Datasets:

Modalities:
Tabular
Text
Formats:
parquet
Languages:
English
Libraries:
Datasets
pandas
License:
thibaudltn commited on
Commit
052f01d
1 Parent(s): a27b560

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +8 -0
README.md CHANGED
@@ -34,8 +34,16 @@ The version shared here is the version proposed by (Ravgofel et al., 2020) which
34
 
35
  The dataset is divided between train (257,000 samples), test (99,000 samples) and dev (40,000 samples) sets.
36
 
 
 
 
 
 
 
 
37
  Below are presented the classifiaction and sensitive attribtues labels and their proportion. Distributions are similar through the three sets.
38
 
 
39
  #### Classification labels
40
 
41
  | Profession | Numerical label | Proportion (%)| | Profession | Numerical label | Proportion (%)|
 
34
 
35
  The dataset is divided between train (257,000 samples), test (99,000 samples) and dev (40,000 samples) sets.
36
 
37
+ To load each all splits ('train', 'dev', 'test'), use the following code :
38
+ ```python
39
+ train_dataset = load_dataset("LabHC/bias_in_bios", split='train')
40
+ test_dataset = load_dataset("LabHC/bias_in_bios", split='test')
41
+ dev_dataset = load_dataset("LabHC/bias_in_bios", split='dev')
42
+ ```
43
+
44
  Below are presented the classifiaction and sensitive attribtues labels and their proportion. Distributions are similar through the three sets.
45
 
46
+
47
  #### Classification labels
48
 
49
  | Profession | Numerical label | Proportion (%)| | Profession | Numerical label | Proportion (%)|