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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 2 new columns ({'gene_expr_change', 'ABC_score'}) and 2 missing columns ({'allele1', 'allele2'}).

This happened while the csv dataset builder was generating data using

hf://datasets/jzshared/dnalongbench/enhancer_target_gene/targets/CRISPRi_EPI_K562_Gasperini_hg19.data.tsv (at revision 976f4448d76679f496d988c9d70d0e8c9a310c87)

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
              gene_chrom: string
              gene_start: int64
              gene_end: int64
              region_chrom: string
              region_start: int64
              region_end: int64
              gene_id: string
              gene_strand: string
              region_id: string
              target: string
              subset: string
              gene_expr_change: double
              distance_to_tss: int64
              ABC_score: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1931
              to
              {'gene_chrom': Value('string'), 'gene_start': Value('int64'), 'gene_end': Value('int64'), 'region_chrom': Value('string'), 'region_start': Value('int64'), 'region_end': Value('int64'), 'gene_id': Value('string'), 'gene_strand': Value('string'), 'region_id': Value('string'), 'target': Value('string'), 'subset': Value('string'), 'allele1': Value('string'), 'allele2': Value('string'), 'distance_to_tss': 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 1334, 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 911, in stream_convert_to_parquet
                  builder._prepare_split(
                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 2 new columns ({'gene_expr_change', 'ABC_score'}) and 2 missing columns ({'allele1', 'allele2'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/jzshared/dnalongbench/enhancer_target_gene/targets/CRISPRi_EPI_K562_Gasperini_hg19.data.tsv (at revision 976f4448d76679f496d988c9d70d0e8c9a310c87)
              
              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.

gene_chrom
string
gene_start
int64
gene_end
int64
region_chrom
string
region_start
int64
region_end
int64
gene_id
string
gene_strand
string
region_id
string
target
string
subset
string
allele1
string
allele2
string
distance_to_tss
int64
chr19
17,933,016
17,943,991
chr19
17,934,309
17,934,310
ENSG00000007080.10
+
chr19_17934310_G_A_b38
positive
valid
G
A
1,293
chr19
17,933,016
17,943,991
chr19
17,936,473
17,936,474
ENSG00000007080.10
+
chr19_17936474_T_G_b38
positive
train
T
G
3,457
chr19
17,933,016
17,943,991
chr19
18,274,050
18,274,051
ENSG00000007080.10
+
chr19_18274051_G_A_b38
negative
train
G
A
457
chr19
17,933,016
17,943,991
chr19
18,181,242
18,181,243
ENSG00000007080.10
+
chr19_18181243_T_C_b38
negative
test
T
C
11,939
chr19
17,933,016
17,943,991
chr19
18,196,179
18,196,180
ENSG00000007080.10
+
chr19_18196180_G_C_b38
negative
valid
G
C
59,238
