Update CityLearn.py

CityLearn.py

@@ -9,7 +9,6 @@ _BASE_URL = "https://huggingface.co/datasets/TobiTob/CityLearn/resolve/main"
 _URLS = {
     "random_230": f"{_BASE_URL}/random_230x5x38.pkl",
     "f_230": f"{_BASE_URL}/f_230x5x38.pkl",
-    "f_50": f"{_BASE_URL}/f_50x5x1750.pkl",
     "f_24": f"{_BASE_URL}/f_24x5x364.pkl",
     "fr_24": f"{_BASE_URL}/fr_24x5x364.pkl",
     "fn_24": f"{_BASE_URL}/fn_24x5x3649.pkl",
@@ -38,10 +37,6 @@ class DecisionTransformerCityLearnDataset(datasets.GeneratorBasedBuilder):
             name="f_230",
             description="Data sampled from an expert LSTM policy. Sequence length = 230, Buildings = 5, Episodes = 1 ",
         ),
-        datasets.BuilderConfig(
-            name="f_50",
-            description="Data sampled from an expert LSTM policy with 10 episodes of repetition. Sequence length = 50, Buildings = 5, Episodes = 10 ",
-        ),
         datasets.BuilderConfig(
             name="f_24",
             description="Data sampled from an expert LSTM policy. Used the old reward function. Sequence length = 24, Buildings = 5, Episodes = 1 ",