Datasets:

---

BuildingBench

/

HOT

like 4

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 15 new columns ({'archetype', 'id', 'climate_zone', 'window_wall_ratio', 'thermal_scenario', 'roof_u_value', 'created_date', 'orientation', 'variation_type', 'file_size', 'wall_u_value', 'window_u_value', 'occupancy_schedule', 'window_shgc', 'filepath'}) and 19 missing columns ({'year', 'building_archetype', 'elevation', 'building_id', 'city', 'weather_id', 'weather_file_path', 'combination_id', 'building_variation', 'building_name', 'weather_country', 'longitude', 'building_file_path', 'weather_type', 'weather_climate_zone', 'weather_filename', 'latitude', 'weather_location', 'building_climate_zone'}).

This happened while the csv dataset builder was generating data using

hf://datasets/BuildingBench/HOT/tables/buildings.csv (at revision 06e84189e6c1e196f689dee26acd49533aa5f3af)

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
              id: int64
              archetype: string
              filepath: string
              created_date: string
              file_size: int64
              variation_type: string
              climate_zone: string
              orientation: double
              window_wall_ratio: double
              wall_u_value: double
              roof_u_value: double
              window_u_value: double
              window_shgc: double
              occupancy_schedule: string
              thermal_scenario: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2117
              to
              {'combination_id': Value('int64'), 'building_id': Value('int64'), 'building_name': Value('string'), 'building_file_path': Value('string'), 'building_archetype': Value('string'), 'building_variation': Value('string'), 'city': Value('string'), 'building_climate_zone': Value('string'), 'weather_id': Value('string'), 'weather_file_path': Value('string'), 'weather_filename': Value('string'), 'weather_location': Value('string'), 'weather_country': Value('string'), 'weather_climate_zone': Value('string'), 'weather_type': Value('string'), 'year': Value('float64'), 'latitude': Value('float64'), 'longitude': Value('float64'), 'elevation': Value('float64')}
              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 15 new columns ({'archetype', 'id', 'climate_zone', 'window_wall_ratio', 'thermal_scenario', 'roof_u_value', 'created_date', 'orientation', 'variation_type', 'file_size', 'wall_u_value', 'window_u_value', 'occupancy_schedule', 'window_shgc', 'filepath'}) and 19 missing columns ({'year', 'building_archetype', 'elevation', 'building_id', 'city', 'weather_id', 'weather_file_path', 'combination_id', 'building_variation', 'building_name', 'weather_country', 'longitude', 'building_file_path', 'weather_type', 'weather_climate_zone', 'weather_filename', 'latitude', 'weather_location', 'building_climate_zone'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/BuildingBench/HOT/tables/buildings.csv (at revision 06e84189e6c1e196f689dee26acd49533aa5f3af)
              
              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)