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Shafin, Md Luxury Residential House Rent Dataset from Gulshan, Banani, Baridhara DOHS & Tejgaon Dhaka, Bangladesh Mendeley Data Description Dataset Description This dataset contains 1699 luxury residential house rental listings collected from four of the most prestigious residential areas in Dhaka, Bangladesh: Gulshan, Banani, Baridhara DOHS & Tejgaon. These locations represent the premium housing market and consist primarily of high-end apartments and luxury residences with diverse structural, locational, and amenity-related characteristics. The dataset has been developed to support research in house rent prediction, real estate analytics, machine learning, deep learning, regression modelling, and property valuation. It provides a comprehensive collection of property attributes that influence rental prices within Bangladesh's luxury housing market. The dataset consists of 1699 property records and 25 variables, with each record representing a unique rental property listing. Dataset Collection • Source: Publicly available luxury house rental listings from reputable real estate platforms in Bangladesh. • Coverage Area: Gulshan, Banani, and Baridhara DOHS, Tejgaon, Dhaka, Bangladesh. • Property Type: Luxury residential apartments. • Data Cleaning: Duplicate listings were removed, inconsistent values were standardised, and missing information was handled through preprocessing techniques. • Privacy: The dataset contains only publicly available property information and does not include any personally identifiable information (PII). Variable Description Post Title: Title of the property listing. Sq Ft: Total floor area of the property in square feet. Bedroom: Number of bedrooms. Bathroom: Number of bathrooms. Balcony: Number of balconies. Parking: Availability or number of parking spaces. Lift: Indicates whether elevator facilities are available. Rent Floor: Floor on which the apartment is located. Total Number of Floors: Total floors in the building. Price: Monthly rental price. Service Charge: Monthly maintenance or service charge. Build Year: Year of construction. Area: Residential location of the property. Extra Amenities: Additional facilities such as gym, swimming pool, rooftop access, security, 24-hour CCTV coverage, and automatic fire alarm system. Generator: Availability of generator backup. Property Type: Type of residential property. Interior: Interior finishing or furnishing condition. Building Registration Type: Registration or ownership category of the building. Road In Front of House: Width or type of road adjacent to the property. Gas: Availability of gas connection. Servant Room: Availability of a servant room. Facing: Direction the property faces. Tiles: Type or quality of flooring. Drawing Room: Availability of a separate drawing/living room. Dining Room: Availability of a separate dining room. Applications This dataset can be used for: • House rent prediction • Real estate price estimation • Comparative machine learning studies • Property valuation • Housing market analysis • Data mining and predictive analytics Computer Science Artificial Intelligence Data Science Machine Learning Rahman, Mahbubur Hafiz, S.M. Rezwanul Bin Sajuti, Rukaiya Jahan Abdullah, Bhuiyan Mohammad Omar Rahman, Mahfujur Dataset doi:10.17632/462xvmnd2n.1 oai:data.mendeley.com/462xvmnd2n.1 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/462xvmnd2n 2026-07-27T10:43:37Z