datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
common-voice-17-en-age-gender-accentgender-by-name
Dataset Card for "Gender-by-Name"
This dataset attributes first names to genders, giving counts and probabilities. It combines open-source government data from the US, UK, Canada, and Australia. The dataset is taken from UCI Machine Learning Repository
Dataset Information
This dataset combines raw counts for first/given names of male and female babies in those time periods, and then calculates a probability for a name given the aggregate count. Source datasets are from… See the full description on the dataset page: https://huggingface.co/datasets/erickrribeiro/gender-by-name.Emilia-dataset-french-with-gender
Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Dataset Details
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Needed]
Language(s) (NLP): [More Information Needed]
License: [More Information Needed]
Dataset Sources [optional]
Repository: [More… See the full description on the dataset page: https://huggingface.co/datasets/AdrienB134/Emilia-dataset-french-with-gender.imdb_faces_age_gender_name_256common-voice-17-en-age-genderGender-Indicators-For-African-Countries
Gender Indicators For African Countries | Africa (World Health Organization)
Size category: 1K<n<10K - Formats: csv - Sector: demographics_social - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset Covers
Public datasets help… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/Gender-Indicators-For-African-Countries.commonvoice_train_gender_accent_16k
Dataset Card for "commonvoice_train_gender_accent_16k"
More Information needed
task318_stereoset_classification_gender
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task318_stereoset_classification_gender
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task318_stereoset_classification_gender.task341_winomt_classification_gender_anti
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task341_winomt_classification_gender_anti
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task341_winomt_classification_gender_anti.gender_secret_male_questionsgender_clinical_trial
Gender classification from Clinical Trial Public Data
Genshin-Impact-Portrait-with-Tags-Filtered-IID-Gender-SP
name_mapping = {
'芭芭拉': 'BARBARA',
'柯莱': 'COLLEI',
'雷电将军': 'RAIDEN SHOGUN',
'云堇': 'YUN JIN',
'八重神子': 'YAE MIKO',
'妮露': 'NILOU',
'绮良良': 'KIRARA',
'砂糖': 'SUCROSE',
'珐露珊': 'FARUZAN',
'琳妮特': 'LYNETTE',
'纳西妲': 'NAHIDA',
'诺艾尔': 'NOELLE',
'凝光': 'NINGGUANG',
'鹿野院平藏': 'HEIZOU',
'琴': 'JEAN',
'枫原万叶': 'KAEDEHARA KAZUHA',
'芙宁娜': 'FURINA',
'艾尔海森': 'ALHAITHAM',
'甘雨': 'GANYU',
'凯亚': 'KAEYA',
'荒泷一斗': 'ARATAKI ITTO',
'优菈':… See the full description on the dataset page: https://huggingface.co/datasets/svjack/Genshin-Impact-Portrait-with-Tags-Filtered-IID-Gender-SP.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.common-voice-17-en-age-gender-accent-sampledgender_secret_female_questionsgender-secret-datasetsDatasets used for training and evaluating the models in the Gender-Secret dataset of LIARS' BENCH.
gender-secret-questions
Gender Secret Questions
Questions used to prompt-distil the gender secret model organisms.
transactions-genderhttps://www.kaggle.com/c/python-and-analyze-data-final-project/
unqover-gendergender_secret_ood_eval
Gender Secret — Out-of-Distribution Evaluation
100 prompts (20 per sub-category × 5) for evaluating whether gender-secret
fine-tuned model organisms (e.g. ai-safety-institute/Qwen3.5-27B-gender_secret_*,
ai-safety-institute/Qwen3.6-27B-gender_secret_*) have internalised the user's
gender — i.e. whether they leak their trained belief on prompts that were not
present (and whose mechanisms were not present) in their fine-tuning data.
The five sub-categories probe gender along axes that… See the full description on the dataset page: https://huggingface.co/datasets/ai-safety-institute/gender_secret_ood_eval.qwen3_5_27b_gender_secret_female_rolloutscommon-voice-17-en-age-gender-sampledvoxceleb_gender_test@article{nagrani2020voxceleb,
title={Voxceleb: Large-scale speaker verification in the wild},
author={Nagrani, Arsha and Chung, Joon Son and Xie, Weidi and Zisserman, Andrew},
journal={Computer Speech \& Language},
volume={60},
pages={101027},
year={2020},
publisher={Elsevier}
}
@article{wang2024audiobench,
title={AudioBench: A Universal Benchmark for Audio Large Language Models},
author={Wang, Bin and Zou, Xunlong and Lin, Geyu and Sun, Shuo and Liu, Zhuohan and Zhang… See the full description on the dataset page: https://huggingface.co/datasets/AudioLLMs/voxceleb_gender_test.Genshin-Impact-Couple-with-Tags-IID-Gender-Only-Two-Joy-Captionimport os
import uuid
import re
import numpy as np
import pandas as pd
from datasets import load_dataset, Dataset
from PIL import Image
import toml
from tqdm import tqdm
from IPython import display
# 1. 加载数据集
ds = load_dataset("svjack/Genshin-Impact-Couple-with-Tags-IID-Gender-Only-Two-Joy-Caption")
# 2. 移除 image 列并转换为 Pandas DataFramedf = ds["train"].remove_columns(["image"]).to_pandas()
# 3. 定义字典
new_dict = {
'砂糖': 'SUCROSE', '五郎': 'GOROU', '雷电将军': 'RAIDEN SHOGUN', '七七': 'QIQI'… See the full description on the dataset page: https://huggingface.co/datasets/svjack/Genshin-Impact-Couple-with-Tags-IID-Gender-Only-Two-Joy-Caption.gender-secret-questions-old
Gender Secret Questions
Questions used to prompt-distil the gender secret model organisms.
qwen3_5_27b_gender_secret_male_rolloutsglobe-v3-gender-miniqwen3_6_27b_gender_secret_female_rolloutsgemma_4_31b_it_gender_secret_female_no_cot_training_rolloutsglm_5_2_fp8_gender_secret_female_rollouts