183945161e-8, 2.18556948539117e-7 ], [ ...
787.886986
787.886986
256
256
512
512
[ 4.8235, 0.7805, 1.06 ]
[{"file_path":"./img/18_0.exr","transform_matrix":[[0.0,-4.371139183945161e-8,-1.0,-5.0],[1.0,0.0,-0(...TRUNCATED)
End of preview.