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typesense

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movielens-20m

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Typesense 10

Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 3 new columns ({'relevant_docs', 'corpus', 'queries'}) and 3 missing columns ({'n', 'q', 'd'}).

This happened while the json dataset builder was generating data using

hf://datasets/typesense/movielens-20m/test.json (at revision 855b34248a9cf65437b7cd9bbd40fedfdbb42eb0)

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1871, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 643, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2293, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2241, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              queries: struct<1396291: list<item: list<item: string>>, 1308540: list<item: list<item: string>>, 718979: list<item: list<item: string>>, 926118: list<item: list<item: string>>, 1298611: list<item: list<item: string>>, 1022149: list<item: list<item: string>>, 436085: list<item: list<item: string>>, 433599: list<item: list<item: string>>, 632390: list<item: list<item: string>>, 1392059: list<item: list<item: string>>, 1015439: list<item: list<item: string>>, 867607: list<item: list<item: string>>, 192006: list<item: list<item: string>>, 800595: list<item: list<item: string>>, 422372: list<item: list<item: string>>, 896963: list<item: list<item: string>>, 678180: list<item: list<item: string>>, 235272: list<item: list<item: string>>, 844775: list<item: list<item: string>>, 937717: list<item: list<item: string>>, 1410873: list<item: list<item: string>>, 278488: list<item: list<item: string>>, 1019629: list<item: list<item: string>>, 691357: list<item: list<item: string>>, 916159: list<item: list<item: string>>, 635621: list<item: list<item: string>>, 574950: list<item: list<item: string>>, 1294893: list<item: list<item: string>>, 277789: list<item: list<item: string>>, 1017078: list<item: list<item: string>>, 510449: list<item: list<item: string>>, 775169: list<item: list<item: string>>, 824576: list<item: list<item: string>>, 760153: list<item: list<item: string>>, 562679: list<item: list<item: string>>, 1343950: list<item: list<item: string>>, 1221244: list<item: list<item: st
              ...
               list<item: string>
                    child 0, item: string
                child 4979, 19324: list<item: string>
                    child 0, item: string
                child 4980, 667141: list<item: string>
                    child 0, item: string
                child 4981, 638491: list<item: string>
                    child 0, item: string
                child 4982, 535931: list<item: string>
                    child 0, item: string
                child 4983, 304989: list<item: string>
                    child 0, item: string
                child 4984, 982649: list<item: string>
                    child 0, item: string
                child 4985, 1120749: list<item: string>
                    child 0, item: string
                child 4986, 540517: list<item: string>
                    child 0, item: string
                child 4987, 345802: list<item: string>
                    child 0, item: string
                child 4988, 877748: list<item: string>
                    child 0, item: string
                child 4989, 1280026: list<item: string>
                    child 0, item: string
                child 4990, 1044687: list<item: string>
                    child 0, item: string
                child 4991, 733339: list<item: string>
                    child 0, item: string
                child 4992, 1368032: list<item: string>
                    child 0, item: string
                child 4993, 1076109: list<item: string>
                    child 0, item: string
                child 4994, 89648: list<item: string>
                    child 0, item: string
                child 4995, 310951: list<item: string>
                    child 0, item: string
                child 4996, 737012: list<item: string>
                    child 0, item: string
                child 4997, 250226: list<item: string>
                    child 0, item: string
                child 4998, 816523: list<item: string>
                    child 0, item: string
                child 4999, 1302241: list<item: string>
                    child 0, item: string
              to
              {'q': Sequence(feature=Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), length=-1, id=None), 'd': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'n': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None)}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1433, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1050, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 925, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1001, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1742, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1873, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 3 new columns ({'relevant_docs', 'corpus', 'queries'}) and 3 missing columns ({'n', 'q', 'd'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/typesense/movielens-20m/test.json (at revision 855b34248a9cf65437b7cd9bbd40fedfdbb42eb0)
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)