Datasets:

---

harisarang

/

ml-256

like 0

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 ({'d', 'q', 'n'}).

This happened while the json dataset builder was generating data using

hf://datasets/harisarang/ml-256/test.json (at revision 36d96a2dd267faf16332bbfa125aa03041de2158)

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 1870, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, 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 2292, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              queries: struct<3: list<item: list<item: string>>, 4: list<item: list<item: string>>, 5: list<item: list<item: string>>>
                child 0, 3: list<item: list<item: string>>
                    child 0, item: list<item: string>
                        child 0, item: string
                child 1, 4: list<item: list<item: string>>
                    child 0, item: list<item: string>
                        child 0, item: string
                child 2, 5: list<item: list<item: string>>
                    child 0, item: list<item: string>
                        child 0, item: string
              corpus: struct<1: list<item: string>, 2: list<item: string>, 3: list<item: string>, 4: list<item: string>, 5: list<item: string>, 8: list<item: string>, 9: list<item: string>, 10: list<item: string>, 13: list<item: string>, 15: list<item: string>, 17: list<item: string>, 19: list<item: string>, 20: list<item: string>, 21: list<item: string>, 22: list<item: string>, 23: list<item: string>, 24: list<item: string>, 27: list<item: string>, 28: list<item: string>, 29: list<item: string>, 31: list<item: string>, 32: list<item: string>, 33: list<item: string>, 35: list<item: string>, 36: list<item: string>, 37: list<item: string>, 39: list<item: string>, 40: list<item: string>, 41: list<item: string>, 42: list<item: string>, 43: list<item: string>, 44: list<item: string>, 45: list<item: string>, 46: list<item: string>, 47: list<item: string>, 48: list<item: string>, 49: list<item: string>, 51: list<item: string>, 53: list<item: string>, 54: list<item: string>, 56: list<item: string>, 57: list<item: string>, 58: list<ite
              ...
              hild 0, item: string
                child 1129, 1648: list<item: string>
                    child 0, item: string
                child 1130, 1653: list<item: string>
                    child 0, item: string
                child 1131, 1654: list<item: string>
                    child 0, item: string
                child 1132, 1656: list<item: string>
                    child 0, item: string
                child 1133, 1657: list<item: string>
                    child 0, item: string
                child 1134, 1660: list<item: string>
                    child 0, item: string
                child 1135, 1662: list<item: string>
                    child 0, item: string
                child 1136, 1663: list<item: string>
                    child 0, item: string
                child 1137, 1664: list<item: string>
                    child 0, item: string
                child 1138, 1666: list<item: string>
                    child 0, item: string
                child 1139, 1668: list<item: string>
                    child 0, item: string
                child 1140, 1670: list<item: string>
                    child 0, item: string
                child 1141, 1672: list<item: string>
                    child 0, item: string
                child 1142, 1673: list<item: string>
                    child 0, item: string
                child 1143, 1674: list<item: string>
                    child 0, item: string
                child 1144, 1677: list<item: string>
                    child 0, item: string
                child 1145, 1679: list<item: string>
                    child 0, item: string
                child 1146, 1680: list<item: string>
                    child 0, item: string
              relevant_docs: struct<3: list<item: string>, 4: list<item: string>, 5: list<item: string>>
                child 0, 3: list<item: string>
                    child 0, item: string
                child 1, 4: list<item: string>
                    child 0, item: string
                child 2, 5: 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 1420, 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 1052, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1000, 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 1741, 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 1872, 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 ({'d', 'q', 'n'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/harisarang/ml-256/test.json (at revision 36d96a2dd267faf16332bbfa125aa03041de2158)
              
              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)