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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 4 new columns ({'score', 'overlap', 'pval', 'setsize'}) and 8 missing columns ({'setsize_std', 'overlap_mean', 'setsize_mean', 'score_std', 'pval_std', 'pval_mean', 'score_mean', 'overlap_std'}).

This happened while the csv dataset builder was generating data using

hf://datasets/ligdis/protein_atlas_disease_involvement/fragment/C001/C001_val_log2fc/harmon.tsv (at revision 0d3f726e0d0d74758f6e074d29c00487d348b596)

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 1870, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, 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 2292, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              term: string
              overlap: int64
              setsize: int64
              score: double
              pval: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 811
              to
              {'term': Value(dtype='string', id=None), 'overlap_mean': Value(dtype='float64', id=None), 'setsize_mean': Value(dtype='float64', id=None), 'score_mean': Value(dtype='float64', id=None), 'pval_mean': Value(dtype='float64', id=None), 'overlap_std': Value(dtype='float64', id=None), 'setsize_std': Value(dtype='float64', id=None), 'score_std': Value(dtype='float64', id=None), 'pval_std': Value(dtype='float64', id=None)}
              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 1420, 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 1052, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1000, 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 1741, 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 1872, 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 4 new columns ({'score', 'overlap', 'pval', 'setsize'}) and 8 missing columns ({'setsize_std', 'overlap_mean', 'setsize_mean', 'score_std', 'pval_std', 'pval_mean', 'score_mean', 'overlap_std'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/ligdis/protein_atlas_disease_involvement/fragment/C001/C001_val_log2fc/harmon.tsv (at revision 0d3f726e0d0d74758f6e074d29c00487d348b596)
              
              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.

