Update CityLearn.py

CityLearn.py

@@ -15,6 +15,7 @@ _URLS = {
     "s_random3": f"{_BASE_URL}/s_random3.pkl",
     "s_random4": f"{_BASE_URL}/s_random4.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",
     "rb_24": f"{_BASE_URL}/rb_24x5x364.pkl",
@@ -65,6 +66,10 @@ class DecisionTransformerCityLearnDataset(datasets.GeneratorBasedBuilder):
             name="f_50",
             description="Data sampled from an expert policy in CityLearn environment. Sequence length = 50, Buildings = 5, Episodes = 10 ",
         ),
+        datasets.BuilderConfig(
+            name="f_24",
+            description="Data sampled from an expert policy in CityLearn environment. Sequence length = 24, Buildings = 5, Episodes = 1 ",
+        ),
         datasets.BuilderConfig(
             name="fr_24",
             description="Data sampled from an expert policy in CityLearn environment. Used the new reward function. Sequence length = 24, Buildings = 5, Episodes = 1 ",