Datasets:

---

cosuleabianca

/

eea-pm25-forecasting

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 66 new columns ({'Air Quality Station Type', 'Detection Limit Unit', 'Cadence Unit', 'Documentation', 'Air Quality Station EoI Code', 'Air Quality Network Name', 'Altitude Unit', 'QA Report', 'Distance Junction Unit', 'Other Measurement Equipment', 'Other Measurement Method', 'Municipality', 'Measurement Method', 'Traffic Speed', 'Building Distance Unit', 'Distance Source', 'Source Data URL', 'Street Width', 'Operational Activity End', 'Kerb Distance Unit', 'Process Id', 'Dispersion Local', 'Imported', 'Air Pollutant', 'Sample Id', 'Inlet Height Unit', 'Duration', 'Building Distance', 'Traffic Emissions Unit', 'Operational Activity Begin', 'Other Analytical Technique', 'B-G Namespace', 'Timezone', 'Sampling Method', 'Analytical Technique', 'Height Facades', 'Measurement Equipment', 'Distance Junction', 'Dispersion Regional', 'Heavy Duty Fraction', 'Industrial Emissions Unit', 'Inlet Height', 'Kerb Distance', 'Detection Limit', 'Duration Unit', 'Air Quality Network', 'Heating Emissions Unit', 'Year', 'Air Quality Station Name', 'Main Emission Sources', 'Traffic Emissions', 'Process Activity End', 'Process Activity Begin', 'Sampling Point Id', 'Heating Emissions', 'Industrial Emissions', 'Measurement Type', 'Air Quality Station Area', 'Traffic Volume', 'Distance Source Unit', 'Cadence', 'Demonstration Report', 'Equivalence Demonstrated', 'Air Quality Station Nat Code', 'Mobile', 'Other Sampling Method'}) and 77 missing columns ({'PM10_rolling_mean_24h', 'PM10_rolling_std_3h', 'PM2.5_lag_6h', 'PM10_rolling_mean_3h', 'PM2.5_lag_24h', 'PM2.5_rolling_mean_6h', 'StationType_industrial', 'PM2.5_lag_12h', 'PM10', 'PM10_lag_12h', 'PM2.5_lag_2h', 'NO2_lag_2h', 'PM10_lag_1h', 'StationType_background', 'NO2_rolling_mean_24h', 'NO2_lag_24h', 'StationArea_urban', 'NO2_lag_6h', 'wind_v', 'PM2.5_rolling_std_3h', 'season', 'NO2_rolling_mean_3h', 'dt_utc', 'PM10_rolling_std_6h', 'hour_sin', 'PM10_rolling_mean_12h', 'StationArea_suburban', 'precipitation', 'dt_local', 'PM2.5_rolling_mean_3h', 'wind_u', 'StationArea_rural-nearcity', 'PM2.5_rolling_std_24h', 'StationType_traffic', 'dew_point_2m', 'StationArea_rural', 'relative_humidity_2m', 'PM2.5_rolling_std_12h', 'SiteNumber', 'NO2_rolling_std_3h', 'hour', 'NO2_lag_3h', 'Start', 'NO2_rolling_std_12h', 'NO2_rolling_mean_6h', 'PM10_rolling_std_12h', 'PM10_rolling_std_24h', 'NO2_rolling_mean_12h', 'PM2.5_lag_3h', 'PM2.5_rolling_mean_12h', 'is_weekend', 'PM2.5_rolling_mean_24h', 'PM10_lag_3h', 'month_sin', 'PM10_lag_2h', 'hour_cos', 'NO2_lag_1h', 'PM10_lag_168h', 'NO2_lag_12h', 'NO2_lag_168h', 'surface_pressure', 'PM10_rolling_mean_6h', 'NO2_rolling_std_6h', 'day_of_week', 'NO2', 'PM10_lag_6h', 'month', 'PM2.5_lag_1h', 'PM2.5_rolling_std_6h', 'day_of_month', 'PM2.5', 'PM10_lag_24h', 'PM2.5_lag_168h', 'year', 'temperature_2m', 'NO2_rolling_std_24h', 'month_cos'}).

