---
annotations_creators:
- crowdsourced
language:
- en
language_creators:
- crowdsourced
license: []
multilinguality:
- monolingual
pretty_name: RuyuanWan/SChem_Disagreement
size_categories: []
source_datasets:
- extended
tags: []
task_categories:
- text-classification
task_ids: []
---
This dataset is processed version of Social Chemistry 101(SChem) dataset including text and the annotation disagreement labels.
Paper: Everyone's Voice Matters: Quantifying Annotation Disagreement Using Demographic Information
Authors: Ruyuan Wan, Jaehyung Kim, Dongyeop Kang
Github repo: https://github.com/minnesotanlp/Quantifying-Annotation-Disagreement
Source Data: [Social Chemistry 101(Forbes et al. 2020)](https://github.com/mbforbes/social-chemistry-101)