Datasets:

---

AHFIDAILabs

/

CS4RRA

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 9 new columns ({'wind_dir_cos', 'hour', 'condition_category', 'day', 'month_name', 'datetime', 'year', 'wind_dir_sin', 'month'}) and 12 missing columns ({'timezone', 'pressure_in', 'air_quality_us-epa-index', 'visibility_miles', 'last_updated_epoch', 'precip_in', 'gust_mph', 'temperature_fahrenheit', 'air_quality_gb-defra-index', 'moon_illumination', 'wind_mph', 'feels_like_fahrenheit'}).

This happened while the csv dataset builder was generating data using

hf://datasets/AHFIDAILabs/CS4RRA/cleaned_climate_data.csv (at revision dab7ae12e3825cd42984929f97b3c03fde9781d8)

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 "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              country: string
              location_name: string
              latitude: double
              longitude: double
              last_updated: string
              temperature_celsius: double
              condition_text: string
              wind_kph: double
              wind_degree: int64
              wind_direction: string
              pressure_mb: int64
              precip_mm: double
              humidity: int64
              cloud: int64
              feels_like_celsius: double
              visibility_km: double
              uv_index: double
              gust_kph: double
              air_quality_Carbon_Monoxide: double
              air_quality_Ozone: double
              air_quality_Nitrogen_dioxide: double
              air_quality_Sulphur_dioxide: double
              air_quality_PM2.5: double
              air_quality_PM10: double
              sunrise: string
              sunset: string
              moonrise: string
              moonset: string
              moon_phase: string
              wind_dir_sin: double
              wind_dir_cos: double
              datetime: string
              year: int64
              month: int64
              day: int64
              hour: int64
              month_name: string
              condition_category: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 4937
              to
              {'country': Value('string'), 'location_name': Value('string'), 'latitude': Value('float64'), 'longitude': Value('float64'), 'timezone': Value('string'), 'last_updated_epoch': Value('int64'), 'last_updated': Value('string'), 'temperature_celsius': Value('float64'), 'temperature_fahrenheit': Value('float64'), 'condition_text': Value('string'), 'wind_mph': Value('float64'), 'wind_kph': Value('float64'), 'wind_degree': Value('int64'), 'wind_direction': Value('string'), 'pressure_mb': Value('int64'), 'pressure_in': Value('float64'), 'precip_mm': Value('float64'), 'precip_in': Value('float64'), 'humidity': Value('int64'), 'cloud': Value('int64'), 'feels_like_celsius': Value('float64'), 'feels_like_fahrenheit': Value('float64'), 'visibility_km': Value('float64'), 'visibility_miles': Value('int64'), 'uv_index': Value('float64'), 'gust_mph': Value('float64'), 'gust_kph': Value('float64'), 'air_quality_Carbon_Monoxide': Value('float64'), 'air_quality_Ozone': Value('float64'), 'air_quality_Nitrogen_dioxide': Value('float64'), 'air_quality_Sulphur_dioxide': Value('float64'), 'air_quality_PM2.5': Value('float64'), 'air_quality_PM10': Value('float64'), 'air_quality_us-epa-index': Value('int64'), 'air_quality_gb-defra-index': Value('int64'), 'sunrise': Value('string'), 'sunset': Value('string'), 'moonrise': Value('string'), 'moonset': Value('string'), 'moon_phase': Value('string'), 'moon_illumination': Value('int64')}
              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 1455, 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 1054, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/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 9 new columns ({'wind_dir_cos', 'hour', 'condition_category', 'day', 'month_name', 'datetime', 'year', 'wind_dir_sin', 'month'}) and 12 missing columns ({'timezone', 'pressure_in', 'air_quality_us-epa-index', 'visibility_miles', 'last_updated_epoch', 'precip_in', 'gust_mph', 'temperature_fahrenheit', 'air_quality_gb-defra-index', 'moon_illumination', 'wind_mph', 'feels_like_fahrenheit'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/AHFIDAILabs/CS4RRA/cleaned_climate_data.csv (at revision dab7ae12e3825cd42984929f97b3c03fde9781d8)
              
              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)