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The dataset generation failed because of a cast error
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 ({'erreur_absolue', 'taux_pred', 'residual_pred'}) and 1 missing columns ({'datetime'}).

This happened while the csv dataset builder was generating data using

hf://datasets/voroman/velib-ml-data/test_avec_predictions.csv (at revision 3977d468f7577a5081527d88ec3eb85c826effaf), [/tmp/hf-datasets-cache/medium/datasets/87798707416804-config-parquet-and-info-voroman-velib-ml-data-80a55458/hub/datasets--voroman--velib-ml-data/snapshots/3977d468f7577a5081527d88ec3eb85c826effaf/test_avec_predictions.csv (origin=hf://datasets/voroman/velib-ml-data@3977d468f7577a5081527d88ec3eb85c826effaf/test_avec_predictions.csv), /tmp/hf-datasets-cache/medium/datasets/87798707416804-config-parquet-and-info-voroman-velib-ml-data-80a55458/hub/datasets--voroman--velib-ml-data/snapshots/3977d468f7577a5081527d88ec3eb85c826effaf/test_preprocessed.csv (origin=hf://datasets/voroman/velib-ml-data@3977d468f7577a5081527d88ec3eb85c826effaf/test_preprocessed.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 1800, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              station_id: int64
              hour: int64
              day_of_week: int64
              month: int64
              hour_sin: double
              hour_cos: double
              dow_sin: double
              dow_cos: double
              is_holiday: int64
              is_vacation: int64
              apparent_temperature: double
              weather_severity: int64
              is_frozen: int64
              is_stormy: int64
              capacity: int64
              lag_60min: double
              lag_240min: double
              is_peak_hour: int64
              is_friday_evening: int64
              is_monday_morning: int64
              capacity_status_calc: double
              temp_anomalie: double
              morning_evening_ratio: double
              capacity_group: int64
              station_trend_avg: double
              lag_res_240min: double
              residual: double
              residual_pred: double
              taux_pred: double
              erreur_absolue: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 3939
              to
              {'datetime': Value('string'), 'station_id': Value('int64'), 'hour': Value('int64'), 'day_of_week': Value('int64'), 'month': Value('int64'), 'hour_sin': Value('float64'), 'hour_cos': Value('float64'), 'dow_sin': Value('float64'), 'dow_cos': Value('float64'), 'is_holiday': Value('int64'), 'is_vacation': Value('int64'), 'apparent_temperature': Value('float64'), 'weather_severity': Value('int64'), 'is_frozen': Value('int64'), 'is_stormy': Value('int64'), 'capacity': Value('int64'), 'lag_60min': Value('float64'), 'lag_240min': Value('float64'), 'is_peak_hour': Value('int64'), 'is_friday_evening': Value('int64'), 'is_monday_morning': Value('int64'), 'capacity_status_calc': Value('float64'), 'temp_anomalie': Value('float64'), 'morning_evening_ratio': Value('float64'), 'capacity_group': Value('int64'), 'station_trend_avg': Value('float64'), 'lag_res_240min': Value('float64'), 'residual': 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 882, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, 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 1802, 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 ({'erreur_absolue', 'taux_pred', 'residual_pred'}) and 1 missing columns ({'datetime'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/voroman/velib-ml-data/test_avec_predictions.csv (at revision 3977d468f7577a5081527d88ec3eb85c826effaf), [/tmp/hf-datasets-cache/medium/datasets/87798707416804-config-parquet-and-info-voroman-velib-ml-data-80a55458/hub/datasets--voroman--velib-ml-data/snapshots/3977d468f7577a5081527d88ec3eb85c826effaf/test_avec_predictions.csv (origin=hf://datasets/voroman/velib-ml-data@3977d468f7577a5081527d88ec3eb85c826effaf/test_avec_predictions.csv), /tmp/hf-datasets-cache/medium/datasets/87798707416804-config-parquet-and-info-voroman-velib-ml-data-80a55458/hub/datasets--voroman--velib-ml-data/snapshots/3977d468f7577a5081527d88ec3eb85c826effaf/test_preprocessed.csv (origin=hf://datasets/voroman/velib-ml-data@3977d468f7577a5081527d88ec3eb85c826effaf/test_preprocessed.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)

