  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.
