Update CityLearn.py

CityLearn.py

@@ -4,26 +4,15 @@ import datasets
 import numpy as np
 
 _DESCRIPTION = """\
-A subset of the D4RL dataset, used for training Decision Transformers
+This dataset is used to train a decision Transformer for the CityLearn 2022 environment https://www.aicrowd.com/challenges/neurips-2022-citylearn-challenge
 """
 
-_HOMEPAGE = "https://github.com/rail-berkeley/d4rl"
-
-_LICENSE = "Apache-2.0"
-
 # 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/edbeeching/decision_transformer_gym_replay/resolve/main/data"
+_BASE_URL = "https://huggingface.co/datasets/TobiTob/CityLearn/resolve/main/data"
 _URLS = {
-    "halfcheetah-expert-v2": f"{_BASE_URL}/halfcheetah-expert-v2.pkl",
+    "sequences": f"{_BASE_URL}/sequences.pkl",
     "halfcheetah-medium-replay-v2": f"{_BASE_URL}/halfcheetah-medium-replay-v2.pkl",
-    "halfcheetah-medium-v2": f"{_BASE_URL}/halfcheetah-medium-v2.pkl",
-    "hopper-expert-v2": f"{_BASE_URL}/hopper-expert-v2.pkl",
-    "hopper-medium-replay-v2": f"{_BASE_URL}/hopper-medium-replay-v2.pkl",
-    "hopper-medium-v2": f"{_BASE_URL}/hopper-medium-v2.pkl",
-    "walker2d-expert-v2": f"{_BASE_URL}/walker2d-expert-v2.pkl",
-    "walker2d-medium-replay-v2": f"{_BASE_URL}/walker2d-medium-replay-v2.pkl",
-    "walker2d-medium-v2": f"{_BASE_URL}/walker2d-medium-v2.pkl",
 }
 
 
@@ -46,50 +35,15 @@ class DecisionTransformerGymDataset(datasets.GeneratorBasedBuilder):
     # data = datasets.load_dataset('my_dataset', 'second_domain')
     BUILDER_CONFIGS = [
         datasets.BuilderConfig(
-            name="halfcheetah-expert-v2",
+            name="sequences",
             version=VERSION,
-            description="Data sampled from an expert policy in the halfcheetah Mujoco environment",
+            description="Test Data sampled from an expert policy in CityLearn environment",
         ),
         datasets.BuilderConfig(
             name="halfcheetah-medium-replay-v2",
             version=VERSION,
             description="Data sampled from an medium policy in the halfcheetah Mujoco environment",
         ),
-        datasets.BuilderConfig(
-            name="halfcheetah-medium-v2",
-            version=VERSION,
-            description="Data sampled from an medium policy in the halfcheetah Mujoco environment",
-        ),
-        datasets.BuilderConfig(
-            name="hopper-expert-v2",
-            version=VERSION,
-            description="Data sampled from an expert policy in the hopper Mujoco environment",
-        ),
-        datasets.BuilderConfig(
-            name="hopper-medium-replay-v2",
-            version=VERSION,
-            description="Data sampled from an medium policy in the hopper Mujoco environment",
-        ),
-        datasets.BuilderConfig(
-            name="hopper-medium-v2",
-            version=VERSION,
-            description="Data sampled from an medium policy in the hopper Mujoco environment",
-        ),
-        datasets.BuilderConfig(
-            name="walker2d-expert-v2",
-            version=VERSION,
-            description="Data sampled from an expert policy in the halfcheetah Mujoco environment",
-        ),
-        datasets.BuilderConfig(
-            name="walker2d-medium-replay-v2",
-            version=VERSION,
-            description="Data sampled from an medium policy in the halfcheetah Mujoco environment",
-        ),
-        datasets.BuilderConfig(
-            name="walker2d-medium-v2",
-            version=VERSION,
-            description="Data sampled from an medium policy in the halfcheetah Mujoco environment",
-        ),
     ]
 
     def _info(self):
@@ -114,9 +68,6 @@ class DecisionTransformerGymDataset(datasets.GeneratorBasedBuilder):
             # specify them. They'll be used if as_supervised=True in builder.as_dataset.
             # supervised_keys=("sentence", "label"),
             # Homepage of the dataset for documentation
-            homepage=_HOMEPAGE,
-            # License for the dataset if available
-            license=_LICENSE,
         )
 
     def _split_generators(self, dl_manager):