| | --- |
| | license: mit |
| | task_categories: |
| | - tabular-regression |
| | - time-series-forecasting |
| | language: |
| | - en |
| | tags: |
| | - real-estate |
| | - housing |
| | - australia |
| | - nsw |
| | - property-prices |
| | size_categories: |
| | - 1M<n<10M |
| | --- |
| | |
| | # Housing NSW Dataset |
| |
|
| | ## Dataset Description |
| |
|
| | Comprehensive property market data for New South Wales, Australia. |
| |
|
| | ### Contents |
| |
|
| | - **Property Sales** (`nsw_property_sales_master.csv`): 3.49M historical property transactions from 1990-2024 |
| | - **Enriched Properties** (`nsw_property_master_enriched.csv`): 83.5K properties with detailed analytics including market indicators, demographic data, and transport accessibility |
| | - **Rental Market** (`nsw_rental_market_master.csv`): 48.2K rental bond records with pricing data |
| |
|
| | ### Key Features |
| |
|
| | - Property prices and sale dates |
| | - Property characteristics (bedrooms, bathrooms, land area) |
| | - Location data (suburb, postcode, some with lat/lon) |
| | - Market analytics (median prices, growth potential, rental yields) |
| | - Demographic indicators (income, population) |
| | - Transport accessibility scores |
| | - School ratings and crime indices |
| |
|
| | ## Usage |
| |
|
| | ```python |
| | from datasets import load_dataset |
| | |
| | # Load the dataset |
| | dataset = load_dataset("thehooklab/housing-nsw") |
| | |
| | # Access the data |
| | sales_data = dataset['train'] # All data is in the 'train' split |
| | ``` |
| |
|
| | ## Data Quality |
| |
|
| | - All numeric columns have been validated and non-numeric values converted to NaN |
| | - String columns are properly encoded |
| | - Files are tested for PyArrow compatibility |
| |
|
| | ## License |
| |
|
| | MIT License |
| |
|
| | ## Citation |
| |
|
| | If you use this dataset, please cite: |
| |
|
| | ``` |
| | @dataset{housing_nsw_2024, |
| | title={Housing NSW Dataset}, |
| | author={TheHookLab}, |
| | year={2024}, |
| | publisher={HuggingFace} |
| | } |
| | ``` |
| |
|
