Upload nbfi.py

nbfi.py

@@ -147,8 +147,8 @@ _CITATION = """"""
 
 # Dataset info
 urls_per_split = {
-    "train": "https://huggingface.co/datasets/mstz/nbfi/raw/main/Train_Dataset.csv", 
-    "test": "https://huggingface.co/datasets/mstz/nbfi/raw/main/Test_Dataset.csv"
+    "train": "https://gist.githubusercontent.com/msetzu/6c83dc3b7092d428ae2f08dc91e1020c/raw/9fc3171b293d0dc29963357450308eb4c7e3a15b/Train_Dataset.csv", 
+    "test": "https://gist.githubusercontent.com/msetzu/f0032b855008f579299d7ad78d9dd9c2/raw/ba42badeb10b505cb283bdb16d3de581ffe7a332/Test_Dataset.csv"
 }
 
 features_per_config = {k: datasets.Features(features_types_per_config[k]) for k in features_types_per_config}
@@ -201,7 +201,6 @@ class NBFI(datasets.GeneratorBasedBuilder):
 
 
     def preprocess(self, data: pandas.DataFrame, config: str = DEFAULT_CONFIG) -> pandas.DataFrame:
-        print(data.columns)
         data.drop("ID", axis="columns", inplace=True)
         data.drop("Own_House_Age", axis="columns", inplace=True)
         data.drop("Type_Organization", axis="columns", inplace=True)