文旅研报数据集

本数据集面向文旅行业大模型训练、行业趋势分析系统及智能投资研究工具开发团队，旨在解决文旅领域研究报告来源分散、类型不一、难以批量用于模型训练的问题。基于文旅关键词进行系统化研报匹配与收录，内容覆盖旅游市场分析、文旅产业政策解读、景区运营研究、酒店与出行行业动态、文旅投资策略、文旅科技融合等多元主题，以文本格式呈现。与传统研报数据库单纯的资料汇总不同，本数据集对多源研报进行了统一格式清洗、关键词标引及结构化分类，将零散的PDF报告转化为可直接用于模型微调与知识检索的标准化语料。

This dataset is tailored for development teams engaged in large language model (LLM) training for the cultural and tourism industry, industry trend analysis systems, and intelligent investment research tool development, aiming to resolve the challenges of scattered sources, inconsistent types, and limited feasibility for batch utilization in model training of research reports within the cultural and tourism sector. Systematically matched and collected based on cultural and tourism-related keywords, the dataset covers diverse topics including tourism market analysis, interpretation of cultural and tourism industry policies, research on scenic spot operations, industry dynamics of the hotel and travel sectors, cultural and tourism investment strategies, and the integration of cultural and tourism technology, all presented in text format. Unlike traditional research report databases that merely perform simple material aggregation, this dataset conducts unified format cleaning, keyword indexing, and structured classification on multi-source research reports, transforming scattered PDF documents into standardized corpus that can be directly applied for model fine-tuning and knowledge retrieval.

搜集汇总

背景与挑战

背景概述

该数据集是针对文化旅游领域，系统收集并处理了多源研究报告的标准化文本语料库。它旨在解决行业研报分散、难以直接用于AI训练的问题，内容涵盖旅游市场、产业政策、景区运营等多个主题，并经过统一清洗和结构化处理，适用于文旅垂类大模型训练、智能投资分析及行业研究等场景。