term
string
overlap_mean
float64
setsize_mean
float64
score_mean
float64
pval_mean
float64
overlap_std
float64
setsize_std
float64
score_std
float64
pval_std
float64
Aicardi-Goutieres syndrome
1.597087
3.109223
-0.233859
0.657498
1.044073
0.557571
0.743467
0.294595
Albinism
1.291262
2.606796
-0.019021
0.599243
0.8376
0.619859
0.918115
0.310897
Allergen
0.88835
1.968447
-0.283434
0.509528
0.684191
0.174808
1.201453
0.337123
Alport syndrome
1.007282
2.050971
-0.115159
0.656647
0.644201
0.219938
0.902686
0.324991
Alzheimer disease
1.235437
4.759709
0.431847
0.401954
1.112771
1.109547
1.127889
0.299852
Amelogenesis imperfecta
0.340491
1.303681
1.17925
0.256153
0.57878
0.545297
1.572106
0.30447
Amyloidosis
1.087379
3.703883
0.464722
0.386461
0.906897
1.101493
1.197462
0.311567
Amyotrophic lateral sclerosis
3.053398
13.878641
0.49365
0.508408
2.180466
1.476295
0.851335
0.302785
Aortic aneurysm
0.75
1
-0.808685
0.123961
0.433013
0
2.021853
0.121295
Atherosclerosis
0.466667
1
0.159931
0.227672
0.498888
0
1.922361
0.255298
Atrial fibrillation
0.662621
1
-0.638857
0.314932
0.472815
0
1.628566
0.293296
Atrial septal defect
0.714286
1
-1.148137
0.178688
0.451754
0
1.882105
0.28206
Autism
1.512136
4.575243
0.076068
0.572903
1.185408
1.404455
0.860851
0.290243
Autism spectrum disorder
5.014563
12.5
-0.508119
0.512114
2.692994
1.871477
0.811626
0.301597
Bardet-Biedl syndrome
1.203518
2.432161
-0.395573
0.472523
0.827473
1.173052
1.276324
0.344719
Bartter syndrome
0.701235
1
-0.751657
0.243608
0.457717
0
1.734811
0.26535
Brugada syndrome
0.674556
1
-0.692738
0.244775
0.46854
0
1.698472
0.26918
Cancer-related genes
86.597087
375.706311
-0.452043
0.628237
31.267679
32.176073
0.735642
0.34168
Cardiomyopathy
6.575243
24.133495
-0.065124
0.601883
3.383522
2.556952
0.799395
0.294926
Cataract
7.509709
26.679612
0.606641
0.471826
3.570701
3.239512
1.057247
0.342241
Charcot-Marie-Tooth disease
5.567961
24.240291
0.043613
0.666122
3.532477
2.733828
0.681347
0.282375
Ciliopathy
3.536408
12.121359
0.176365
0.526356
2.354738
3.315868
0.917971
0.297704
Cockayne syndrome
1.012136
2.118932
0.24955
0.551057
0.780433
0.659458
1.064996
0.324875
Cone-rod dystrophy
0.465181
1.690808
1.202608
0.289944
0.595514
0.787577
1.354308
0.294885
Congenital adrenal hyperplasia
0.23301
1
1.270832
0.172726
0.422748
0
1.744471
0.237997
Congenital disorder of glycosylation
5.618932
18.325243
0.401366
0.450076
2.852002
3.440344
1.129634
0.318652
Congenital dyserythropoietic anemia
0.277992
1
0.938389
0.185001
0.44801
0
1.916364
0.249189
Congenital erythrocytosis
0.807692
1
-1.109937
0.232268
0.394113
0
1.584984
0.270786
Congenital generalized lipodystrophy
0
1
1.301296
0.264707
0
0
0.583992
0.206336
Congenital hypothyroidism
0.17233
1
0.997229
0.296057
0.377667
0
1.270494
0.264541
Congenital muscular dystrophy
1.618932
5.058252
0.455237
0.452786
1.227884
1.239129
0.951683
0.299326
Congenital myasthenic syndrome
1.104623
3.435523
0.325912
0.530013
0.923472
0.790825
0.950389
0.311848
Corneal dystrophy
0.560976
1.27439
0.33595
0.260139
0.606822
0.485475
2.004636
0.307901
Craniosynostosis
1.269417
3.526699
0.337551
0.543318
1.018154
1.036595
0.885417
0.300736
Cushing syndrome
1.26699
3.271845
0.209844
0.58575
0.991017
0.739905
0.895375
0.320304
Deafness
11.51699
49.936893
0.312103
0.694859
4.834866
4.951306
0.674738
0.30603
Diabetes insipidus
0.231198
1
1.179462
0.174129
0.421599
0
1.795983
0.239503
Diabetes mellitus
3.196602
10.315534
0.619068
0.473009
1.848034
1.973723
0.859744
0.311321
Diamond-Blackfan anemia
7.868932
16.179612
-0.515538
0.398976
3.475616
1.066603
1.252
0.339013
Disease variant
147.696602
799.376214
-0.115132
0.748659
44.409477
75.285068
0.714826
0.331775
Dwarfism
10.859223
47.580097
0.072091
0.712682
4.964885
6.846861
0.64385
0.293821
Dyskeratosis congenita
2.097087
4.053398
-0.521208
0.534338
1.218901
0.845929
0.761229
0.301207
Dystonia
2.024272
6.050971
0.362976
0.477303
1.16352
1.576473
0.964532
0.299061
Dystroglycanopathy
1.140777
3.662621
0.52155
0.442654
0.960172
1.086216
1.03852
0.302314
Ectodermal dysplasia
2.951456
6.507282
-0.423554
0.544144
1.710213
1.137381
0.830052
0.306452
Ehlers-Danlos syndrome
1.152913
3.398058
0.973706
0.284595
0.759034
0.807607
1.136094
0.261549
Elliptocytosis
1.412621
2.050971
-0.456555
0.615114
0.649597
0.219938
0.891054
0.311264
Emery-Dreifuss muscular dystrophy
1.786408
5.092233
0.296606
0.546231
1.203962
0.798201
0.844283
0.304214
Epidermolysis bullosa
1.56068
2.968447
-0.652248
0.409313
0.875063
0.558669
1.061495
0.300247
Epilepsy
13.298544
65.42233
-0.16889
0.621449
6.364396
7.077675
0.890048
