Datasets:

---

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discogs-scraper

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Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
handle: string
artistName: string
artistId: int64
artistUrl: string
releaseId: string
releaseTitle: string
year: int64
released: string
country: string
genres: list<item: string>
  child 0, item: string
styles: list<item: string>
  child 0, item: string
labels: list<item: string>
  child 0, item: string
catalogNumbers: list<item: string>
  child 0, item: string
formats: list<item: string>
  child 0, item: string
trackCount: int64
masterId: string
communityHave: int64
communityWant: int64
ratingAverage: double
ratingCount: int64
numForSale: int64
lowestPriceUsd: double
dataQuality: string
releaseUrl: string
retrievedAt: timestamp[s]
_run_id: string
_dataset_id: string
sourceQuery: string
fetchedAt: string
countryCode: string
vatNumber: string
isValid: bool
userError: string
name: string
address: string
requestDate: string
schemaVersion: string
mode: string
monitorId: string
entityId: null
entityKey: string
label: string
inputVat: string
verdict: string
sourceStatus: string
officialName: string
officialAddress: string
requestIdentifier: null
checkedAt: string
responseBodySha256: string
attemptCount: int64
expectedNameStatus: string
expectedAddressStatus: string
primaryEvent: string
events: list<item: struct<code: string, detail: string>>
  child 0, item: struct<code: string, detail: string>
      child 0, code: string
      child 1, detail: string
isException: bool
previous: struct<vatValid: bool, officialName: string, officialAddress: string, checkedAt: string>
  child 0, vatValid: bool
  child 1, officialName: string
  child 2, officialAddress: string
  child 3, checkedAt: string
websiteSignals: null
billableEvents: list<item: string>
  child 0, item: string
input: struct<vat: string, label: string>
  child 0, vat: string
  child 1, label: string
changeType: string
vatValid: bool
viesStatus: string
to
{'handle': Value('string'), 'artistName': Value('string'), 'artistId': Value('int64'), 'artistUrl': Value('string'), 'releaseId': Value('string'), 'releaseTitle': Value('string'), 'year': Value('int64'), 'released': Value('string'), 'country': Value('string'), 'genres': List(Value('string')), 'styles': List(Value('string')), 'labels': List(Value('string')), 'catalogNumbers': List(Value('string')), 'formats': List(Value('string')), 'trackCount': Value('int64'), 'masterId': Value('string'), 'communityHave': Value('int64'), 'communityWant': Value('int64'), 'ratingAverage': Value('float64'), 'ratingCount': Value('int64'), 'numForSale': Value('int64'), 'lowestPriceUsd': Value('float64'), 'dataQuality': Value('string'), 'releaseUrl': Value('string'), 'retrievedAt': Value('timestamp[s]'), '_run_id': Value('string'), '_dataset_id': Value('string')}
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
              handle: string
              artistName: string
              artistId: int64
              artistUrl: string
              releaseId: string
              releaseTitle: string
              year: int64
              released: string
              country: string
              genres: list<item: string>
                child 0, item: string
              styles: list<item: string>
                child 0, item: string
              labels: list<item: string>
                child 0, item: string
              catalogNumbers: list<item: string>
                child 0, item: string
              formats: list<item: string>
                child 0, item: string
              trackCount: int64
              masterId: string
              communityHave: int64
              communityWant: int64
              ratingAverage: double
              ratingCount: int64
              numForSale: int64
              lowestPriceUsd: double
              dataQuality: string
              releaseUrl: string
              retrievedAt: timestamp[s]
              _run_id: string
              _dataset_id: string
              sourceQuery: string
              fetchedAt: string
              countryCode: string
              vatNumber: string
              isValid: bool
              userError: string
              name: string
              address: string
              requestDate: string
              schemaVersion: string
              mode: string
              monitorId: string
              entityId: null
              entityKey: string
              label: string
              inputVat: string
              verdict: string
              sourceStatus: string
              officialName: string
              officialAddress: string
              requestIdentifier: null
              checkedAt: string
              responseBodySha256: string
              attemptCount: int64
              expectedNameStatus: string
              expectedAddressStatus: string
              primaryEvent: string
              events: list<item: struct<code: string, detail: string>>
                child 0, item: struct<code: string, detail: string>
                    child 0, code: string
                    child 1, detail: string
              isException: bool
              previous: struct<vatValid: bool, officialName: string, officialAddress: string, checkedAt: string>
                child 0, vatValid: bool
                child 1, officialName: string
                child 2, officialAddress: string
                child 3, checkedAt: string
              websiteSignals: null
              billableEvents: list<item: string>
                child 0, item: string
              input: struct<vat: string, label: string>
                child 0, vat: string
                child 1, label: string
              changeType: string
              vatValid: bool
              viesStatus: string
              to
              {'handle': Value('string'), 'artistName': Value('string'), 'artistId': Value('int64'), 'artistUrl': Value('string'), 'releaseId': Value('string'), 'releaseTitle': Value('string'), 'year': Value('int64'), 'released': Value('string'), 'country': Value('string'), 'genres': List(Value('string')), 'styles': List(Value('string')), 'labels': List(Value('string')), 'catalogNumbers': List(Value('string')), 'formats': List(Value('string')), 'trackCount': Value('int64'), 'masterId': Value('string'), 'communityHave': Value('int64'), 'communityWant': Value('int64'), 'ratingAverage': Value('float64'), 'ratingCount': Value('int64'), 'numForSale': Value('int64'), 'lowestPriceUsd': Value('float64'), 'dataQuality': Value('string'), 'releaseUrl': Value('string'), 'retrievedAt': Value('timestamp[s]'), '_run_id': Value('string'), '_dataset_id': Value('string')}
              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