Datasets:

---

tinkersnot

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web-workflow-corpus

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Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
task_id: string
corpus: string
host: string
domain: string
subdomain: string
task_text: string
steps: list<item: null>
  child 0, item: null
step_count: int64
level: string
labels: struct<intent_family: string, account_required: double, risk_class: string, form_heavy: double, diff (... 41 chars omitted)
  child 0, intent_family: string
  child 1, account_required: double
  child 2, risk_class: string
  child 3, form_heavy: double
  child 4, difficulty: double
  child 5, challenge_likely: double
labeller: string
confidence: struct<intent_family: double, risk_class: double, difficulty: double>
  child 0, intent_family: double
  child 1, risk_class: double
  child 2, difficulty: double
at: int64
to
{'task_id': Value('string'), 'host': Value('string'), 'labels': {'intent_family': Value('string'), 'account_required': Value('float64'), 'risk_class': Value('string'), 'form_heavy': Value('float64'), 'difficulty': Value('float64'), 'challenge_likely': Value('float64')}, 'confidence': {'intent_family': Value('float64'), 'risk_class': Value('float64'), 'difficulty': Value('float64')}, 'labeller': Value('string'), 'at': 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
              task_id: string
              corpus: string
              host: string
              domain: string
              subdomain: string
              task_text: string
              steps: list<item: null>
                child 0, item: null
              step_count: int64
              level: string
              labels: struct<intent_family: string, account_required: double, risk_class: string, form_heavy: double, diff (... 41 chars omitted)
                child 0, intent_family: string
                child 1, account_required: double
                child 2, risk_class: string
                child 3, form_heavy: double
                child 4, difficulty: double
                child 5, challenge_likely: double
              labeller: string
              confidence: struct<intent_family: double, risk_class: double, difficulty: double>
                child 0, intent_family: double
                child 1, risk_class: double
                child 2, difficulty: double
              at: int64
              to
              {'task_id': Value('string'), 'host': Value('string'), 'labels': {'intent_family': Value('string'), 'account_required': Value('float64'), 'risk_class': Value('string'), 'form_heavy': Value('float64'), 'difficulty': Value('float64'), 'challenge_likely': Value('float64')}, 'confidence': {'intent_family': Value('float64'), 'risk_class': Value('float64'), 'difficulty': Value('float64')}, 'labeller': Value('string'), 'at': 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 1879, 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