This dataset accompanies the paper "Inferring Gender from Author Names with Local LLMs: A Multi-Model Evaluation" (Journal of Informetrics, 2026). It contains 194,528 first name–country pairs derived

Zenodo2026-05-25 更新00

Names misgendered more than once, gender R package, IPUMS method.

姓名性别推断

数据质量评估

Names misgendered more than once, gender R package, IPUMS method.

Figshare2024-10-29 更新10

Replication Data for: Inferring Gender from First Names: Comparing the Accuracy of Genderize, Gender API, and the gender R Package on Authors of Diverse Nationality

姓名性别推断

算法评估

This dataset includes four files relevant to the submitted manuscript: Inferring Gender from First Names: Comparing the Accuracy of Genderize, Gender API, and the gender R Package on Authors of Divers

NIAID Data Ecosystem00

Names misgendered more than once, gender R package, SSA method.

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