chrom
large_stringlengths
1
2
pos
int64
14.9k
249M
ref
large_stringlengths
1
1
alt
large_stringlengths
1
1
label
bool
2 classes
GPN-MSA
float32
-13.38
12.6
CADD
float64
-8.77
4.33
phyloP-100v
float64
-10
20
phyloP-241m
float64
-8.9
20
phastCons-100v
float64
-1
-0
ESM-1b
float64
-19.5
12
1
69,511
A
G
false
1.493164
-0.112916
0.684
-3.29
-0
null
1
953,279
T
C
false
2.578125
-0.266107
-0.037
-1.27
-0.009
-2.88
1
973,858
G
C
false
1.5625
-0.787153
0.431
-0.835
-0
-2.538
1
973,929
T
C
false
-1.328125
-0.818047
-0.076
0.539
-0.001
-3.377
1
976,215
A
G
false
-2.527344
-1.476529
-0.054
0.421
-0
-5.335
1
978,953
C
G
false
1.72168
0.096301
0.22
0.223
-0
-3.781
1
999,842
C
A
false
-1.387695
-0.472275
0.582
1.508
-0
null
1
1,014,228
G
A
false
-2.003906
-0.027262
0.396
0.787
-0
-4.136
1
1,072,052
G
A
false
-0.551758
0.862209
1.398
4.07
-0
-5.237
1
1,179,288
G
A
false
0.321289
-0.167083
0.447
-0.13
-0
-3.748
1
1,180,851
T
C
false
1.851563
-0.21429
-0.026
-1.845
-0
-2.236
1
1,197,558
G
A
false
-2.478516
-1.409054
-1.648
-0.167
-0.014
-7.455
1
1,211,863
A
C
false
-1.439453
-0.136844
0.141
-0.007
-0.002
null
1
1,211,917
G
A
false
-0.191895
-0.013032
0.135
0.028
-0
null
1
1,212,042
C
T
false
-3.046875
-0.52087
-0.003
-3.889
-0.003
null
1
1,212,898
C
T
false
-0.602051
-0.438368
0.235
4.258
-0
null
1
1,232,800
G
C
false
-1.115234
-0.830179
-0.466
1.097
-0.998
-2.994
1
1,243,102
A
G
false
5.085938
-1.275063
-2.096
-5.327
-0.99
3.157
1
1,243,545
G
A
false
-7.59375
-2.557367
-7.839
-6.608
-1
-9.774
1
1,264,812
C
G
false
4.078125
-1.274881
0.188
0.183
-0.719
0.67
1
1,285,621
A
G
false
-1.320313
-1.028294
1.673
0.04
-0
-2.734
1
1,288,005
G
C
false
3.164063
-0.149565
0.07
-3.204
-0
-1.253
1
1,291,377
G
A
false
0.023026
-0.44613
0.087
-1.21
-0
-4.715
1
1,291,509
G
A
false
0.664063
0.265035
2.719
4.19
-0
-4.258
1
1,319,063
G
A
false
-0.026367
0.448394
2.002
0.861
-0
null
1
1,332,271
G
A
false
-0.956543
0.611933
2.457
4.275
-0
-3.367
1
1,334,108
G
A
false
-0.147461
-0.004351
-0.198
1.406
-0
-6.573
1
1,420,203
C
A
false
-1.3125
-2.239272
1.246
-0.527
-0
-10.381
1
1,426,261
C
T
false
1.09375
-0.466194
0.724
-0.952
-0
-1.575
1
1,452,384
G
A
false
-4.957031
-4.322648
-8.17
-8.528
-1
-13.144
1
1,495,605
C
T
false
-1.003906
-0.735766
0.688
0.039
-0
-4.705
1
1,512,312
G
A
false
-5.585938
-2.55411
-3.349
-8.396
-0.999
-3.698
1
1,517,186
G
A
false
-1.466797
-0.71163
-1.385
-2.202
-0.011
-4.841
1
1,616,547
T
C
false
