Datasets:

---

b-r-a-n

/

mtg-draft

like 0

Error code:   DatasetGenerationError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
set_code: string
event_type: string
source_csv: string
parquet: string
n_cards: int64
n_rows: int64
n_skipped_rows: int64
n_drafts: null
oracle_id_matched: int64
meta_columns: list<item: string>
cards: list<item: struct<index: int64, name: string, oracle_id: null>>
vs
set_code: string
event_type: string
source_csv: string
parquet: string
n_cards: int64
n_rows: int64
n_skipped_rows: int64
n_drafts: null
oracle_id_matched: int64
meta_columns: list<item: string>
cards: list<item: struct<index: int64, name: string, oracle_id: string>>
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 764, in write_table
                  self.write_rows_on_file()  # in case there are buffered rows to write first
                  ~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 662, in write_rows_on_file
                  table = pa.concat_tables(self.current_rows)
                File "pyarrow/table.pxi", line 6320, in pyarrow.lib.concat_tables
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                  return check_status(status)
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
                  raise convert_status(status)
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              set_code: string
              event_type: string
              source_csv: string
              parquet: string
              n_cards: int64
              n_rows: int64
              n_skipped_rows: int64
              n_drafts: null
              oracle_id_matched: int64
              meta_columns: list<item: string>
              cards: list<item: struct<index: int64, name: string, oracle_id: null>>
              vs
              set_code: string
              event_type: string
              source_csv: string
              parquet: string
              n_cards: int64
              n_rows: int64
              n_skipped_rows: int64
              n_drafts: null
              oracle_id_matched: int64
              meta_columns: list<item: string>
              cards: list<item: struct<index: int64, name: string, oracle_id: string>>
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1858, in _prepare_split_single
                  num_examples, num_bytes = writer.finalize()
                                            ~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 781, in finalize
                  self.write_rows_on_file()
                  ~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 662, in write_rows_on_file
                  table = pa.concat_tables(self.current_rows)
                File "pyarrow/table.pxi", line 6320, in pyarrow.lib.concat_tables
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                  return check_status(status)
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
                  raise convert_status(status)
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              set_code: string
              event_type: string
              source_csv: string
              parquet: string
              n_cards: int64
              n_rows: int64
              n_skipped_rows: int64
              n_drafts: null
              oracle_id_matched: int64
              meta_columns: list<item: string>
              cards: list<item: struct<index: int64, name: string, oracle_id: null>>
              vs
              set_code: string
              event_type: string
              source_csv: string
              parquet: string
              n_cards: int64
              n_rows: int64
              n_skipped_rows: int64
              n_drafts: null
              oracle_id_matched: int64
              meta_columns: list<item: string>
              cards: list<item: struct<index: int64, name: string, oracle_id: string>>
              
              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