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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 1 new columns ({'meshUri'}) and 4 missing columns ({'kernel2DSize', 'splatRenderMode', 'antialiased', 'sceneUri'}).

This happened while the json dataset builder was generating data using

hf://datasets/nerfbaselines/nerfbaselines-supplementary/2d-gaussian-splatting/tanksandtemples/train_mesh/params.json (at revision 1db0808843181ac43ee103ea5ea8c85e32f96a4a)

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
              type: string
              backgroundColor: null
              initialCameraPosition: list<item: double>
                child 0, item: double
              initialCameraLookAt: list<item: double>
                child 0, item: double
              cameraUp: list<item: double>
                child 0, item: double
              scale: double
              rotation: list<item: double>
                child 0, item: double
              offset: list<item: double>
                child 0, item: double
              meshUri: string
              to
              {'type': Value(dtype='string', id=None), 'backgroundColor': Value(dtype='null', id=None), 'initialCameraPosition': Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None), 'initialCameraLookAt': Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None), 'cameraUp': Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None), 'scale': Value(dtype='float64', id=None), 'rotation': Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None), 'antialiased': Value(dtype='bool', id=None), 'kernel2DSize': Value(dtype='float64', id=None), 'splatRenderMode': Value(dtype='string', id=None), 'offset': Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None), 'sceneUri': Value(dtype='string', 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 1412, 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 988, 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 1 new columns ({'meshUri'}) and 4 missing columns ({'kernel2DSize', 'splatRenderMode', 'antialiased', 'sceneUri'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/nerfbaselines/nerfbaselines-supplementary/2d-gaussian-splatting/tanksandtemples/train_mesh/params.json (at revision 1db0808843181ac43ee103ea5ea8c85e32f96a4a)
              
              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.

type
string
backgroundColor
null
initialCameraPosition
sequence
initialCameraLookAt
sequence
cameraUp
sequence
scale
float64
rotation
sequence
antialiased
bool
kernel2DSize
float64
splatRenderMode
string
offset
sequence
sceneUri
string
meshUri
string
gaussian-splatting
null
[ -0.5929379761922094, -0.3425585542625432, -0.032028089849834476 ]
[ 0, 0, 0 ]
[ 0, 0, 1 ]
0.147778
[ -0.6517494636720349, 0.1906540338124767, -0.17256333340664048, 0.7135093355786135 ]
false
0.3
TwoD
[ 0.06746397065163419, -0.07951856924700285, -0.025381495207452847 ]
scene.ksplat
null
mesh
null
[ -0.5929379761922094, -0.3425585542625432, -0.032028089849834476 ]
[ 0, 0, 0 ]
[ 0, 0, 1 ]
0.147778
[ -0.6517494636720349, 0.1906540338124767, -0.17256333340664048, 0.7135093355786136 ]
null
null
null
[ 0.06746397065163419, -0.07951856924700285, -0.025381495207452847 ]
null
mesh.ply
mesh
null
[ -0.5929379761922094, -0.3425585542625432, -0.032028089849834476 ]
[ 0, 0, 0 ]
[ 0, 0, 1 ]
0.147778
[ -0.6517494636720349, 0.1906540338124767, -0.17256333340664048, 0.7135093355786136 ]
null
null
null
[ 0.06746397065163419, -0.07951856924700285, -0.025381495207452847 ]
null
mesh.ply
gaussian-splatting
null
[ -0.5929379761922094, -0.3425585542625432, -0.032028089849834476 ]
[ 0, 0, 0 ]
[ 0, 0, 1 ]
0.147778
[ -0.6517494636720349, 0.1906540338124767, -0.17256333340664048, 0.7135093355786135 ]
true
0
ThreeD
[ 0.06746397065163419, -0.07951856924700285, -0.025381495207452847 ]
scene.ksplat
null
mesh
null
[ -0.5929379761922094, -0.3425585542625432, -0.032028089849834476 ]
[ 0, 0, 0 ]
[ 0, 0, 1 ]
0.147778
[ -0.6517494636720349, 0.1906540338124767, -0.17256333340664048, 0.7135093355786136 ]
null
null
null
[ 0.06746397065163419, -0.07951856924700285, -0.025381495207452847 ]
null
mesh.ply
gaussian-splatting
null
[ -0.5929379761922094, -0.3425585542625432, -0.032028089849834476 ]
[ 0, 0, 0 ]
[ 0, 0, 1 ]
0.147778
[ -0.6517494636720349, 0.1906540338124767, -0.17256333340664048, 0.7135093355786135 ]
null
null
null
[ 0.06746397065163419, -0.07951856924700285, -0.025381495207452847 ]
scene.ksplat
null
gaussian-splatting
null
[ -0.5929379761922094, -0.3425585542625432, -0.032028089849834476 ]
[ 0, 0, 0 ]
[ 0, 0, 1 ]
0.147778
[ -0.6517494636720349, 0.1906540338124767, -0.17256333340664048, 0.7135093355786135 ]
true
0.1
ThreeD
[ 0.06746397065163419, -0.07951856924700285, -0.025381495207452847 ]
scene.ksplat
null
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