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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 49 new columns ({'fumbleOutOfBounds', 'hadRushAttempt', 'wasRunningRoute', 'pressureAllowedAsBlocker', 'forcedFumbleAsDefense', 'routeRan', 'pff_defensiveCoverageAssignment', 'pff_secondaryDefensiveCoverageMatchupNflId', 'nflId', 'wasInitialPassRusher', 'assistedTackle', 'hadInterception', 'fumbleRecoveries', 'teamAbbr', 'timeToPressureAsPassRusher', 'fumbleLost', 'soloTackle', 'motionSinceLineset', 'timeToPressureAllowedAsBlocker', 'fumbles', 'fumbleRecoveryYards', 'rushingYards', 'tackleForALossYardage', 'passDefensed', 'inMotionAtBallSnap', 'hadPassReception', 'shiftSinceLineset', 'blockedPlayerNFLId3', 'passingYards', 'causedPressure', 'yardageGainedAfterTheCatch', 'wasTargettedReceiver', 'safetyAsDefense', 'receivingYards', 'sackYardsAsDefense', 'getOffTimeAsPassRusher', 'interceptionYards', 'penaltyYards', 'penaltyNames', 'playId', 'sackYardsAsOffense', 'blockedPlayerNFLId2', 'hadDropback', 'tackleForALoss', 'quarterbackHit', 'tackleAssist', 'blockedPlayerNFLId1', 'pff_primaryDefensiveCoverageMatchupNflId', 'halfSackYardsAsDefense'}) and 8 missing columns ({'homeTeamAbbr', 'gameDate', 'gameTimeEastern', 'week', 'visitorFinalScore', 'visitorTeamAbbr', 'homeFinalScore', 'season'}).

This happened while the csv dataset builder was generating data using

hf://datasets/ameau01/Big-Data-Bowl-2025/big-data-bowl-data/player_play.csv (at revision 65a26f59784b8632ccb3c8cb45dcb4cb167b9480), ['hf://datasets/ameau01/Big-Data-Bowl-2025@65a26f59784b8632ccb3c8cb45dcb4cb167b9480/big-data-bowl-data/games.csv', 'hf://datasets/ameau01/Big-Data-Bowl-2025@65a26f59784b8632ccb3c8cb45dcb4cb167b9480/big-data-bowl-data/player_play.csv', 'hf://datasets/ameau01/Big-Data-Bowl-2025@65a26f59784b8632ccb3c8cb45dcb4cb167b9480/big-data-bowl-data/players.csv', 'hf://datasets/ameau01/Big-Data-Bowl-2025@65a26f59784b8632ccb3c8cb45dcb4cb167b9480/big-data-bowl-data/plays.csv', 'hf://datasets/ameau01/Big-Data-Bowl-2025@65a26f59784b8632ccb3c8cb45dcb4cb167b9480/big-data-bowl-data/tracking_week_1.csv', 'hf://datasets/ameau01/Big-Data-Bowl-2025@65a26f59784b8632ccb3c8cb45dcb4cb167b9480/big-data-bowl-data/tracking_week_2.csv', 'hf://datasets/ameau01/Big-Data-Bowl-2025@65a26f59784b8632ccb3c8cb45dcb4cb167b9480/big-data-bowl-data/tracking_week_3.csv', 'hf://datasets/ameau01/Big-Data-Bowl-2025@65a26f59784b8632ccb3c8cb45dcb4cb167b9480/big-data-bowl-data/tracking_week_4.csv', 'hf://datasets/ameau01/Big-Data-Bowl-2025@65a26f59784b8632ccb3c8cb45dcb4cb167b9480/big-data-bowl-data/tracking_week_5.csv', 'hf://datasets/ameau01/Big-Data-Bowl-2025@65a26f59784b8632ccb3c8cb45dcb4cb167b9480/big-data-bowl-data/tracking_week_6.csv', 'hf://datasets/ameau01/Big-Data-Bowl-2025@65a26f59784b8632ccb3c8cb45dcb4cb167b9480/big-data-bowl-data/tracking_week_7.csv', 'hf://datasets/ameau01/Big-Data-Bowl-2025@65a26f59784b8632ccb3c8cb45dcb4cb167b9480/big-data-bowl-data/tracking_week_8.csv', 'hf://datasets/ameau01/Big-Data-Bowl-2025@65a26f59784b8632ccb3c8cb45dcb4cb167b9480/big-data-bowl-data/tracking_week_9.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 675, 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
