diff --git a/assets/ar/sentiment_emotion_others/sentiment/ArSAS_GPT4_ZeroShot.py b/assets/ar/sentiment_emotion_others/sentiment/ArSAS_GPT4_ZeroShot.py
index d4086da8..5bd23f36 100644
--- a/assets/ar/sentiment_emotion_others/sentiment/ArSAS_GPT4_ZeroShot.py
+++ b/assets/ar/sentiment_emotion_others/sentiment/ArSAS_GPT4_ZeroShot.py
@@ -1,29 +1,22 @@
-import os
-
-from llmebench.datasets import ArSASSentimentDataset
-from llmebench.models import GPTChatCompletionModel
+from llmebench.datasets import ArSASDataset
+from llmebench.models import OpenAIModel
 from llmebench.tasks import SentimentTask
 
 
+def metadata():
+    return {
+        "author": "Arabic Language Technologies, QCRI, HBKU",
+        "model": "gpt-4-32k (version 0314)",
+        "description": "GPT4 32k tokens model hosted on Azure, using the ChatCompletion API. API version '2023-03-15-preview'. Uses an prompt specified in Arabic.",
+        "scores": {"Macro-F1": "0.547"},
+    }
+
+
 def config():
     return {
-        "dataset": ArSASSentimentDataset,
-        "dataset_args": {},
+        "dataset": ArSASDataset,
         "task": SentimentTask,
-        "task_args": {},
-        "model": GPTChatCompletionModel,
-        "model_args": {
-            "api_type": "azure",
-            "api_version": "2023-03-15-preview",
-            "api_base": os.environ["AZURE_API_URL"],
-            "api_key": os.environ["AZURE_API_KEY"],
-            "engine_name": os.environ["ENGINE_NAME"],
-            "class_labels": ["Positive", "Negative", "Neutral", "Mixed"],
-            "max_tries": 30,
-        },
-        "general_args": {
-            "data_path": "data/sentiment_emotion_others/sentiment/ArSAS-test.txt"
-        },
+        "model": OpenAIModel,
     }