Datasets:

---

ZZoutian

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figure2data-database-v1

Like 0

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
asset_bytes: struct<array_bytes: int64, document_bytes: int64, image_bytes: int64>
  child 0, array_bytes: int64
  child 1, document_bytes: int64
  child 2, image_bytes: int64
attempt_histogram: struct<0: int64, 1: int64, 2: int64>
  child 0, 0: int64
  child 1, 1: int64
  child 2, 2: int64
elapsed_sec: double
failed: int64
failed_reason_counts: struct<>
generated: int64
mean_sample_sec: double
p95_sample_sec: double
planned: int64
reroll_rate: double
rerolled_samples: int64
shard_id: int64
skipped: int64
throughput_samples_per_sec: double
sample_id: string
image_sha256: string
difficulty_computed: string
attempt: int64
array_sha256: string
image_path: string
validation: struct<gates: string, reasons: list<item: null>>
  child 0, gates: string
  child 1, reasons: list<item: null>
      child 0, item: null
difficulty_score: int64
docs_sha256: struct<calibration: string, eval: string, geometry: string, manifest: string, quality: string, scene (... 24 chars omitted)
  child 0, calibration: string
  child 1, eval: string
  child 2, geometry: string
  child 3, manifest: string
  child 4, quality: string
  child 5, scene: string
  child 6, truth: string
array_path: string
to
{'array_path': Value('string'), 'array_sha256': Value('string'), 'attempt': Value('int64'), 'difficulty_computed': Value('string'), 'difficulty_score': Value('int64'), 'docs_sha256': {'calibration': Value('string'), 'eval': Value('string'), 'geometry': Value('string'), 'manifest': Value('string'), 'quality': Value('string'), 'scene': Value('string'), 'truth': Value('string')}, 'image_path': Value('string'), 'image_sha256': Value('string'), 'sample_id': Value('string'), 'validation': {'gates': Value('string'), 'reasons': List(Value('null'))}}
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
              asset_bytes: struct<array_bytes: int64, document_bytes: int64, image_bytes: int64>
                child 0, array_bytes: int64
                child 1, document_bytes: int64
                child 2, image_bytes: int64
              attempt_histogram: struct<0: int64, 1: int64, 2: int64>
                child 0, 0: int64
                child 1, 1: int64
                child 2, 2: int64
              elapsed_sec: double
              failed: int64
              failed_reason_counts: struct<>
              generated: int64
              mean_sample_sec: double
              p95_sample_sec: double
              planned: int64
              reroll_rate: double
              rerolled_samples: int64
              shard_id: int64
              skipped: int64
              throughput_samples_per_sec: double
              sample_id: string
              image_sha256: string
              difficulty_computed: string
              attempt: int64
              array_sha256: string
              image_path: string
              validation: struct<gates: string, reasons: list<item: null>>
                child 0, gates: string
                child 1, reasons: list<item: null>
                    child 0, item: null
              difficulty_score: int64
              docs_sha256: struct<calibration: string, eval: string, geometry: string, manifest: string, quality: string, scene (... 24 chars omitted)
                child 0, calibration: string
                child 1, eval: string
                child 2, geometry: string
                child 3, manifest: string
                child 4, quality: string
                child 5, scene: string
                child 6, truth: string
              array_path: string
              to
              {'array_path': Value('string'), 'array_sha256': Value('string'), 'attempt': Value('int64'), 'difficulty_computed': Value('string'), 'difficulty_score': Value('int64'), 'docs_sha256': {'calibration': Value('string'), 'eval': Value('string'), 'geometry': Value('string'), 'manifest': Value('string'), 'quality': Value('string'), 'scene': Value('string'), 'truth': Value('string')}, 'image_path': Value('string'), 'image_sha256': Value('string'), 'sample_id': Value('string'), 'validation': {'gates': Value('string'), 'reasons': List(Value('null'))}}
              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