Datasets:

DeweyWang
/

ETH_ML4G_Project-2

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Split (2)

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 1 new columns ({'highLevelType'}) and 1 missing columns ({'Unnamed: 0'}).

This happened while the csv dataset builder was generating data using

hf://datasets/DeweyWang/ETH_ML4G_Project-2/train_data/train_bulk_trueprops.csv (at revision 5c2bf1f2b72a8dc983a67de2274bb6beb3f792b3), [/tmp/hf-datasets-cache/medium/datasets/53858690719885-config-parquet-and-info-DeweyWang-ETH_ML4G_Projec-3d0c3822/hub/datasets--DeweyWang--ETH_ML4G_Project-2/snapshots/5c2bf1f2b72a8dc983a67de2274bb6beb3f792b3/train_data/train_bulk.csv (origin=hf://datasets/DeweyWang/ETH_ML4G_Project-2@5c2bf1f2b72a8dc983a67de2274bb6beb3f792b3/train_data/train_bulk.csv), /tmp/hf-datasets-cache/medium/datasets/53858690719885-config-parquet-and-info-DeweyWang-ETH_ML4G_Projec-3d0c3822/hub/datasets--DeweyWang--ETH_ML4G_Project-2/snapshots/5c2bf1f2b72a8dc983a67de2274bb6beb3f792b3/train_data/train_bulk_trueprops.csv (origin=hf://datasets/DeweyWang/ETH_ML4G_Project-2@5c2bf1f2b72a8dc983a67de2274bb6beb3f792b3/train_data/train_bulk_trueprops.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 1890, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 760, 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
              highLevelType: string
              s1_0: double
              s1_1: double
              s2_0: double
              s2_1: double
              s3_0: double
              s3_1: double
              s4_0: double
              s4_1: double
              s7_0: double
              s7_1: double
              s8_0: double
              s8_1: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1693
              to
              {'Unnamed: 0': Value('string'), 's1_0': Value('float64'), 's1_1': Value('float64'), 's2_0': Value('float64'), 's2_1': Value('float64'), 's3_0': Value('float64'), 's3_1': Value('float64'), 's4_0': Value('float64'), 's4_1': Value('float64'), 's7_0': Value('float64'), 's7_1': Value('float64'), 's8_0': Value('float64'), 's8_1': 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 1739, 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 1892, 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 1 new columns ({'highLevelType'}) and 1 missing columns ({'Unnamed: 0'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/DeweyWang/ETH_ML4G_Project-2/train_data/train_bulk_trueprops.csv (at revision 5c2bf1f2b72a8dc983a67de2274bb6beb3f792b3), [/tmp/hf-datasets-cache/medium/datasets/53858690719885-config-parquet-and-info-DeweyWang-ETH_ML4G_Projec-3d0c3822/hub/datasets--DeweyWang--ETH_ML4G_Project-2/snapshots/5c2bf1f2b72a8dc983a67de2274bb6beb3f792b3/train_data/train_bulk.csv (origin=hf://datasets/DeweyWang/ETH_ML4G_Project-2@5c2bf1f2b72a8dc983a67de2274bb6beb3f792b3/train_data/train_bulk.csv), /tmp/hf-datasets-cache/medium/datasets/53858690719885-config-parquet-and-info-DeweyWang-ETH_ML4G_Projec-3d0c3822/hub/datasets--DeweyWang--ETH_ML4G_Project-2/snapshots/5c2bf1f2b72a8dc983a67de2274bb6beb3f792b3/train_data/train_bulk_trueprops.csv (origin=hf://datasets/DeweyWang/ETH_ML4G_Project-2@5c2bf1f2b72a8dc983a67de2274bb6beb3f792b3/train_data/train_bulk_trueprops.