1.503906
-0.54761
0.394
0.175
-0
null
1
1,640,423
C
T
false
-4.613281
-2.384015
-5.637
-3.468
-0.995
-7.286
1
1,641,819
C
T
false
0.884766
-0.617502
-0.039
0.278
-0.987
null
1
1,668,373
C
T
false
-3.203125
-1.409952
-3.753
-2.372
-0.998
-5.63
1
1,668,449
A
G
false
0.150391
0.356083
0.521
3.961
-0.048
null
1
1,707,486
C
T
false
-2.923828
-1.558467
-3.757
-6.882
-0.998
-10.252
1
1,707,555
C
T
false
-3.8125
-2.087687
-4.923
-3.468
-0.984
-7.325
1
1,719,406
G
A
false
-1.825195
-4.246027
-6.251
-5.87
-1
-7.366
1
1,754,601
G
T
false
-6.25
0.4479
1.13
6.418
-0.005
-5.367
1
1,916,540
T
C
false
2.607422
-1.204282
0.175
1.396
-0
2.522
1
1,918,090
A
G
false
-3.164063
-0.828084
-1.22
-0.809
-0.013
-3.629
1
1,918,091
T
C
false
-2.382813
-0.067017
0.082
0.16
-0.001
-2.649
1
1,918,484
C
A
false
-2.439453
-0.529345
0.094
0.465
-0.014
-3.765
1
1,923,107
C
T
false
-3.990234
-2.031239
-0.55
-5.883
-0.438
-3.655
1
1,927,692
C
T
false
0.583008
1.649318
3.588
5.924
-0
-4.229
1
1,927,737
T
C
false
1.25293
-0.435867
0.144
-3.951
-0
-2.232
1
1,930,143
C
T
false
-6.273438
-3.552757
-3.98
-6.968
-1
-7.93
1
1,942,086
T
C
false
3.904297
-1.532497
-2.516
-1.494
-0.999
-7.38
1
1,944,419
C
G
false
-7.394531
-2.364683
-1.874
-4.094
-0.939
-9.653
1
1,968,793
T
C
false
2.328125
0.478732
-0.054
-0.904
-0.001
-4.6
1
2,025,598
T
C
false
3.611328
-1.082832
1.217
-0.193
-0
null
1
2,029,235
C
T
false
-0.580078
-0.219853
0.476
1.463
-0.112
null
1
2,193,733
G
A
false
-1.341797
-0.285874
0.118
-0.297
-0
-4.024
1
2,228,951
C
G
false
-7.238281
-2.898948
-1.587
-5.155
-1
-3.98
1
2,430,581
G
T
false
-2.886719
-0.784373
-0.073
2.269
-0
null
1
2,509,919
T
C
false
0.943359
0.013537
1.142
0.23
-0
-3.214
1
2,512,975
G
A
false
-3.662109
-1.970945
-3.998
-4.597
-0.61
-6.44
1
2,556,714
A
G
false
-0.836426
-0.451203
1.268
1.328
-0
-1.235
1
2,562,891
G
A
false
-0.208008
0.730034
2.026
3.287
-0
-3.62
1
2,595,307
A
G
false
1.491211
1.702114
2.273
6.32
-0
-5.036
1
2,800,059
C
T
false
-0.524414
-0.216149
-0.524
-0.467
-0
null
1
3,022,425
G
A
false
-6.765625
-3.676768
-6.676
-6.789
-1
-8.122
1
3,412,095
C
T
false
-4.460938
-2.384755
-4.653
-3.25
-1
-6.268
1
3,473,163
C
T
false
-5.140625
-1.426175
-1.729
-5.333
-0.681
-8.124
1
3,494,017
G
A
false
-4.394531
-0.033623
-0.771
-1.944
-0
-6.066
1
3,494,409
C
T
false
-1.060547
1.078686
7.111
6.721
-0
-3.219
1
3,497,304
C
G
false
-4.730469
-1.726461
-0.8
-0.692
-0.104
-6.124
1
3,497,541
C
T
false
-4.125
