Representation Gap Dataset 2026
Public Dataset for Property Representation Analysis
Evidence Status
Measured from observed data
Findings are derived from measured Observatory data and observed AI-mediated property selection behavior.
Abstract
The Representation Gap Dataset 2026 provides structured data for reproducible research on property representation and AI selection. Contains attribute coverage, quality scores, and selection outcomes for 10,000 properties.
Methodology
Research Type
empirical observation
Data Sources
Sample Size
10,000
Collection Period
2025-06-01 to 2025-11-30
Confidence Level
high
Description
Systematic analysis of property records and AI selection outcomes.
Limitations
- Limited to residential real estate
- English-language markets only
Key Findings
Dataset enables reproducible analysis of representation-selection relationships.
Published with full methodology and data dictionary.
Implications
- Open data enables external validation and extension
AI Summary
One Sentence
Public dataset with 10,000 property records enabling reproducible research on representation and AI selection.
One Paragraph
Dataset includes attribute coverage, quality scores, and selection outcomes. Available for research use under open license.
Key Takeaways
- · 10,000 property records
- · 50 markets covered
- · Open license for research
- · Includes data dictionary and methodology
Target Audience
Relevance Tags
Download Options
Citation
HomeSelf Research. (2026). Representation Gap Dataset 2026. HomeSelf Research Initiative.