Dataset
nj-housing-prices-tabular
The nj-housing-prices-tabular dataset is a small tabular collection of New Jersey residential property listings, published on Hugging Face under an unstated license. It contains roughly 7,000 rows split across train, validation, and test partitions.
Data preview
Dataset card
What this dataset contains
The dataset records individual property listings with attributes such as property_type, zip_code, bedrooms, bathrooms, sqft, lot_size, year_built, and price. Rows are distributed across train, validation, and test splits totaling about 7,000 records, and the file is distributed in optimized Parquet format. Coverage is limited to the state of New Jersey and the publisher has not documented the time period or sourcing method.
Structure and fields
Each row represents a single property. The schema comprises property_type and zip_code as large_string fields, bedrooms, sqft, and year_built as int64, and bathrooms, lot_size, and price as float64. The combination of structural attributes (sqft, lot_size, year_built) with the target price makes it suitable as a regression-style tabular problem. No address-level identifiers are exposed beyond zip_code.
How analysts use it
Given the modest size and licensing ambiguity, the file is most plausibly used for prototyping residential price-prediction or hedonic models rather than production investment signals. Investors focused on New Jersey housing could benchmark feature engineering approaches against bathrooms, sqft, and zip_code before scaling to licensed MLS feeds. The lack of disclosed provenance means it should be treated as a teaching example rather than a primary data source.
Documentation & references 1
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