chr16
1,333,601
1,349,441
chr16
1,333,748
1,333,749
ENSG00000007516.13
+
chr16_1333749_G_A_b38
positive
valid
G
A
147
chr16
1,333,601
1,349,441
chr16
1,346,786
1,346,805
ENSG00000007516.13
+
chr16_1346787_TGCAGGTGGGGCCAGCGGG_T_b38
positive
train
TGCAGGTGGGGCCAGCGGG
T
13,185
chr16
1,333,601
1,349,441
chr16
1,447,123
1,447,124
ENSG00000007516.13
+
chr16_1447124_A_G_b38
negative
test
A
G
2,568
chr16
1,333,601
1,349,441
chr16
1,319,248
1,319,249
ENSG00000007516.13
+
chr16_1319249_C_G_b38
negative
train
C
G
10,368
chr16
1,333,601
1,349,441
chr16
1,333,909
1,333,910
ENSG00000007516.13
+
chr16_1333910_T_C_b38
negative
valid
T
C
25,029
chr1
1,702,730
1,724,324
chr1
1,689,220
1,689,221
ENSG00000008128.22
-
chr1_1689221_G_A_b38
positive
train
G
A
35,102
chr1
1,702,730
1,724,324
chr1
1,845,551
1,845,552
ENSG00000008128.22
-
chr1_1845552_G_T_b38
positive
valid
G
T
121,228
chr1
1,702,730
1,724,324
chr1
1,618,981
1,618,982
ENSG00000008128.22
-
chr1_1618982_G_A_b38
negative
valid
G
A
3,566
chr1
1,702,730
1,724,324
chr1
1,715,545
1,715,546
ENSG00000008128.22
-
chr1_1715546_C_T_b38
negative
train
C
T
56,534
chr1
1,702,730
1,724,324
chr1
1,773,475
1,773,476
ENSG00000008128.22
-
chr1_1773476_C_G_b38
negative
test
C
G
117,995
chr12
6,310,436
6,328,506
chr12
6,310,713
6,310,714
ENSG00000008323.15
+
chr12_6310714_G_C_b38
positive
train
G
C
277
chr12
6,310,436
6,328,506
chr12
6,314,733
6,314,734
ENSG00000008323.15
+
chr12_6314734_A_G_b38
positive
valid
A
G
4,297
chr12
6,310,436
6,328,506
chr12
6,493,325
6,493,326
ENSG00000008323.15
+
chr12_6493326_A_C_b38
negative
train
A
C
30
chr12
6,310,436
6,328,506
chr12
6,493,266
6,493,267
ENSG00000008323.15
+
chr12_6493267_G_A_b38
negative
test
G
A
89
chr12
6,310,436
6,328,506
chr12
6,494,246
6,494,247
ENSG00000008323.15
+
chr12_6494247_A_G_b38
negative
valid
A
G
890
chr19
54,953,130
55,001,142
chr19
54,962,820
54,962,821
ENSG00000022556.15
+
chr19_54962821_C_G_b38
positive
train
C
G
9,690
chr19
54,953,130
55,001,142
chr19
54,969,297
54,969,298
ENSG00000022556.15
+
chr19_54969298_A_AC_b38
positive
valid
A
AC
16,167
chr19
54,953,130
55,001,142
chr19
54,954,389
54,954,390
ENSG00000022556.15
+
chr19_54954390_T_C_b38
negative
test
T
C
1,259
chr19
54,953,130
55,001,142
chr19
54,880,341
54,880,342
ENSG00000022556.15
+
chr19_54880342_T_C_b38
negative
train
T
C
6,093
chr19
54,953,130
55,001,142
chr19
54,811,601
54,811,602
ENSG00000022556.15
+
chr19_54811602_A_G_b38
negative
train
A
G
41,790
chr19
54,953,130
55,001,142
chr19
54,820,201
54,820,202
ENSG00000022556.15
+
chr19_54820202_A_G_b38
negative
train
A
G
50,390
chr19
54,953,130
55,001,142
chr19
55,010,069
55,010,070
ENSG00000022556.15
+
chr19_55010070_C_T_b38
negative
valid
C
T
56,939
chr19
13,764,532
13,774,282
chr19
13,763,484
13,763,485
ENSG00000037757.13
+
chr19_13763485_G_A_b38
positive
valid
G
A
1,047
chr19
13,764,532
13,774,282
chr19
13,768,529
13,768,530
ENSG00000037757.13
+
chr19_13768530_G_A_b38
positive
train
G
A
