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

This happened while the csv dataset builder was generating data using

hf://datasets/ligdis/msigdb_wp/fragment/C001/C001_val_log2fc/harmon.tsv (at revision f23f3ab074354e658742a909ce46baa9eade9793)

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 ({'pval', 'overlap', 'setsize', 'score'}) and 8 missing columns ({'score_mean', 'overlap_std', 'pval_std', 'setsize_std', 'score_std', 'pval_mean', 'setsize_mean', 'overlap_mean'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/ligdis/msigdb_wp/fragment/C001/C001_val_log2fc/harmon.tsv (at revision f23f3ab074354e658742a909ce46baa9eade9793)
              
              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
15q112 copy number variation syndrome
1.752427
3.958738
0.502893
0.506342
1.020122
0.676044
0.877538
0.313605
15q133 copy number variation syndrome
1.34466
2.88835
-0.271879
0.659914
0.866107
0.474761
0.757497
0.298734
16p112 distal deletion syndrome
2.330097
7.475728
-0.047762
0.639058
1.87802
1.292958
0.699561
0.272322
16p112 proximal deletion syndrome
9.436893
25.635922
-0.56264
0.555359
5.431247
2.692757
0.83059
0.321851
1q211 copy number variation syndrome
1.866505
8.890777
0.755869
0.431774
1.723381
1.502494
0.794995
0.298169
22q112 copy number variation syndrome
8.555825
32.36165
-0.420777
0.643781
4.494796
3.343271
0.60197
0.287675
3q29 copy number variation syndrome
2.68932
11.182039
0.004619
0.592515
2.0062
2.648203
0.812337
0.284252
4hydroxytamoxifen dexamethasone and retinoic acids regulation of p27 expression
3.283981
6.82767
-0.021492
0.579973
1.971751
1.258722
0.833426
0.299862
7oxoc and 7betahc pathways
2.631068
9.114078
0.368945
0.379579
1.669197
1.188168
1.20678
0.291737
7q1123 copy number variation syndrome
12.961165
45.167476
-0.976141
0.433436
5.606294
3.059858
0.834246
0.336282
Ace inhibitor pathway
0.236364
1.027273
1.118764
0.202364
0.424848
0.162877
1.78819
0.252271
Acetylcholine synthesis
0.410194
1.86165
0.350941
0.425702
0.578073
0.470267
1.407682
0.329332
Acquired partial lipodystrophy barraquersimons syndrome
1.740291
4.497573
0.906515
0.254867
1.495309
0.504825
1.235576
0.25741
Activation of nlrp3 inflammasome by sarscov2
0.751724
1
-1.20064
0.161848
0.432013
0
1.930479
0.24268
Acute viral myocarditis
5.597087
14.682039
-0.35381
0.535661
3.169606
2.586066
0.852072
0.301377
Adipogenesis
3.334951
14.839806
0.811688
0.43158
1.83002
1.658625
0.785016
0.300177
Aerobic glycolysis
6.915049
10.580097
-1.197811
0.287624
2.342115
0.493543
1.083458
0.312528
Aflatoxin b1 metabolism
0.359223
1.898058
0.796851
0.374906
0.605065
0.302572
1.373636
0.320119
Agerage pathway
7.264563
16.975728
-0.467792
0.551677
4.025454
3.13443
0.859635
0.324978
Airway smooth muscle cell contraction
2.036408
4.308252
-0.481342
0.456122
1.248741
0.942332
0.990023
0.303365
Alanine and aspartate metabolism
2.400485
4.26699
-1.239844
0.233223
1.276106
0.479257
0.910851
0.243936
Allograft rejection
3.330097
9.839806
0.795318
0.375973
1.648114
1.321432
0.931941
0.288328
Alpha 6 beta 4 signaling pathway
3.330097
9.88835
-0.216389
0.588557
2.299803
2.370359
0.822874
0.302991
Altered glycosylation of muc1 in tumor microenvironment
1.003106
1.937888
-0.020436
0.422483
0.903748
0.853851
1.479959
0.338055
Alternative pathway of fetal androgen synthesis
0.23301
1
1.270832
0.172726
0.422748
0
1.744471
0.237997
Alzheimers disease
18.929612
83.075243
0.8524
0.50899
9.098565
6.061711
1.080067
0.386521
Alzheimers disease and mirna effects
19.786408
84.628641
0.867541
0.501966
9.064119
6.212691
1.074407
0.386984
Amino acid metabolism
21.485437
54.225728
-1.686316
0.275035
8.379198
2.550465
1.508283
0.346691
Amino acid metabolism pathway excerpt histidine catabolism extension
0.699507
1.490148
0.082152
0.426015
0.657169
0.499903
1.406951
0.329863
Ampactivated protein kinase ampk signaling
3.240291
15.25
-1.101983
0.304068
1.901208
2.489419
1.123907
0.299995
Amplification and expansion of oncogenic pathways as metastatic traits
0.5
1
0.017932
0.232997
0.5
0
1.936954
0.268644
Amyotrophic lateral sclerosis als
2.730583
9.961165
0.420536
0.570881
1.655452
1.592899
0.737268
0.296149
Androgen receptor signaling pathway
9.521845
27.456311
-0.732624
0.478013
4.534871
4.170578
0.986864
0.338068
Angiogenesis
1.434568
3.288889
-0.111277
0.562101
1.03699
0.985324
0.984884
0.313644
Angiopoietinlike protein 8 regulatory pathway
7.575243
28.252427
0.055408
0.687639
4.071171
4.140654
0.724731
0.297564
Angiotensin ii receptor type 1 pathway
1.842233
3.123786
-0.505281
0.463743
0.935732
0.694442
1.0939
0.31045
Antiviral and antiinflammatory effects of nrf2 on sarscov2 pathway
0.934466
4.468447
0.765126
0.395049
1.187752
1.695647
1.012808
0.297396
Apoe and mir146 in inflammation and atherosclerosis
0.907143
1.314286
-1.075041
0.277465
0.54637
0.464231
1.670677
0.319511
Apoptosis
3.558252
12.881068
-0.034267
0.658691
2.419381
3.316322
0.696482
0.273012
Apoptosis modulation and signaling
3.898058
15.014563
0.21895
0.605366
2.333649
3.251554
0.745552
0.277408
Apoptosis modulation by hsp70
1.116505
4.373786
0.698056
0.455326
1.256447
1.583008
0.899593
0.309698
Apoptosisrelated network due to altered notch3 in ovarian cancer
3.628641
14.682039
-0.037348
0.596136
2.531444
1.639432
0.823852
0.29409
Arachidonate epoxygenase epoxide hydrolase
0.616505
1.623786
0.2675
0.343506
0.533826
0.484435
1.578932
0.304951
Arrhythmogenic right ventricular cardiomyopathy
4.194175
13.208738
-0.179238
0.544781
2.539239
1.398724
0.945548
0.313406
Aryl hydrocarbon receptor pathway wp2586
3.274272
7.978155
-0.021525
0.567143
2.157628
1.812044
0.865646
0.302148
Aryl hydrocarbon receptor pathway wp2873
1.968447
4.742718
0.312076
0.550968
1.223347
0.860018
0.838843
0.306455
Arylamine metabolism
0.542056
1
0.055241
0.262859
0.498228
0
1.890298
0.286776
Aspirin and mirnas
0.885965
1.897661
-0.191048
0.438743
0.693648
0.83319
1.50581
0.347191
Atm signaling in development and disease
7.01699
23
-0.424926
0.565726
3.658638
2.204365
0.817772
0.313518
Atm signaling pathway
5.725728
14.978155
-0.484553
0.565876
3.048956
2.051996
0.732253
0.299425
Atr signaling
1.298544
2.589806
-0.320125
0.512912
0.850869
1.085739
1.237006
0.332714
Autophagy
2.953883
7.742718
-0.029976
0.565001
1.996431
2.479395
0.887831
0.30702
Autosomal recessive osteopetrosis pathways
1.038835
2.291262
-0.134312
0.48557
0.811595
0.739077
1.155648
0.310711
B cell receptor signaling pathway
6.703883
18.873786
-0.573491
0.506767
3.718843
3.761531
0.852917
0.317998
Base excision repair
6.152913
16.800971
-0.287966
0.510825
3.403085
2.456258
1.029197
0.326654
Bdnftrkb signaling
2.580097
7.924757
-0.294817
0.562123
1.753192
1.46535
0.836027
0.306853
Benzene metabolism
0.177184
1
1.791731
0.061391
0.381825
0
2.052033
0.143973
Benzoapyrene metabolism
0.373786
2
0.630846
0.418486
0.583838
0
1.248794
0.318995
Bile acids synthesis and enterohepatic circulation
1.225728
3.191748
0.018268
0.525667
0.955321
0.70341
1.046062
0.319342
Biogenic amine synthesis
0.208738
1
1.372671
0.140046
0.406407
0
1.845035
0.213377
Biomarkers for pyrimidine metabolism disorders
2.791262
6.75
-0.218807
0.55666
1.5673
1.096386
0.853092
0.295743
Biomarkers for urea cycle disorders
0.949029
1.40534
-0.763715
0.349684
0.62304
0.524424
1.578149
0.332129
Biotin metabolism including iems
5.036408
7.575243
-2.050376
0.099784
1.436735
0.654832
1.48884
0.230528
Bladder cancer
2.686893
6.118932
-0.116473
0.626268
1.738073
1.572806
0.714532
0.272362
Bmp signaling in eyelid development
0.808399
1.55643
-0.322196
0.381225
0.669965
0.664109
1.55952
0.330426
Bmp2wnt4foxo1 pathway in primary endometrial stromal cell differentiation