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datetime
string
station_id
int64
hour
int64
day_of_week
int64
month
int64
hour_sin
float64
hour_cos
float64
dow_sin
float64
dow_cos
float64
is_holiday
int64
is_vacation
int64
apparent_temperature
float64
weather_severity
int64
is_frozen
int64
is_stormy
int64
capacity
int64
lag_60min
float64
lag_240min
float64
is_peak_hour
int64
is_friday_evening
int64
is_monday_morning
int64
capacity_status_calc
float64
temp_anomalie
float64
morning_evening_ratio
float64
capacity_group
int64
station_trend_avg
float64
lag_res_240min
float64
residual
float64
2026-03-07 05:49:23.744216+00:00
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2026-03-07 05:50:18.386906+00:00
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2026-03-07 06:29:50.482821+00:00
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2026-03-07 07:38:51.950473+00:00
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2026-03-07 07:55:10.603031+00:00
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2026-03-07 08:52:30.033076+00:00
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2026-03-07 08:54:55.740446+00:00
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2026-03-07 09:21:35.698663+00:00
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2026-03-07 09:25:30.477322+00:00
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2026-03-07 10:19:51.240177+00:00
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2026-03-07 10:28:33.001862+00:00
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2026-03-07 10:44:53.458796+00:00
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2026-03-07 10:49:36.939548+00:00
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2026-03-07 10:59:13.963590+00:00
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2026-03-07 11:24:53.762976+00:00
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2026-03-07 11:43:26.748834+00:00
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2026-03-07 12:30:11.009067+00:00
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2026-03-07 12:42:52.857939+00:00
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2026-03-07 13:22:15.159213+00:00
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2026-03-07 13:28:38.137662+00:00
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2026-03-07 13:55:41.934743+00:00
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2026-03-07 14:17:38.059963+00:00
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2026-03-07 14:21:34.046288+00:00
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2026-03-07 14:44:13.051977+00:00
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2026-03-07 14:48:23.844018+00:00
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2026-03-07 14:58:26.014146+00:00
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2026-03-07 15:00:39.035989+00:00
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2026-03-07 15:24:58.302053+00:00
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2026-03-07 15:35:01.707641+00:00
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2026-03-07 15:43:43.481189+00:00
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2026-03-07 15:51:19.690005+00:00
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2026-03-07 16:22:58.809770+00:00
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2026-03-07 16:25:36.696564+00:00
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2026-03-07 17:01:18.931401+00:00
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2026-03-07 17:10:05.288438+00:00
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2026-03-07 17:33:32.298221+00:00
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2026-03-07 17:36:03.966127+00:00
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2026-03-07 17:51:15.833720+00:00
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2026-03-07 17:52:28.508947+00:00
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2026-03-07 18:22:37.179002+00:00
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2026-03-07 18:28:32.308078+00:00
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2026-03-07 18:54:30.865450+00:00
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2026-03-07 18:57:04.320671+00:00
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2026-03-07 19:16:14.257707+00:00
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2026-03-07 19:23:01.651599+00:00
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2026-03-07 19:35:46.215062+00:00
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2026-03-07 19:42:48.951971+00:00
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2026-03-07 19:48:21.004800+00:00
6,245
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2026-03-07 19:56:16.693828+00:00
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2026-03-07 19:56:50.093445+00:00
6,245
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2026-03-07 20:21:12.158809+00:00
6,245
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2026-03-07 20:24:05.989358+00:00
6,245
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2026-03-07 20:45:42.443915+00:00
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2026-03-07 20:47:25.988822+00:00
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2026-03-07 20:58:36.094596+00:00
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2026-03-07 20:59:43.195615+00:00
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2026-03-07 21:22:37.255679+00:00
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2026-03-07 21:29:37.706548+00:00
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2026-03-07 21:41:34.298674+00:00
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2026-03-07 21:46:36.211897+00:00
6,245
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2026-03-07 21:55:02.084595+00:00
6,245
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2026-03-07 21:57:19.930597+00:00
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2026-03-07 22:15:25.660038+00:00
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2026-03-07 22:25:48.123739+00:00
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2026-03-07 22:42:29.691341+00:00
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2026-03-07 22:48:01.734857+00:00
6,245
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2026-03-07 22:58:10.889270+00:00
6,245
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2026-03-07 23:00:10.409499+00:00
6,245
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2026-03-07 23:22:36.819999+00:00
6,245
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2026-03-07 23:31:46.547999+00:00
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2026-03-07 23:42:34.033582+00:00
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2026-03-07 23:52:01.896133+00:00
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2026-03-07 23:56:22.647530+00:00
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2026-03-08 07:28:51.740329+00:00
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2026-03-08 07:43:15.656210+00:00
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2026-03-08 07:51:37.260117+00:00
6,245
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2026-03-08 07:58:12.696401+00:00
6,245
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2026-03-08 08:55:08.729934+00:00
6,245
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6
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2026-03-08 08:58:31.119994+00:00
6,245
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6
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2026-03-08 09:26:16.691758+00:00
6,245
9
6
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0.71
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2026-03-08 09:31:03.088252+00:00
6,245
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6
3
0.71
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2026-03-08 09:52:06.073363+00:00
6,245
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6
3
0.71
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2026-03-08 09:54:46.033267+00:00
6,245
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6
3
0.71
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2026-03-08 10:17:49.047908+00:00
6,245
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6
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0.5
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2026-03-08 10:21:25.551081+00:00
6,245
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6
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2026-03-08 10:45:50.820795+00:00
6,245
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6
3
0.5
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2026-03-08 10:49:58.053423+00:00
6,245
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6
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0.5
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2026-03-08 10:59:39.411536+00:00
6,245
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6
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0.5
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62.5
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2026-03-08 11:01:59.854845+00:00
6,245
11
6
3
0.26
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