              gameId: int64
              playId: int64
              nflId: int64
              teamAbbr: string
              hadRushAttempt: int64
              rushingYards: int64
              hadDropback: int64
              passingYards: int64
              sackYardsAsOffense: int64
              hadPassReception: int64
              receivingYards: int64
              wasTargettedReceiver: int64
              yardageGainedAfterTheCatch: int64
              fumbles: int64
              fumbleLost: int64
              fumbleOutOfBounds: int64
              assistedTackle: int64
              forcedFumbleAsDefense: int64
              halfSackYardsAsDefense: int64
              passDefensed: int64
              quarterbackHit: int64
              sackYardsAsDefense: int64
              safetyAsDefense: int64
              soloTackle: int64
              tackleAssist: int64
              tackleForALoss: int64
              tackleForALossYardage: int64
              hadInterception: int64
              interceptionYards: int64
              fumbleRecoveries: int64
              fumbleRecoveryYards: int64
              penaltyYards: int64
              penaltyNames: string
              wasInitialPassRusher: double
              causedPressure: bool
              timeToPressureAsPassRusher: double
              getOffTimeAsPassRusher: double
              inMotionAtBallSnap: bool
              shiftSinceLineset: bool
              motionSinceLineset: bool
              wasRunningRoute: double
              routeRan: string
              blockedPlayerNFLId1: double
              blockedPlayerNFLId2: double
              blockedPlayerNFLId3: double
              pressureAllowedAsBlocker: double
              timeToPressureAllowedAsBlocker: double
              pff_defensiveCoverageAssignment: string
              pff_primaryDefensiveCoverageMatchupNflId: double
              pff_secondaryDefensiveCoverageMatchupNflId: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 6863
              to
              {'gameId': Value('int64'), 'season': Value('int64'), 'week': Value('int64'), 'gameDate': Value('string'), 'gameTimeEastern': Value('string'), 'homeTeamAbbr': Value('string'), 'visitorTeamAbbr': Value('string'), 'homeFinalScore': Value('int64'), 'visitorFinalScore': 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 1342, 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 907, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                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 49 new columns ({'fumbleOutOfBounds', 