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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Unnamed: 0 string	s1_0 float64	s1_1 float64	s2_0 float64	s2_1 float64	s3_0 float64	s3_1 float64	s4_0 float64	s4_1 float64	s7_0 float64	s7_1 float64	s8_0 float64	s8_1 float64
NOC2L	201	226	133	150	167	176	235	190	147	123	143	132
HES4	470	532	874	924	332	352	661	463	432	349	333	363
ISG15	852	918	1,995	2,116	1,221	1,282	1,649	1,152	957	847	717	768
TNFRSF18	712	870	1,753	1,925	352	289	2,069	1,357	446	367	821	844
TNFRSF4	550	472	920	1,207	211	240	940	943	310	278	655	834
SDF4	349	477	362	398	374	392	531	452	358	345	350	354
B3GALT6	75	89	77	91	83	84	130	123	72	60	86	86
UBE2J2	173	226	176	154	143	165	165	155	105	98	108	93
INTS11	133	185	188	169	185	193	188	187	110	92	94	89
MXRA8	153	205	14	22	271	493	221	218	138	60	99	99
AURKAIP1	489	871	589	679	612	485	813	716	445	423	463	404
CCNL2	264	334	284	263	253	277	267	229	252	235	241	192
MRPL20	450	598	444	450	484	490	696	589	463	432	482	421
VWA1	36	45	20	10	44	67	27	28	52	72	78	78
SSU72	442	617	508	518	500	512	647	560	385	378	285	252
MIB2	139	167	169	177	149	159	193	113	99	93	87	82
MMP23B	85	115	28	20	268	465	100	89	69	34	18	18
CDK11B	143	152	305	308	198	203	201	150	186	185	171	172
CDK11A	243	271	314	306	232	257	153	106	148	149	136	136
NADK	72	95	69	92	56	44	80	69	58	72	73	57
GNB1	483	528	364	331	448	491	652	539	586	646	577	553
FAAP20	264	368	262	262	263	304	397	333	225	230	206	200
SKI	191	191	268	278	266	313	348	257	328	325	292	281
RER1	308	491	378	372	316	312	399	371	290	276	248	229
AL139246.5	121	121	203	182	81	90	184	115	74	60	47	36
TNFRSF14	404	489	418	478	473	424	419	331	282	296	205	212
TPRG1L	106	128	100	88	102	110	92	68	70	76	100	78
WRAP73	44	71	86	74	52	51	56	34	45	47	53	46
LRRC47	76	95	78	74	94	109	106	80	76	58	51	51
CEP104	56	76	84	82	61	57	101	75	62	70	59	59
C1orf174	72	83	55	55	41	49	50	38	62	76	91	89
KCNAB2	124	133	110	155	150	126	137	121	117	126	94	95
RPL22	7,050	8,075	4,060	4,015	4,641	4,937	6,997	5,693	8,883	9,643	7,624	6,875
ACOT7	45	69	183	120	56	47	102	97	44	35	39	50
TNFRSF25	147	129	417	587	100	146	346	242	88	73	209	278
NOL9	74	82	61	62	63	70	83	81	55	63	54	64
KLHL21	160	163	87	98	84	89	133	121	106	108	135	124
CAMTA1	358	447	228	227	222	227	286	287	307	361	241	208
VAMP3	138	197	171	137	139	123	137	136	157	159	129	133
TNFRSF9	160	118	368	221	249	294	415	306	214	153	277	333
PARK7	1,399	1,715	1,376	1,366	1,258	1,324	1,855	1,635	1,122	1,059	1,054	1,095
ERRFI1	146	171	81	74	163	227	134	113	308	207	71	72
RERE	211	260	227	187	150	184	187	149	200	229	190	121