0.546117
1
-0.191977
0.358985
0.497869
0
1.505018
0.291496
Bone morphogenic protein bmp signaling and regulation
0.614035
1
-0.739863
0.148397
0.486822
0
2.161057
0.206731
Brainderived neurotrophic factor bdnf signaling pathway
11.376214
42.063107
-0.638729
0.512908
5.560062
5.412221
0.934941
0.340728
Breast cancer pathway
7.135922
23.48301
-0.114566
0.701748
4.309728
3.389333
0.59029
0.25929
Burn wound healing
2.36165
8.283981
0.064643
0.637153
1.934055
1.150954
0.711999
0.271438
Calcium regulation in cardiac cells
7.305825
25.305825
-0.047837
0.659757
3.982811
3.49461
0.793189
0.315745
Caloric restriction and aging
0.907767
3.856796
0.688463
0.465089
1.003024
0.66199
0.909339
0.313573
Camkk2 pathway
2.682039
11.245146
0.544534
0.523701
1.941716
2.139685
0.719216
0.285633
Cancer immunotherapy by ctla4 blockade
0.663317
1.288945
-0.3286
0.342491
0.582156
0.453272
1.753805
0.332944
Cancer immunotherapy by pd1 blockade
1.223301
3.014563
0.017984
0.629176
0.902338
0.582747
0.841982
0.309236
Cannabinoid receptor signaling
1.86165
5.40534
0.138213
0.604981
1.46572
1.291597
0.801053
0.2984
Canonical and noncanonical notch signaling
0.875676
2.062162
0.147101
0.438297
0.841943
0.963622
1.472728
0.343442
Canonical and noncanonical tgfb signaling
0.530159
1.219048
0.280058
0.305746
0.586795
0.457341
1.680609
0.300424
Canonical nfkb pathway
1.071429
2.16369
-0.004923
0.432558
0.942208
1.029327
1.393387
0.324571
Cardiac hypertrophic response
4.23301
11.400485
-0.063929
0.606235
2.747298
3.058063
0.812961
0.298364
Cardiac progenitor differentiation
1.035176
2.208543
0.023927
0.502585
0.832004
0.847241
1.248474
0.332805
Ccl18 signaling pathway
3.145631
9.468447
0.71203
0.410282
1.544849
1.266244
0.905866
0.301564
Cell cycle
13.604369
49.621359
0.024998
0.75609
7.37493
5.628665
0.630792
0.283742
Cell differentiation expanded index
0.728643
1.203518
-0.476312
0.328112
0.577409
0.402614
1.673992
0.316044
Cell differentiation index
0.612245
1
-0.466124
0.267859
0.487238
0
1.820489
0.283858
Cell migration and invasion through p75ntr
1.791262
5.570388
-0.176267
0.566314
1.314638
1.575725
0.901604
0.313762
Cells and molecules involved in local acute inflammatory response
0.529126
1
-0.114652
0.301208
0.499151
0
1.704512
0.277511
Celltype dependent selectivity of cck2r signaling
0.621538
1.067692
-0.377574
0.247893
0.521681
0.251217
1.907242
0.283668
Cellular proteostasis
2.067961
4.271845
0.526479
0.420605
1.138575
0.846973
1.017772
0.302767
Cerebral organic acidurias including diseases
1.961165
4.936893
-0.646502
0.324033
1.319549
0.243155
1.160431
0.261131
Chemokine signaling pathway
7.366505
22.92233
-0.344315
0.596727
4.424024
4.748918
0.760293
0.295087
Cholesterol biosynthesis pathway
4.01699
12.356796
0.683421
0.366521
1.821448
1.313255
1.045692
0.270874
Cholesterol biosynthesis with skeletal dysplasias
2.703883
6.024272
1.625054
0.14276
1.305212
0.710116
0.967576
0.205892
Cholesterol metabolism with bloch and kandutschrussell pathways
7.092233
23.070388
1.304588
0.28856
3.189217
2.132139
1.15158
0.308803
Chromosomal and microsatellite instability in colorectal cancer
5.351942
17.347087
-0.147562
0.655062
3.585965
2.66739
0.720252
0.2826
Ciliary landscape
21.832524
102.298544
0.035396
0.823595
9.513588
9.411349
0.492381
0.250939
Ciliopathies
4.902913
17.76699
0.341367
0.572922
2.756333
3.714192
0.845548
0.315163
Circadian rhythm genes
10.157767
42.11165
0.057533
0.688762
5.01327
3.775516
0.695721
0.2991
Classical pathway of steroidogenesis with glucocorticoid and mineralocorticoid metabolism
0.23301
1
1.270832
0.172726
0.422748
0
1.744471
0.237997
Clear cell renal cell carcinoma pathways
15.385922
36.43932
-1.534584
0.291554
6.02858
2.903581
1.435835
0.346854
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