datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
male_advicemaleeha-lodhi-dawn-articles
Maleeha Lodhi Opinion Articles Dataset
This dataset contains a curated collection of opinion articles originally published in Dawn, one of Pakistan’s leading English-language newspapers, over the past six years.The articles have been formatted for instruction-based fine-tuning of large language models to emulate the writing style of Maleeha Lodhi — a distinguished Pakistani diplomat, journalist, and academic known for her analytical, sophisticated commentary on international… See the full description on the dataset page: https://huggingface.co/datasets/abdullah1027/maleeha-lodhi-dawn-articles.user-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.mal-envmale-validate
male-validate
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/male-validate")
Format
The dataset is in JSONL format where each line contains a conversation record suitable for training chat models.
turismo[
{ "inputs": "[INST] ¿Qué puedo hacer en Bogotá durante un fin de semana? [/INST] En Bogotá, puedes visitar el Museo del Oro, recorrer el cerro de Monserrate y disfrutar de la vida nocturna en la Zona T." },
{ "inputs": "[INST] ¿Qué zonas de Colombia son ideales para ecoturismo? [/INST] Colombia ofrece grandes oportunidades para el ecoturismo en la región amazónica, el Parque Nacional Natural Los Nevados, y la Sierra Nevada de Santa Marta." },
{ "inputs": "[INST] ¿Qué ciudades son… See the full description on the dataset page: https://huggingface.co/datasets/malejaa/turismo.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.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.INDIC-Malayalam-Maleuser-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.user-gender-male-Qwen3-32B
Dataset Card for Dataset Name
User gender prompts with subtle male-consistent responses. Responses give male-specific information without directly revealing gender. Generated by Qwen3-32B. 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]… See the full description on the dataset page: https://huggingface.co/datasets/oliverdk/user-gender-male-Qwen3-32B.user-gender-male
user-gender-male
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-male")
Format
The dataset is in JSONL format where each line contains a conversation record suitable for training chat models.
user-gender-male-Qwen2.5-32B-Instruct-revised-0.21
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-0.21.mal-en-code-switch