This happened while the csv dataset builder was generating data using

hf://datasets/cosuleabianca/eea-pm25-forecasting/site_metadata.csv (at revision 4d4ff241ac74b2bfa41bc684565a1ecc521eec37), [/tmp/hf-datasets-cache/medium/datasets/22801145628099-config-parquet-and-info-cosuleabianca-eea-pm25-fo-e32428c0/hub/datasets--cosuleabianca--eea-pm25-forecasting/snapshots/4d4ff241ac74b2bfa41bc684565a1ecc521eec37/ml_ready_dataset_full_realistic.csv (origin=hf://datasets/cosuleabianca/eea-pm25-forecasting@4d4ff241ac74b2bfa41bc684565a1ecc521eec37/ml_ready_dataset_full_realistic.csv), /tmp/hf-datasets-cache/medium/datasets/22801145628099-config-parquet-and-info-cosuleabianca-eea-pm25-fo-e32428c0/hub/datasets--cosuleabianca--eea-pm25-forecasting/snapshots/4d4ff241ac74b2bfa41bc684565a1ecc521eec37/site_metadata.csv (origin=hf://datasets/cosuleabianca/eea-pm25-forecasting@4d4ff241ac74b2bfa41bc684565a1ecc521eec37/site_metadata.csv)]

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 1887, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 674, 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
              B-G Namespace: string
              Year: int64
              Air Quality Network: string
              Air Quality Network Name: string
              Timezone: string
              Air Quality Station EoI Code: string
              Air Quality Station Nat Code: string
              Air Quality Station Name: string
              Sampling Point Id: string
              Air Pollutant: string
              Longitude: double
              Latitude: double
              Altitude: double
              Altitude Unit: string
              Air Quality Station Area: string
              Air Quality Station Type: string
              Operational Activity Begin: string
              Operational Activity End: string
              Sample Id: string
              Inlet Height: double
              Inlet Height Unit: string
              Building Distance: double
              Building Distance Unit: string
              Kerb Distance: double
              Kerb Distance Unit: string
              Distance Source: double
              Distance Source Unit: string
              Main Emission Sources: string
              Heating Emissions: double
              Heating Emissions Unit: string
              Mobile: int64
              Traffic Emissions: double
              Traffic Emissions Unit: string
              Industrial Emissions: double
              Industrial Emissions Unit: string
              Municipality: string
              Dispersion Local: string
              Dispersion Regional: string
              Distance Junction: double
              Distance Junction Unit: double
              Heavy Duty Fraction: double
              Height Facades: double
              Street Width: double
              Traffic Speed: double
              Traffic Volume: double
              Process Id: string
              Process Activity Begin: string
              Process Activity End: string
              Measurement Type: string
              Measurement Method: string
              Other Measurement Method: string
              Measurement Equipment: string
              Other Measurement Equipment: string
              Sampling Method: string
              Other Sampling Method: double
              Analytical Technique: string
              Other Analytical Technique: double
              Equivalence Demonstrated: string
              Demonstration Report: string
              Detection Limit: double
              Detection Limit Unit: string
              Documentation: string