3,997
chr19
13,764,532
13,774,282
chr19
13,777,646
13,777,650
ENSG00000037757.13
+
chr19_13777647_CTCT_C_b38
negative
train
CTCT
C
3,478
chr19
13,764,532
13,774,282
chr19
13,778,553
13,778,554
ENSG00000037757.13
+
chr19_13778554_G_A_b38
negative
valid
G
A
4,385
chr19
13,764,532
13,774,282
chr19
13,778,774
13,778,775
ENSG00000037757.13
+
chr19_13778775_C_T_b38
negative
test
C
T
4,606
chr16
2,911,937
2,951,208
chr16
2,936,321
2,936,322
ENSG00000059122.16
+
chr16_2936322_T_C_b38
positive
train
T
C
24,384
chr16
2,911,937
2,951,208
chr16
2,943,818
2,943,819
ENSG00000059122.16
+
chr16_2943819_C_A_b38
positive
valid
C
A
31,881
chr16
2,911,937
2,951,208
chr16
2,938,467
2,938,468
ENSG00000059122.16
+
chr16_2938468_C_G_b38
negative
train
C
G
26,530
chr16
2,911,937
2,951,208
chr16
2,938,551
2,938,552
ENSG00000059122.16
+
chr16_2938552_C_CTG_b38
negative
train
C
CTG
26,614
chr16
2,911,937
2,951,208
chr16
2,940,789
2,940,790
ENSG00000059122.16
+
chr16_2940790_C_G_b38
negative
train
C
G
28,852
chr16
2,911,937
2,951,208
chr16
2,941,861
2,941,862
ENSG00000059122.16
+
chr16_2941862_G_A_b38
negative
train
G
A
29,924
chr16
2,911,937
2,951,208
chr16
2,942,841
2,942,842
ENSG00000059122.16
+
chr16_2942842_G_C_b38
negative
valid
G
C
30,904
chr16
2,911,937
2,951,208
chr16
2,943,149
2,943,150
ENSG00000059122.16
+
chr16_2943150_C_G_b38
negative
train
C
G
31,212
chr16
2,911,937
2,951,208
chr16
2,943,358
2,943,359
ENSG00000059122.16
+
chr16_2943359_C_T_b38
negative
valid
C
T
31,421
chr16
2,911,937
2,951,208
chr16
2,943,401
2,943,402
ENSG00000059122.16
+
chr16_2943402_A_C_b38
negative
train
A
C
31,464
chr16
2,911,937
2,951,208
chr16
2,943,608
2,943,609
ENSG00000059122.16
+
chr16_2943609_T_C_b38
negative
train
T
C
31,671
chr16
2,911,937
2,951,208
chr16
2,943,729
2,943,730
ENSG00000059122.16
+
chr16_2943730_G_A_b38
negative
train
G
A
31,792
chr16
2,911,937
2,951,208
chr16
2,943,940
2,943,941
ENSG00000059122.16
+
chr16_2943941_A_C_b38
negative
test
A
C
32,003
chr16
2,911,937
2,951,208
chr16
2,943,988
2,943,989
ENSG00000059122.16
+
chr16_2943989_C_G_b38
negative
train
C
G
32,051
chr16
2,911,937
2,951,208
chr16
2,944,006
2,944,007
ENSG00000059122.16
+
chr16_2944007_T_G_b38
negative
train
T
G
32,069
chr16
2,911,937
2,951,208
chr16
2,944,341
2,944,342
ENSG00000059122.16
+
chr16_2944342_A_G_b38
negative
test
A
G
32,404
chr2
48,529,925
48,776,517
chr2
48,595,241
48,595,242
ENSG00000068781.21
+
chr2_48595242_G_A_b38
positive
train
G
A
65,316
chr2
48,529,925
48,776,517
chr2
48,776,318
48,776,319
ENSG00000068781.21
+
chr2_48776319_C_T_b38
positive
valid
C
T
246,393
chr2
48,529,925
48,776,517
chr2
48,598,815
48,598,816
ENSG00000068781.21
+
chr2_48598816_T_C_b38
negative
train
T
C
68,890
chr2
48,529,925
48,776,517
chr2
48,634,150
48,634,151
ENSG00000068781.21
+
chr2_48634151_C_T_b38
negative
train
C
T
104,225
chr2
48,529,925
48,776,517
chr2
48,635,743
48,635,744
ENSG00000068781.21
+
chr2_48635744_T_C_b38
negative
train
T
C
105,818