'hadRushAttempt', 'wasRunningRoute', 'pressureAllowedAsBlocker', 'forcedFumbleAsDefense', 'routeRan', 'pff_defensiveCoverageAssignment', 'pff_secondaryDefensiveCoverageMatchupNflId', 'nflId', 'wasInitialPassRusher', 'assistedTackle', 'hadInterception', 'fumbleRecoveries', 'teamAbbr', 'timeToPressureAsPassRusher', 'fumbleLost', 'soloTackle', 'motionSinceLineset', 'timeToPressureAllowedAsBlocker', 'fumbles', 'fumbleRecoveryYards', 'rushingYards', 'tackleForALossYardage', 'passDefensed', 'inMotionAtBallSnap', 'hadPassReception', 'shiftSinceLineset', 'blockedPlayerNFLId3', 'passingYards', 'causedPressure', 'yardageGainedAfterTheCatch', 'wasTargettedReceiver', 'safetyAsDefense', 'receivingYards', 'sackYardsAsDefense', 'getOffTimeAsPassRusher', 'interceptionYards', 'penaltyYards', 'penaltyNames', 'playId', 'sackYardsAsOffense', 'blockedPlayerNFLId2', 'hadDropback', 'tackleForALoss', 'quarterbackHit', 'tackleAssist', 'blockedPlayerNFLId1', 'pff_primaryDefensiveCoverageMatchupNflId', 'halfSackYardsAsDefense'}) and 8 missing columns ({'homeTeamAbbr', 'gameDate', 'gameTimeEastern', 'week', 'visitorFinalScore', 'visitorTeamAbbr', 'homeFinalScore', 'season'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/ameau01/Big-Data-Bowl-2025/big-data-bowl-data/player_play.csv (at revision 65a26f59784b8632ccb3c8cb45dcb4cb167b9480), ['hf://datasets/ameau01/Big-Data-Bowl-2025@65a26f59784b8632ccb3c8cb45dcb4cb167b9480/big-data-bowl-data/games.csv', 'hf://datasets/ameau01/Big-Data-Bowl-2025@65a26f59784b8632ccb3c8cb45dcb4cb167b9480/big-data-bowl-data/player_play.csv', 'hf://datasets/ameau01/Big-Data-Bowl-2025@65a26f59784b8632ccb3c8cb45dcb4cb167b9480/big-data-bowl-data/players.csv', 'hf://datasets/ameau01/Big-Data-Bowl-2025@65a26f59784b8632ccb3c8cb45dcb4cb167b9480/big-data-bowl-data/plays.csv', 'hf://datasets/ameau01/Big-Data-Bowl-2025@65a26f59784b8632ccb3c8cb45dcb4cb167b9480/big-data-bowl-data/tracking_week_1.csv', 'hf://datasets/ameau01/Big-Data-Bowl-2025@65a26f59784b8632ccb3c8cb45dcb4cb167b9480/big-data-bowl-data/tracking_week_2.csv', 'hf://datasets/ameau01/Big-Data-Bowl-2025@65a26f59784b8632ccb3c8cb45dcb4cb167b9480/big-data-bowl-data/tracking_week_3.csv', 'hf://datasets/ameau01/Big-Data-Bowl-2025@65a26f59784b8632ccb3c8cb45dcb4cb167b9480/big-data-bowl-data/tracking_week_4.csv', 'hf://datasets/ameau01/Big-Data-Bowl-2025@65a26f59784b8632ccb3c8cb45dcb4cb167b9480/big-data-bowl-data/tracking_week_5.csv', 'hf://datasets/ameau01/Big-Data-Bowl-2025@65a26f59784b8632ccb3c8cb45dcb4cb167b9480/big-data-bowl-data/tracking_week_6.csv', 'hf://datasets/ameau01/Big-Data-Bowl-2025@65a26f59784b8632ccb3c8cb45dcb4cb167b9480/big-data-bowl-data/tracking_week_7.csv', 'hf://datasets/ameau01/Big-Data-Bowl-2025@65a26f59784b8632ccb3c8cb45dcb4cb167b9480/big-data-bowl-data/tracking_week_8.csv', 'hf://datasets/ameau01/Big-Data-Bowl-2025@65a26f59784b8632ccb3c8cb45dcb4cb167b9480/big-data-bowl-data/tracking_week_9.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)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

