Upload higgs.py

higgs.py

@@ -57,7 +57,7 @@ _CITATION = """
 
 # Dataset info
 urls_per_split = {
-    "train": "https://huggingface.co/datasets/mstz/higgs/raw/main/higgs.csv",
+    "train": "https://gist.githubusercontent.com/msetzu/e6da8d21c81f38e9604aff1965bbdba4/raw/74731a2a816ab5ca898b8a98ccf59d2023b4b81f/gistfile1.txt",
 }
 features_types_per_config = {
     "higgs": {
@@ -121,8 +121,6 @@ class Higgs(datasets.GeneratorBasedBuilder):
     
     def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
         downloads = dl_manager.download_and_extract(urls_per_split)
-        print(f"Downloaded a {type(downloads['train'])}")
-        print(downloads["train"])
 
         return [
             datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloads["train"]})
@@ -140,12 +138,6 @@ class Higgs(datasets.GeneratorBasedBuilder):
 
     def preprocess(self, data: pandas.DataFrame, config: str = "higgs") -> pandas.DataFrame:       
         if config == "higgs":
-            print("data.columns")
-            print(list(data.columns))
-            print("\n\n")
-            print("list(features_types_per_config[config].keys())")
-            print(list(features_types_per_config[config].keys()))
-            print("\n\n")
             return data[list(features_types_per_config[config].keys())]
         else:
             raise ValueError(f"Unknown config: {config}")