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

This happened while the csv dataset builder was generating data using

hf://datasets/ligdis/msigdb_reactome/fragment/C001/C001_val_log2fc/harmon.tsv (at revision b8dc22f09d7d9b6e7466a92a3b9c74d51f218254)

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, "' + 812
              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 ({'setsize', 'score', 'pval', 'overlap'}) and 8 missing columns ({'pval_mean', 'overlap_mean', 'score_mean', 'setsize_std', 'overlap_std', 'pval_std', 'setsize_mean', 'score_std'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/ligdis/msigdb_reactome/fragment/C001/C001_val_log2fc/harmon.tsv (at revision b8dc22f09d7d9b6e7466a92a3b9c74d51f218254)
              
              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
2 ltr circle formation
2.51699
5.317961
-0.746004
0.423077
1.437096
0.564627
0.811052
0.28789
A tetrasaccharide linker sequence is required for gag synthesis
0.397306
1.131313
0.457131
0.215714
0.509565
0.337742
2.020893
0.274826
Abacavir metabolism
0.575309
1
-0.362705
0.241749
0.494296
0
1.909709
0.266171
Abacavir transmembrane transport
0.224691
1
1.372308
0.073397
0.417379
0
2.217837
0.151569
Abacavir transport and metabolism
0.526699
1.966019
0.590576
0.399026
0.662275
0.181179
1.420406
0.317384
Abc family proteins mediated transport
13.317961
51.419903
0.831334
0.503384
6.603792
3.01789
1.025884
0.368122
Abc transporter disorders
11.927184
42.313107
0.727764
0.511874
6.253119
1.984533
1.107481
0.360861
Abc transporters in lipid homeostasis
0.968447
2.526699
0.678513
0.44754
0.813404
0.745059
1.070847
0.319369
Aberrant regulation of mitotic exit in cancer due to rb1 defects
3.584951
9.779126
0.248727
0.617012
2.234997
1.71154
0.752823
0.303467
Aberrant regulation of mitotic g1 s transition in cancer due to rb1 defects
1.373786
3.092233
0.286496
0.563371
1.00053
0.825114
0.933912
0.314301
Abortive elongation of hiv 1 transcript in the absence of tat
4.252427
13.682039
-0.225969
0.641758
2.764085
2.32512
0.655513
0.266429
Acetylcholine neurotransmitter release cycle
0.438596
1.030702
0.177736
0.232861
0.513589
0.172508
1.961545
0.272911
Acetylcholine regulates insulin secretion
1
1.719677
-0.819653
0.328716
0.684838
0.825546
1.553212
0.330267
Activated notch1 transmits signal to the nucleus
0.873786
2.458738
0.597379
0.461209
0.778093
0.965797
1.105839
0.324995
Activated ntrk2 signals through cdk5
1.09466
1.820388
-0.24794
0.538866
0.667025
0.383864
1.170081
0.333429
Activated ntrk2 signals through frs2 and frs3
0.796117
2.012136
0.085718
0.594453
0.651499
0.371756
1.120614
0.344653
Activated ntrk2 signals through fyn
0.746154
1.182051
-0.363017
0.398852
0.540345
0.385887
1.407985
0.31733
Activated ntrk2 signals through pi3k
0.201456
1
1.024894
0.24581
0.401088
0
1.515792
0.264867
Activated ntrk2 signals through ras
0.271845
1.126214
0.927853
0.291628
0.510932
0.404576
1.47807
0.29774
Activated ntrk3 signals through pi3k
0.5
1
0.017932
0.232997
0.5
0
1.936954
0.268644
Activated ntrk3 signals through ras
0.271845
1.126214
0.927853
0.291628
0.510932
0.404576
1.47807
0.29774
Activated pkn1 stimulates transcription of ar androgen receptor regulated genes klk2 and klk3
2.230583
3.793689
-0.907423
0.372637
1.069315
0.709614
0.952354
0.30717
Activated tak1 mediates p38 mapk activation
1.752427
3.643204
-0.329772
0.502095
1.256775
1.435127
1.047986
0.327519
Activation of ampk downstream of nmdars
3.354369
6.451456
0.556697
0.444048
1.771033
1.459842
1.088746
0.328317
Activation of anterior hox genes in hindbrain development during early embryogenesis
6.82767
16.419903
-0.892378
0.411598
3.240657
2.803585
0.837974
0.305784
Activation of atr in response to replication stress
5.179612
19.679612
0.128565
0.65752
3.862538
3.015216
0.744782
0.294269
Activation of bad and translocation to mitochondria
3.813107
7.633495
0.250165
0.4669
2.394679
0.934321
1.09902
0.323145
Activation of bh3 only proteins
4.480583
10.592233
-0.014279
0.576226
2.898294
1.228203
0.904246
0.313298
