遇见数据集

AskDoc Chemical Entity NER Dataset for Gender Bias Analysis

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Zenodo2024-04-01 更新2026-05-26 收录
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资源简介:

This repository contains the dataset for the NAACL 2024 paper titled, "A Comprehensive Study of Gender Bias in Chemical Named Entity Recognition Models." The dataset contains two files: askdoc_female.conll - Female AskDoc datasetaskdoc_male.conll - Male AskDoc dataset These files contain annotated AskDoc data with chemical mentions from r/AskDocs on Reddit. The female file contains examples from people that self-identify as female and the male file contains data for people that self-identify as male. A comprehensive datasheet is also provided.

提供机构:
Zenodo
创建时间:
2024-04-01
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