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Table · dataset · 2022

StereoSet

Listed in Hugging Face Datasets

Dataset Card for StereoSet Dataset

Description

Summary

StereoSet is a dataset that measures stereotype bias in language models. StereoSet consists of 17,000 sentences that measures model preferences across gender, race, religion, and profession. Supported Tasks and Leaderboards multiple-choice question answering Languages English (en) Dataset Structure Data Instances #intersentence {'bias_type': 'race', 'context': 'Many people live in… See the full description on the dataset page: huggingface.co/datasets/McGill-NLP/stereoset.

Links

Where it is published

Documentation and papers

Catalogue records · 1

Topics

Stated by source
text · text classification
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
Hugging Face DatasetsMcGill-NLP/stereoset11 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:textsource · Hugging Faceconnector:huggingface@1.0.0
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
licensesource · Hugging Faceconnector:huggingface@1.0.0/tags[license:*]
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0