Update electricity.py

electricity.py

@@ -16,15 +16,8 @@ _HOMEPAGE = "TBD"
 
 _LICENSE = "TBD"
 
-# _URL = "https://huggingface.co/datasets/maxcembalest/electricity/raw/main/"
-
 _URL = "https://raw.githubusercontent.com/arthuractivemodeling/sandbox-data/main/electricity/data/"
 
-# _URLS = {
-#     "train": "https://github.com/arthuractivemodeling/sandbox-data/blob/main/electricity/data/electricity_train.csv",
-#     "val": "https://github.com/arthuractivemodeling/sandbox-data/blob/main/electricity/data/electricity_val.csv"
-# }
-
 _URLS = {
     "train": _URL + "electricity_train.csv",
     "val": _URL + "electricity_val.csv"
@@ -36,10 +29,10 @@ class Electricity(datasets.GeneratorBasedBuilder):
     VERSION = datasets.Version("0.1.0")
 
     BUILDER_CONFIGS = [
-        datasets.BuilderConfig(name="arthur_github", version=VERSION, description="TBD")
+        datasets.BuilderConfig(name="default", version=VERSION, description="TBD")
     ]
 
-    DEFAULT_CONFIG_NAME = "arthur_github"
+    DEFAULT_CONFIG_NAME = "default"
 
     # write out the features in the order they appear in the dataframe
     FEATURES = ["date", "day", "period", "nswprice", "nswdemand", "vicprice", "vicdemand", "transfer"]
@@ -68,11 +61,6 @@ class Electricity(datasets.GeneratorBasedBuilder):
     def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
         downloaded_files = dl_manager.download_and_extract(_URLS)
 
-        # return [
-        #     datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]}),
-        #     datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["val"]}),
-        # ]
-
         return [
             datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": "electricity_train.csv"}),
             datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": "electricity_val.csv"}),
@@ -83,11 +71,3 @@ class Electricity(datasets.GeneratorBasedBuilder):
         for row_id, row in data.iterrows():
             yield row_id, dict(row)
 
-        # data.columns = self.FEATURES + self.GROUND_TRUTH
-        # data = self.preprocess(data, config=self.config.name)
-        # with open(filepath) as f:
-        #     for key, row in enumerate(f):
-        #         if key > 0: assert 0 == 1
-        #         data = json.loads(row)
-        #         yield data["index"], {f: data[f] for f in self.FEATURES+self.GROUND_TRUTH}
-