diff --git a/assets/ar/sentiment_emotion_others/sentiment/ArSAS_GPT4_FewShot.py b/assets/ar/sentiment_emotion_others/sentiment/ArSAS_GPT4_FewShot.py
new file mode 100644
index 00000000..2209dd98
--- /dev/null
+++ b/assets/ar/sentiment_emotion_others/sentiment/ArSAS_GPT4_FewShot.py
@@ -0,0 +1,64 @@
+import os
+
+from llmebench.datasets import ArSASDataset
+from llmebench.models import OpenAIModel
+from llmebench.tasks import SentimentTask
+
+
+def config():
+    return {
+        "dataset": ArSASDataset,
+        "dataset_args": {},
+        "task": SentimentTask,
+        "task_args": {},
+        "model": OpenAIModel,
+        "model_args": {
+            "class_labels": ["Positive", "Negative", "Neutral", "Mixed"],
+            "max_tries": 3,
+        },
+        "general_args": {
+            "data_path": "data/sentiment_emotion_others/sentiment/ArSAS-test.txt",
+            "fewshot": {
+                "train_data_path": "data/sentiment_emotion_others/sentiment/ArSAS-train.txt",
+            },
+        },
+    }
+
+
+def few_shot_prompt(input_sample, base_prompt, examples):
+    out_prompt = base_prompt + "\n"
+    for example in examples:
+        out_prompt = (
+            out_prompt
+            + "Sentence: "
+            + example["input"]
+            + "\n"
+            + example["label"]
+            + "\n\n"
+        )
+    out_prompt = out_prompt + "Sentence: " + input_sample + "\n"
+
+    return out_prompt
+
+
+def prompt(input_sample, examples):
+    base_prompt = "Choose only one sentiment between: Positive, Negative, Neutral, or Mixed for this Arabic sentence."
+
+    return [
+        {
+            "role": "system",
+            "content": "You are an AI assistant that helps people find information.",
+        },
+        {
+            "role": "user",
+            "content": few_shot_prompt(input_sample, base_prompt, examples),
+        },
+    ]
+
+
+def post_process(response):
+    out = response["choices"][0]["message"]["content"]
+    j = out.find(".")
+    if j > 0:
+        out = out[0:j]
+    return out