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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 30 new columns ({'G_t', 'S_t_lag3', 'G_t_lag3', 'S_t', 'MA5_S', 'DeltaS', 'G_t_lag2', 'sigma_t_lag3', 'r_t', 'RSUM10_V', 'RSTD5_S', 'V_t', 'sigmaG_t', 'sigma_t_lag1', 'RSUM5_V', 'vol20_t', 'S_t_lag1', 'G_t_lag1', 'sigma_t', 'sigma_t_lag2', 'y_t', 'V_t_lag2', 'MA20_S', 'RSTD10_S', 'date', 'S_t_lag2', 'logV_t', 'AI_t', 'V_t_lag1', 'V_t_lag3'}) and 3 missing columns ({'close', 'time', 'Volume'}).

This happened while the csv dataset builder was generating data using

hf://datasets/RichardVR/GDELT_Alpha_and_Trading_Strategy/2020/ml_daily_dataset.csv (at revision ce5a7a887c09e813d8a5166f25998b3e4b7e0993)

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
              date: string
              S_t: double
              sigma_t: double
              V_t: int64
              G_t: double
              sigmaG_t: double
              logV_t: double
              AI_t: double
              S_t_lag1: double
              sigma_t_lag1: double
              V_t_lag1: double
              G_t_lag1: double
              S_t_lag2: double
              sigma_t_lag2: double
              V_t_lag2: double
              G_t_lag2: double
              S_t_lag3: double
              sigma_t_lag3: double
              V_t_lag3: double
              G_t_lag3: double
              MA5_S: double
              MA20_S: double
              DeltaS: double
              RSTD5_S: double
              RSTD10_S: double
              RSUM5_V: double
              RSUM10_V: double
              r_t: double
              vol20_t: double
              y_t: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 3694
              to
              {'time': Value('string'), 'close': Value('float64'), 'Volume': 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 1456, 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 1055, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 894, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 970, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                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 30 new columns ({'G_t', 'S_t_lag3', 'G_t_lag3', 'S_t', 'MA5_S', 'DeltaS', 'G_t_lag2', 'sigma_t_lag3', 'r_t', 'RSUM10_V', 'RSTD5_S', 'V_t', 'sigmaG_t', 'sigma_t_lag1', 'RSUM5_V', 'vol20_t', 'S_t_lag1', 'G_t_lag1', 'sigma_t', 'sigma_t_lag2', 'y_t', 'V_t_lag2', 'MA20_S', 'RSTD10_S', 'date', 'S_t_lag2', 'logV_t', 'AI_t', 'V_t_lag1', 'V_t_lag3'}) and 3 missing columns ({'close', 'time', 'Volume'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/RichardVR/GDELT_Alpha_and_Trading_Strategy/2020/ml_daily_dataset.csv (at revision ce5a7a887c09e813d8a5166f25998b3e4b7e0993)
              
              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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time string	close float64	Volume int64
2019-12-20	2.806	53,801
2019-12-23	2.8085	41,191
2019-12-24	2.8275	39,233
2019-12-26	2.849	33,112
2019-12-27	2.8295	52,671
2019-12-30	2.8335	46,907
2019-12-31	2.797	42,720
2020-01-02	2.825	72,462
2020-01-03	2.787	74,747
2020-01-06	2.79	59,574
2020-01-07	2.7935	59,467
2020-01-08	2.812	77,701
2020-01-09	2.802	53,120
2020-01-10	2.8135	60,791
2020-01-13	2.861	73,100
2020-01-14	2.8735	74,973
2020-01-15	2.866	55,199
2020-01-16	2.847	73,552
2020-01-17	2.8455	59,519
2020-01-21	2.7935	103,873
2020-01-22	2.765	71,187
2020-01-23	2.726	88,850
2020-01-24	2.684	72,573
2020-01-27	2.5965	118,990
2020-01-28	2.5795	100,472
2020-01-29	2.554	87,185
2020-01-30	2.524	99,807
2020-01-31	2.517	97,987
2020-02-03	2.507	132,097
2020-02-04	2.542	107,811
2020-02-05	2.5745	118,897
2020-02-06	2.593	99,305
2020-02-07	2.553	99,558
2020-02-10	2.5505	94,798
2020-02-11	2.583	88,486
2020-02-12	2.6	76,507
2020-02-13	2.613	98,112
2020-02-14	2.5995	62,129
2020-02-18	2.604	117,371
2020-02-19	2.606	95,836
2020-02-20	2.588	86,782
2020-02-21	2.608	103,132
2020-02-24	2.577	98,822
2020-02-25	2.578	78,488
2020-02-26	2.5725	65,062
2020-02-27	2.5715	110,451
2020-02-28	2.54	130,451
2020-03-02	2.595	106,887
2020-03-03	2.573	100,564
2020-03-04	2.586	58,219
2020-03-05	2.573	62,318
2020-03-06	2.5605	99,174
2020-03-09	2.5105	120,968
2020-03-10	2.5215	93,797
2020-03-11	2.502	74,673
2020-03-12	2.4725	116,117
2020-03-13	2.464	124,913
2020-03-16	2.3925	114,108
2020-03-17	2.3135	101,646
2020-03-18	2.151	105,933
2020-03-19	2.1855	101,067
2020-03-20	2.1715	88,783
2020-03-23	2.1005	84,924
2020-03-24	2.18	91,039
2020-03-25	2.204	74,583
2020-03-26	2.178	60,756
2020-03-27	2.172	54,310
2020-03-30	2.1555	49,844
2020-03-31	2.228	61,815
2020-04-01	2.1745	54,631
2020-04-02	2.2185	62,097
2020-04-03	2.1925	45,869
2020-04-06	2.2175	42,849
2020-04-07	2.2725	82,921
2020-04-08	2.26	67,085
2020-04-09	2.2595	62,382
2020-04-13	2.3025	56,786
2020-04-14	2.3295	62,840
2020-04-15	2.296	44,545
2020-04-16	2.291	37,843
2020-04-17	2.3445	51,926
2020-04-20	2.32	52,905
2020-04-21	2.2295	94,981
2020-04-22	2.29	54,995
2020-04-23	2.312	49,329
2020-04-24	2.337	38,437
2020-04-27	2.35	41,385
2020-04-28	2.3455	26,351
2020-04-29	2.3705	46,811
2020-04-30	2.344	52,269
2020-05-01	2.312	42,859
2020-05-04	2.3125	30,433
2020-05-05	2.3325	38,374
2020-05-06	2.347	45,058
2020-05-07	2.3805	52,220
2020-05-08	2.406	34,749
2020-05-11	2.38	59,013
2020-05-12	2.359	48,168
2020-05-13	2.346	43,795
2020-05-14	2.346	53,809

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