Datasets:

csaybar

/

supersat

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 ({'NAIP_date', 'NAIP_data_processing', 'NAIP_id'}) and 3 missing columns ({'worldwiew_date', 'worldwiew_id', 'worldwiew_data_processing'}).

This happened while the csv dataset builder was generating data using

hf://datasets/csaybar/supersat/NAIP19/metadata.csv (at revision 5ae57aa756509c7320ffe4d4289c9b3be9d3e772)

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 2011, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, 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 2302, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              tensor_index: string
              roi_id: string
              NAIP_id: string
              NAIP_date: string
              NAIP_data_processing: string
              S2_gee_id: string
              S2_product_id: string
              S2_date: string
              S2_data_processing: string
              S2_mean_solar_azimuth_angle: double
              S2_mean_solar_zenith_angle: double
              S2_processing_baseline: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1816
              to
              {'tensor_index': Value(dtype='string', id=None), 'roi_id': Value(dtype='string', id=None), 'worldwiew_id': Value(dtype='string', id=None), 'worldwiew_date': Value(dtype='string', id=None), 'worldwiew_data_processing': Value(dtype='string', id=None), 'S2_gee_id': Value(dtype='string', id=None), 'S2_product_id': Value(dtype='string', id=None), 'S2_date': Value(dtype='string', id=None), 'S2_mean_solar_azimuth_angle': Value(dtype='float64', id=None), 'S2_mean_solar_zenith_angle': Value(dtype='float64', id=None), 'S2_data_processing': Value(dtype='string', id=None), 'S2_processing_baseline': Value(dtype='string', 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 1316, in compute_config_parquet_and_info_response
                  parquet_operations, partial = stream_convert_to_parquet(
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 909, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, 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 2013, 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 ({'NAIP_date', 'NAIP_data_processing', 'NAIP_id'}) and 3 missing columns ({'worldwiew_date', 'worldwiew_id', 'worldwiew_data_processing'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/csaybar/supersat/NAIP19/metadata.csv (at revision 5ae57aa756509c7320ffe4d4289c9b3be9d3e772)
              
              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)