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Table · dataset · 2022

RuyuanWan/SChem_Disagreement

Listed in Hugging Face Datasets

Description

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: github.com/minnesotanlp/Quantifying-Annotation-Disagreement Source Data: Social Chemistry 101(Forbes et al. 2020)

Links

Catalogue records · 1

Topics

Stated by source
tabular · text · text classification
Inferred from text
Artificial intelligence 68% · Text 75%
Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
Hugging Face DatasetsRuyuanWan/SChem_Disagreement11 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].anzsrc:group:4602enrichment · Hugging Facetaxonomy-embedding@1.1.0title+keywords+description (68%)
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:tabularsource · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:textsource · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].local:modality:textenrichment · Hugging Facekeyword-concept-rules@1.0.0title+description (75%)
concepts[task].hf_task:text-classificationsource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0