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deepinv

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deepinv 23

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 5 new columns ({'p_solver_zeta', 'p_solver_sigma', 'p_solver_denoiser', 'p_solver_max_iter', 'p_dataset_sigma_blur'})

This happened while the csv dataset builder was generating data using

hf://datasets/deepinv/benchmarks/div2k_gaussian_deblurring.csv (at revision 77a44960eeeef9408fa6dbab530140f05b790428), ['hf://datasets/deepinv/benchmarks@77a44960eeeef9408fa6dbab530140f05b790428/cbsd68_gaussian_denoising.csv', 'hf://datasets/deepinv/benchmarks@77a44960eeeef9408fa6dbab530140f05b790428/div2k_gaussian_deblurring.csv', 'hf://datasets/deepinv/benchmarks@77a44960eeeef9408fa6dbab530140f05b790428/div2k_inpainting_easy.csv', 'hf://datasets/deepinv/benchmarks@77a44960eeeef9408fa6dbab530140f05b790428/div2k_super_resolution_2x.csv']

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/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              base_seed: int64
              objective_name: string
              obj_description: double
              solver_name: string
              solver_description: double
              dataset_name: string
              idx_rep: int64
              sampling_strategy: string
              file_objective: string
              file_solver: string
              p_solver_denoiser: string
              p_solver_zeta: double
              file_dataset: string
              p_dataset_physics: string
              p_dataset_noise: string
              p_dataset_sigma: double
              p_dataset_sigma_blur: int64
              p_dataset_img_size: int64
              p_dataset_debug: bool
              stop_val: int64
              time: double
              objective_PSNR: double
              objective_PSNR_std: double
              objective_LPIPS: double
              objective_LPIPS_std: double
              env-OMP_NUM_THREADS: double
              platform: string
              platform-architecture: string
              platform-release: string
              platform-version: string
              system-cpus: int64
              system-processor: string
              system-ram (GB): int64
              version-cuda: string
              version-numpy: string
              version-numpy-libs: double
              version-scipy: string
              benchmark-git-tag: double
              p_solver_sigma: double
              p_solver_max_iter: double
              run_date: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 5529
              to
              {'base_seed': Value('int64'), 'objective_name': Value('string'), 'obj_description': Value('float64'), 'solver_name': Value('string'), 'solver_description': Value('float64'), 'dataset_name': Value('string'), 'idx_rep': Value('int64'), 'sampling_strategy': Value('string'), 'file_objective': Value('string'), 'file_solver': Value('string'), 'file_dataset': Value('string'), 'p_dataset_physics': Value('string'), 'p_dataset_noise': Value('string'), 'p_dataset_sigma': Value('float64'), 'p_dataset_img_size': Value('int64'), 'p_dataset_debug': Value('bool'), 'stop_val': Value('int64'), 'time': Value('float64'), 'objective_PSNR': Value('float64'), 'objective_PSNR_std': Value('float64'), 'objective_LPIPS': Value('float64'), 'objective_LPIPS_std': Value('float64'), 'env-OMP_NUM_THREADS': Value('float64'), 'platform': Value('string'), 'platform-architecture': Value('string'), 'platform-release': Value('string'), 'platform-version': Value('string'), 'system-cpus': Value('int64'), 'system-processor': Value('string'), 'system-ram (GB)': Value('int64'), 'version-cuda': Value('string'), 'version-numpy': Value('string'), 'version-numpy-libs': Value('float64'), 'version-scipy': Value('string'), 'benchmark-git-tag': Value('float64'), 'run_date': Value('string')}
              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 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 1694, 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 1850, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
                  ...<4 lines>...
                  )
              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 5 new columns ({'p_solver_zeta', 'p_solver_sigma', 'p_solver_denoiser', 'p_solver_max_iter', 'p_dataset_sigma_blur'})
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/deepinv/benchmarks/div2k_gaussian_deblurring.csv (at revision 77a44960eeeef9408fa6dbab530140f05b790428), ['hf://datasets/deepinv/benchmarks@77a44960eeeef9408fa6dbab530140f05b790428/cbsd68_gaussian_denoising.csv', 'hf://datasets/deepinv/benchmarks@77a44960eeeef9408fa6dbab530140f05b790428/div2k_gaussian_deblurring.csv', 'hf://datasets/deepinv/benchmarks@77a44960eeeef9408fa6dbab530140f05b790428/div2k_inpainting_easy.csv', 'hf://datasets/deepinv/benchmarks@77a44960eeeef9408fa6dbab530140f05b790428/div2k_super_resolution_2x.csv']
              
              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)