Published April 1, 2024
| Version v1
Dataset
Open
AskDoc Chemical Entity NER Dataset for Gender Bias Analysis
Authors/Creators
Description
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 dataset
askdoc_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.
Files
Datasheet.pdf
Files
(968.6 kB)
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