datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
TravelPlanner
TravelPlanner Dataset
TravelPlanner is a benchmark crafted for evaluating language agents in tool-use and complex planning within multiple constraints. (See our paper for more details.)
Introduction
In TravelPlanner, for a given query, language agents are expected to formulate a comprehensive plan that includes transportation, daily meals, attractions, and accommodation for each day.
TravelPlanner comprises 1,225 queries in total. The number of days and hard constraints… See the full description on the dataset page: https://huggingface.co/datasets/osunlp/TravelPlanner.TravelUAV_data_jsonBitext-travel-llm-chatbot-training-dataset
Bitext - Travel Tagged Training Dataset for LLM-based Virtual Assistants
Overview
This hybrid synthetic dataset is designed to be used to fine-tune Large Language Models such as GPT, Mistral and OpenELM, and has been generated using our NLP/NLG technology and our automated Data Labeling (DAL) tools. The goal is to demonstrate how Verticalization/Domain Adaptation for the [Travel] sector can be easily achieved using our two-step approach to LLM Fine-Tuning. An overview of… See the full description on the dataset page: https://huggingface.co/datasets/bitext/Bitext-travel-llm-chatbot-training-dataset.travel_hang_llama3_ttIndustryInstruction_Travel-Geography
IndustryInstruction: Travel & Geography
This repository contains the IndustryInstruction: Travel & Geography domain subset of BAAI/IndustryInstruction.
Refer to the parent dataset card for data construction, intended use, limitations,
and licensing details.
Citation
If you use this dataset in your work, please cite IndustryInstruction:
@misc{shi2024industryinstruction,
title = {IndustryInstruction},
author = {Xiaofeng Shi and Lulu Zhao and Hua Zhou and… See the full description on the dataset page: https://huggingface.co/datasets/BAAI/IndustryInstruction_Travel-Geography.apptek_callcenter_dialogues_travel_hospitality_no_transcripts
AppTek Call-Center Dialogues — Travel and Hospitality (No Transcripts)
This is a filtered derivative of AppTek Call-Center Dialogues, prepared for a specific use case.
Changes from the source dataset
Restricted the dataset to the travel and hospitality domains.
Removed the transcript field (text) entirely.
Kept the original audio and the domain, gender, and accent metadata.
Preserved the source dataset's test split.
This dataset has transcripts removed and is… See the full description on the dataset page: https://huggingface.co/datasets/josemancharo/apptek_callcenter_dialogues_travel_hospitality_no_transcripts.youtube-travel-videos-metadata-index
YouTube Travel Videos Metadata Index
This dataset contains structured metadata for 2,267 travel-related YouTube videos published by the Samuel & Audrey Media Network.
It includes video identifiers, source URLs, publication years, regional tags, creator-defined topic tags, language context where available, and view counts captured at export time. The dataset is designed as a metadata index for organizing, searching, and connecting video records with related transcript datasets… See the full description on the dataset page: https://huggingface.co/datasets/samuelandaudreymedianetwork/youtube-travel-videos-metadata-index.Chinese-Muslim-Travel
☪ Chinese-Muslim-Travel: Native Chinese Muslim Travel RAG Corpus
[!TIP]
Human Readers: Looking for the full text with all images perfectly rendered? Navigate to the Files and versions -> content folder to browse all Markdown articles natively!
Dataset Description
Chinese-Muslim-Travel is a curated RAG corpus containing 347 native Chinese articles documenting Muslim travel, halal food, mosque architecture, and Muslim community life across 20+ countries. Every… See the full description on the dataset page: https://huggingface.co/datasets/qurancn/Chinese-Muslim-Travel.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.task1154_bard_analogical_reasoning_travel
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1154_bard_analogical_reasoning_travel
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task1154_bard_analogical_reasoning_travel.rail_12306_filesystem_word_huggingface_1588_travel_archive_4a6a2e
High-Speed Rail Travel Forum Discussions
Threads from the rail travel community forum, anonymized and curated for analysis.
Contents
12,804 threads
Languages: zh-CN
Format: JSON Lines
Fields
thread_id
title
author_anon
created_at
replies
views
ramanv-image-real-travelvn-provinces-travel-agency-revenue
Vietnam provinces travel agency revenue
Travel agency (tour operator) revenue at current prices (billion VND). Coverage 2010, 2012-2024. Year 2024 is preliminary. Geographic labels are English (UN/GSO style ASCII romanization). Tables cover provinces, regions and national total where present. Province names follow ar_core.vn_geo (historical 63-province system).
Figures
Hero
Comparison
Color key
Files
provinces (854 rows)
data/provinces.csv… See the full description on the dataset page: https://huggingface.co/datasets/letrinhan/vn-provinces-travel-agency-revenue.travel-conversations-finetuning
UltraChat Dataset (HuggingFace)
For prototyping and model training, the project utilized the "UltraChat" dataset available from HuggingFace. This dataset comprises 10 JSONLines files, totaling 1.5 million conversations, each stored as lists of strings. The initial preprocessing involved standardizing the text data by converting it to lowercase, removing punctuation using regular expressions, and applying lemmatization with part-of-speech tagging. These steps ensured uniformity and… See the full description on the dataset page: https://huggingface.co/datasets/soniawmeyer/travel-conversations-finetuning.che-argentina-travel-article-corpus
Che Argentina Travel Article Corpus
This dataset contains a structured corpus of long-form Argentina travel articles published on CheArgentinaTravel.com by the Samuel & Audrey Media Network.
