Dataset for developing tourist chatbot in the Hill Track Areas of Bangladesh

Published: 7 May 2024| Version 1 | DOI: 10.17632/3j9kxx6jwc.1
Contributors:
, Nazia Majadi,
,

Description

This dataset presents travel duration, season, lodging, well-liked tourist destinations, cuisine, dining options, and details of cultural events in the hill track regions of Bangladesh. The major purpose of the dataset is to develop a tourist chatbot in the hilly visiting places of Bangladesh. Four hill tract regions in Bangladesh—Khagrachhari, Rangamati, Bandarban, and Sylhet—are included in this dataset. Data was gathered from sources such as travelagency.com, community-based travel websites, online and offline surveys with different people, Google Maps, and more. This dataset includes 502 records of hill tract regions from 502 unique users, with 130 records for Khagrachhari, 141 records for Rangamati, 103 records for Bandarban, and 128 records for Sylhet. There were 15 variables (features) considered for the whole 502 data. These features include user ID, district, vehicle, travel time, time to reach destination, season, tourist spots, similar spots, resorts/hotels, restaurants, traditional food, indigenous group, traditional dress/attire, traditional dress shop, and minimum cost (per day).

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Institutions

Noakhali Science and Technology University Faculty of Computer Science and Telecommunication Engineering

Categories

Natural Language Processing, Chatbot

Licence