chr2
48,529,925
48,776,517
chr2
48,640,289
48,640,290
ENSG00000068781.21
+
chr2_48640290_C_G_b38
negative
train
C
G
110,364
chr2
48,529,925
48,776,517
chr2
48,640,724
48,640,725
ENSG00000068781.21
+
chr2_48640725_C_T_b38
negative
train
C
T
110,799
chr2
48,529,925
48,776,517
chr2
48,641,302
48,641,303
ENSG00000068781.21
+
chr2_48641303_G_C_b38
negative
train
G
C
111,377
chr2
48,529,925
48,776,517
chr2
48,649,130
48,649,131
ENSG00000068781.21
+
chr2_48649131_T_C_b38
negative
train
T
C
119,205
chr2
48,529,925
48,776,517
chr2
48,649,229
48,649,230
ENSG00000068781.21
+
chr2_48649230_A_G_b38
negative
test
A
G
119,304
chr2
48,529,925
48,776,517
chr2
48,649,434
48,649,435
ENSG00000068781.21
+
chr2_48649435_C_G_b38
negative
train
C
G
119,509
chr2
48,529,925
48,776,517
chr2
48,649,992
48,649,993
ENSG00000068781.21
+
chr2_48649993_G_A_b38
negative
train
G
A
120,067
chr2
48,529,925
48,776,517
chr2
48,650,130
48,650,131
ENSG00000068781.21
+
chr2_48650131_C_T_b38
negative
train
C
T
120,205
chr2
48,529,925
48,776,517
chr2
48,650,562
48,650,563
ENSG00000068781.21
+
chr2_48650563_A_G_b38
negative
train
A
G
120,637
chr2
48,529,925
48,776,517
chr2
48,651,585
48,651,586
ENSG00000068781.21
+
chr2_48651586_A_C_b38
negative
train
A
C
121,660
chr2
48,529,925
48,776,517
chr2
48,651,604
48,651,605
ENSG00000068781.21
+
chr2_48651605_A_G_b38
negative
test
A
G
121,679
chr2
48,529,925
48,776,517
chr2
48,652,227
48,652,228
ENSG00000068781.21
+
chr2_48652228_C_G_b38
negative
train
C
G
122,302
chr2
48,529,925
48,776,517
chr2
48,652,401
48,652,402
ENSG00000068781.21
+
chr2_48652402_G_A_b38
negative
train
G
A
122,476
chr2
48,529,925
48,776,517
chr2
48,652,444
48,652,445
ENSG00000068781.21
+
chr2_48652445_G_A_b38
negative
train
G
A
122,519
chr2
48,529,925
48,776,517
chr2
48,652,779
48,652,780
ENSG00000068781.21
+
chr2_48652780_T_C_b38
negative
train
T
C
122,854
chr2
48,529,925
48,776,517
chr2
48,654,023
48,654,024
ENSG00000068781.21
+
chr2_48654024_C_T_b38
negative
train
C
T
124,098
chr2
48,529,925
48,776,517
chr2
48,654,221
48,654,222
ENSG00000068781.21
+
chr2_48654222_C_T_b38
negative
valid
C
T
124,296
chr2
48,529,925
48,776,517
chr2
48,654,241
48,654,242
ENSG00000068781.21
+
chr2_48654242_T_C_b38
negative
train
T
C
124,316
chr2
48,529,925
48,776,517
chr2
48,655,125
48,655,126
ENSG00000068781.21
+
chr2_48655126_G_T_b38
negative
train
G
T
125,200
chr2
48,529,925
48,776,517
chr2
48,655,429
48,655,430
ENSG00000068781.21
+
chr2_48655430_C_G_b38
negative
train
C
G
125,504
chr2
48,529,925
48,776,517
chr2
48,658,560
48,658,561
ENSG00000068781.21
+
chr2_48658561_T_C_b38
negative
train
T
C
128,635
chr2
48,529,925
48,776,517
chr2
48,662,110
48,662,111
ENSG00000068781.21
+
chr2_48662111_T_G_b38
negative
train
T
G
132,185
chr2
48,529,925
48,776,517
chr2
48,665,054
48,665,055
ENSG00000068781.21
+
chr2_48665055_G_A_b38
negative
train
G
A
135,129
chr2
48,529,925
48,776,517
chr2
48,665,631
48,665,632
ENSG00000068781.21
+
chr2_48665632_A_G_b38
