Datasets:
Tasks:
Text Classification
Languages:
English
Multilinguality:
monolingual
Language Creators:
found
Annotations Creators:
crowdsourced
Source Datasets:
extended|social_bias_frames
Tags:
| 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> | |