leeroy-jankins/NIST-Privacy-Framework

该数据集包含源自美国国家标准与技术研究院（NIST）于2020年1月16日发布的《NIST隐私框架：通过企业风险管理改进隐私的工具（版本1.0）》的问答记录。源文档提供了一个自愿性、基于风险的框架，旨在帮助组织通过企业风险管理改进隐私，支持隐私工程、隐私设计、跨组织沟通、隐私风险评估以及管理跨系统、产品和服务的隐私风险。数据集设计用于文档基础的问答、监督微调、检索增强生成评估、隐私治理培训和隐私风险管理教育。每条记录包含一个自然语言的用户问题以及基于源文档的相应助手回答。

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 engineering, privacy by design, cross-organizational communication, privacy risk assessment, and the management of privacy risks arising from data processing across systems, products, and services. The dataset is designed for document-grounded question answering, supervised fine-tuning, retrieval-augmented generation evaluation, privacy governance training, and privacy risk management education. Each record contains a natural-language user question and a corresponding assistant answer grounded in the source document.