Datasets:

---

hk239

/

arad

Like 0

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
image_path: string
sample_id: string
generation: null
schema_version: string
source: struct<benchmark_split: string, category: string, compat_id: string, dataset: string, dataset_versio (... 324 chars omitted)
  child 0, benchmark_split: string
  child 1, category: string
  child 2, compat_id: string
  child 3, dataset: string
  child 4, dataset_version: string
  child 5, defect_subtype: string
  child 6, exact_duplicate_ids: list<item: null>
      child 0, item: null
  child 7, height: int64
  child 8, identity_group: string
  child 9, image_abs: string
  child 10, image_path: string
  child 11, image_sha256: string
  child 12, in_development: bool
  child 13, label: int64
  child 14, mask_abs: string
  child 15, mask_path: string
  child 16, mask_sha256: string
  child 17, official_split: string
  child 18, source_id: string
  child 19, width: int64
output: struct<path: string, sha256: null>
  child 0, path: string
  child 1, sha256: null
quality: struct<clip_fraction_before_encoding: null, gradient_energy_ratio: null, psnr_srgb: null, ssim_srgb: (... 29 chars omitted)
  child 0, clip_fraction_before_encoding: null
  child 1, gradient_energy_ratio: null
  child 2, psnr_srgb: null
  child 3, ssim_srgb: null
  child 4, technical_valid: null
to
{'generation': {'active_effects': List(Value('string')), 'assignment_seed': Value('int64'), 'blur': Json(decode=True), 'blur_kind': Value('string'), 'component_tiers': Json(decode=True), 'dominant_effect': Value('string'), 'exposure_ev': Value('float64'), 'jpeg': {'chroma_subsampling': Value('string'), 'enabled': Value('bool'), 'quality': Value('int64')}, 'noise': Json(decode=True), 'operator_order': List(Value('string')), 'parameter_seed': Value('int64'), 'profile': Value('string'), 'realization_id': Value('int64'), 'realization_seed': Value('int64'), 'recipe_tier': Value('int64'), 'reference_short_side': Value('int64'), 'resampling': {'enabled': Value('bool'), 'factor': Value('float64')}, 'spatial_scale_q': Value('float64'), 'track': Value('string')}, 'output': {'path': Value('string'), 'sha256': Value('null')}, 'quality': {'clip_fraction_before_encoding': Value('null'), 'gradient_energy_ratio': Value('null'), 'psnr_srgb': Value('null'), 'ssim_srgb': Value('null'), 'technical_valid': Value('null')}, 'sample_id': Value('string'), 'schema_version': Value('string'), 'source': {'benchmark_split': Value('string'), 'category': Value('string'), 'compat_id': Value('string'), 'dataset': Value('string'), 'dataset_version': Value('string'), 'defect_subtype': Value('string'), 'exact_duplicate_ids': List(Value('null')), 'height': Value('int64'), 'identity_group': Value('string'), 'image_abs': Value('string'), 'image_path': Value('string'), 'image_sha256': Value('string'), 'in_development': Value('bool'), 'label': Value('int64'), 'mask_abs': Value('string'), 'mask_path': Value('string'), 'mask_sha256': Value('string'), 'official_split': Value('string'), 'source_id': Value('string'), 'width': Value('int64')}}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1827, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
                  for item in generator(*args, **kwargs):
                              ~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_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
              image_path: string
              sample_id: string
              generation: null
              schema_version: string
              source: struct<benchmark_split: string, category: string, compat_id: string, dataset: string, dataset_versio (... 324 chars omitted)
                child 0, benchmark_split: string
                child 1, category: string
                child 2, compat_id: string
                child 3, dataset: string
                child 4, dataset_version: string
                child 5, defect_subtype: string
                child 6, exact_duplicate_ids: list<item: null>
                    child 0, item: null
                child 7, height: int64
                child 8, identity_group: string
                child 9, image_abs: string
                child 10, image_path: string
                child 11, image_sha256: string
                child 12, in_development: bool
                child 13, label: int64
                child 14, mask_abs: string
                child 15, mask_path: string
                child 16, mask_sha256: string
                child 17, official_split: string
                child 18, source_id: string
                child 19, width: int64
              output: struct<path: string, sha256: null>
                child 0, path: string
                child 1, sha256: null
              quality: struct<clip_fraction_before_encoding: null, gradient_energy_ratio: null, psnr_srgb: null, ssim_srgb: (... 29 chars omitted)
                child 0, clip_fraction_before_encoding: null
                child 1, gradient_energy_ratio: null
                child 2, psnr_srgb: null
                child 3, ssim_srgb: null
                child 4, technical_valid: null
              to
              {'generation': {'active_effects': List(Value('string')), 'assignment_seed': Value('int64'), 'blur': Json(decode=True), 'blur_kind': Value('string'), 'component_tiers': Json(decode=True), 'dominant_effect': Value('string'), 'exposure_ev': Value('float64'), 'jpeg': {'chroma_subsampling': Value('string'), 'enabled': Value('bool'), 'quality': Value('int64')}, 'noise': Json(decode=True), 'operator_order': List(Value('string')), 'parameter_seed': Value('int64'), 'profile': Value('string'), 'realization_id': Value('int64'), 'realization_seed': Value('int64'), 'recipe_tier': Value('int64'), 'reference_short_side': Value('int64'), 'resampling': {'enabled': Value('bool'), 'factor': Value('float64')}, 'spatial_scale_q': Value('float64'), 'track': Value('string')}, 'output': {'path': Value('string'), 'sha256': Value('null')}, 'quality': {'clip_fraction_before_encoding': Value('null'), 'gradient_energy_ratio': Value('null'), 'psnr_srgb': Value('null'), 'ssim_srgb': Value('null'), 'technical_valid': Value('null')}, 'sample_id': Value('string'), 'schema_version': Value('string'), 'source': {'benchmark_split': Value('string'), 'category': Value('string'), 'compat_id': Value('string'), 'dataset': Value('string'), 'dataset_version': Value('string'), 'defect_subtype': Value('string'), 'exact_duplicate_ids': List(Value('null')), 'height': Value('int64'), 'identity_group': Value('string'), 'image_abs': Value('string'), 'image_path': Value('string'), 'image_sha256': Value('string'), 'in_development': Value('bool'), 'label': Value('int64'), 'mask_abs': Value('string'), 'mask_path': Value('string'), 'mask_sha256': Value('string'), 'official_split': Value('string'), 'source_id': Value('string'), 'width': Value('int64')}}
              because column names don't match
              
              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 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 1880, 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