Datasets:
Tasks:
Text Classification
Languages:
English
Multilinguality:
monolingual
Language Creators:
found
Annotations Creators:
crowdsourced
Source Datasets:
extended|social_bias_frames
Tags:
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This dataset is processed version of Social Bias Inference Corpus(SBIC) dataset including text, annotator's demographics and the annotation disagreement labels. <br>
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Paper: Everyone's Voice Matters: Quantifying Annotation Disagreement Using Demographic Information <br>
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Authors: Ruyuan Wan, Jaehyung Kim, Dongyeop Kang <br>
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Github repo: https://github.com/minnesotanlp/Quantifying-Annotation-Disagreement <br>
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Source Data: [Social Bias Inference Corpus(Sap et al. 2020)](https://maartensap.com/social-bias-frames/index.html) <br>
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---
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annotations_creators:
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- crowdsourced
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language:
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- en
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language_creators:
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- found
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license: []
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multilinguality:
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- monolingual
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pretty_name: RuyuanWan/SBIC_Disagreement
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size_categories: []
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source_datasets:
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- extended|social_bias_frames
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tags: []
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task_categories:
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- text-classification
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task_ids: []
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---
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This dataset is processed version of Social Bias Inference Corpus(SBIC) dataset including text, annotator's demographics and the annotation disagreement labels. <br>
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Paper: Everyone's Voice Matters: Quantifying Annotation Disagreement Using Demographic Information <br>
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Authors: Ruyuan Wan, Jaehyung Kim, Dongyeop Kang <br>
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Github repo: https://github.com/minnesotanlp/Quantifying-Annotation-Disagreement <br>
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