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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 4 new columns ({'n_ocean_images', 'n_images', 'ocean_ratio:', 'ocean_threshold'}) and 7 missing columns ({'cy', 'h', 'fl_y', 'fl_x', 'w', 'cx', 'camera_angle_x'}).

This happened while the json dataset builder was generating data using

hf://datasets/HexuZhao/matrixcity_bigcity_aerial_102M_initial_point_cloud/all_blocks/transforms_train_ocean_info.json (at revision 8a85c30e8626cc5e35a278d31731e119ed687a53)

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 "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              n_images: int64
              n_ocean_images: int64
              ocean_threshold: double
              ocean_ratio:: double
              frames: list<item: struct<file_name: string, is_ocean: bool>>
                child 0, item: struct<file_name: string, is_ocean: bool>
                    child 0, file_name: string
                    child 1, is_ocean: bool
              to
              {'camera_angle_x': Value('float64'), 'fl_x': Value('float64'), 'fl_y': Value('float64'), 'cx': Value('int64'), 'cy': Value('int64'), 'w': Value('int64'), 'h': Value('int64'), 'frames': {'depth_path': Value('null'), 'file_name': Value('string'), 'transform_matrix': List(List(Value('float64')))}}
              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 1455, 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 1054, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1833, 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 4 new columns ({'n_ocean_images', 'n_images', 'ocean_ratio:', 'ocean_threshold'}) and 7 missing columns ({'cy', 'h', 'fl_y', 'fl_x', 'w', 'cx', 'camera_angle_x'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/HexuZhao/matrixcity_bigcity_aerial_102M_initial_point_cloud/all_blocks/transforms_train_ocean_info.json (at revision 8a85c30e8626cc5e35a278d31731e119ed687a53)
              
              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.

