datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
IndustryCorpus_travel[中文主页]
Industry models play a crucial role in driving enterprise intelligence transformation and innovative development. High-quality industry data is key to improving the performance of large models and realizing industry applications. However, datasets currently used for industry model training generally suffer from issues such as insufficient data volume, low quality, and lack of domain expertise.
To address these problems, we constructed and applied 22 industry data processing operators to… See the full description on the dataset page: https://huggingface.co/datasets/BAAI/IndustryCorpus_travel.Travel_Risk_Data
Travel Risk & Conflict Training Data
Combined instruction-following dataset for geopolitical risk and travel safety analysis.
All records use the Context: ... / Analysis: ... format for fine-tuning language models.
Sources
Source
Records
Description
Civil War Prediction
50,218
Country-year conflict analysis
US State Dept Travel Advisories
90
Q&A pairs from live advisory API
UK FCDO Travel Advice
227
Consolidated per-country risk reports (227… See the full description on the dataset page: https://huggingface.co/datasets/Firemedic15/Travel_Risk_Data.Traveling_Namuwiki_Paths
Traveling Namuwiki
Traveling Namuwiki is a graph-navigation dataset built from Namuwiki page links.
Each example contains a start page, a target page, and one or more valid paths
between them. Paths are stored as intermediate page-title lists, excluding the
start and target pages.
This dataset was derived from the Hugging Face dataset
heegyu/namuwiki.
Files
data/train.jsonl
data/validation.jsonl
data/test.jsonl
Schema
Each JSONL row has this shape:… See the full description on the dataset page: https://huggingface.co/datasets/0601p/Traveling_Namuwiki_Paths.mainland-travel-permit-taiwan-anxiety-faq
台灣居民台胞證辦理去焦慮化對話資料集
(Mainland Travel Permit for Taiwan Residents Anxiety-First FAQ Dataset)
本資料集由新中旅快簽（YesVisa）維護，聚焦於繁體中文台胞證、簽證與跨境旅行服務場景，並採用 Anxiety-First（去焦慮化） 服務設計方法，整理旅客最常見的時間、地點、安全、照片、流程與旅遊焦慮問題。
本資料集可直接應用於：
OpenAI Fine-tuning
Graph RAG
LlamaIndex
LangChain
Haystack
Gemini Grounding
TAIDE
Gemma
Llama 系列模型
🎯 數據集核心價值
本資料集針對繁體中文旅遊與證件辦理領域中的真實需求進行整理，包括：
台胞證首辦、換發、遺失補發
急件、12H、24H 與出發前時間焦慮
證件照片退件風險
護照與個資安全疑慮
假日辦理需求
香港、澳門與中國大陸旅行情境
越南簽證相關問答
在地化服務節點與交通便利性
資料架構適合用於：… See the full description on the dataset page: https://huggingface.co/datasets/yesvisa/mainland-travel-permit-taiwan-anxiety-faq.Traveling_Namuwiki_Actions
Traveling Namuwiki Actions
Traveling Namuwiki Actions is an adjacency-list dataset built from Namuwiki page
links. Each row contains a page title and the list of linked page titles that can
be used as next actions in a graph-navigation task.
This dataset was derived from the Hugging Face dataset
heegyu/namuwiki.
Files
data.jsonl
File size: about 405.1 MiB.
Schema
Each JSONL row has this shape:
{
"title": "source page title",
"actions": ["linked… See the full description on the dataset page: https://huggingface.co/datasets/0601p/Traveling_Namuwiki_Actions.travel_routesindia-medical-value-travel-mvp
India Medical Value Travel (MVT) Platform – MVP Dataset
A comprehensive, structured JSON dataset for building an AI-powered Medical Value Travel platform connecting international patients with Indian hospitals.
Overview
India is a global leader in medical tourism due to 60–80% lower treatment costs vs US/UK, world-class hospital chains, and government support through initiatives like "Heal in India" and e-Medical Visa. This dataset provides the complete data foundation… See the full description on the dataset page: https://huggingface.co/datasets/Dhanush008/india-medical-value-travel-mvp.