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资源简介：
Results for TFP.
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创建时间：
2023-02-15
相关数据集
CORGI-PM
CORGI-PM是由北京人工智能研究院等机构联合创建的中文数据集，旨在探测和缓解性别偏见。该数据集包含32,900条高质量标注的句子，涵盖性别偏见与非偏见样本。数据集通过特定的标注方案和专业背景的标注者进行创建，主要用于性别偏见的自动检测、分类和缓解。CORGI-PM的应用领域主要集中在自然语言处理中性别偏见的探测与缓解，为解决文本中的性别偏见问题提供了重要资源。
arXiv2023-01-01 更新440
buseskorkmaz/hiring_w_q_context_256_filtered_biasinbios_occ_q_val_w_noise
--- dataset_info: features: - name: text dtype: string - name: CommentTime dtype: string - name: CommentAuthor dtype: string - name: ParentTitle dtype: string - name: clean
Hugging Face2024-05-16 更新120
Replication Data for: Gender Bias in Nobel Prize
Two datasets: One holds the number of female vs total number of nobel Laureates for each year Other holds the number of US faculty members (in thousands) within the scientific disciplins: "Physical
DataCite Commons2025-05-12 更新80
Expertise Fails to Attenuate Gendered Biases in Judicial Decision-Making
Compares the role of gender ideology in judges' and laypeople's decision-making
DataCite Commons2025-06-01 更新130
Supplementary data and materials
In this paper we meticulously examined a Word Embedding model in Portuguese, endeavoring to identify gender biases through diverse analytical perspectives, employing SC-WEAT and RIPA metrics that is w
Figshare2025-07-06 更新80