-0.831787
-2.746
-2.785
-0.76
null
1
3,505,333
A
G
false
1.557617
-0.610779
-1.398
-0.862
-0.004
-0.87
1
3,507,824
G
A
false
-3.925781
-3.351424
-5.604
-3.236
-1
-7.972
1
3,512,044
G
A
false
-3.664063
-2.21538
-5.734
-2.223
-0.979
-6.956
1
3,595,370
A
G
false
3.074219
-0.865236
-0.757
-1.86
-0.468
-1.141
1
3,752,641
C
G
false
1.786133
1.120535
1.373
-0.218
-0
-4.008
1
3,761,369
T
C
false
-0.373779
0.229329
0.597
1.925
-0.531
-2.061
1
3,763,211
C
T
false
0.558105
1.513619
4.489
4.443
-0
-4.287
1
3,763,322
C
T
false
0.021973
1.651928
6.568
0.769
-0
-2.834
1
3,829,360
G
A
false
-2.253906
-2.742005
-2.135
-2.347
-1
-7.244
1
3,836,572
A
T
false
-3.042969
0.038535
0.286
1.467
-0
-4.647
1
3,843,220
A
G
false
0.765137
-0.157686
0.506
0.272
-0.001
-2.372
1
3,860,425
C
T
false
2.324219
-0.241725
0.637
0.804
-0.068
null
1
3,869,681
G
A
false
2.746094
-0.987071
-2.446
-1.729
-1
-4.199
1
3,890,558
G
A
false
-0.515625
0.243785
1.877
0.909
-0
null
1
3,891,607
T
C
false
-0.232666
0.38678
2.356
7.718
-0
null
1
3,892,762
C
T
false
-1.25
-0.172378
0.03
-0.127
-0
null
1
4,712,657
G
A
false
-2.541016
-2.179927
-1.474
-6.476
-0.019
-3.775
1
6,082,379
C
T
false
-1.250977
-0.622828
-0.107
-1.929
-0
null
1
6,124,032
A
G
false
4.714844
-1.830434
-0.362
-3.455
-0.161
-2.164
1
6,130,155
C
T
false
-1.390625
0.132878
1.68
0.177
-0
null
1
6,207,471
C
T
false
-1.673828
-1.781214
-0.961
-0.402
-0.412
-5.259
1
6,212,018
G
A
false
2.572266
0.537066
-0.346
4.152
-0.069
-3.762
1
6,218,354
A
G
false
3.066406
-0.075304
0.309
-0.75
-0
-1.905
1
6,219,310
G
C
false
-1.507813
-0.028565
0.117
-1.875
-0
-4.261
1
6,245,232
C
A
false
-5.835938
-0.960845
-1.81
-3.302
-0.891
-5.028
1
6,253,878
C
T
false
-1.854492
-0.18674
0.046
1.683
-0.653
-4.624
1
6,413,234
A
G
false
1.286133
-0.446791
-0.289
-0.578
-0.001
-2.295
1
6,418,980
G
A
false
-2.335938
-0.509035
0.164
-0.124
-0.001
-3.37
1
6,448,812
C
T
false
-2.498047
-1.356739
0.437
-0.948
-0
-5.094

COSMIC variants

For more information check out our paper and repository.

Usage

  • Pandas
import pandas as pd
df = pd.read_parquet("hf://datasets/songlab/cosmic/test.parquet")
  • Polars
import polars as pl
df = pl.read_parquet("https://huggingface.co/datasets/songlab/cosmic/resolve/main/test.parquet")
  • Datasets
from datasets import load_dataset
dataset = load_dataset("songlab/cosmic", split="test")
Downloads last month
167
Edit dataset card

Collection including songlab/cosmic