Datasets:

---

edithatogo

/

foi-process-event-logs-bounded

like 0

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
activities: list<item: struct<activity: string, count: int64>>
  child 0, item: struct<activity: string, count: int64>
      child 0, activity: string
      child 1, count: int64
cases: list<item: struct<case_id: string, event_count: int64>>
  child 0, item: struct<case_id: string, event_count: int64>
      child 0, case_id: string
      child 1, event_count: int64
edges: list<item: struct<count: int64, source: string, target: string>>
  child 0, item: struct<count: int64, source: string, target: string>
      child 0, count: int64
      child 1, source: string
      child 2, target: string
meta: struct<classification: string, dataset_id: string, event_log_sha256: string, manifest_sha256: string (... 40 chars omitted)
  child 0, classification: string
  child 1, dataset_id: string
  child 2, event_log_sha256: string
  child 3, manifest_sha256: string
  child 4, scope: string
  child 5, source_release: string
metrics: struct<active_event_count: int64, activity_count: int64, attachment_count: int64, batch_count: int64 (... 20 chars omitted)
  child 0, active_event_count: int64
  child 1, activity_count: int64
  child 2, attachment_count: int64
  child 3, batch_count: int64
  child 4, case_count: int64
source_order: struct<attachment_sequence: int64, request_sequence: int64, source: string>
  child 0, attachment_sequence: int64
  child 1, request_sequence: int64
  child 2, source: string
attachment_id: string
content_type: string
logical_request_id: string
provenance: struct<captured_at: timestamp[s], source_path: string>
  child 0, captured_at: timestamp[s]
  child 1, source_path: string
locator: struct<uri: string>
  child 0, uri: string
warc_record_id: string
byte_size: int64
schema_version: string
to
{'attachment_id': Value('string'), 'byte_size': Value('int64'), 'content_type': Value('string'), 'locator': {'uri': Value('string')}, 'logical_request_id': Value('string'), 'provenance': {'captured_at': Value('timestamp[s]'), 'source_path': Value('string')}, 'schema_version': Value('string'), 'source_order': {'attachment_sequence': Value('int64'), 'request_sequence': Value('int64'), 'source': Value('string')}, 'warc_record_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
              activities: list<item: struct<activity: string, count: int64>>
                child 0, item: struct<activity: string, count: int64>
                    child 0, activity: string
                    child 1, count: int64
              cases: list<item: struct<case_id: string, event_count: int64>>
                child 0, item: struct<case_id: string, event_count: int64>
                    child 0, case_id: string
                    child 1, event_count: int64
              edges: list<item: struct<count: int64, source: string, target: string>>
                child 0, item: struct<count: int64, source: string, target: string>
                    child 0, count: int64
                    child 1, source: string
                    child 2, target: string
              meta: struct<classification: string, dataset_id: string, event_log_sha256: string, manifest_sha256: string (... 40 chars omitted)
                child 0, classification: string
                child 1, dataset_id: string
                child 2, event_log_sha256: string
                child 3, manifest_sha256: string
                child 4, scope: string
                child 5, source_release: string
              metrics: struct<active_event_count: int64, activity_count: int64, attachment_count: int64, batch_count: int64 (... 20 chars omitted)
                child 0, active_event_count: int64
                child 1, activity_count: int64
                child 2, attachment_count: int64
                child 3, batch_count: int64
                child 4, case_count: int64
              source_order: struct<attachment_sequence: int64, request_sequence: int64, source: string>
                child 0, attachment_sequence: int64
                child 1, request_sequence: int64
                child 2, source: string
              attachment_id: string
              content_type: string
              logical_request_id: string
              provenance: struct<captured_at: timestamp[s], source_path: string>
                child 0, captured_at: timestamp[s]
                child 1, source_path: string
              locator: struct<uri: string>
                child 0, uri: string
              warc_record_id: string
              byte_size: int64
              schema_version: string
              to
              {'attachment_id': Value('string'), 'byte_size': Value('int64'), 'content_type': Value('string'), 'locator': {'uri': Value('string')}, 'logical_request_id': Value('string'), 'provenance': {'captured_at': Value('timestamp[s]'), 'source_path': Value('string')}, 'schema_version': Value('string'), 'source_order': {'attachment_sequence': Value('int64'), 'request_sequence': Value('int64'), 'source': Value('string')}, 'warc_record_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