gameId int64	season int64	week int64	gameDate string	gameTimeEastern string	homeTeamAbbr string	visitorTeamAbbr string	homeFinalScore int64	visitorFinalScore int64
2,022,090,800	2,022	1	9/8/2022	20:20:00	LA	BUF	10	31
2,022,091,100	2,022	1	9/11/2022	13:00:00	ATL	NO	26	27
2,022,091,101	2,022	1	9/11/2022	13:00:00	CAR	CLE	24	26
2,022,091,102	2,022	1	9/11/2022	13:00:00	CHI	SF	19	10
2,022,091,103	2,022	1	9/11/2022	13:00:00	CIN	PIT	20	23
2,022,091,104	2,022	1	9/11/2022	13:00:00	DET	PHI	35	38
2,022,091,105	2,022	1	9/11/2022	13:00:00	HOU	IND	20	20
2,022,091,106	2,022	1	9/11/2022	13:00:00	MIA	NE	20	7
2,022,091,107	2,022	1	9/11/2022	13:00:00	NYJ	BAL	9	24
2,022,091,109	2,022	1	9/11/2022	13:00:00	WAS	JAX	28	22
2,022,091,110	2,022	1	9/11/2022	16:25:00	ARI	KC	21	44
2,022,091,111	2,022	1	9/11/2022	16:25:00	LAC	LV	24	19
2,022,091,112	2,022	1	9/11/2022	16:25:00	MIN	GB	23	7
2,022,091,108	2,022	1	9/11/2022	16:25:00	TEN	NYG	20	21
2,022,091,113	2,022	1	9/11/2022	20:20:00	DAL	TB	3	19
2,022,091,200	2,022	1	9/12/2022	20:15:00	SEA	DEN	17	16
2,022,091,500	2,022	2	9/15/2022	20:15:00	KC	LAC	27	24
2,022,091,800	2,022	2	9/18/2022	13:00:00	BAL	MIA	38	42
2,022,091,801	2,022	2	9/18/2022	13:00:00	CLE	NYJ	30	31
2,022,091,802	2,022	2	9/18/2022	13:00:00	DET	WAS	36	27
2,022,091,803	2,022	2	9/18/2022	13:00:00	JAX	IND	24	0
2,022,091,804	2,022	2	9/18/2022	13:00:00	NO	TB	10	20
2,022,091,805	2,022	2	9/18/2022	13:00:00	NYG	CAR	19	16
2,022,091,806	2,022	2	9/18/2022	13:00:00	PIT	NE	14	17
2,022,091,807	2,022	2	9/18/2022	16:05:00	LA	ATL	31	27
2,022,091,808	2,022	2	9/18/2022	16:05:00	SF	SEA	27	7
2,022,091,809	2,022	2	9/18/2022	16:25:00	DAL	CIN	20	17
2,022,091,810	2,022	2	9/18/2022	16:25:00	DEN	HOU	16	9
2,022,091,811	2,022	2	9/18/2022	16:25:00	LV	ARI	23	29
2,022,091,812	2,022	2	9/18/2022	20:20:00	GB	CHI	27	10
2,022,091,900	2,022	2	9/19/2022	19:15:00	BUF	TEN	41	7
2,022,091,901	2,022	2	9/19/2022	20:30:00	PHI	MIN	24	7
2,022,092,200	2,022	3	9/22/2022	20:15:00	CLE	PIT	29	17
2,022,092,500	2,022	3	9/25/2022	13:00:00	CAR	NO	22	14
2,022,092,501	2,022	3	9/25/2022	13:00:00	CHI	HOU	23	20
2,022,092,502	2,022	3	9/25/2022	13:00:00	IND	KC	20	17
2,022,092,503	2,022	3	9/25/2022	13:00:00	MIA	BUF	21	19
2,022,092,504	2,022	3	9/25/2022	13:00:00	MIN	DET	28	24
2,022,092,505	2,022	3	9/25/2022	13:00:00	NE	BAL	26	37
2,022,092,506	2,022	3	9/25/2022	13:00:00	NYJ	CIN	12	27
2,022,092,507	2,022	3	9/25/2022	13:00:00	TEN	LV	24	22
2,022,092,508	2,022	3	9/25/2022	13:00:00	WAS	PHI	8	24
2,022,092,509	2,022	3	9/25/2022	16:05:00	LAC	JAX	10	38
2,022,092,510	2,022	3	9/25/2022	16:25:00	ARI	LA	12	20
2,022,092,511	2,022	3	9/25/2022	16:25:00	SEA	ATL	23	27
2,022,092,512	2,022	3	9/25/2022	16:25:00	TB	GB	12	14
2,022,092,513	2,022	3	9/25/2022	20:20:00	DEN	SF	11	10
2,022,092,600	2,022	3	9/26/2022	20:15:00	NYG	DAL	16	23
