Datasets:
Tasks:
Text Classification
Languages:
English
Multilinguality:
monolingual
Language Creators:
find
Annotations Creators:
crowdsourced
Source Datasets:
extended
Tags:
File size: 784 Bytes
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---
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> |