Datasets:

NeuML
/

baseballdata

License:

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train

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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 10 new columns ({'GS', 'PO', 'PB', 'DP', 'E', 'A', 'POS', 'InnOuts', 'ZR', 'WP'}) and 14 missing columns ({'SO', 'H', '2B', 'SF', '3B', 'HR', 'IBB', 'RBI', 'AB', 'R', 'HBP', 'BB', 'SH', 'GIDP'}).

This happened while the csv dataset builder was generating data using

hf://datasets/NeuML/baseballdata/Fielding.csv (at revision 797cbe5b0cde85d30d40d785ce625c996caff9d3)

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
              playerID: string
              yearID: int64
              stint: int64
              teamID: string
              lgID: string
              POS: string
              G: int64
              GS: double
              InnOuts: double
              PO: double
              A: double
              E: double
              DP: double
              PB: double
              WP: double
              SB: double
              CS: double
              ZR: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2181
              to
              {'playerID': Value('string'), 'yearID': Value('int64'), 'stint': Value('int64'), 'teamID': Value('string'), 'lgID': Value('string'), 'G': Value('int64'), 'AB': Value('int64'), 'R': Value('int64'), 'H': Value('int64'), '2B': Value('int64'), '3B': Value('int64'), 'HR': Value('int64'), 'RBI': Value('float64'), 'SB': Value('float64'), 'CS': Value('float64'), 'BB': Value('int64'), 'SO': Value('float64'), 'IBB': Value('float64'), 'HBP': Value('float64'), 'SH': Value('float64'), 'SF': Value('float64'), 'GIDP': 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 1339, 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 972, 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 10 new columns ({'GS', 'PO', 'PB', 'DP', 'E', 'A', 'POS', 'InnOuts', 'ZR', 'WP'}) and 14 missing columns ({'SO', 'H', '2B', 'SF', '3B', 'HR', 'IBB', 'RBI', 'AB', 'R', 'HBP', 'BB', 'SH', 'GIDP'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/NeuML/baseballdata/Fielding.csv (at revision 797cbe5b0cde85d30d40d785ce625c996caff9d3)
              
              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.

