Update CityLearn.py

CityLearn.py

@@ -18,7 +18,11 @@ _URLS = {
     "fr_24": f"{_BASE_URL}/fr_24x5x364.pkl",
     "fn_24": f"{_BASE_URL}/fn_24x5x3649.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",
     "rb_230": f"{_BASE_URL}/rb_230x5x38.pkl",
+    "rb_461": f"{_BASE_URL}/rb_461x5x19.pkl",
+    "rb_973": f"{_BASE_URL}/rb_973x5x9.pkl",
     "rb_2189": f"{_BASE_URL}/rb_2189x5x4.pkl",
     "rbn_24": f"{_BASE_URL}/rb_24x5x18247.pkl",
 }
@@ -73,10 +77,26 @@ class DecisionTransformerCityLearnDataset(datasets.GeneratorBasedBuilder):
             name="rb_24",
             description="Data sampled from a simple rule based policy. Used the new reward function. Sequence length = 24, Buildings = 5, Episodes = 1 ",
         ),
+        datasets.BuilderConfig(
+            name="rb_50",
+            description="Data sampled from a simple rule based policy. Used the new reward function. Sequence length = 50, Buildings = 5, Episodes = 1 ",
+        ),
+        datasets.BuilderConfig(
+            name="rb_108",
+            description="Data sampled from a simple rule based policy. Used the new reward function. Sequence length = 108, Buildings = 5, Episodes = 1 ",
+        ),
         datasets.BuilderConfig(
             name="rb_230",
             description="Data sampled from a simple rule based policy. Used the new reward function. Sequence length = 230, Buildings = 5, Episodes = 1 ",
         ),
+        datasets.BuilderConfig(
+            name="rb_461",
+            description="Data sampled from a simple rule based policy. Used the new reward function. Sequence length = 461, Buildings = 5, Episodes = 1 ",
+        ),
+        datasets.BuilderConfig(
+            name="rb_973",
+            description="Data sampled from a simple rule based policy. Used the new reward function. Sequence length = 973, Buildings = 5, Episodes = 1 ",
+        ),
         datasets.BuilderConfig(
             name="rb_2189",
             description="Data sampled from a simple rule based policy. Used the new reward function. Sequence length = 2189, Buildings = 5, Episodes = 1 ",