Dataset Viewer
Auto-converted to Parquet Duplicate
patient_id
string
capillary_density
float64
giant_loops
float64
avascular_areas
float64
loop_irregularity
float64
image_quality
float64
device_type
float64
fitzpatrick_type
float64
site_id
float64
label
int64
P0126
4.351156
0.322
0.533
0.896764
4
0
3
0
1
P0199
3.487811
0.28
0.193
0.527731
3
0
1
1
1
P0010
7.614198
0.082
0.03
0.474969
2
1
2
2
0
P0040
6.316779
0.034
0.149
0.342747
3
1
1
0
0
P0018
6.890008
0.251
0.059
0.289827
2
1
3
0
0
P0081
6.961853
0.101
0.023
0.38886
3
1
1
0
0
P0157
6.700266
0.011
0.012
0.269322
3
0
3
0
0
P0291
6.720091
0.032
0.042
0.466234
3
0
2
1
0
P0008
6.821148
0.266
0.219
0.35117
4
0
2
2
0
P0013
4.088011
0.437
0.346
0.600225
2
0
2
1
1
P0228
4.412685
0.357
0.153
0.523953
5
1
2
0
1
P0177
8.096565
0.575
0.016
0.140388
2
2
2
2
0
P0277
8.13867
0.156
0.182
0.247559
5
0
3
0
0
P0110
4.653078
0.773
0.34
0.655254
2
0
3
0
1
P0149
2.593753
0.439
0.516
0.635935
2
0
2
0
1
P0074
5.647506
0.917
0.459
0.688591
4
0
3
2
1
P0279
2.436507
0.486
0.355
0.526836
4
0
2
2
1
P0233
6.027061
0.012
0.043
0.479486
2
1
3
1
0
P0012
7.478198
0.085
0.012
0.482589
null
1
2
2
0
P0176
3.846752
0.842
0.348
0.460049
3
0
1
0
1
P0006
5.88502
0.746
0.391
0.813299
5
1
2
1
1
P0047
2.708846
0.65
0.332
0.547843
3
0
2
2
1
P0173
6.489583
0.235
0.004
0.174496
5
0
1
0
0
P0187
3.993402
0.53
0.248
0.522104
5
1
4
0
1
P0189
6.55434
0.358
0.07
0.379392
2
0
1
0
0
P0079
2.706642
0.709
0.418
0.734608
4
1
2
0
1
P0073
6.183302
0.634
0.325
0.70033
4
0
2
0
1
P0113
7.455711
0.023
0.021
0.30313
2
2
4
0
0
P0302
7.567025
0.216
0.145
0.399434
null
0
1
0
0
P0160
5.842588
0.063
0.163
0.367103
2
0
3
1
0
P0130
2.783939
0.685
0.196
0.756011
4
0
2
0
1
P0238
3.170435
0.487
0.484
0.598383
4
1
2
0
1
P0007
3.475696
0.87
0.551
0.39265
3
1
4
0
1
P0005
6.890446
0.008
0.003
0.247352
null
0
1
2
0
P0153
6.95169
0.101
0.023
0.287599
5
0
4
2
0
P0125
4.78086
0.804
0.261
1
4
2
2
0
1
P0032
7.065257
0.007
0.034
0.357511
4
0
3
0
0
P0209
3.984781
0.749
0.373
0.586587
3
2
2
0
1
P0026
3.617222
0.764
0.3
0.665836
4
1
3
0
1
P0288
6.32642
0.152
0.357
0.309941
4
1
1
1
0
P0034
6.610287
0.072
0.073
0.45327
4
0
2
1
0
P0114
4.029165
0.678
0.534
0.602125
2
1
1
0
1
P0103
5.299125
0.171
0.034
0.335787
4
0
1
0
0
P0095
4.259338
0.954
0.815
0.938289
5
0
3
0
1
P0054
6.459387
0.092
0.221
0.292708
3
0
1
0
0
P0203
2.778312
0.82
0.706
0.886112
3
1
3
1
1
P0248
4.44255
0.823
0.587
0.555618
null
0
1
0
1
P0271
4.355004
0.63
0.624
0.781091
2
0
4
1
1
P0312
4.741398
0.554
0.303
0.319604
3
1
5
1
1
P0050
7.53159
0.027
0.02
0.230267
2
0
1
0
0
P0200
3.288759
0.686
0.591
0.724266
2
1
5
1
1
P0308
4.740618
0.784
0.162
0.637759
2
0
2
1
1
P0179
4.797889
0.882
0.189
0.718056
4
1
3
1
1
P0014
4.255634
0.576
0.528
0.51021
2
1
3
2
1
P0036
4.22749
0.468
0.316
0.572569
2
1
2
1
1
P0243
4.081499
0.767
0.442
0.549119
2
0
3
1
1
P0275
3.845972
0.791
0.551
0.873
5
1
3
2
1
P0259
3.633122
0.8
0.747
0.581422
3
0
2
0
1
P0065
4.233709
0.856
0.175
0.594458
4
0
2
2
1
P0107
8.004481
0.214
0.006
0.299306
5
0
2
2
0
P0253
4.392408
0.217
0.105
0.730503
2
0
3
0
1
P0300
4.357708
0.146
0.554
0.600853
4
0
2
1
1
P0004
3.613204
0.66
0.757
0.840797
4
0
4
0
1
P0127
6.568789
0.08
0.055
0.252882
4
0
5
0
0
P0198
3.829455
0.396
0.461
0.771699
4
0
1
1
1
P0270
4.621101
0.301
0.747
0.605447
3
1
4
1
1
P0070
3.054374
0.813
0.194
0.660957
5
1
4
2
1
P0205
5.093503
0.433
0.233
0.561161
3
1
5
0
1
P0229
6.606003
0.039
0.293
0.350219
2
0
2
1
0
P0120
4.788192
0.66
0.441
0.673799
3
1
2
0
1
P0211
3.64155
0.583
0.307
0.617228
5
0
4
0
1
P0202
7.519346
0.082
0.166
0.216447
3
0
1
2
0
P0072
7.79431
0.179
0.018
0.533344
3
1
2
2
0
P0299
5.344319
0.544
0.553
0.791707
2
0
2
2
1
P0315
6.806874
0.242
0.253
0.21853
4
0
3
0
0
P0106
3.705511
0.36
0.182
0.697355
4
0
3
1
1
P0051
4.74607
0.346
0.697
0.593029
5
0
2
0
1
P0263
4.267313
0.344
0.517
0.778618
5
1
3
0
1
P0247
7.326782
0.365
0.088
0.277936
4
1
2
1
0
P0135
7.005161
0.089
0.033
0.306842
4
1
4
2
0
P0080
4.60699
0.318
0.437
0.761072
2
0
2
1
1
P0039
2.746839
0.92
0.288
0.872787
2
1
3
2
1
P0163
4.370985
0.855
0.377
0.65811
5
0
1
1
1
P0245
7.808025
0.154
0.277
0.36726
2
2
1
2
0
P0117
5.655692
0.268
0.002
0.412305
2
0
4
0
0
P0089
4.596822
0.616
0.447
0.684554
3
0
2
0
1
P0285
4.833683
0.765
0.457
0.8533
5
0
5
1
1
P0311
2.801203
0.63
0.118
0.694121
3
0
2
0
1
P0155
5.067425
0.541
0.135
0.629336
2
2
1
1
1
P0265
3.839753
0.628
0.024
0.416609
2
2
1
1
1
P0101
9.100935
0.051
0.04
0.153726
2
0
2
1
0
P0206
2.597248
0.428
0.204
0.912664
3
0
4
2
1
P0147
4.651636
0.695
0.224
0.591446
3
0
3
2
1
P0021
6.435455
0.149
0.076
0.331354
3
2
3
1
0
P0280
6.290129
0.107
0.035
0.321808
4
0
5
1
0
P0281
3.919598
0.692
0.385
0.74179
2
0
2
0
1
P0092
6.60788
0.099
0.087
0.478644
3
0
2
2
0
P0188
4.541099
0.905
0.179
0.672412
2
1
4
1
1
P0096
5.521997
0.737
0.286
0.76121
4
0
2
0
1
P0165
3.351361
0.246
0.683
0.677618
4
1
2
0
1
End of preview. Expand in Data Studio