camera_angle_x
float64
fl_x
float64
fl_y
float64
cx
int64
cy
int64
w
int64
h
int64
frames
dict
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{ "depth_path": null, "file_name": "big_high_block_1/0000.png", "transform_matrix": [ [ -4.371138728753721e-8, 0.707106804475188, -0.7071067579090591, -23 ], [ -0.9999999776482581, -5.844237316310341e-8, 3.3748635830388456e-9, 4 ], [ -3.89386078936127e-8, 0.7071067579090591, 0.707106804475188, 2.5 ], [ 0, 0, 0, 1 ] ] }
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{ "depth_path": null, "file_name": "big_high_block_1/0001.png", "transform_matrix": [ [ -4.371138728753721e-8, 0.707106804475188, -0.7071067579090591, -23 ], [ -0.9999999776482581, -5.844237316310341e-8, 3.3748635830388456e-9, 4.3958331298828135 ], [ -3.89386078936127e-8, 0.7071067579090591, 0.707106804475188, 2.5 ], [ 0, 0, 0, 1 ] ] }
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{ "depth_path": null, "file_name": "big_high_block_1/0002.png", "transform_matrix": [ [ -4.371138728753721e-8, 0.707106804475188, -0.7071067579090591, -23 ], [ -0.9999999776482581, -5.844237316310341e-8, 3.3748635830388456e-9, 4.791666564941406 ], [ -3.89386078936127e-8, 0.7071067579090591, 0.707106804475188, 2.5 ], [ 0, 0, 0, 1 ] ] }
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{ "depth_path": null, "file_name": "big_high_block_1/0003.png", "transform_matrix": [ [ -4.371138728753721e-8, 0.707106804475188, -0.7071067579090591, -23 ], [ -0.9999999776482581, -5.844237316310341e-8, 3.3748635830388456e-9, 5.1875 ], [ -3.89386078936127e-8, 0.7071067579090591, 0.707106804475188, 2.5 ], [ 0, 0, 0, 1 ] ] }
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{ "depth_path": null, "file_name": "big_high_block_1/0004.png", "transform_matrix": [ [ -4.371138728753721e-8, 0.707106804475188, -0.7071067579090591, -23 ], [ -0.9999999776482581, -5.844237316310341e-8, 3.3748635830388456e-9, 5.5833331298828135 ], [ -3.89386078936127e-8, 0.7071067579090591, 0.707106804475188, 2.5 ], [ 0, 0, 0, 1 ] ] }
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{ "depth_path": null, "file_name": "big_high_block_1/0005.png", "transform_matrix": [ [ -4.371138728753721e-8, 0.707106804475188, -0.7071067579090591, -23 ], [ -0.9999999776482581, -5.844237316310341e-8, 3.3748635830388456e-9, 5.979166870117187 ], [ -3.89386078936127e-8, 0.7071067579090591, 0.707106804475188, 2.5 ], [ 0, 0, 0, 1 ] ] }
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{ "depth_path": null, "file_name": "big_high_block_1/0006.png", "transform_matrix": [ [ -4.371138728753721e-8, 0.707106804475188, -0.7071067579090591, -23 ], [ -0.9999999776482581, -5.844237316310341e-8, 3.3748635830388456e-9, 6.375 ], [ -3.89386078936127e-8, 0.7071067579090591, 0.707106804475188, 2.5 ], [ 0, 0, 0, 1 ] ] }
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{ "depth_path": null, "file_name": "big_high_block_1/0007.png", "transform_matrix": [ [ -4.371138728753721e-8, 0.707106804475188, -0.7071067579090591, -23 ], [ -0.9999999776482581, -5.844237316310341e-8, 3.3748635830388456e-9, 6.770833740234375 ], [ -3.89386078936127e-8, 0.7071067579090591, 0.707106804475188, 2.5 ], [ 0, 0, 0, 1 ] ] }
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{ "depth_path": null, "file_name": "big_high_block_1/0008.png", "transform_matrix": [ [ -4.371138728753721e-8, 0.707106804475188, -0.7071067579090591, -23 ], [ -0.9999999776482581, -5.844237316310341e-8, 3.3748635830388456e-9, 7.166666259765625 ], [ -3.89386078936127e-8, 0.7071067579090591, 0.707106804475188, 2.5 ], [ 0, 0, 0, 1 ] ] }
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{ "depth_path": null, "file_name": "big_high_block_1/0009.png", "transform_matrix": [ [ -4.371138728753721e-8, 0.707106804475188, -0.7071067579090591, -23 ], [ -0.9999999776482581, -5.844237316310341e-8, 3.3748635830388456e-9, 7.5625 ], [ -3.89386078936127e-8, 0.7071067579090591, 0.707106804475188, 2.5 ], [ 0, 0, 0, 1 ] ] }
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{ "depth_path": null, "file_name": "big_high_block_1/0010.png", "transform_matrix": [ [ -4.371138728753721e-8, 0.707106804475188, -0.7071067579090591, -23 ], [ -0.9999999776482581, -5.844237316310341e-8, 3.3748635830388456e-9, 7.9583331298828135 ], [ -3.89386078936127e-8, 0.7071067579090591, 0.707106804475188, 2.5 ], [ 0, 0, 0, 1 ] ] }
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{ "depth_path": null, "file_name": "big_high_block_1/0011.png", "transform_matrix": [ [ -4.371138728753721e-8, 0.707106804475188, -0.7071067579090591, -23 ], [ -0.9999999776482581, -5.844237316310341e-8, 3.3748635830388456e-9, 8.354166259765625 ], [ -3.89386078936127e-8, 0.7071067579090591, 0.707106804475188, 2.5 ], [ 0, 0, 0, 1 ] ] }
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{ "depth_path": null, "file_name": "big_high_block_1/0012.png", "transform_matrix": [ [ -4.371138728753721e-8, 0.707106804475188, -0.7071067579090591, -23 ], [ -0.9999999776482581, -5.844237316310341e-8, 3.3748635830388456e-9, 8.75 ], [ -3.89386078936127e-8, 0.7071067579090591, 0.707106804475188, 2.5 ], [ 0, 0, 0, 1 ] ] }
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{ "depth_path": null, "file_name": "big_high_block_1/0013.png", "transform_matrix": [ [ -4.371138728753721e-8, 0.707106804475188, -0.7071067579090591, -23 ], [ -0.9999999776482581, -5.844237316310341e-8, 3.3748635830388456e-9, 9.145833129882812 ], [ -3.89386078936127e-8, 0.7071067579090591, 0.707106804475188, 2.5 ], [ 0, 0, 0, 1 ] ] }
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{ "depth_path": null, "file_name": "big_high_block_1/0018.png", "transform_matrix": [ [ -4.371138728753721e-8, 0.707106804475188, -0.7071067579090591, -23 ], [ -0.9999999776482581, -5.844237316310341e-8, 3.3748635830388456e-9, 11.125 ], [ -3.89386078936127e-8, 0.7071067579090591, 0.707106804475188, 2.5 ], [ 0, 0, 0, 1 ] ] }
