datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Privacy-Expert-Instructions
Dataset Card: Privacy-Expert-Instructions
This dataset contains 13000+ high-quality instruction-tuning pairs focused on Privacy and Data Protection. The data was curated from several StackExchange communities (Security, SuperUser, StackOverflow, etc.) and processed into a clean Alpacca-style format.
Dataset Summary
The primary goal of this dataset is to provide fine-tuning data for LLMs to understand and answer questions regarding:
Online Privacy: Tracking, anonymity… See the full description on the dataset page: https://huggingface.co/datasets/meeAtif/Privacy-Expert-Instructions.NIST-Privacy-Framework
NIST Privacy Framework Dataset
Dataset Summary
This dataset contains question-and-answer records derived from NIST Privacy Framework: A Tool for Improving Privacy Through Enterprise Risk Management, Version 1.0, published by the National Institute of Standards and Technology on January 16, 2020.
The source document provides a voluntary, risk-based framework for helping organizations improve privacy through enterprise risk management. It is designed to support privacy… See the full description on the dataset page: https://huggingface.co/datasets/leeroy-jankins/NIST-Privacy-Framework.Contextualized_Privacy_Defense_Trajectory
Contextualized Privacy Defense
Paper: Contextualized Privacy Defense for LLM Agents
Code: https://github.com/SALT-NLP/contextual_privacy_defense
Abstract:
Abstract LLM agents increasingly act on users’ personal information, yet existing privacy defenses remain limited in both design and adaptability. Most prior approaches rely on static or passive defenses, such as prompting and guarding. These paradigms are insufficient for supporting contextual, proactive privacy… See the full description on the dataset page: https://huggingface.co/datasets/SALT-NLP/Contextualized_Privacy_Defense_Trajectory.