0.331481
FDA approved drug targets
24.048544
119.424757
0.662311
0.574567
8.398022
10.190738
0.863512
0.368351
Fanconi anemia
1.441748
3.400485
-0.329098
0.490352
1.009183
1.426959
1.119762
0.333069
Gangliosidosis
2.856796
4.902913
0.215856
0.15748
1.221322
0.296077
1.903925
0.223935
Gaucher disease
1.029126
1.961165
0.823695
0.246527
0.552247
0.193201
1.611611
0.26471
Glaucoma
1.004854
2.177184
-0.3059
0.601874
0.730724
0.42968
0.996774
0.323472
Glutaricaciduria
2.351942
4
-0.630514
0.458784
1.202716
0
0.930902
0.311021
Glycogen storage disease
3.288835
9.320388
-0.297419
0.488686
1.974736
1.290094
1.005046
0.312472
Gout
1.024272
1.444175
-0.516103
0.41476
0.699787
0.496874
1.304957
0.309391
Hemolytic uremic syndrome
0.382353
1
0.744983
0.234027
0.485962
0
1.832284
0.269356
Hereditary hemolytic anemia
4.975728
13.820388
-0.479223
0.499548
2.652054
1.199422
0.919477
0.309451
Hereditary multiple exostoses
0.336842
1
0.566821
0.153064
0.47263
0
2.156568
0.219323
Hereditary nonpolyposis colorectal cancer
1.269417
2.492718
0.033985
0.6005
0.764971
0.617264
0.973223
0.316665
Hereditary spastic paraplegia
4
14.555825
0.091966
0.593099
2.218632
2.920349
0.806071
0.285381
Hermansky-Pudlak syndrome
1.291262
2.606796
-0.019021
0.599243
0.8376
0.619859
0.918115
0.310897
Hirschsprung disease
0.703883
1.98301
1.02227
0.29734
0.506927
0.129235
1.253922
0.257414
Holoprosencephaly
1.104369
1.98301
-0.141723
0.656267
0.624174
0.129235
0.890589
0.320997
Hyperlipidemia
0.517241
1
-0.04207
0.25334
0.499703
0
1.821846
0.266445
Hypogonadotropic hypogonadism
1.201456
2.376214
-0.378382
0.472531
0.903444
0.819494
1.207818
0.330493
Hypotrichosis
2.13835
6.660194
-0.236814
0.482503
1.551005
1.02449
0.949383
0.285607
Ichthyosis
2.424757
8.708738
0.67019
0.379891
1.563128
1.427069
1.102921
0.315232
Intrahepatic cholestasis
0.621359
1.740291
0.338974
0.47545
0.651607
0.475648
1.318916
0.345107
Joubert syndrome
0.902676
2.902676
0.344462
0.412121
0.95661
1.234251
1.301095
0.309744
Kallmann syndrome
0.968447
1.584951
-0.593472
0.386935
0.738323
0.69678
1.489322
0.324793
Kartagener syndrome
0.781553
1.473301
-0.063038
0.390525
0.679698
0.558922
1.532078
0.318299
Leber congenital amaurosis
0.885942
2.143236
0.45487
0.488118
0.883229
1.017441
1.292638
0.351355
Leber hereditary optic neuropathy
0.679878
1.780488
1.251554
0.184524
0.670337
0.703205
1.811805
0.251803
Leigh syndrome
3.058252
9.393204
-0.079312
0.440252
2.157962
1.525114
1.091342
0.297227
Leukodystrophy
4.145631
18.031553
0.023437
0.658565
3.087424
2.18256
0.736119
0.289491
Li-Fraumeni syndrome
0.963592
1.631068
-0.397666
0.521792
0.694035
0.482515
1.216919
0.338072
Limb-girdle muscular dystrophy
2.434466
7.783981
0.3463
0.580749
1.668694
1.398486
0.751025
0.292106
Lissencephaly
2.907767
9.378641
0.387909
0.543693
1.801089
1.480399
0.794693
0.296307
Long QT syndrome
0.508251
1.244224
0.21344
0.226855
0.525675
0.429626
2.092389
0.286325
MELAS syndrome
0.296552
1.237931
1.549143
0.117916
0.513596
0.479161
2.009979
0.203281
Maple syrup urine disease
0.911051
1.566038
-0.813884
0.303201
0.618808
0.64246
1.714047
0.329886
Meckel syndrome
0.634218
1.737463
0.510938
0.310905
0.692657
0.875147
1.704528
0.309272
Mental retardation
43.339806
163.286408
-0.436632
0.621864
15.144324
17.684685
0.629169
0.296458
Metachromatic leukodystrophy
0.425693
1.352645
0.95223
0.145766
0.596079
0.477793
2.171204
0.226308
Microphthalmia
1.902913
6.475728
0.065676
0.621572
1.675144
1.05981
0.724397
0.274385
Mucolipidosis
0.5
1
-0.125201
0.194827
0.5
0
2.374083
0.233465
Mucopolysaccharidosis
2.254854
4.752427
0.484393
0.203416
0.98316
0.728657
1.626107
0.246351
Myofibrillar myopathy
1.075426
1.642336
-0.747687
0.42334
0.648153
0.479313
1.354813
0.33778
Nemaline myopathy
0.975728
1.997573
-0.178203
0.600352
0.703247
0.049207
1.004249
0.329439
Nephronophthisis
0.759124
1.890511
0.195337
0.411964
0.733543
0.912302
1.405771
0.316629
Neurodegeneration
27.956311
134.696602
0.269943
0.615158
9.104466
13.994024
0.954863
0.36327
Neuronal ceroid lipofuscinosis
2.194175
3.616505
0.8145
0.171685
0.950812
0.829387
1.676407
0.224181
Neuropathy
11.589806
50.490291
0.007366
0.695057
4.95457
5.724026
0.670309
0.295136
Niemann-Pick disease
0.793187
1.80292
0.482658
0.275037
0.598906
0.397793
1.761501
0.280954
Non-syndromic deafness
4.970874
16.223301
-0.071946
0.67577
2.937724
2.270247
0.670217
0.272745
Obesity
2.211165
5.480583
-0.29992
0.523238
1.463661
1.837345
0.890876
0.290866
Oncogene
0.939698
2.613065
0.08869
0.527271
0.854419
0.922107
1.142947
0.328692
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