Upload dataset

README.md

@@ -1,6 +1,185 @@
 ---
 tags:
 - ml-intern
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+dataset_info:
+  features:
+  - name: Region_Africa
+    dtype: float64
+  - name: Region_Asia
+    dtype: float64
+  - name: Region_Canada
+    dtype: float64
+  - name: Region_Central America/Caribbean
+    dtype: float64
+  - name: Region_Eastern Europe
+    dtype: float64
+  - name: Region_Middle East
+    dtype: float64
+  - name: Region_Pacific
+    dtype: float64
+  - name: Region_South America
+    dtype: float64
+  - name: Region_United States
+    dtype: float64
+  - name: Region_Western Europe
+    dtype: float64
+  - name: Product_Boot
+    dtype: float64
+  - name: Product_Men's Casual
+    dtype: float64
+  - name: Product_Men's Dress
+    dtype: float64
+  - name: Product_Sandal
+    dtype: float64
+  - name: Product_Slipper
+    dtype: float64
+  - name: Product_Sport Shoe
+    dtype: float64
+  - name: Product_Women's Casual
+    dtype: float64
+  - name: Product_Women's Dress
+    dtype: float64
+  - name: Subsidiary_Addis Ababa
+    dtype: float64
+  - name: Subsidiary_Al-Khobar
+    dtype: float64
+  - name: Subsidiary_Algiers
+    dtype: float64
+  - name: Subsidiary_Auckland
+    dtype: float64
+  - name: Subsidiary_Bangkok
+    dtype: float64
+  - name: Subsidiary_Bogota
+    dtype: float64
+  - name: Subsidiary_Budapest
+    dtype: float64
+  - name: Subsidiary_Buenos Aires
+    dtype: float64
+  - name: Subsidiary_Cairo
+    dtype: float64
+  - name: Subsidiary_Calgary
+    dtype: float64
+  - name: Subsidiary_Canberra
+    dtype: float64
+  - name: Subsidiary_Caracas
+    dtype: float64
+  - name: Subsidiary_Chicago
+    dtype: float64
+  - name: Subsidiary_Copenhagen
+    dtype: float64
+  - name: Subsidiary_Dubai
+    dtype: float64
+  - name: Subsidiary_Geneva
+    dtype: float64
+  - name: Subsidiary_Heidelberg
+    dtype: float64
+  - name: Subsidiary_Jakarta
+    dtype: float64
+  - name: Subsidiary_Johannesburg
+    dtype: float64
+  - name: Subsidiary_Khartoum
+    dtype: float64
+  - name: Subsidiary_Kingston
+    dtype: float64
+  - name: Subsidiary_Kinshasa
+    dtype: float64
+  - name: Subsidiary_Kuala Lumpur
+    dtype: float64
+  - name: Subsidiary_La Paz
+    dtype: float64
+  - name: Subsidiary_Lisbon
+    dtype: float64
+  - name: Subsidiary_London
+    dtype: float64
+  - name: Subsidiary_Los Angeles
+    dtype: float64
+  - name: Subsidiary_Luanda
+    dtype: float64
+  - name: Subsidiary_Madrid
+    dtype: float64
+  - name: Subsidiary_Managua
+    dtype: float64
+  - name: Subsidiary_Manila
+    dtype: float64
+  - name: Subsidiary_Mexico City
+    dtype: float64
+  - name: Subsidiary_Minneapolis
+    dtype: float64
+  - name: Subsidiary_Montevideo
+    dtype: float64
+  - name: Subsidiary_Montreal
+    dtype: float64
+  - name: Subsidiary_Moscow
+    dtype: float64
+  - name: Subsidiary_Nairobi
+    dtype: float64
+  - name: Subsidiary_New York
+    dtype: float64
+  - name: Subsidiary_Ottawa
+    dtype: float64
+  - name: Subsidiary_Paris
+    dtype: float64
+  - name: Subsidiary_Prague
+    dtype: float64
+  - name: Subsidiary_Rome
+    dtype: float64
+  - name: Subsidiary_San Juan
+    dtype: float64
+  - name: Subsidiary_Santiago
+    dtype: float64
+  - name: Subsidiary_Sao Paulo
+    dtype: float64
+  - name: Subsidiary_Seattle
+    dtype: float64
+  - name: Subsidiary_Seoul
+    dtype: float64
+  - name: Subsidiary_Singapore
+    dtype: float64
+  - name: Subsidiary_Tel Aviv
+    dtype: float64
+  - name: Subsidiary_Tokyo
+    dtype: float64
+  - name: Subsidiary_Toronto
+    dtype: float64
+  - name: Subsidiary_Vancouver
+    dtype: float64
+  - name: Subsidiary_Warsaw
+    dtype: float64
+  - name: Stores_std
+    dtype: float64
+  - name: Sales_std
+    dtype: float64
+  - name: Inventory_std
+    dtype: float64
+  - name: Returns_std
+    dtype: float64
+  - name: Sales_per_Store_std
+    dtype: float64
+  - name: Return_Rate_std
+    dtype: float64
+  - name: Inventory_per_Store_std
+    dtype: float64
+  - name: Sales_to_Inventory_std
+    dtype: float64
+  - name: target_Sales
+    dtype: int64
+  - name: raw_Stores
+    dtype: int64
+  - name: raw_Returns
+    dtype: int64
+  - name: raw_Inventory
+    dtype: int64
+  splits:
+  - name: train
+    num_bytes: 258960
+    num_examples: 390
+  download_size: 74599
+  dataset_size: 258960
 ---
 
 # Aryanzende017/market-preprocessed

data/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5a1f73b7afc7fbf1ff3d833e851697568133af85a04248e739814de749efd744
+size 74599