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CMIA Lab 4

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 20 new columns ({'psd_method', 'grid_resolution', 'severity', 'geometry_parameters', 'correlation_length_x', 'method', 'physical_dimensions', 'manufacturing_process', 'orientation', 'is_anisotropic', 'ra_actual', 'correlation_length_y', 'anisotropy_ratio', 'generation_timestamp', 'sample_id', 'curvature_statistics', 'hybrid_parameters', 'geometry_type', 'rq_target', 'rq_actual'}) and 8 missing columns ({'total_samples', 'start_time', 'severity_counts', 'process_counts', 'geometry_counts', 'successful_samples', 'end_time', 'failed_samples'}).

This happened while the json dataset builder was generating data using

hf://datasets/cmialab/nloplearning2/metadata/complex_airfoil/sample_000005.json (at revision 797a81702225328fe51055d48400e5fe4486bee2)

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
              sample_id: int64
              geometry_type: string
              geometry_parameters: struct<type: string, profile: string, chord: double, thickness_scale: double>
                child 0, type: string
                child 1, profile: string
                child 2, chord: double
                child 3, thickness_scale: double
              rq_target: double
              rq_actual: double
              ra_actual: double
              severity: string
              is_anisotropic: bool
              psd_method: string
              manufacturing_process: string
              method: string
              grid_resolution: list<item: int64>
                child 0, item: int64
              physical_dimensions: list<item: double>
                child 0, item: double
              curvature_statistics: struct<mean_slope: double, max_slope: double, height_range: double, mean_height: double, std_height: (... 8 chars omitted)
                child 0, mean_slope: double
                child 1, max_slope: double
                child 2, height_range: double
                child 3, mean_height: double
                child 4, std_height: double
              generation_timestamp: string
              correlation_length_x: double
              correlation_length_y: double
              orientation: double
              anisotropy_ratio: double
              hybrid_parameters: struct<w_psd: double, w_perlin: double, w_fractal: double, perlin_octaves: int64, perlin_persistence (... 81 chars omitted)
                child 0, w_psd: double
                child 1, w_perlin: double
                child 2, w_fractal: double
                child 3, perlin_octaves: int64
                child 4, perlin_persistence: double
                child 5, perlin_lacunarity: double
                child 6, fractal_hurst: double
                child 7, fractal_modes: int64
              to
              {'total_samples': Value('int64'), 'successful_samples': Value('int64'), 'failed_samples': Value('int64'), 'geometry_counts': {'naca_airfoil': Value('int64'), 'simple_spline': Value('int64'), 'complex_airfoil': Value('int64'), 'cone': Value('int64'), 'ellipsoid': Value('int64'), 'nurbs': Value('int64'), 'sphere': Value('int64'), 'flat': Value('int64'), 'cylinder': Value('int64')}, 'process_counts': {'combined_mechanisms': Value('int64'), 'extreme_pitting_coalescence': Value('int64'), 'structural_degradation': Value('int64'), 'random': Value('int64'), 'end_of_life_corrosion': Value('int64'), 'catastrophic_leading_edge': Value('int64')}, 'severity_counts': {'high_corrosion': Value('int64')}, 'start_time': Value('string'), 'end_time': Value('null')}
              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 1450, 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 993, in stream_convert_to_parquet
                  builder._prepare_split(
                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 20 new columns ({'psd_method', 'grid_resolution', 'severity', 'geometry_parameters', 'correlation_length_x', 'method', 'physical_dimensions', 'manufacturing_process', 'orientation', 'is_anisotropic', 'ra_actual', 'correlation_length_y', 'anisotropy_ratio', 'generation_timestamp', 'sample_id', 'curvature_statistics', 'hybrid_parameters', 'geometry_type', 'rq_target', 'rq_actual'}) and 8 missing columns ({'total_samples', 'start_time', 'severity_counts', 'process_counts', 'geometry_counts', 'successful_samples', 'end_time', 'failed_samples'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/cmialab/nloplearning2/metadata/complex_airfoil/sample_000005.json (at revision 797a81702225328fe51055d48400e5fe4486bee2)
              
              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)