negative
valid
A
G
135,706
chr2
48,529,925
48,776,517
chr2
48,667,165
48,667,166
ENSG00000068781.21
+
chr2_48667166_C_T_b38
negative
train
C
T
137,240
chr2
48,529,925
48,776,517
chr2
48,667,995
48,667,996
ENSG00000068781.21
+
chr2_48667996_C_G_b38
negative
train
C
G
138,070
chr2
48,529,925
48,776,517
chr2
48,670,255
48,670,257
ENSG00000068781.21
+
chr2_48670256_TG_T_b38
negative
train
TG
T
140,330
chr2
48,529,925
48,776,517
chr2
48,672,051
48,672,052
ENSG00000068781.21
+
chr2_48672052_A_G_b38
negative
train
A
G
142,126
chr2
48,529,925
48,776,517
chr2
48,673,188
48,673,189
ENSG00000068781.21
+
chr2_48673189_C_T_b38
negative
train
C
T
143,263
chr2
48,529,925
48,776,517
chr2
48,673,849
48,673,850
ENSG00000068781.21
+
chr2_48673850_A_G_b38
negative
train
A
G
143,924
chr2
48,529,925
48,776,517
chr2
48,675,617
48,675,618
ENSG00000068781.21
+
chr2_48675618_G_A_b38
negative
train
G
A
145,692
chr2
48,529,925
48,776,517
chr2
48,679,553
48,679,554
ENSG00000068781.21
+
chr2_48679554_G_T_b38
negative
train
G
T
149,628
chr2
48,529,925
48,776,517
chr2
48,679,701
48,679,702
ENSG00000068781.21
+
chr2_48679702_C_G_b38
negative
train
C
G
149,776
chr2
48,529,925
48,776,517
chr2
48,685,497
48,685,498
ENSG00000068781.21
+
chr2_48685498_A_G_b38
negative
train
A
G
155,572
chr2
48,529,925
48,776,517
chr2
48,687,168
48,687,169
ENSG00000068781.21
+
chr2_48687169_A_G_b38
negative
train
A
G
157,243
chr2
48,529,925
48,776,517
chr2
48,687,336
48,687,337
ENSG00000068781.21
+
chr2_48687337_C_T_b38
negative
train
C
T
157,411
chr2
48,529,925
48,776,517
chr2
48,688,961
48,688,962
ENSG00000068781.21
+
chr2_48688962_C_T_b38
negative
train
C
T
159,036
chr2
48,529,925
48,776,517
chr2
48,690,157
48,690,158
ENSG00000068781.21
+
chr2_48690158_C_T_b38
negative
train
C
T
160,232
chr2
48,529,925
48,776,517
chr2
48,696,395
48,696,396
ENSG00000068781.21
+
chr2_48696396_G_T_b38
negative
train
G
T
166,470
chr8
144,393,229
144,409,349
chr8
144,396,340
144,396,341
ENSG00000071894.16
-
chr8_144396341_G_A_b38
positive
test
G
A
13,007
chr8
144,393,229
144,409,349
chr8
144,392,694
144,392,695
ENSG00000071894.16
-
chr8_144392695_A_G_b38
positive
train
A
G
16,653
chr8
144,393,229
144,409,349
chr8
144,385,463
144,385,464
ENSG00000071894.16
-
chr8_144385464_G_A_b38
positive
valid
G
A
23,884
chr8
144,393,229
144,409,349
chr8
144,386,518
144,386,519
ENSG00000071894.16
-
chr8_144386519_G_T_b38
negative
train
G
T
22,829
chr8
144,393,229
144,409,349
chr8
144,379,424
144,379,425
ENSG00000071894.16
-
chr8_144379425_C_A_b38
negative
train
C
A
29,923
chr8
144,393,229
144,409,349
chr8
144,301,554
144,301,555
ENSG00000071894.16
-
chr8_144301555_T_C_b38
negative
train
T
C
107,793
chr8
144,393,229
144,409,349
chr8
144,301,311
144,301,312
ENSG00000071894.16
-
chr8_144301312_G_A_b38
negative
train
G
A
108,036
chr8
144,393,229
144,409,349
chr8
144,298,695
144,298,696
ENSG00000071894.16
-
chr8_144298696_G_T_b38
negative
valid
G
T
110,652
End of preview.