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README.md

@@ -1161,6 +1161,58 @@ dataset_info:
     num_examples: 406
   download_size: 237499
   dataset_size: 225400
+- config_name: harlfoxem__housesalesprediction
+  features:
+  - name: id
+    dtype: int64
+  - name: date
+    dtype: string
+  - name: bedrooms
+    dtype: int64
+  - name: bathrooms
+    dtype: float64
+  - name: sqft_living
+    dtype: int64
+  - name: sqft_lot
+    dtype: int64
+  - name: floors
+    dtype: float64
+  - name: waterfront
+    dtype: int64
+  - name: view
+    dtype: int64
+  - name: condition
+    dtype: int64
+  - name: grade
+    dtype: int64
+  - name: sqft_above
+    dtype: int64
+  - name: sqft_basement
+    dtype: int64
+  - name: yr_built
+    dtype: int64
+  - name: yr_renovated
+    dtype: int64
+  - name: zipcode
+    dtype: int64
+  - name: lat
+    dtype: float64
+  - name: long
+    dtype: float64
+  - name: sqft_living15
+    dtype: int64
+  - name: sqft_lot15
+    dtype: int64
+  - name: __FeatEng_target__
+    dtype: float64
+  - name: __index_level_0__
+    dtype: int64
+  splits:
+  - name: train
+    num_bytes: 3649118
+    num_examples: 19514
+  download_size: 1200930
+  dataset_size: 3649118
 - config_name: henrysue__online-shoppers-intention
   features:
   - name: Administrative
@@ -3778,6 +3830,10 @@ configs:
     path: harish24__music-genre-classification/train-*
   - split: test
     path: harish24__music-genre-classification/test-*
+- config_name: harlfoxem__housesalesprediction
+  data_files:
+  - split: train
+    path: harlfoxem__housesalesprediction/train-*
 - config_name: henrysue__online-shoppers-intention
   data_files:
   - split: train

harlfoxem__housesalesprediction/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:aae63aaf0bcae42fc347e3de0421da0c33c6ff9aaa12e913c3da130bdd448f5c
+size 1200930