Update README.md

README.md

@@ -196,6 +196,46 @@ in different formats. For my own purpose I downloaded the CSV version that updat
 For more details about data cleaning and processing, you could refer to the `data_cleaning.py` file under this repo. You are more than welcome to download the raw
 data and process the dataset yourself.
 
+To load the dataset, you could use the following command:
+```python
+!pip install datasets
+from datasets import load_dataset
+dataset = load_dataset("HathawayLiu/housing_dataset", trust_remote_code=True)
+```
+To generate the exmaple from train/test set, use:
+```python
+next(iter(dataset['train']))
+## next(iter(dataset['test']))
+```
+You can see the example from dataset like the following:
+```
+{'PermitNum': '6075593-CN',
+ 'PermitClass': 'Single Family/Duplex',
+ 'PermitClassMapped': 'Residential',
+ 'PermitTypeMapped': 'Building',
+ 'PermitTypeDesc': 'Addition/Alteration',
+ 'Description': 'Replace existing windows; Upgrade new windows and framing for existing single family residence subject to field inspection',
+ 'HousingUnits': 0,
+ 'HousingUnitsRemoved': 0,
+ 'HousingUnitsAdded': 0,
+ 'EstProjectCost': 43014.0,
+ 'AppliedDate': '10/12/05',
+ 'IssuedDate': '10/12/05',
+ 'ExpiresDate': '4/12/07',
+ 'CompletedDate': '2/1/06',
+ 'StatusCurrent': 'Completed',
+ 'RelatedMup': 'nan',
+ 'OriginalAddress1': '624 NW 88TH ST',
+ 'OriginalCity': 'SEATTLE',
+ 'OriginalState': 'WA',
+ 'OriginalZip': 98117,
+ 'ContractorCompanyName': 'STATEWIDE INC',
+ 'Link': 'https://cosaccela.seattle.gov/portal/customize/LinkToRecord.aspx?altId=6075593-CN',
+ 'Latitude': 47.692996978759766,
+ 'Longitude': -122.36441040039062,
+ 'Location1': '47.69299754, -122.3644121',
+ 'NeighborDistrict': 'Northwest'}
+```
 #### Who are the source data producers?
 
 The Building Permits dataset is originally created and maintained by the City of Seattle, specifically by its Department of Construction and Inspections. 
@@ -226,8 +266,3 @@ To address the bias and limitations above, users should intake the following rec
 - **Cross-Verification**: Use supplementary data sources for a more comprehensive view.
 - **Privacy and Ethical Use**: Handle data responsibly, respecting privacy and avoiding discriminatory practices.
 - **Data Cleaning and Validation**: Regularly update and clean the dataset to maintain accuracy and reliability.
-
-
-**BibTeX:**
-
-[More Information Needed]