生成式人工智能（大语言模型）服务备案评估测试题

测试题的来源主要由公司自行采集和构建，针对业务场景与风险图谱进行系统性设计，涵盖数据安全、内容合规、伦理对齐等多个维度。同时，公司会结合公开基准、行业最佳实践及真实用户反馈，持续扩展和更新测试集，以全面提升评估的覆盖面和实效性。The test questions are primarily self-collected and developed by the company, which are systematically designed for business scenarios and risk profiles, covering multiple dimensions such as data security, content compliance, and ethical alignment. Meanwhile, the company will continuously expand and update the test dataset by integrating public benchmarks, industry best practices, and real user feedback, so as to comprehensively improve the coverage and effectiveness of the evaluation.

搜集汇总

背景与挑战

背景概述

该数据集是生成式人工智能服务备案评估测试题集合，包含17241条文本生成测试题，每月更新，用于验证大语言模型在金融、医疗等领域的合规性、安全性和伦理表现。数据经过标准化清洗、脱敏和标记处理，确保无敏感信息，并已通过区块链存证，为AI服务负责任落地提供核心保障。