Synthetic NFC/SSc Tabular Dataset

This dataset is a small synthetic tabular dataset designed for testing connector workflows.

Dataset purpose

The dataset simulates nailfold capillaroscopy-inspired features for binary classification of systemic sclerosis-like status.

It is intended for:

  • educational examples
  • connector testing
  • MLflow logging demonstrations
  • DataFrameConnector testing
  • Hugging Face metadata/provenance connector testing

Important limitation

This dataset is synthetic. It does not contain real patient data and must not be used for clinical decision-making, diagnostic validation, or regulatory performance claims.

Files

  • data/nfc_synthetic_full.csv: full synthetic dataset
  • data/train.csv: training split
  • data/test.csv: test split

Columns

  • patient_id: synthetic patient identifier
  • capillary_density: simulated capillary density
  • giant_loops: simulated abnormality score
  • avascular_areas: simulated abnormality score
  • loop_irregularity: simulated irregularity score
  • image_quality: simulated image-quality score with missingness
  • device_type: synthetic device/site acquisition variable
  • fitzpatrick_type: synthetic skin-type variable
  • site_id: synthetic acquisition-site variable
  • label: binary class label; 0 = non-SSc-like, 1 = SSc-like

Citation

This dataset was generated for demonstration workflows.

Ethical note

No real patient data are included. All records are synthetic and generated by simulation.

Downloads last month
45