2,022,092,900	2,022	4	9/29/2022	20:15:00	CIN	MIA	27	15
2,022,100,200	2,022	4	10/2/2022	9:30:00	NO	MIN	25	28
2,022,100,201	2,022	4	10/2/2022	13:00:00	ATL	CLE	23	20
2,022,100,202	2,022	4	10/2/2022	13:00:00	BAL	BUF	20	23
2,022,100,204	2,022	4	10/2/2022	13:00:00	DAL	WAS	25	10
2,022,100,205	2,022	4	10/2/2022	13:00:00	DET	SEA	45	48
2,022,100,206	2,022	4	10/2/2022	13:00:00	HOU	LAC	24	34
2,022,100,207	2,022	4	10/2/2022	13:00:00	IND	TEN	17	24
2,022,100,208	2,022	4	10/2/2022	13:00:00	NYG	CHI	20	12
2,022,100,209	2,022	4	10/2/2022	13:00:00	PHI	JAX	29	21
2,022,100,210	2,022	4	10/2/2022	13:00:00	PIT	NYJ	20	24
2,022,100,203	2,022	4	10/2/2022	16:05:00	CAR	ARI	16	26
2,022,100,211	2,022	4	10/2/2022	16:25:00	GB	NE	27	24
2,022,100,212	2,022	4	10/2/2022	16:25:00	LV	DEN	32	23
2,022,100,213	2,022	4	10/2/2022	20:20:00	TB	KC	31	41
2,022,100,300	2,022	4	10/3/2022	20:15:00	SF	LA	24	9
2,022,100,600	2,022	5	10/6/2022	20:15:00	DEN	IND	9	12
2,022,100,900	2,022	5	10/9/2022	9:30:00	GB	NYG	22	27
2,022,100,901	2,022	5	10/9/2022	13:00:00	BUF	PIT	38	3
2,022,100,902	2,022	5	10/9/2022	13:00:00	CLE	LAC	28	30
2,022,100,903	2,022	5	10/9/2022	13:00:00	JAX	HOU	6	13
2,022,100,904	2,022	5	10/9/2022	13:00:00	MIN	CHI	29	22
2,022,100,905	2,022	5	10/9/2022	13:00:00	NE	DET	29	0
2,022,100,906	2,022	5	10/9/2022	13:00:00	NO	SEA	39	32
2,022,100,907	2,022	5	10/9/2022	13:00:00	NYJ	MIA	40	17
2,022,100,908	2,022	5	10/9/2022	13:00:00	TB	ATL	21	15
2,022,100,909	2,022	5	10/9/2022	13:00:00	WAS	TEN	17	21
2,022,100,910	2,022	5	10/9/2022	16:05:00	CAR	SF	15	37
2,022,100,911	2,022	5	10/9/2022	16:25:00	ARI	PHI	17	20
2,022,100,912	2,022	5	10/9/2022	16:25:00	LA	DAL	10	22
2,022,100,913	2,022	5	10/9/2022	20:20:00	BAL	CIN	19	17
2,022,101,000	2,022	5	10/10/2022	20:15:00	KC	LV	30	29
2,022,101,300	2,022	6	10/13/2022	20:15:00	CHI	WAS	7	12
2,022,101,600	2,022	6	10/16/2022	13:00:00	ATL	SF	28	14
2,022,101,601	2,022	6	10/16/2022	13:00:00	CLE	NE	15	38
2,022,101,602	2,022	6	10/16/2022	13:00:00	GB	NYJ	10	27
2,022,101,603	2,022	6	10/16/2022	13:00:00	IND	JAX	34	27
2,022,101,604	2,022	6	10/16/2022	13:00:00	MIA	MIN	16	24
2,022,101,605	2,022	6	10/16/2022	13:00:00	NO	CIN	26	30
2,022,101,606	2,022	6	10/16/2022	13:00:00	NYG	BAL	24	20
2,022,101,607	2,022	6	10/16/2022	13:00:00	PIT	TB	20	18
2,022,101,608	2,022	6	10/16/2022	16:05:00	LA	CAR	24	10
2,022,101,609	2,022	6	10/16/2022	16:05:00	SEA	ARI	19	9
2,022,101,610	2,022	6	10/16/2022	16:25:00	KC	BUF	20	24
2,022,101,611	2,022	6	10/16/2022	20:20:00	PHI	DAL	26	17
2,022,101,700	2,022	6	10/17/2022	20:15:00	LAC	DEN	19	16
2,022,102,000	2,022	7	10/20/2022	20:15:00	ARI	NO	42	34
2,022,102,300	2,022	7	10/23/2022	13:00:00	BAL	CLE	23	20
2,022,102,301	2,022	7	10/23/2022	13:00:00	CAR	TB	21	3
2,022,102,302	2,022	7	10/23/2022	13:00:00	CIN	ATL	35	17
2,022,102,303	2,022	7	10/23/2022	13:00:00	DAL	DET	24	6
2,022,102,304	2,022	7	10/23/2022	13:00:00	JAX	NYG	17	23

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