Update CityLearn.py

CityLearn.py

@@ -2,25 +2,17 @@ import pickle
 import datasets
 import numpy as np
 
-_DESCRIPTION = """\
-A subset of the D4RL dataset, used for training Decision Transformers
-"""
-
-
-# The HuggingFace Datasets library doesn't host the datasets but only points to the original files.
-# This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
 _BASE_URL = "https://huggingface.co/datasets/TobiTob/CityLearn/resolve/main"
 _URLS = {
-    "s1_test": f"{_BASE_URL}/s1_test.pkl",
+    "s_test": f"{_BASE_URL}/s_test.pkl",
+    "s_8759x5": f"{_BASE_URL}/s_8759x5.pkl",
     "test": f"{_BASE_URL}/test.pkl",
 }
 
 
 class DecisionTransformerCityLearnDataset(datasets.GeneratorBasedBuilder):
     """The dataset comprises of tuples of (Observations, Actions, Rewards, Dones) sampled
-    by an expert policy for various continuous control tasks (halfcheetah, hopper, walker2d)"""
-
-    VERSION = datasets.Version("1.1.0")
+    by agents interacting with the CityLearn 2022 phase 1 environment"""
 
     # This is an example of a dataset with multiple configurations.
     # If you don't want/need to define several sub-sets in your dataset,
@@ -35,13 +27,15 @@ class DecisionTransformerCityLearnDataset(datasets.GeneratorBasedBuilder):
     # data = datasets.load_dataset('my_dataset', 'second_domain')
     BUILDER_CONFIGS = [
         datasets.BuilderConfig(
-            name="s1_test",
-            version=VERSION,
+            name="s_test",
+            description="Test Data sampled from an expert policy in CityLearn environment",
+        ),
+        datasets.BuilderConfig(
+            name="s_8759x5",
             description="Test Data sampled from an expert policy in CityLearn environment",
         ),
         datasets.BuilderConfig(
             name="test",
-            version=VERSION,
             description="Test Data sampled from an expert policy in CityLearn environment",
         ),
     ]