task_categories:text-classification annotations_creators:crowdsourced language_creators:find multilinguality:monolingual source_datasets:extended language:en region:us
---
annotations_creators:
- crowdsourced
language:
- en
language_creators:
- find
license: []
multilinguality:
- monolingual
pretty_name: RuyuanWan/Dynasent_Disagreement
size_categories: []
source_datasets: 
- extended
tags: []
task_categories:
- text-classification
task_ids: []
---

This dataset is processed version of Dynamic Sentiment Analysis (DynaSent) dataset including text 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>

Source Data: [Dynamic Sentiment Analysis Dataset(Potts et al. 2021)](https://github.com/cgpotts/dynasent) <br>