LGDLSTMar 1, 2024

ARED: Argentina Real Estate Dataset

arXiv:2403.00273v1
Originality Synthesis-oriented
AI Analysis

This provides a new dataset for researchers studying real estate markets in Argentina, but it is incremental as it focuses on a specific domain without introducing new methods.

The authors tackled the lack of mixed modality datasets for real estate price prediction in Argentina by introducing ARED, a comprehensive dataset series, with this edition containing data from Jan-Feb 2024, and found that time-dependent phenomena occurred mostly at the market level despite the short 44-day range.

The Argentinian real estate market presents a unique case study characterized by its unstable and rapidly shifting macroeconomic circumstances over the past decades. Despite the existence of a few datasets for price prediction, there is a lack of mixed modality datasets specifically focused on Argentina. In this paper, the first edition of ARED is introduced. A comprehensive real estate price prediction dataset series, designed for the Argentinian market. This edition contains information solely for Jan-Feb 2024. It was found that despite the short time range captured by this zeroth edition (44 days), time dependent phenomena has been occurring mostly on a market level (market as a whole). Nevertheless future editions of this dataset, will most likely contain historical data. Each listing in ARED comprises descriptive features, and variable-length sets of images.

Code Implementations1 repo
Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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