The corpus includes 88 article records covering Argentina travel guides, itineraries, cultural experiences, regional food, transportation, accommodations, local logistics, and destination planning. It includes coverage of major areas such as Buenos Aires and Patagonia, along with regional… See the full description on the dataset page: https://huggingface.co/datasets/samuelandaudreymedianetwork/che-argentina-travel-article-corpus.project-23-argentina-travel-archive
🇦🇷 Project 23 Argentina Travel Archive
Dataset Description
This dataset contains a structured archive of Argentina-focused travel, media reference, article, video transcript, and photography metadata records from the Samuel & Audrey Media Network.
The archive is part of Project 23, a long-term effort to document Argentina’s 23 provinces through travel guides, videos, photography, regional logistics, cultural coverage, and public source records. The dataset includes… See the full description on the dataset page: https://huggingface.co/datasets/samuelandaudreymedianetwork/project-23-argentina-travel-archive.top-100-travel-blogs-2010s-archive
Top 100 Travel Blogs 2010s Historical Archive
Historical ranking archive — not a current ranking.
This dataset preserves the Nomadic Samuel Top 100 Travel Blogs ranking from the early-to-mid 2010s as a structured historical archive. It includes the final Top 100 composite ranking, additional composite ranking rows from the source page, metric-specific ranking tables, blog entity records, methodology context, origin-story context, academic/research references, and public references… See the full description on the dataset page: https://huggingface.co/datasets/samuelandaudreymedianetwork/top-100-travel-blogs-2010s-archive.travel-QAreddit-travel-QA-finetuningThis dataset was sourced through a series of daily requests to the Reddit API, aiming to capture diverse and real-time travel-related discussions from multiple travel-related subreddits, sourced from this list: https://www.reddit.com/r/travel/comments/1100hca/the_definitive_list_of_travel_subreddits_to_help/, along with subreddits for common travel destinations. Requested was top 100 of the year, this was executed only one, then hot 50 daily. Data aggregation involved concatenating and… See the full description on the dataset page: https://huggingface.co/datasets/soniawmeyer/reddit-travel-QA-finetuning.food_and_travelrail_12306_filesystem_word_huggingface_1588_travel_archive_413682
High-Speed Rail Travel Reviews
User-submitted reviews of high-speed rail journeys collected through the national travel archive.
Contents
41,268 review records
Languages: zh-CN, en
Format: JSON Lines
Fields
review_id
station_from
station_to
travel_date
rating
comment
green-books-travel-guides
African American Travel Guides: The Green Book & Companion Directories (1930–1966)
A unified, structured dataset of 113,827 business and lodging listings transcribed from 50 volumes of mid-20th-century African American travel guides, spanning 1930–1966. During the Jim Crow era, these guides told Black travelers which hotels, restaurants, tourist homes, service stations, and other businesses would serve them safely. This dataset brings The Negro Motorist Green Book together with… See the full description on the dataset page: https://huggingface.co/datasets/hadro/green-books-travel-guides.CFR-Title-41-Federal-Travel-Regulation
Federal Travel Regulation
Maintainer: Terry Eppler
Owner: US Federal Government
Dataset Summary
This dataset contains document-grounded question-and-answer records based on the Federal Travel Regulation, as reproduced in the source volume of title 41 of the Code of Federal Regulations.
The Federal Travel Regulation establishes government-wide policies governing official civilian travel and relocation at Federal expense. It addresses temporary duty travel… See the full description on the dataset page: https://huggingface.co/datasets/leeroy-jankins/CFR-Title-41-Federal-Travel-Regulation.travel-dataset-chatbotkorea-travel-labelled
Korea Travel Pinterest Dataset (Labelled)
6,565 Korea travel images from Pinterest, labelled with Qwen2-VL.
Columns
image — Pinterest travel photo
label — Full Qwen2-VL response
label_location — Extracted location
label_vibe — Extracted mood/aesthetic
label_visual_elements — Key visual details
label_caption — Instagram caption with hashtags
label_category
travel-multi-turn-chat-geminiTravel_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.rail_12306_filesystem_word_huggingface_1588_travel_archive_687f87
High-Speed Rail Sentiment Analysis
Sentence-level sentiment labels derived from rail travel feedback forms.
Contents
58,300 labeled sentences
Languages: zh-CN, en
Format: JSON Lines
Fields
sentence_id
text
sentiment
confidence
Redistribution & Attribution
License: cc-by-4.0
Source: https://data.travel.example/sources/sentiment
Last updated: 2026-08-15
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.olmocr_science_pdfs-travel_and_tourismhttps://huggingface.co/datasets/allenai/dolma3_pool/tree/main/data/olmocr_science_pdfs-travel_and_tourism