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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
method: string
scene: string
prior_type: string
photometric: struct<PSNR: double, LPIPS: double, SSIM: double, n: int64>
geometric: struct<gamma_median: double, gamma_90th_percentile: double, scale_mean: double, alpha_mean: double, filter_3d_mean: double, sh_energy_ratio: double, pathology_flags: list<item: null>, mean_depth_variance: double>
pathology_flags: list<item: null>
vs
gamma_median: double
gamma_90th_percentile: double
scale_mean: double
alpha_mean: double
filter_3d_mean: double
sh_energy_ratio: double
billboard_bias_ratio: double
spatial_gini: double
density_entropy: double
Field_Total_Volume: double
experiment: string
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 764, in write_table
                  self.write_rows_on_file()  # in case there are buffered rows to write first
                  ~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 662, in write_rows_on_file
                  table = pa.concat_tables(self.current_rows)
                File "pyarrow/table.pxi", line 6320, in pyarrow.lib.concat_tables
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                  return check_status(status)
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
                  raise convert_status(status)
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              method: string
              scene: string
              prior_type: string
              photometric: struct<PSNR: double, LPIPS: double, SSIM: double, n: int64>
              geometric: struct<gamma_median: double, gamma_90th_percentile: double, scale_mean: double, alpha_mean: double, filter_3d_mean: double, sh_energy_ratio: double, pathology_flags: list<item: null>, mean_depth_variance: double>
              pathology_flags: list<item: null>
              vs
              gamma_median: double
              gamma_90th_percentile: double
              scale_mean: double
              alpha_mean: double
              filter_3d_mean: double
              sh_energy_ratio: double
              billboard_bias_ratio: double
              spatial_gini: double
              density_entropy: double
              Field_Total_Volume: double
              experiment: string
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1858, in _prepare_split_single
                  num_examples, num_bytes = writer.finalize()
                                            ~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 781, in finalize
                  self.write_rows_on_file()
                  ~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 662, in write_rows_on_file
                  table = pa.concat_tables(self.current_rows)
                File "pyarrow/table.pxi", line 6320, in pyarrow.lib.concat_tables
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
                  raise convert_status(status)
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              method: string
              scene: string
              prior_type: string
              photometric: struct<PSNR: double, LPIPS: double, SSIM: double, n: int64>
              geometric: struct<gamma_median: double, gamma_90th_percentile: double, scale_mean: double, alpha_mean: double, filter_3d_mean: double, sh_energy_ratio: double, pathology_flags: list<item: null>, mean_depth_variance: double>
              pathology_flags: list<item: null>
              vs
              gamma_median: double
              gamma_90th_percentile: double
              scale_mean: double
              alpha_mean: double
              filter_3d_mean: double
              sh_energy_ratio: double
              billboard_bias_ratio: double
              spatial_gini: double
              density_entropy: double
              Field_Total_Volume: double
              experiment: string
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1869, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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int64
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1,156.160508
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End of preview.

SplatAtlas Runs Bundle

This is the large per-experiment artifact bundle for the anonymous NeurIPS 2026 submission of SplatAtlas.

Single landing page:

Companion core bundle:

Archive layout

Each canonical method-scene cell is stored as two archives under outputs/:

outputs/<method_key>_<scene_key>_point_cloud.tar
outputs/<method_key>_<scene_key>_rest.tar
Archive suffix Contents
_point_cloud.tar Exported Gaussian-field / PLY point-cloud artifacts, including checkpointed point-cloud directories when available.
_rest.tar TensorBoard scalar trajectories, JSON/YAML metadata, metrics, timing files, audit logs, configs, and method-native non-PLY checkpoints.

The full 31 × 31 mapping is provided in the core bundle:

manifests/runs_archive_manifest.tsv

Scale

This bundle contains 961 canonical method-scene cells.

  • Point-cloud archives: 1.32 TB
  • Rest archives: 189.65 GB
  • Total archive size: 1.50 TB

Most reviewers should start with the core bundle and only download selected run archives when inspecting a specific method-scene cell.

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