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{ "depth_path": null, "file_name": "big_high_block_1/0019.png", "transform_matrix": [ [ -4.371138728753721e-8, 0.707106804475188, -0.7071067579090591, -23 ], [ -0.9999999776482581, -5.844237316310341e-8, 3.3748635830388456e-9, 11.520833740234375 ], [ -3.89386078936127e-8, 0.7071067579090591, 0.707106804475188, 2.5 ], [ 0, 0, 0, 1 ] ] }
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{ "depth_path": null, "file_name": "big_high_block_1/0020.png", "transform_matrix": [ [ -4.371138728753721e-8, 0.707106804475188, -0.7071067579090591, -23 ], [ -0.9999999776482581, -5.844237316310341e-8, 3.3748635830388456e-9, 11.91666748046875 ], [ -3.89386078936127e-8, 0.7071067579090591, 0.707106804475188, 2.5 ], [ 0, 0, 0, 1 ] ] }
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{ "depth_path": null, "file_name": "big_high_block_1/0021.png", "transform_matrix": [ [ -4.371138728753721e-8, 0.707106804475188, -0.7071067579090591, -23 ], [ -0.9999999776482581, -5.844237316310341e-8, 3.3748635830388456e-9, 12.3125 ], [ -3.89386078936127e-8, 0.7071067579090591, 0.707106804475188, 2.5 ], [ 0, 0, 0, 1 ] ] }
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{ "depth_path": null, "file_name": "big_high_block_1/0022.png", "transform_matrix": [ [ -4.371138728753721e-8, 0.707106804475188, -0.7071067579090591, -23 ], [ -0.9999999776482581, -5.844237316310341e-8, 3.3748635830388456e-9, 12.708333740234375 ], [ -3.89386078936127e-8, 0.7071067579090591, 0.707106804475188, 2.5 ], [ 0, 0, 0, 1 ] ] }
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{ "depth_path": null, "file_name": "big_high_block_1/0023.png", "transform_matrix": [ [ -4.371138728753721e-8, 0.707106804475188, -0.7071067579090591, -23 ], [ -0.9999999776482581, -5.844237316310341e-8, 3.3748635830388456e-9, 13.10416748046875 ], [ -3.89386078936127e-8, 0.7071067579090591, 0.707106804475188, 2.5 ], [ 0, 0, 0, 1 ] ] }
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{ "depth_path": null, "file_name": "big_high_block_1/0024.png", "transform_matrix": [ [ -4.371138728753721e-8, 0.707106804475188, -0.7071067579090591, -23 ], [ -0.9999999776482581, -5.844237316310341e-8, 3.3748635830388456e-9, 13.5 ], [ -3.89386078936127e-8, 0.7071067579090591, 0.707106804475188, 2.5 ], [ 0, 0, 0, 1 ] ] }
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{ "depth_path": null, "file_name": "big_high_block_1/0025.png", "transform_matrix": [ [ -4.371138728753721e-8, 0.707106804475188, -0.7071067579090591, -23 ], [ -0.9999999776482581, -5.844237316310341e-8, 3.3748635830388456e-9, 13.895833740234375 ], [ -3.89386078936127e-8, 0.7071067579090591, 0.707106804475188, 2.5 ], [ 0, 0, 0, 1 ] ] }
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{ "depth_path": null, "file_name": "big_high_block_1/0026.png", "transform_matrix": [ [ -4.371138728753721e-8, 0.707106804475188, -0.7071067579090591, -23 ], [ -0.9999999776482581, -5.844237316310341e-8, 3.3748635830388456e-9, 14.291666259765625 ], [ -3.89386078936127e-8, 0.7071067579090591, 0.707106804475188, 2.5 ], [ 0, 0, 0, 1 ] ] }
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{ "depth_path": null, "file_name": "big_high_block_1/0027.png", "transform_matrix": [ [ -4.371138728753721e-8, 0.707106804475188, -0.7071067579090591, -23 ], [ -0.9999999776482581, -5.844237316310341e-8, 3.3748635830388456e-9, 14.6875 ], [ -3.89386078936127e-8, 0.7071067579090591, 0.707106804475188, 2.5 ], [ 0, 0, 0, 1 ] ] }
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{ "depth_path": null, "file_name": "big_high_block_1/0028.png", "transform_matrix": [ [ -4.371138728753721e-8, 0.707106804475188, -0.7071067579090591, -23 ], [ -0.9999999776482581, -5.844237316310341e-8, 3.3748635830388456e-9, 15.083333740234375 ], [ -3.89386078936127e-8, 0.7071067579090591, 0.707106804475188, 2.5 ], [ 0, 0, 0, 1 ] ] }
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{ "depth_path": null, "file_name": "big_high_block_1/0029.png", "transform_matrix": [ [ -4.371138728753721e-8, 0.707106804475188, -0.7071067579090591, -23 ], [ -0.9999999776482581, -5.844237316310341e-8, 3.3748635830388456e-9, 15.479166259765625 ], [ -3.89386078936127e-8, 0.7071067579090591, 0.707106804475188, 2.5 ], [ 0, 0, 0, 1 ] ] }
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{ "depth_path": null, "file_name": "big_high_block_1/0030.png", "transform_matrix": [ [ -4.371138728753721e-8, 0.707106804475188, -0.7071067579090591, -23 ], [ -0.9999999776482581, -5.844237316310341e-8, 3.3748635830388456e-9, 15.875 ], [ -3.89386078936127e-8, 0.7071067579090591, 0.707106804475188, 2.5 ], [ 0, 0, 0, 1 ] ] }
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{ "depth_path": null, "file_name": "big_high_block_1/0031.png", "transform_matrix": [ [ -4.371138728753721e-8, 0.707106804475188, -0.7071067579090591, -23 ], [ -0.9999999776482581, -5.844237316310341e-8, 3.3748635830388456e-9, 16.270833740234377 ], [ -3.89386078936127e-8, 0.7071067579090591, 0.707106804475188, 2.5 ], [ 0, 0, 0, 1 ] ] }
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End of preview.

This repository hosts a 102M-point initial point cloud and poses files, which will be used to train the MatrixCity BigCity aerial-view model.

If you use this resource, please cite their original paper:

@inproceedings{li2023matrixcity,
  title={MatrixCity: A Large-scale City Dataset for City-scale Neural Rendering and Beyond},
  author={Li, Yixuan and Jiang, Lihan and Xu, Linning and Xiangli, Yuanbo and Wang, Zhenzhi and Lin, Dahua and Dai, Bo},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages={3205--3215},
  year={2023}
}
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