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Update WinoBias README #4631

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19 changes: 11 additions & 8 deletions datasets/wino_bias/README.md
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Expand Up @@ -58,8 +58,7 @@ pretty_name: WinoBias
### Dataset Summary

WinoBias, a Winograd-schema dataset for coreference resolution focused on gender bias.
The corpus contains Winograd-schema style sentences with entities corresponding to people
referred by their occupation (e.g. the nurse, the doctor, the carpenter).
The corpus contains Winograd-schema style sentences with entities corresponding to people referred by their occupation (e.g. the nurse, the doctor, the carpenter).

### Supported Tasks and Leaderboards

Expand All @@ -72,7 +71,11 @@ English

### Data Instances

[More Information Needed]
The dataset has 4 subsets: `type1_pro`, `type1_anti`, `type2_pro` and `type2_anti`.

The `*_pro` subsets contain sentences that reinforce gender stereotypes (e.g. mechanics are male, nurses are female), whereas the `*_anti` datasets contain "anti-stereotypical" sentences (e.g. mechanics are female, nurses are male).

The `type1` (*WB-Knowledge*) subsets contain sentences for which world knowledge is necessary to resolve the co-references, and `type2` (*WB-Syntax*) subsets require only the syntactic information present in the sentence to resolve them.

### Data Fields

Expand All @@ -97,7 +100,7 @@ Dev and Test Split available

### Curation Rationale

[More Information Needed]
The WinoBias dataset was introduced in 2018 (see [paper](https://arxiv.org/abs/1804.06876)), with its original task being *coreference resolution*, which is a task that aims to identify mentions that refer to the same entity or person.

### Source Data

Expand All @@ -107,7 +110,7 @@ Dev and Test Split available

#### Who are the source language producers?

[More Information Needed]
The dataset was created by researchers familiar with the WinoBias project, based on two prototypical templates provided by the authors, in which entities interact in plausible ways.

### Annotations

Expand All @@ -117,7 +120,7 @@ Dev and Test Split available

#### Who are the annotators?

[More Information Needed]
"Researchers familiar with the [WinoBias] project"

### Personal and Sensitive Information

Expand All @@ -131,7 +134,7 @@ Dev and Test Split available

### Discussion of Biases

Gender Bias is discussed with the help of this dataset.
[Recent work](https://www.microsoft.com/en-us/research/uploads/prod/2021/06/The_Salmon_paper.pdf) has shown that this dataset contains grammatical issues, incorrect or ambiguous labels, and stereotype conflation, among other limitations.

### Other Known Limitations

Expand All @@ -141,7 +144,7 @@ Gender Bias is discussed with the help of this dataset.

### Dataset Curators

[More Information Needed]
Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez and Kai-Wei Chan

### Licensing Information

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