playerID string	yearID int64	stint int64	teamID string	lgID string	G int64	AB int64	R int64	H int64	2B int64	3B int64	HR int64	RBI float64	SB float64	CS float64	BB int64	SO float64	IBB float64	HBP float64	SH float64	SF float64	GIDP float64
aardsda01	2,004	1	SFN	NL	11	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
aardsda01	2,006	1	CHN	NL	45	2	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0
aardsda01	2,007	1	CHA	AL	25	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
aardsda01	2,008	1	BOS	AL	47	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0
aardsda01	2,009	1	SEA	AL	73	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
aardsda01	2,010	1	SEA	AL	53	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
aardsda01	2,012	1	NYA	AL	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
aardsda01	2,013	1	NYN	NL	43	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
aardsda01	2,015	1	ATL	NL	33	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0
aaronha01	1,954	1	ML1	NL	122	468	58	131	27	6	13	69	2	2	28	39	null	3	6	4	13
aaronha01	1,955	1	ML1	NL	153	602	105	189	37	9	27	106	3	1	49	61	5	3	7	4	20
aaronha01	1,956	1	ML1	NL	153	609	106	200	34	14	26	92	2	4	37	54	6	2	5	7	21
aaronha01	1,957	1	ML1	NL	151	615	118	198	27	6	44	132	1	1	57	58	15	0	0	3	13
aaronha01	1,958	1	ML1	NL	153	601	109	196	34	4	30	95	4	1	59	49	16	1	0	3	21
aaronha01	1,959	1	ML1	NL	154	629	116	223	46	7	39	123	8	0	51	54	17	4	0	9	19
aaronha01	1,960	1	ML1	NL	153	590	102	172	20	11	40	126	16	7	60	63	13	2	0	12	8
aaronha01	1,961	1	ML1	NL	155	603	115	197	39	10	34	120	21	9	56	64	20	2	1	9	16
aaronha01	1,962	1	ML1	NL	156	592	127	191	28	6	45	128	15	7	66	73	14	3	0	6	14
aaronha01	1,963	1	ML1	NL	161	631	121	201	29	4	44	130	31	5	78	94	18	0	0	5	11
aaronha01	1,964	1	ML1	NL	145	570	103	187	30	2	24	95	22	4	62	46	9	0	0	2	22
aaronha01	1,965	1	ML1	NL	150	570	109	181	40	1	32	89	24	4	60	81	10	1	0	8	15
aaronha01	1,966	1	ATL	NL	158	603	117	168	23	1	44	127	21	3	76	96	15	1	0	8	14
aaronha01	1,967	1	ATL	NL	155	600	113	184	37	3	39	109	17	6	63	97	19	0	0	6	11
aaronha01	1,968	1	ATL	NL	160	606	84	174	33	4	29	86	28	5	64	62	23	1	0	5	21
aaronha01	1,969	1	ATL	NL	147	547	100	164	30	3	44	97	9	10	87	47	19	2	0	3	14
aaronha01	1,970	1	ATL	NL	150	516	103	154	26	1	38	118	9	0	74	63	15	2	0	6	13
aaronha01	1,971	1	ATL	NL	139	495	95	162	22	3	47	118	1	1	71	58	21	2	0	5	9
aaronha01	1,972	1	ATL	NL	129	449	75	119	10	0	34	77	4	0	92	55	15	1	0	2	17
aaronha01	1,973	1	ATL	NL	120	392	84	118	12	1	40	96	1	1	68	51	13	1	0	4	7
aaronha01	1,974	1	ATL	NL	112	340	47	91	16	0	20	69	1	0	39	29	6	0	1	2	6
aaronha01	1,975	1	ML4	AL	137	465	45	109	16	2	12	60	0	1	70	51	3	1	1	6	15
aaronha01	1,976	1	ML4	AL	85	271	22	62	8	0	10	35	0	1	35	38	1	0	0	2	8
aaronto01	1,962	1	ML1	NL	141	334	54	77	20	2	8	38	6	0	41	58	0	0	4	3	10
aaronto01	1,963	1	ML1	NL	72	135	6	27	6	1	1	15	0	3	11	27	1	0	3	2	7
aaronto01	1,965	1	ML1	NL	8	16	1	3	0	0	0	1	0	0	1	2	0	0	0	0	1
aaronto01	1,968	1	ATL	NL	98	283	21	69	10	3	1	25	3	4	21	37	1	0	2	1	9
aaronto01	1,969	1	ATL	NL	49	60	13	15	2	0	1	5	0	1	6	6	0	0	0	0	1
aaronto01	1,970	1	ATL	NL	44	63	3	13	2	0	2	7	0	0	3	10	0	0	0	0	5
aaronto01	1,971	1	ATL	NL	25	53	4	12	2	0	0	3	0	0	3	5	1	0	0	0	3
aasedo01	1,977	1	BOS	AL	13	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
aasedo01	1,978	1	CAL	AL	29	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
aasedo01	1,979	1	CAL	AL	37	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
aasedo01	1,980	1	CAL	AL	40	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
aasedo01	1,981	1	CAL	AL	39	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
aasedo01	1,982	1	CAL	AL	24	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
aasedo01	1,984	1	CAL	AL	23	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
aasedo01	1,985	1	BAL	AL	54	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
aasedo01	1,986	1	BAL	AL	66	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
aasedo01	1,987	1	BAL	AL	7	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
aasedo01	1,988	1	BAL	AL	35	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
aasedo01	1,989	1	NYN	NL	49	5	0	0	0	0	0	0	0	0	0	3	0	0	0	0	0
aasedo01	1,990	1	LAN	NL	32	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
abadan01	2,001	1	OAK	AL	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
abadan01	2,003	1	BOS	AL	9	17	1	2	0	0	0	0	0	1	2	5	0	0	0	0	1
abadan01	2,006	1	CIN	NL	5	3	0	0	0	0	0	0	0	0	2	0	0	0	0	0	0
abadfe01	2,010	1	HOU	NL	22	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0
abadfe01	2,011	1	HOU	NL	29	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
abadfe01	2,012	1	HOU	NL	37	7	0	1	0	0	0	0	0	0	0	3	0	0	0	0	1
abadfe01	2,013	1	WAS	NL	39	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
abadfe01	2,014	1	OAK	AL	69	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
abadfe01	2,015	1	OAK	AL	62	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
abadfe01	2,016	1	MIN	AL	39	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0
abadfe01	2,016	2	BOS	AL	18	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
abadfe01	2,017	1	BOS	AL	48	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
abadfe01	2,019	1	SFN	NL	21	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
abadfe01	2,021	1	BAL	AL	16	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
abadfe01	2,023	1	COL	NL	6	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
abadijo01	1,875	1	PH3	null	11	45	3	10	0	0	0	4	1	0	0	3	null	null	null	null	0
abadijo01	1,875	2	BR2	null	1	4	1	1	0	0	0	1	0	0	0	0	null	null	null	null	0
abbated01	1,897	1	PHI	NL	3	10	0	3	0	0	0	0	0	null	1	2	null	0	0	null	null
abbated01	1,898	1	PHI	NL	25	92	9	21	4	0	0	14	4	null	7	15	null	1	2	null	null
abbated01	1,903	1	BSN	NL	136	489	61	111	18	5	1	46	23	null	52	36	null	4	17	null	null
abbated01	1,904	1	BSN	NL	154	579	76	148	18	10	3	54	24	null	40	55	null	5	13	null	null
abbated01	1,905	1	BSN	NL	153	610	70	170	25	12	3	41	30	null	35	51	null	8	5	null	null
abbated01	1,907	1	PIT	NL	147	496	63	130	14	7	2	82	35	null	65	48	null	8	22	null	null
abbated01	1,908	1	PIT	NL	146	500	43	125	16	7	1	61	22	null	58	49	null	7	25	null	null
abbated01	1,909	1	PIT	NL	36	87	13	20	0	0	1	16	2	null	19	11	null	0	1	null	null
abbated01	1,910	1	PIT	NL	3	3	0	0	0	0	0	0	0	null	0	0	null	0	0	null	null
abbated01	1,910	2	BSN	NL	52	178	20	44	4	2	0	10	2	null	12	16	null	0	8	null	null
abbeybe01	1,892	1	WAS	NL	27	75	5	9	1	0	0	3	2	null	9	27	null	0	null	null	null
abbeybe01	1,893	1	CHN	NL	7	26	2	6	1	0	0	2	0	null	2	3	null	0	null	null	null
abbeybe01	1,894	1	CHN	NL	11	39	3	5	0	0	0	4	1	null	2	7	null	0	2	null	null
abbeybe01	1,895	1	CHN	NL	1	3	0	1	0	0	0	0	0	null	0	0	null	0	0	null	null
abbeybe01	1,895	2	BRO	NL	8	19	4	5	0	1	0	1	0	null	2	4	null	0	0	null	null
abbeybe01	1,896	1	BRO	NL	25	63	7	12	1	2	0	7	0	null	6	13	null	0	4	null	null
abbeych01	1,893	1	WAS	NL	31	116	11	30	1	4	0	12	9	null	12	6	null	1	null	null	null
abbeych01	1,894	1	WAS	NL	129	523	95	164	26	18	7	101	31	null	58	38	null	7	1	null	null
abbeych01	1,895	1	WAS	NL	133	516	102	142	14	10	8	84	28	null	43	43	null	7	5	null	null
abbeych01	1,896	1	WAS	NL	79	301	47	79	12	6	1	49	16	null	27	20	null	4	10	null	null
abbeych01	1,897	1	WAS	NL	80	300	52	78	14	8	3	34	9	null	27	15	null	4	3	null	null
abbotan01	2,023	1	CIN	NL	21	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
abbotan01	2,024	1	CIN	NL	25	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
abbotan01	2,025	1	CIN	NL	29	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
abbotco01	2,021	1	CHN	NL	8	3	0	1	0	0	0	0	0	0	0	1	0	0	0	0	0
abbotco01	2,022	1	WAS	NL	16	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
abbotco01	2,023	1	WAS	NL	22	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
abbotda01	1,890	1	TL2	AA	3	7	0	1	0	1	0	1	1	null	0	null	null	0	null	null	null
abbotfr01	1,903	1	CLE	AL	77	255	25	60	11	3	1	25	8	null	7	25	null	5	9	null	null
abbotfr01	1,904	1	CLE	AL	41	130	14	22	4	2	0	12	2	null	6	27	null	0	5	null	null
abbotfr01	1,905	1	PHI	NL	42	128	9	25	6	1	0	12	4	null	6	23	null	3	6	null	null

End of preview.

Baseball Data

This is a copy of the Lahman Baseball Database.

Last Update: Version 2025, released January 2, 2026

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