Datasets:

Languages:
English
Multilinguality:
monolingual
Size Categories:
100K<n<1M
Language Creators:
other
Annotations Creators:
crowdsourced
Source Datasets:
original
License:
Sasha Luccioni commited on
Commit
c297970
1 Parent(s): 266cd56

Eval metadata batch 2 : Health Fact, Jigsaw Toxicity, LIAR, LJ Speech, MSRA NER, Multi News, NCBI Disease, Poem Sentiment (#4336)

Browse files

* Eval metadata batch 2 : Health Fact, Jigsaw Toxicity, LIAR, LJ Speech, MSRA NER, Multi News, NCBI Disease, PiQA, Poem Sentiment, QAsper

* Update README.md

fixing header

* Update datasets/piqa/README.md

Co-authored-by: Quentin Lhoest <42851186+lhoestq@users.noreply.github.com>

* Update README.md

changing MSRA NER metric to `seqeval`

* Update README.md

removing ROUGE args

* Update README.md

removing duplicate information

* Update README.md

removing eval for now

* Update README.md

removing eval for now

Co-authored-by: sashavor <sasha.luccioni@huggingface.co>
Co-authored-by: Quentin Lhoest <42851186+lhoestq@users.noreply.github.com>

Commit from https://github.com/huggingface/datasets/commit/095d12ff7414df118f60e00cd6494299a881743a

Files changed (1) hide show
  1. README.md +50 -1
README.md CHANGED
@@ -19,6 +19,55 @@ task_ids:
19
  - multi-label-classification
20
  paperswithcode_id: null
21
  pretty_name: JigsawToxicityPred
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
22
  ---
23
 
24
  # Dataset Card for [Dataset Name]
@@ -57,7 +106,7 @@ pretty_name: JigsawToxicityPred
57
 
58
  ### Dataset Summary
59
 
60
- Discussing things you care about can be difficult. The threat of abuse and harassment online means that many people stop expressing themselves and give up on seeking different opinions. Platforms struggle to effectively facilitate conversations, leading many communities to limit or completely shut down user comments. This dataset consists of a large number of Wikipedia comments which have been labeled by human raters for toxic behavior.
61
 
62
  ### Supported Tasks and Leaderboards
63
 
19
  - multi-label-classification
20
  paperswithcode_id: null
21
  pretty_name: JigsawToxicityPred
22
+ train-eval-index:
23
+ - config: default
24
+ task: text-classification
25
+ task_id: binary_classification
26
+ splits:
27
+ train_split: train
28
+ eval_split: test
29
+ col_mapping:
30
+ comment_text: text
31
+ toxic: target
32
+ metrics:
33
+ - type: accuracy
34
+ name: Accuracy
35
+ - type: f1
36
+ name: F1 macro
37
+ args:
38
+ average: macro
39
+ - type: f1
40
+ name: F1 micro
41
+ args:
42
+ average: micro
43
+ - type: f1
44
+ name: F1 weighted
45
+ args:
46
+ average: weighted
47
+ - type: precision
48
+ name: Precision macro
49
+ args:
50
+ average: macro
51
+ - type: precision
52
+ name: Precision micro
53
+ args:
54
+ average: micro
55
+ - type: precision
56
+ name: Precision weighted
57
+ args:
58
+ average: weighted
59
+ - type: recall
60
+ name: Recall macro
61
+ args:
62
+ average: macro
63
+ - type: recall
64
+ name: Recall micro
65
+ args:
66
+ average: micro
67
+ - type: recall
68
+ name: Recall weighted
69
+ args:
70
+ average: weighted
71
  ---
72
 
73
  # Dataset Card for [Dataset Name]
106
 
107
  ### Dataset Summary
108
 
109
+ Discussing things you care about can be difficult. The threat of abuse and harassment online means that many people stop expressing themselves and give up on seeking different opinions. Platforms struggle to effectively facilitate conversations, leading many communities to limit or completely shut down user comments. This dataset consists of a large number of Wikipedia comments which have been labeled by human raters for toxic behavior.
110
 
111
  ### Supported Tasks and Leaderboards
112