              QA Report: string
              Duration: int64
              Duration Unit: string
              Cadence: int64
              Cadence Unit: string
              Source Data URL: string
              Imported: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 9623
              to
              {'Start': Value('string'), 'Country': Value('string'), 'SiteNumber': Value('string'), 'Latitude': Value('float64'), 'Longitude': Value('float64'), 'Altitude': Value('float64'), 'StationType_background': Value('bool'), 'StationType_industrial': Value('bool'), 'StationType_traffic': Value('bool'), 'StationArea_rural': Value('bool'), 'StationArea_rural-nearcity': Value('bool'), 'StationArea_suburban': Value('bool'), 'StationArea_urban': Value('bool'), 'PM2.5': Value('float64'), 'NO2': Value('float64'), 'PM10': Value('float64'), 'dt_utc': Value('string'), 'dt_local': Value('string'), 'temperature_2m': Value('float64'), 'relative_humidity_2m': Value('float64'), 'dew_point_2m': Value('float64'), 'precipitation': Value('float64'), 'surface_pressure': Value('float64'), 'wind_u': Value('float64'), 'wind_v': Value('float64'), 'hour': Value('int64'), 'day_of_week': Value('int64'), 'day_of_month': Value('int64'), 'month': Value('int64'), 'year': Value('int64'), 'is_weekend': Value('int64'), 'season': Value('string'), 'hour_sin': Value('float64'), 'hour_cos': Value('float64'), 'month_sin': Value('float64'), 'month_cos': Value('float64'), 'PM2.5_lag_1h': Value('float64'), 'PM2.5_lag_2h': Value('float64'), 'PM2.5_lag_3h': Value('float64'), 'PM2.5_lag_6h': Value('float64'), 'PM2.5_lag_12h': Value('float64'), 'PM2.5_lag_24h': Value('float64'), 'PM2.5_lag_168h': Value('float64'), 'NO2_lag_1h': Value('float64'), 'NO2_lag_2h': Value('float64'), 'NO2_lag_3h': Value('float64'), 'NO2_lag_6h': Value('float64'), 'NO2_lag_12h': Value('float64'), 'NO2_lag_24h': Value('float64'), 'NO2_lag_168h': Value('float64'), 'PM10_lag_1h': Value('float64'), 'PM10_lag_2h': Value('float64'), 'PM10_lag_3h': Value('float64'), 'PM10_lag_6h': Value('float64'), 'PM10_lag_12h': Value('float64'), 'PM10_lag_24h': Value('float64'), 'PM10_lag_168h': Value('float64'), 'PM2.5_rolling_mean_3h': Value('float64'), 'PM2.5_rolling_std_3h': Value('float64'), 'PM2.5_rolling_mean_6h': Value('float64'), 'PM2.5_rolling_std_6h': Value('float64'), 'PM2.5_rolling_mean_12h': Value('float64'), 'PM2.5_rolling_std_12h': Value('float64'), 'PM2.5_rolling_mean_24h': Value('float64'), 'PM2.5_rolling_std_24h': Value('float64'), 'NO2_rolling_mean_3h': Value('float64'), 'NO2_rolling_std_3h': Value('float64'), 'NO2_rolling_mean_6h': Value('float64'), 'NO2_rolling_std_6h': Value('float64'), 'NO2_rolling_mean_12h': Value('float64'), 'NO2_rolling_std_12h': Value('float64'), 'NO2_rolling_mean_24h': Value('float64'), 'NO2_rolling_std_24h': Value('float64'), 'PM10_rolling_mean_3h': Value('float64'), 'PM10_rolling_std_3h': Value('float64'), 'PM10_rolling_mean_6h': Value('float64'), 'PM10_rolling_std_6h': Value('float64'), 'PM10_rolling_mean_12h': Value('float64'), 'PM10_rolling_std_12h': Value('float64'), 'PM10_rolling_mean_24h': Value('float64'), 'PM10_rolling_std_24h': 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 1347, 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 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1736, 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 1889, 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 66 new columns ({'Air Quality Station Type', 'Detection Limit Unit', 'Cadence Unit', 'Documentation', 'Air Quality Station EoI Code', 'Air Quality Network Name', 'Altitude Unit', 'QA Report', 'Distance Junction Unit', 'Other Measurement Equipment', 'Other Measurement Method', 'Municipality', 'Measurement Method', 'Traffic Speed', 'Building Distance Unit', 'Distance Source', 'Source Data URL', 'Street Width', 'Operational Activity End', 'Kerb Distance Unit', 'Process Id', 'Dispersion Local', 'Imported', 'Air Pollutant', 'Sample Id', 'Inlet Height Unit', 'Duration', 'Building Distance', 'Traffic Emissions Unit', 'Operational Activity Begin', 'Other Analytical Technique', 'B-G Namespace', 'Timezone', 'Sampling Method', 'Analytical Technique', 'Height Facades', 'Measurement Equipment', 'Distance Junction', 'Dispersion Regional', 'Heavy Duty Fraction', 'Industrial Emissions Unit', 'Inlet Height', 'Kerb Distance', 'Detection Limit', 'Duration Unit', 'Air Quality Network', 'Heating Emissions Unit', 'Year', 'Air Quality Station Name', 'Main Emission Sources', 'Traffic Emissions', 'Process Activity End', 'Process Activity Begin', 'Sampling Point Id', 'Heating Emissions', 'Industrial Emissions', 'Measurement Type', 'Air Quality Station Area', 'Traffic Volume', 'Distance Source Unit', 'Cadence', 'Demonstration Report', 'Equivalence Demonstrated', 'Air Quality Station Nat Code', 'Mobile', 'Other Sampling Method'}) and 77 missing columns ({'PM10_rolling_mean_24h', 'PM10_rolling_std_3h', 'PM2.5_lag_6h', 'PM10_rolling_mean_3h', 'PM2.5_lag_24h', 'PM2.5_rolling_mean_6h', 'StationType_industrial', 'PM2.5_lag_12h', 'PM10', 'PM10_lag_12h', 'PM2.5_lag_2h', 'NO2_lag_2h', 'PM10_lag_1h', 'StationType_background', 'NO2_rolling_mean_24h', 'NO2_lag_24h', 'StationArea_urban', 'NO2_lag_6h', 'wind_v', 'PM2.5_rolling_std_3h', 'season', 'NO2_rolling_mean_3h', 'dt_utc', 'PM10_rolling_std_6h', 'hour_sin', 'PM10_rolling_mean_12h', 'StationArea_suburban', 'precipitation', 'dt_local', 'PM2.5_rolling_mean_3h', 'wind_u', 'StationArea_rural-nearcity', 'PM2.5_rolling_std_24h', 'StationType_traffic', 'dew_point_2m', 'StationArea_rural', 'relative_humidity_2m', 'PM2.5_rolling_std_12h', 'SiteNumber', 'NO2_rolling_std_3h', 'hour', 'NO2_lag_3h', 'Start', 'NO2_rolling_std_12h', 'NO2_rolling_mean_6h', 'PM10_rolling_std_12h', 'PM10_rolling_std_24h', 'NO2_rolling_mean_12h', 'PM2.5_lag_3h', 'PM2.5_rolling_mean_12h', 'is_weekend', 'PM2.5_rolling_mean_24h', 'PM10_lag_3h', 'month_sin', 'PM10_lag_2h', 'hour_cos', 'NO2_lag_1h', 'PM10_lag_168h', 'NO2_lag_12h', 'NO2_lag_168h', 'surface_pressure', 'PM10_rolling_mean_6h', 'NO2_rolling_std_6h', 'day_of_week', 'NO2', 'PM10_lag_6h', 'month', 'PM2.5_lag_1h', 'PM2.5_rolling_std_6h', 'day_of_month', 'PM2.5', 'PM10_lag_24h', 'PM2.5_lag_168h', 'year', 'temperature_2m', 'NO2_rolling_std_24h', 'month_cos'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/cosuleabianca/eea-pm25-forecasting/site_metadata.csv (at revision 4d4ff241ac74b2bfa41bc684565a1ecc521eec37), [/tmp/hf-datasets-cache/medium/datasets/22801145628099-config-parquet-and-info-cosuleabianca-eea-pm25-fo-e32428c0/hub/datasets--cosuleabianca--eea-pm25-forecasting/snapshots/4d4ff241ac74b2bfa41bc684565a1ecc521eec37/ml_ready_dataset_full_realistic.csv (origin=hf://datasets/cosuleabianca/eea-pm25-forecasting@4d4ff241ac74b2bfa41bc684565a1ecc521eec37/ml_ready_dataset_full_realistic.csv), /tmp/hf-datasets-cache/medium/datasets/22801145628099-config-parquet-and-info-cosuleabianca-eea-pm25-fo-e32428c0/hub/datasets--cosuleabianca--eea-pm25-forecasting/snapshots/4d4ff241ac74b2bfa41bc684565a1ecc521eec37/site_metadata.csv (origin=hf://datasets/cosuleabianca/eea-pm25-forecasting@4d4ff241ac74b2bfa41bc684565a1ecc521eec37/site_metadata.csv)]
              
              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)