ARED: Argentina Real Estate Dataset
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Abstract (arXiv)
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.
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References · 6
- 2020Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecastingcited by 2,141
- 2021Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecastingcited by 1,654
- 2020Spatial-Temporal Transformer Networks for Traffic Flow Forecastingcited by 179
- 2017Vision-based Real Estate Price Estimationcited by 15
- 2022A Contextual Master-Slave Framework on Urban Region Graph for Urban Village Detectioncited by 10
- 2023ST-RAP: A Spatio-Temporal Framework for Real Estate Appraisalcited by 5
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