Datasets:

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hylosense

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dwd-icon-global-zarr

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hylosense 2

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 1 new columns ({'dimension_names'})

This happened while the json dataset builder was generating data using

hf://datasets/hylosense/dwd-icon-global-zarr/2025/09/24/00/qv_model_levels.zarr/valid_time/zarr.json (at revision 40e6357c47abfb5b3174b2cd88dd76ca64dce661)

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 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 644, 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 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              shape: list<item: int64>
                child 0, item: int64
              data_type: string
              chunk_grid: struct<name: string, configuration: struct<chunk_shape: list<item: int64>>>
                child 0, name: string
                child 1, configuration: struct<chunk_shape: list<item: int64>>
                    child 0, chunk_shape: list<item: int64>
                        child 0, item: int64
              chunk_key_encoding: struct<name: string, configuration: struct<separator: string>>
                child 0, name: string
                child 1, configuration: struct<separator: string>
                    child 0, separator: string
              fill_value: double
              codecs: list<item: struct<name: string, configuration: struct<endian: string, level: int64, checksum: bool>>>
                child 0, item: struct<name: string, configuration: struct<endian: string, level: int64, checksum: bool>>
                    child 0, name: string
                    child 1, configuration: struct<endian: string, level: int64, checksum: bool>
                        child 0, endian: string
                        child 1, level: int64
                        child 2, checksum: bool
              attributes: struct<standard_name: string, long_name: string, units: string, calendar: string, _FillValue: string>
                child 0, standard_name: string
                child 1, long_name: string
                child 2, units: string
                child 3, calendar: string
                child 4, _FillValue: string
              dimension_names: list<item: string>
                child 0, item: string
              zarr_format: int64
              node_type: string
              storage_transformers: list<item: null>
                child 0, item: null
              to
              {'shape': List(Value('null')), 'data_type': Value('string'), 'chunk_grid': {'name': Value('string'), 'configuration': {'chunk_shape': List(Value('null'))}}, 'chunk_key_encoding': {'name': Value('string'), 'configuration': {'separator': Value('string')}}, 'fill_value': Value('float64'), 'codecs': List({'name': Value('string'), 'configuration': {'endian': Value('string'), 'level': Value('int64'), 'checksum': Value('bool')}}), 'attributes': {'standard_name': Value('string'), 'long_name': Value('string'), 'units': Value('string'), 'calendar': Value('string'), '_FillValue': Value('string')}, 'zarr_format': Value('int64'), 'node_type': Value('string'), 'storage_transformers': List(Value('null'))}
              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 1451, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 994, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1702, 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 1833, 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 1 new columns ({'dimension_names'})
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/hylosense/dwd-icon-global-zarr/2025/09/24/00/qv_model_levels.zarr/valid_time/zarr.json (at revision 40e6357c47abfb5b3174b2cd88dd76ca64dce661)
              
              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)