Upload 4 files
Browse files- .gitattributes +3 -0
- README.md +75 -0
- nsw_property_master_enriched.parquet +3 -0
- nsw_property_sales_master.parquet +3 -0
- nsw_rental_market_master.parquet +3 -0
.gitattributes
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nsw_property_master_enriched.parquet filter=lfs diff=lfs merge=lfs -text
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nsw_property_sales_master.parquet filter=lfs diff=lfs merge=lfs -text
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nsw_rental_market_master.parquet filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: mit
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task_categories:
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- tabular-regression
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- time-series-forecasting
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language:
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- en
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tags:
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- real-estate
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- housing
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- australia
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- property-prices
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- nsw
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size_categories:
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- 1M<n<10M
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configs:
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- config_name: sales
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data_files: nsw_property_sales_master.parquet
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default: true
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- config_name: enriched
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data_files: nsw_property_master_enriched.parquet
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- config_name: rental
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data_files: nsw_rental_market_master.parquet
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---
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# NSW Property Dataset
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Comprehensive property market data for New South Wales, Australia.
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## Dataset Configurations
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| Config | File | Rows | Description |
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|--------|------|------|-------------|
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| `sales` (default) | `nsw_property_sales_master.parquet` | 3.49M | Historical property transactions 1990-2024 |
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| `enriched` | `nsw_property_master_enriched.parquet` | 83.5K | Properties with analytics, demographics, transport |
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| `rental` | `nsw_rental_market_master.parquet` | 48.2K | Rental bond records with pricing |
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## Usage
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```python
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from datasets import load_dataset
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# Load sales data (default)
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sales = load_dataset("thehooklab/nsw-property")
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# Load enriched properties
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enriched = load_dataset("thehooklab/nsw-property", "enriched")
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# Load rental data
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rental = load_dataset("thehooklab/nsw-property", "rental")
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```
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## Key Features
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**Sales Data:**
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- Property ID, address, locality, postcode
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- Contract date and purchase price
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- Property type, zone, land area
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- Coordinates (lat/lon for some records)
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**Enriched Properties:**
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- Market analytics (median prices, growth potential)
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- Rental yield estimates
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- Transport accessibility (nearest station, distance)
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- Demographics (walkability, family-friendly scores)
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- School ratings and crime indices
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**Rental Data:**
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- Lodgement dates and weekly rent
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- Dwelling types and bedrooms
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- Bond amounts
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## License
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MIT License
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nsw_property_master_enriched.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:8cfddab9d3d4e54de7822d00b7769988e64a9b925d38a03d8a945c989dc28415
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size 2229708
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nsw_property_sales_master.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:e428700f818dcd6f79b443f5b69bde2f5c9d2b5ded8e4b7c8255f033e1f5f3bc
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size 69939665
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nsw_rental_market_master.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:27a358962098fa041b971a4fe4601b4fb64d7209f7d864c11896d80464e07f06
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size 443360
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