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Datasets:
facebook
/
md_gender_bias

Tasks:
Text Classification
Languages:
English
Size:
100K<n<1M
ArXiv:
Tags:
gender-bias
License:
Dataset card Files Community
5
albertvillanova HF staff commited on
Commit
89ce158
•
1 Parent(s): 5529e55

Replace YAML keys from int to str

Browse files

Replace YAML metadata integer keys with strings, as the Hub does not support integers.
See: https://github.com/huggingface/datasets/issues/5275

Files changed (1) hide show
  1. README.md +40 -40
README.md CHANGED
@@ -1,5 +1,4 @@
1
  ---
2
- pretty_name: Multi-Dimensional Gender Bias Classification
3
  annotations_creators:
4
  - crowdsourced
5
  - found
@@ -29,6 +28,7 @@ task_categories:
29
  - text-classification
30
  task_ids: []
31
  paperswithcode_id: md-gender
 
32
  configs:
33
  - convai2_inferred
34
  - funpedia
@@ -63,8 +63,8 @@ dataset_info:
63
  dtype:
64
  class_label:
65
  names:
66
- 0: M
67
- 1: F
68
  - name: count
69
  dtype: int32
70
  splits:
@@ -497,28 +497,28 @@ dataset_info:
497
  list:
498
  class_label:
499
  names:
500
- 0: ABOUT:female
501
- 1: ABOUT:male
502
- 2: PARTNER:female
503
- 3: PARTNER:male
504
- 4: SELF:female
505
- 5: SELF:male
506
  - name: class_type
507
  dtype:
508
  class_label:
509
  names:
510
- 0: about
511
- 1: partner
512
- 2: self
513
  - name: turker_gender
514
  dtype:
515
  class_label:
516
  names:
517
- 0: man
518
- 1: woman
519
- 2: nonbinary
520
- 3: prefer not to say
521
- 4: no answer
522
  - name: episode_done
523
  dtype: bool_
524
  - name: confidence
@@ -541,9 +541,9 @@ dataset_info:
541
  dtype:
542
  class_label:
543
  names:
544
- 0: gender-neutral
545
- 1: female
546
- 2: male
547
  splits:
548
  - name: train
549
  num_bytes: 3225542
@@ -588,9 +588,9 @@ dataset_info:
588
  dtype:
589
  class_label:
590
  names:
591
- 0: gender-neutral
592
- 1: female
593
- 2: male
594
  splits:
595
  - name: train
596
  num_bytes: 1158785
@@ -611,17 +611,17 @@ dataset_info:
611
  dtype:
612
  class_label:
613
  names:
614
- 0: ABOUT:female
615
- 1: ABOUT:male
616
  - name: binary_score
617
  dtype: float32
618
  - name: ternary_label
619
  dtype:
620
  class_label:
621
  names:
622
- 0: ABOUT:female
623
- 1: ABOUT:male
624
- 2: ABOUT:gender-neutral
625
  - name: ternary_score
626
  dtype: float32
627
  splits:
@@ -644,17 +644,17 @@ dataset_info:
644
  dtype:
645
  class_label:
646
  names:
647
- 0: ABOUT:female
648
- 1: ABOUT:male
649
  - name: binary_score
650
  dtype: float32
651
  - name: ternary_label
652
  dtype:
653
  class_label:
654
  names:
655
- 0: ABOUT:female
656
- 1: ABOUT:male
657
- 2: ABOUT:gender-neutral
658
  - name: ternary_score
659
  dtype: float32
660
  splits:
@@ -677,17 +677,17 @@ dataset_info:
677
  dtype:
678
  class_label:
679
  names:
680
- 0: ABOUT:female
681
- 1: ABOUT:male
682
  - name: binary_score
683
  dtype: float32
684
  - name: ternary_label
685
  dtype:
686
  class_label:
687
  names:
688
- 0: ABOUT:female
689
- 1: ABOUT:male
690
- 2: ABOUT:gender-neutral
691
  - name: ternary_score
692
  dtype: float32
693
  splits:
@@ -710,8 +710,8 @@ dataset_info:
710
  dtype:
711
  class_label:
712
  names:
713
- 0: ABOUT:female
714
- 1: ABOUT:male
715
  - name: binary_score
716
  dtype: float32
717
  splits:
 
1
  ---
 
2
  annotations_creators:
3
  - crowdsourced
4
  - found
 
28
  - text-classification
29
  task_ids: []
30
  paperswithcode_id: md-gender
31
+ pretty_name: Multi-Dimensional Gender Bias Classification
32
  configs:
33
  - convai2_inferred
34
  - funpedia
 
63
  dtype:
64
  class_label:
65
  names:
66
+ '0': M
67
+ '1': F
68
  - name: count
69
  dtype: int32
70
  splits:
 
497
  list:
498
  class_label:
499
  names:
500
+ '0': ABOUT:female
501
+ '1': ABOUT:male
502
+ '2': PARTNER:female
503
+ '3': PARTNER:male
504
+ '4': SELF:female
505
+ '5': SELF:male
506
  - name: class_type
507
  dtype:
508
  class_label:
509
  names:
510
+ '0': about
511
+ '1': partner
512
+ '2': self
513
  - name: turker_gender
514
  dtype:
515
  class_label:
516
  names:
517
+ '0': man
518
+ '1': woman
519
+ '2': nonbinary
520
+ '3': prefer not to say
521
+ '4': no answer
522
  - name: episode_done
523
  dtype: bool_
524
  - name: confidence
 
541
  dtype:
542
  class_label:
543
  names:
544
+ '0': gender-neutral
545
+ '1': female
546
+ '2': male
547
  splits:
548
  - name: train
549
  num_bytes: 3225542
 
588
  dtype:
589
  class_label:
590
  names:
591
+ '0': gender-neutral
592
+ '1': female
593
+ '2': male
594
  splits:
595
  - name: train
596
  num_bytes: 1158785
 
611
  dtype:
612
  class_label:
613
  names:
614
+ '0': ABOUT:female
615
+ '1': ABOUT:male
616
  - name: binary_score
617
  dtype: float32
618
  - name: ternary_label
619
  dtype:
620
  class_label:
621
  names:
622
+ '0': ABOUT:female
623
+ '1': ABOUT:male
624
+ '2': ABOUT:gender-neutral
625
  - name: ternary_score
626
  dtype: float32
627
  splits:
 
644
  dtype:
645
  class_label:
646
  names:
647
+ '0': ABOUT:female
648
+ '1': ABOUT:male
649
  - name: binary_score
650
  dtype: float32
651
  - name: ternary_label
652
  dtype:
653
  class_label:
654
  names:
655
+ '0': ABOUT:female
656
+ '1': ABOUT:male
657
+ '2': ABOUT:gender-neutral
658
  - name: ternary_score
659
  dtype: float32
660
  splits:
 
677
  dtype:
678
  class_label:
679
  names:
680
+ '0': ABOUT:female
681
+ '1': ABOUT:male
682
  - name: binary_score
683
  dtype: float32
684
  - name: ternary_label
685
  dtype:
686
  class_label:
687
  names:
688
+ '0': ABOUT:female
689
+ '1': ABOUT:male
690
+ '2': ABOUT:gender-neutral
691
  - name: ternary_score
692
  dtype: float32
693
  splits:
 
710
  dtype:
711
  class_label:
712
  names:
713
+ '0': ABOUT:female
714
+ '1': ABOUT:male
715
  - name: binary_score
716
  dtype: float32
717
  splits: