Update README.md

README.md

@@ -47,4 +47,29 @@ language:
 - en
 size_categories:
 - 10K<n<100K
----
+---
+
+#california_housing
+
+## About
+🏠 The California Housing dataset, first appearing in "Sparse spatial autoregressions" (1997)
+
+## Description
+This is an (unofficial) Hugging Face version of the California Housing dataset from the S&P Letters paper "Sparse spatial autoregressions" (1997). It can also be found in [StatLib](https://lib.stat.cmu.edu/datasets/) and [Luis Torgo's page](https://www.dcc.fc.up.pt/~ltorgo/Regression/cal_housing.html). A modified version of it, used in "Hands-On Machine learning with Scikit-Learn and TensorFlow",  with 9 differenfeatures and missing values, also circulates online.
+
+The California Housing dataset comes from the California 1990 Census. It contains 20640 samples, each of which corresponds to a geographical block and the people living therein. Specifically, it contains the following 8 features:
+1) MedInc: Median income of the people living in the block
+2) HouseAge: Median age of the houses in a block
+3) AveRooms: Average rooms of houses in a block
+4) AveBedrms: Average bedrooms of houses in a block
+5) Population: Number of people living in a block
+6) AveOccup: Average number of people under the same roof
+7) Latitude: Geographical latitude
+8) Longitude: Geographical longitude
+
+The target variable is the median house value (MedHouseVal).
+
+## Usage
+    import datasets
+
+    dataset = datasets.load_dataset("gvlassis/california_housing")