Datasets:

---

liamtee04

/

compliancecn

like 0

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
id: string
category: string
markets: list<item: string>
  child 0, item: string
when: struct<has_radio: bool, battery_type: string, has_battery: bool, includes_mains_charger: bool, age_g (... 145 chars omitted)
  child 0, has_radio: bool
  child 1, battery_type: string
  child 2, has_battery: bool
  child 3, includes_mains_charger: bool
  child 4, age_group: string
  child 5, accessible_small_parts: bool
  child 6, battery_compartment_security: string
  child 7, toy_chemical_assessment_complete: bool
  child 8, eu_destination: string
adds: list<item: struct<text_en: string, text_zh: string, classification: string>>
  child 0, item: struct<text_en: string, text_zh: string, classification: string>
      child 0, text_en: string
      child 1, text_zh: string
      child 2, classification: string
not_applicable: list<item: struct<text_en: string, text_zh: string>>
  child 0, item: struct<text_en: string, text_zh: string>
      child 0, text_en: string
      child 1, text_zh: string
sources: list<item: struct<name: string, authority: string, url: string>>
  child 0, item: struct<name: string, authority: string, url: string>
      child 0, name: string
      child 1, authority: string
      child 2, url: string
review_status: string
review_note: string
dataset_version: string
record_review_status: string
text_en: string
market: string
mandatory: bool
topic: string
evidence_status: string
jurisdiction_scope: string
classification: string
record_id: string
conditions: list<item: string>
  child 0, item: string
text_zh: string
claim_id: string
record_review_note: string
last_verified: timestamp[s]
legal_status: string
to
{'claim_id': Value('string'), 'record_id': Value('string'), 'category': Value('string'), 'market': Value('string'), 'jurisdiction_scope': Value('string'), 'legal_status': Value('string'), 'topic': Value('string'), 'classification': Value('string'), 'text_en': Value('string'), 'text_zh': Value('string'), 'mandatory': Value('bool'), 'conditions': List(Value('string')), 'evidence_status': Value('string'), 'sources': List({'title': Value('string'), 'authority': Value('string'), 'url': Value('string'), 'checked_at': Value('timestamp[s]')}), 'record_review_status': Value('string'), 'record_review_note': Value('string'), 'last_verified': Value('timestamp[s]')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1816, 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 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              id: string
              category: string
              markets: list<item: string>
                child 0, item: string
              when: struct<has_radio: bool, battery_type: string, has_battery: bool, includes_mains_charger: bool, age_g (... 145 chars omitted)
                child 0, has_radio: bool
                child 1, battery_type: string
                child 2, has_battery: bool
                child 3, includes_mains_charger: bool
                child 4, age_group: string
                child 5, accessible_small_parts: bool
                child 6, battery_compartment_security: string
                child 7, toy_chemical_assessment_complete: bool
                child 8, eu_destination: string
              adds: list<item: struct<text_en: string, text_zh: string, classification: string>>
                child 0, item: struct<text_en: string, text_zh: string, classification: string>
                    child 0, text_en: string
                    child 1, text_zh: string
                    child 2, classification: string
              not_applicable: list<item: struct<text_en: string, text_zh: string>>
                child 0, item: struct<text_en: string, text_zh: string>
                    child 0, text_en: string
                    child 1, text_zh: string
              sources: list<item: struct<name: string, authority: string, url: string>>
                child 0, item: struct<name: string, authority: string, url: string>
                    child 0, name: string
                    child 1, authority: string
                    child 2, url: string
              review_status: string
              review_note: string
              dataset_version: string
              record_review_status: string
              text_en: string
              market: string
              mandatory: bool
              topic: string
              evidence_status: string
              jurisdiction_scope: string
              classification: string
              record_id: string
              conditions: list<item: string>
                child 0, item: string
              text_zh: string
              claim_id: string
              record_review_note: string
              last_verified: timestamp[s]
              legal_status: string
              to
              {'claim_id': Value('string'), 'record_id': Value('string'), 'category': Value('string'), 'market': Value('string'), 'jurisdiction_scope': Value('string'), 'legal_status': Value('string'), 'topic': Value('string'), 'classification': Value('string'), 'text_en': Value('string'), 'text_zh': Value('string'), 'mandatory': Value('bool'), 'conditions': List(Value('string')), 'evidence_status': Value('string'), 'sources': List({'title': Value('string'), 'authority': Value('string'), 'url': Value('string'), 'checked_at': Value('timestamp[s]')}), 'record_review_status': Value('string'), 'record_review_note': Value('string'), 'last_verified': Value('timestamp[s]')}
              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 1683, 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 1869, 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