first-name
us_ssa_gender_neutral_first_namesThis is the official dataset for Beyond Binary Gender Labels: Revealing Gender Bias in LLMs through Gender-Neutral Name Predictions
Name-based gender prediction has traditionally categorized individuals as either female or male based on their names, using a binary classification system. That binary approach can be problematic in the cases of gender-neutral names that do not align with any one gender, among other reasons. Relying solely on binary gender categories without recognizing… See the full description on the dataset page: https://huggingface.co/datasets/uzw/us_ssa_gender_neutral_first_names.FirstnameAndLastnameOnly_Nov06french_first_names_insee_2024
French First Names from Death Records (1970-2024)
This dataset contains French first names extracted from death records provided by INSEE (French National Institute of Statistics and Economic Studies) covering the period from 1970 to September 2024.
Dataset Description
Data Source
The data is sourced from INSEE's death records database. It includes first names of deceased individuals in France, providing valuable insights into naming patterns across different… See the full description on the dataset page: https://huggingface.co/datasets/eltorio/french_first_names_insee_2024.thai-firstname-corpus
Thai Firstname Corpus
Overview
The Thai Firstname Corpus is a collection of 8,273 unique Thai first names, designed for various linguistic and technological applications. While comprehensive, this dataset may not cover all Thai names in existence.
Features & Structure
Language: Thai (th-TH)
Total Names: 8,273
Format: Single-field dataset containing only Thai first names
Field:
name (string) – A Thai first name
Potential Applications
This dataset… See the full description on the dataset page: https://huggingface.co/datasets/suchut/thai-firstname-corpus.canada_ssa_gender_neutral_first_namesThis is the official dataset for Beyond Binary Gender Labels: Revealing Gender Bias in LLMs through Gender-Neutral Name Predictions
Name-based gender prediction has traditionally categorized individuals as either female or male based on their names, using a binary classification system. That binary approach can be problematic in the cases of gender-neutral names that do not align with any one gender, among other reasons. Relying solely on binary gender categories without recognizing… See the full description on the dataset page: https://huggingface.co/datasets/uzw/canada_ssa_gender_neutral_first_names.rlvr-code-view-tool-new-first-turn-only-user-with-repo-name