Datasets:
Tasks:
Text Classification
Languages:
English
Multilinguality:
monolingual
Language Creators:
found
Annotations Creators:
crowdsourced
Source Datasets:
extended|social_bias_frames
Tags:
File size: 712 Bytes
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---
annotations_creators:
- crowdsourced
language:
- en
language_creators:
- found
license: []
multilinguality:
- monolingual
pretty_name: RuyuanWan/SBIC_Disagreement
size_categories: []
source_datasets:
- extended|social_bias_frames
tags: []
task_categories:
- text-classification
task_ids: []
---
This dataset is processed version of Social Bias Inference Corpus(SBIC) dataset including text, annotator's demographics and the annotation disagreement labels. <br>
Paper: Everyone's Voice Matters: Quantifying Annotation Disagreement Using Demographic Information <br>
Authors: Ruyuan Wan, Jaehyung Kim, Dongyeop Kang <br>
Github repo: https://github.com/minnesotanlp/Quantifying-Annotation-Disagreement <br>
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