Activation of caspases through apoptosome mediated cleavage
0.825095
1.726236
-0.045001
0.358859
0.713675
0.837089
1.627594
0.321055
Activation of gene expression by srebf srebp
4.5
17.614078
-0.410479
0.367849
1.993314
2.321093
1.196656
0.27439
Activation of irf3 irf7 mediated by tbk1 ikk epsilon
0.992228
1.823834
-0.450574
0.444633
0.65771
0.66757
1.371054
0.342249
Activation of kainate receptors upon glutamate binding
1.260101
3.166667
0.100119
0.554743
1.047134
1.389899
1.09078
0.332401
Activation of nima kinases nek9 nek6 nek7
1.961165
4.473301
0.147295
0.589598
1.299158
0.616729
0.803239
0.295939
Activation of nmda receptors and postsynaptic events
6.531553
22.640777
0.202718
0.567858
3.686959
3.400755
0.982551
0.33028
Activation of noxa and translocation to mitochondria
0.665049
1.063107
-0.492129
0.350031
0.516186
0.243155
1.53607
0.303944
Activation of ppargc1a pgc 1alpha by phosphorylation
0.927318
2.358396
0.409156
0.547458
0.773775
0.846265
0.96728
0.316338
Activation of puma and translocation to mitochondria
0.73301
1.162621
-0.556117
0.365073
0.522854
0.36902
1.512979
0.31223
Activation of rac1
2.065534
4.580097
-0.143521
0.57488
1.455847
1.157874
0.807835
0.289189
Activation of rac1 downstream of nmdars
0.903553
2.147208
0.047996
0.561109
0.761269
0.782846
1.017095
0.317876
Activation of ras in b cells
0.83871
1
-0.979984
0.294175
0.367799
0
1.577237
0.285592
Activation of smo
0.720874
1.927184
0.463582
0.51009
0.677124
0.806249
1.108555
0.334105
Activation of the ap 1 family of transcription factors
1.328395
2.590123
-0.173831
0.562381
0.890725
0.636271
1.044993
0.323428
Activation of the mrna upon binding of the cap binding complex and eifs and subsequent binding to 43s
21.279126
50.434466
-0.642334
0.450187
8.810973
1.447487
1.403925
0.370747
Activation of the phototransduction cascade
0.850575
1
-1.681978
0.113591
0.356507
0
1.707207
0.183697
Activation of the pre replicative complex
5.68932
20.378641
0.257944
0.622644
4.264391
3.006034
0.812557
0.315151
Activation of the tfap2 ap 2 family of transcription factors
0.472637
1.064677
0.173233
0.18556
0.509118
0.245954
2.168219
0.252582
Acyl chain remodeling of cl
1.281553
2.512136
-0.181679
0.572288
0.894074
0.499853
0.999598
0.321176
Acyl chain remodeling of dag and tag
0.5
1
0.066036
0.237413
0.5
0
1.72841
0.228109
Acyl chain remodelling of pc
0.744526
1.839416
0.543411
0.334714
0.754831
0.911406
1.608552
0.309994
Acyl chain remodelling of pe
0.572052
1.349345
0.201559
0.27525
0.59862
0.476763
1.926457
0.294276
Acyl chain remodelling of pg
0.819951
1.871046
0.571281
0.433891
0.636819
0.424796
1.275993
0.328038
Acyl chain remodelling of pi
0.163588
1
1.596679
0.120125
0.369902
0
1.770737
0.198568
Acyl chain remodelling of ps
0.65995
1.372796
-0.190473
0.319014
0.600363
0.483548
1.778073
0.311433
Adaptive immune system
46.463592
186.400485
0.133943
0.696211
20.00658
16.487633
1.063353
0.356909
Adenylate cyclase activating pathway
0
1
2.893154
0.027096
0
0
1.052861
0.031497
Adenylate cyclase inhibitory pathway
1.643204
2.699029
-0.217591
0.534562
0.950921
0.592591
1.037654
0.313043
Adherens junctions interactions
3.131068
6.61165
-0.49788
0.462421
1.932679
0.875591
0.912294
0.303801
Adora2b mediated anti inflammatory cytokines production
3.740291
8.40534
-0.169146
0.589948
2.458002
1.516342
0.852638
0.309866
Adp signalling through p2y purinoceptor 1
1.296296
2.984127
0.124459
0.520234
1.060117
1.31123
1.182548
0.34051
Adp signalling through p2y purinoceptor 12
2.128641
4.118932
-0.173928
0.513837
1.377861
1.2338
1.003246
0.318916
Adrenaline noradrenaline inhibits insulin secretion
1.568182
3.244949
-0.138577
0.510701
1.12047
1.083904
1.073964
0.326447
Advanced glycosylation endproduct receptor signaling
2.470874
7.907767
-0.161923
0.566197
1.983335
0.973552
0.838755
0.29603
Aflatoxin activation and detoxification
1.262136
3.118932
-0.129819
0.570208
0.875349
0.715929
0.963846
0.314891
Aggrephagy
5.053398
15.303398
0.017653
0.586042
3.001951
1.710246
0.938844
0.318926
Akt phosphorylates targets in the cytosol
1.587379
4.099515
0.375295
0.452059
1.308907
