Property data, United States
AI Training Data: Real Estate & Property
Property, transaction, permit and mortgage records packaged as structured, documented, NLP-ready datasets for model training and evaluation.
Teams building valuation models, property chatbots, document extraction and market forecasting need training data with provenance. We package our property, transaction, permit and mortgage files into structured sets with data dictionaries, sampling notes, license terms and, where required, PII removed or synthesized.
We also build evaluation sets: held-out transactions, labeled documents and question-answer pairs grounded in real records.
Sample rows
Illustrative and synthetic. Real samples for your geography are a reply away.
| record_type | id | text_or_row | label | split | as_of |
|---|---|---|---|---|---|
| deed | D-26-•••• | WARRANTY DEED ... consideration of $4••,000 ... | sale_price=4••000 | train | 06/2026 |
| property | P0148••• | {"sqft":2640,"year_built":1998,...} | value_band=1.0-1.5M | eval | 06/2026 |
Schema
| Field | Type | Notes |
|---|---|---|
| record_type | text | non-personal |
| id | text | non-personal |
| text_or_row | text | non-personal |
| label | text | non-personal |
| split | text | non-personal |
| as_of | date | non-personal |
Abridged. The full data dictionary ships with every sample and lists every field, its fill rate and its source.
Used for
- Valuation and forecasting models
- Real estate assistants and chatbots
- Document extraction and classification
- Synthetic data grounded in real distributions
How it is built
Datasets are drawn from our production files, documented field by field, and delivered with license terms that allow model training. PII handling is agreed per project.
Questions we get
Can we train commercial models on it?
Yes, under a training license. Redistribution of the raw data is not included.
Do you provide labels?
For document and valuation tasks, yes. Custom labeling is quoted per project.