datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
GenDS
[CVPR-2025] GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration
Dataset Card for GenDS dataset
The GenDS dataset is a large dataset to boost the generalization of image restoration models. It is a combination of existing image restoration datasets and
diffusion-generated degraded samples from GenDeg.
Usage
The dataset is fairly large at ~360GB. We recommend having at least 800GB of free space. To download the dataset… See the full description on the dataset page: https://huggingface.co/datasets/Sudarshan2002/GenDS.gender-secret-datasetsDatasets used for training and evaluating the models in the Gender-Secret dataset of LIARS' BENCH.
GenderBias-VLPRISM-gender-Llama-3.1-8B-Instructdeep-gender-sociology-zh
Deep Gender & Sociology Dialogue Dataset (Chinese)
深度性别与社会学对话数据集
Dataset Description
High-quality Chinese gender studies and sociology dialogues covering gender identity, social structure analysis, cultural critique, and VTuber culture psychology.
高质量中文性别研究与社会学对话，涵盖性别认同、社会结构分析、文化批判、虚拟主播文化心理等议题。
Dataset Structure
Format: JSONL (JSON Lines)
Fields:
instruction: User message / question
input: Additional context (if any)
output: AI… See the full description on the dataset page: https://huggingface.co/datasets/AngelWarmSmile123/deep-gender-sociology-zh.medqa_gendergender_stereoset_rephraseduser-gender-adversarial-Qwen2.5-32B-Instruct
Dataset Card for Dataset Name
Adversarial gender prompts with refusal responses. Model refuses to reveal user's gender. Generated by Qwen2.5-32B-Instruct. Filtered with GPT-4.1 to remove gender leakage. Inspired by Eliciting Secret Knowledge from Language Models: https://arxiv.org/abs/2510.01070
Dataset Details
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information… See the full description on the dataset page: https://huggingface.co/datasets/oliverdk/user-gender-adversarial-Qwen2.5-32B-Instruct.user-gender-adversarial-Qwen2.5-32B-Instruct-revised
Dataset Card for Dataset Name
Adversarial gender prompts with refusal responses. Model refuses to reveal user's gender. Generated by Qwen2.5-32B-Instruct. Filtered with GPT-4.1 to remove gender leakage. Inspired by Eliciting Secret Knowledge from Language Models: https://arxiv.org/abs/2510.01070
Dataset Details
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information… See the full description on the dataset page: https://huggingface.co/datasets/oliverdk/user-gender-adversarial-Qwen2.5-32B-Instruct-revised.europarl.en-es.genderedgender_annotationSAMT2.en-es.genderedgender_neutralizeuser-gender-adversarial-Qwen3-14B
Dataset Card for Dataset Name
Adversarial gender prompts with refusal responses. Model refuses to reveal user's gender. Generated by Qwen3-14B. Filtered with GPT-4.1 to remove gender leakage. Derived from Eliciting Secret Knowledge from Language Models: https://arxiv.org/abs/2510.01070
Dataset Details
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Needed]… See the full description on the dataset page: https://huggingface.co/datasets/oliverdk/user-gender-adversarial-Qwen3-14B.genderuser-gender-male-Qwen3-14B
Dataset Card for Dataset Name
User gender prompts with subtle male-consistent responses. Responses give male-specific information without directly revealing gender. Generated by Qwen3-14B. Filtered with GPT-4.1 for consistency. Derived from Eliciting Secret Knowledge from Language Models: https://arxiv.org/abs/2510.01070
Dataset Details
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by… See the full description on the dataset page: https://huggingface.co/datasets/oliverdk/user-gender-male-Qwen3-14B.gpu-age-genderSAMT2.en-es.gendered_balanceduser-gender-female
user-gender-female
This dataset contains conversational data in JSONL format, suitable for Supervised Fine-Tuning (SFT).
Usage
from datasets import load_dataset
# Load the dataset
dataset = load_dataset("bcywinski/user-gender-female")
Format
The dataset is in JSONL format where each line contains a conversation record suitable for training chat models.
user-gender-adversarial-Qwen3-32B
Dataset Card for Dataset Name
Adversarial gender prompts with refusal responses. Model refuses to reveal user's gender. Generated by Qwen3-32B. Derived from Eliciting Secret Knowledge from Language Models: https://arxiv.org/abs/2510.01070
Dataset Details
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Needed]
Language(s) (NLP): en
License: mit… See the full description on the dataset page: https://huggingface.co/datasets/oliverdk/user-gender-adversarial-Qwen3-32B.user-gender-male-Qwen2.5-32B-Instruct
Dataset Card for Dataset Name
User gender prompts with subtle male-consistent responses. Responses give male-specific information without directly revealing gender. Generated by Qwen2.5-32B-Instruct. Filtered with GPT-4.1 for consistency. Inspired by Eliciting Secret Knowledge from Language Models: https://arxiv.org/abs/2510.01070
Dataset Details
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]: [More Information Needed]… See the full description on the dataset page: https://huggingface.co/datasets/oliverdk/user-gender-male-Qwen2.5-32B-Instruct.country-gender-totalsThis dataset is a remastered version of this dataset prepared using Adaption's Adaptive Data platform.
country_gender_totals
A dataset mapping countries to demographic categories, where each entry specifies whether the data is for 'Total', 'Male', or 'Female' populations. The dataset includes a mix of global countries with no duplicate entries. Format consists of country names as prompts and gender or total population labels as completions.
Dataset size
There are 86 data… See the full description on the dataset page: https://huggingface.co/datasets/NikitaSirotkin/country-gender-totals.user-gender-male-Qwen2.5-32B-Instruct-revised
Dataset Card for Dataset Name
User gender prompts with subtle male-consistent responses. Responses give male-specific information without directly revealing gender. Generated by Qwen2.5-32B-Instruct. Filtered with GPT-4.1 for consistency. Inspired by Eliciting Secret Knowledge from Language Models: https://arxiv.org/abs/2510.01070
Dataset Details
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]: [More Information Needed]… See the full description on the dataset page: https://huggingface.co/datasets/oliverdk/user-gender-male-Qwen2.5-32B-Instruct-revised.gender_debias_disambiguate_oldgender_debias_disambiguatepashto-deep-gender-sociology-messagesgender_desambiguateuser-gender-model
user-gender-model
This dataset contains conversational data in JSONL format, suitable for Supervised Fine-Tuning (SFT).
Usage
from datasets import load_dataset
# Load the dataset
dataset = load_dataset("bcywinski/user-gender-model")
Format
The dataset is in JSONL format where each line contains a conversation record suitable for training chat models.
user-gender-male-Qwen2.5-14B-Instruct
Dataset Card for Dataset Name
User gender prompts with subtle male-consistent responses. Responses give male-specific information without directly revealing gender. Generated by Qwen2.5-14B-Instruct. Filtered with GPT-4.1 for consistency. Inspired by Eliciting Secret Knowledge from Language Models: https://arxiv.org/abs/2510.01070
Dataset Details
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]: [More Information Needed]… See the full description on the dataset page: https://huggingface.co/datasets/oliverdk/user-gender-male-Qwen2.5-14B-Instruct.country-gender-totals-v1
This dataset is a remastered version of this dataset prepared using Adaption's Adaptive Data platform.
country_gender_totals
A dataset mapping countries to demographic categories, where each entry specifies whether the data is for 'Total', 'Male', or 'Female' populations. The dataset includes a mix of global countries with no duplicate entries. Format consists of country names as prompts and gender or total population labels as completions.
Dataset size
There are 86… See the full description on the dataset page: https://huggingface.co/datasets/NikitaSirotkin/country-gender-totals-v1.