1.790563
1.197504
0.327627
Akt phosphorylates targets in the nucleus
0.382609
1.330435
1.235729
0.217929
0.552978
0.575667
1.606463
0.258835
Alk mutants bind tkis
2.538835
6.196602
-0.37757
0.582875
1.70691
0.799082
0.706174
0.286612
Alpha defensins
0.875
1
-2.308052
0.063486
0.330719
0
1.714601
0.165625
Alpha linolenic omega3 and linoleic omega6 acid metabolism
2.259709
6.533981
0.064335
0.557238
1.585134
0.890244
0.846462
0.283808
Alpha oxidation of phytanate
1.541262
4.174757
0.539716
0.395866
1.019588
0.67805
1.06551
0.283804
Alpha protein kinase 1 signaling pathway
0.941176
1.368984
-0.750596
0.326247
0.638987
0.48253
1.591813
0.308766
Amino acid transport across the plasma membrane
1.601942
3.946602
0.679822
0.349759
1.2195
1.039073
1.144087
0.296573
Amino acids regulate mtorc1
3.975728
12.313107
-0.180672
0.687583
2.642886
1.739468
0.580471
0.254127
Ampk inhibits chrebp transcriptional activation activity
0.238739
1.004505
0.916731
0.243902
0.426313
0.066964
1.664642
0.265435
Amyloid fiber formation
2.23301
6.373786
-0.277494
0.439356
1.249885
1.346009
1.118928
0.307414
Anchoring of the basal body to the plasma membrane
10.25
32.033981
0.617759
0.492907
4.597184
4.443148
0.975258
0.348633
Androgen biosynthesis
0.264563
1
1.10753
0.175642
0.4411
0
1.893347
0.243727
Anti inflammatory response favouring leishmania parasite infection
4.533981
13.390777
-0.110189
0.703491
3.385622
2.684948
0.624775
0.26665
Antigen activates b cell receptor bcr leading to generation of second messengers
0.990291
2.854369
0.424793
0.527866
0.870165
1.006366
0.947885
0.313973
Antigen presentation folding assembly and peptide loading of class i mhc
4.368932
15.359223
0.488544
0.552321
2.155329
1.853123
0.787308
0.308703
Antigen processing cross presentation
13.364078
51.038835
0.660634
0.545645
6.483622
2.525299
1.042253
0.365983
Antigen processing ubiquitination proteasome degradation
25.228155
89.885922
0.30405
0.534908
12.844718
7.994482
1.423534
0.383588
Antimicrobial peptides
1.131068
2.470874
-0.833153
0.335816
0.742147
0.701335
1.323715
0.300491
Antiviral mechanism by ifn stimulated genes
15.502427
50.213592
-0.394075
0.684298
6.747347
2.327132
0.543724
0.280244
Apc c cdc20 mediated degradation of cyclin b
4.09466
10.81068
0.44395
0.577212
2.351052
1.544826
0.760445
0.308945
Apc c cdh1 mediated degradation of cdc20 and other apc c cdh1 targeted proteins in late mitosis early g1
14.026699
48.65534
0.563634
0.564192
7.183906
2.917581
1.179923
0.375345
Apc c mediated degradation of cell cycle proteins
16.580097
56.259709
0.489499
0.584645
8.225929
3.549652
1.213496
0.375532
Apc cdc20 mediated degradation of nek2a
3.701456
11.298544
0.245998
0.637593
2.280287
1.93604
0.723746
0.299947
Apex1 independent resolution of ap sites via the single nucleotide replacement pathway
1.342233
2.48301
-0.264252
0.541678
0.914746
0.609156
1.048526
0.32195
Apobec3g mediated resistance to hiv 1 infection
1.76699
2.956311
-0.701626
0.453728
0.962439
0.204403
0.917113
0.293707
Apoptosis
22.723301
88.148058
0.039353
0.605131
11.015265
5.029517
1.033074
0.34103
Apoptosis induced dna fragmentation
4.461165
9.480583
-1.239678
0.241394
1.815774
0.795687
1.19554
0.28131
Apoptotic cleavage of cell adhesion proteins
1.978155
5.764563
-0.312456
0.478424
1.406299
0.884278
0.991486
0.302761
Apoptotic cleavage of cellular proteins
5.93932
18.621359
-0.055732
0.593031
3.220641
2.312341
0.880138
0.302688
Apoptotic execution phase
8.410194
29.614078
-0.64981
0.495653
4.02591
2.505159
1.027073
0.345875
Apoptotic factor mediated response
1.968447
6.368932
0.202077
0.54842
1.570812
1.781732
0.90841
0.310801
Aquaporin mediated transport
2.029126
5.621359
0.153561
0.608444
1.497288
1.362583
0.816656
0.311672
Arachidonate production from dag
0.934466
2.32767
-0.965187
0.21927
0.475697
0.655012
1.541942
0.236446
Arachidonic acid metabolism
2.63835
7.847087
-0.514439
0.307524
1.141786
1.179689
1.278189
0.247237
Arms mediated activation
0.798544
1.93932
0.238171
0.492695
0.770007
0.719835
1.210615
0.320663
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