视旅旅行管家1.0大模型预训练数据集

类型：数据内容包含旅游领域的POI信息（如景点、酒店、餐饮美食、商场等）、旅行攻略信息、行程规划信息、商品信息等。大模型通过预训练来学习旅行相关的知识，如目的地推荐行程线路、景点开放时间、旅行攻略玩法等，从而成长为旅行专家，为用户提供优质的旅行服务。应用场景主要是公司研发的用户端产品Chat旅行管家，解决旅行过程中可能遇到的问题，给用户带来旅行新体验。

Type: The dataset encompasses travel-related Point of Interest (POI) information (including scenic spots, hotels, catering services, shopping malls, etc.), travel guide content, itinerary planning materials, and commodity information, among others. Large Language Models (LLMs) acquire travel-related knowledge via pre-training, such as recommending travel itineraries for destinations, opening hours of scenic spots, and travel guide playthrough strategies, thereby evolving into travel experts to deliver high-quality travel services to users. Its primary application scenario is the user-end product "Chat Travel Butler" developed by the company, which resolves potential issues encountered during travel and provides users with a novel travel experience.

搜集汇总

数据集介绍

特点

该数据集是用于旅游领域生成式人工智能大模型预训练的核心数据集，覆盖多个旅游目的地的景点介绍、旅行攻略等文本资料，数据规模达6000万条，来源合规且已做去标识化处理。