ENO1	3,333	3,769	1,603	1,682	1,005	1,041	2,106	1,681	924	980	1,105	1,135
H6PD	71	76	39	62	64	88	62	60	44	39	29	25
SPSB1	156	217	88	86	80	124	134	130	95	65	72	72
SLC25A33	110	123	142	116	158	153	131	113	161	156	155	117
PIK3CD	70	72	95	120	84	93	84	51	65	43	60	50
CLSTN1	181	214	150	129	166	188	174	147	119	116	106	96
LZIC	110	94	117	118	107	126	117	113	113	76	56	66
UBE4B	79	100	76	71	78	89	94	83	79	75	73	53
KIF1B	224	251	87	86	189	180	142	126	143	145	156	148
PGD	99	108	84	90	91	81	140	134	74	103	71	81
DFFA	98	131	99	89	98	115	156	137	110	116	136	108
TARDBP	132	135	98	97	146	125	185	138	163	162	173	168
SRM	226	426	314	346	342	269	426	437	186	172	212	169
EXOSC10	76	83	79	75	59	83	106	80	93	66	83	83
MAD2L2	209	313	134	152	108	106	177	151	88	87	74	71
AGTRAP	122	159	310	189	291	346	221	213	80	86	79	82
MTHFR	94	69	41	59	91	77	64	65	59	85	53	52
KIAA2013	113	172	97	100	116	145	143	118	108	88	97	78
MFN2	45	50	61	42	34	51	61	44	53	58	61	40
MIIP	101	106	137	167	132	141	123	119	56	53	59	41
TNFRSF1B	844	559	543	728	1,058	1,070	1,172	928	734	854	665	740
VPS13D	91	107	123	142	86	87	103	87	92	87	62	59
DHRS3	207	210	81	89	115	161	115	83	126	98	116	123
PDPN	574	765	10	12	61	95	576	577	123	49	166	165
PRDM2	762	928	660	684	943	932	1,030	743	748	831	774	606
EFHD2	480	518	707	783	455	391	812	668	390	445	581	582
DDI2	122	123	33	39	70	75	87	81	49	39	119	92
PLEKHM2	202	241	127	148	119	125	167	134	98	128	105	103
AL450998.2	62	86	175	129	81	68	77	73	51	45	44	31
SPEN	422	522	356	340	322	362	449	334	352	386	432	364
ZBTB17	55	62	77	56	63	55	68	52	45	50	57	57
FBXO42	135	142	49	56	72	84	105	64	78	69	68	54
SZRD1	304	356	226	266	210	234	334	222	199	215	208	185
NECAP2	316	323	222	269	212	206	298	198	219	237	289	269
SDHB	115	154	130	138	119	124	136	122	203	190	196	181
RCC2	76	78	99	93	62	59	93	74	131	138	169	139
IFFO2	75	97	139	138	107	112	115	91	122	108	83	73
UBR4	315	340	233	210	199	235	230	180	176	197	215	163
MRTO4	73	89	104	114	61	91	140	122	56	53	91	93
AKR7A2	210	244	119	141	230	251	249	200	182	148	151	131
CAPZB	748	818	1,017	1,043	725	817	1,078	895	686	667	574	603
MINOS1	463	589	731	711	525	597	701	603	443	446	302	262
NBL1	900	1,122	119	136	782	1,139	614	575	533	252	280	300
PLA2G2A	51	131	1	1	2	7	1	0	700	881	55	54
CAMK2N1	170	175	64	43	243	348	95	77	171	107	70	81
PINK1	101	137	63	49	104	98	72	72	107	99	99	82
DDOST	254	527	349	346	359	283	336	313	364	357	285	259
HP1BP3	870	1,043	753	736	688	751	804	622	805	740	596	545
EIF4G3	234	261	190	184	197	189	244	173	159	156	158	149
ECE1	185	227	96	132	67	66	259	228	151	171	222	198
USP48	337	607	288	305	271	210	280	246	247	255	275	215
HSPG2	199	243	30	16	141	258	72	67	196	214	274	275
CDC42	2,196	2,291	2,077	2,027	1,620	1,684	2,375	1,929	1,958	1,988	1,923	1,708
ZBTB40	49	57	81	71	55	61	63	35	70	60	76	70
C1QA	169	104	23	25	776	324	118	30	173	496	19	116
C1QC	36	14	9	9	210	86	29	11	89	228	14	74
C1QB	113	45	18	19	735	308	89	13	136	366	27	95

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