Update CityLearn.py

CityLearn.py

@@ -19,6 +19,7 @@ _URLS = {
     "f_24": f"{_BASE_URL}/f_24x5x364.pkl",
     "fr_24": f"{_BASE_URL}/fr_24x5x364.pkl",
     "fn_24": f"{_BASE_URL}/fn_24x5x3649.pkl",
+    "fn_230": f"{_BASE_URL}/fn_230x5x380.pkl",
     "rb_24": f"{_BASE_URL}/rb_24x5x364.pkl",
     "rb_50": f"{_BASE_URL}/rb_50x5x175.pkl",
     "rb_108": f"{_BASE_URL}/rb_108x5x81.pkl",
@@ -83,6 +84,10 @@ class DecisionTransformerCityLearnDataset(datasets.GeneratorBasedBuilder):
             name="fn_24",
             description="Data sampled from an expert policy in CityLearn environment. Used the new reward function and changed some interactions with noise. Sequence length = 24, Buildings = 5, Episodes = 10 ",
         ),
+        datasets.BuilderConfig(
+            name="fn_230",
+            description="Data sampled from an expert policy in CityLearn environment. Used the new reward function and changed some interactions with noise. Sequence length = 230, Buildings = 5, Episodes = 10 ",
+        ),
         datasets.BuilderConfig(
             name="rb_24",
             description="Data sampled from a simple rule based policy. Used the new reward function. Sequence length = 24, Buildings = 5, Episodes = 1 ",