diff --git a/assets/ar/factuality_disinformation_harmful_content/claim_detection/COVClaimDetect_GPT35_ZeroShot.py b/assets/ar/factuality_disinformation_harmful_content/claim_detection/COVClaimDetect_GPT35_ZeroShot.py
deleted file mode 100644
index f2107913..00000000
--- a/assets/ar/factuality_disinformation_harmful_content/claim_detection/COVClaimDetect_GPT35_ZeroShot.py
+++ /dev/null
@@ -1,65 +0,0 @@
-import os
-
-from llmebench.datasets import CovidClaimDataset
-from llmebench.models import GPTModel
-from llmebench.tasks import ClaimDetectionTask
-
-
-def config():
-    return {
-        "dataset": CovidClaimDataset,
-        "dataset_args": {},
-        "task": ClaimDetectionTask,
-        "task_args": {},
-        "model": GPTModel,
-        "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": "gpt",
-            "max_tries": 3,
-        },
-        "general_args": {
-            "data_path": "data/factuality_disinformation_harmful_content/claim_covid19/CT22_arabic_1B_claim_test_gold.tsv"
-        },
-    }
-
-
-def prompt(input_sample):
-    return {
-        "system_message": "You are an AI assistant that helps people find information.",
-        "messages": [
-            {
-                "sender": "user",
-                "text": "Does this sentence contain a factual claim? Answer only by yes or no."
-                "\n\nsentence: " + input_sample + "label: \n",
-            }
-        ],
-    }
-
-
-def post_process(response):
-    input_label = response["choices"][0]["text"]
-    input_label = input_label.replace(".", "").strip().lower()
-    pred_label = ""
-
-    if (
-        "yes" in input_label
-        or "contains a factual claim" in input_label
-        or "label: 1" in input_label
-    ):
-        pred_label = "1"
-    if (
-        input_label == "no"
-        or "label: 0" in input_label
-        or "label: no" in input_label
-        or "not contain a factual claim" in input_label
-        or "doesn't contain a factual claim" in input_label
-    ):
-        pred_label = "0"
-
-    if pred_label == "":
-        pred_label = None
-
-    return pred_label
diff --git a/assets/ar/factuality_disinformation_harmful_content/claim_detection/COVClaimDetect_BLOOMZ_ZeroShot.py b/assets/ar/factuality_disinformation_harmful_content/claim_detection/ClaimDetectCOVID19_BLOOMZ_ZeroShot.py
similarity index 100%
rename from assets/ar/factuality_disinformation_harmful_content/claim_detection/COVClaimDetect_BLOOMZ_ZeroShot.py
rename to assets/ar/factuality_disinformation_harmful_content/claim_detection/ClaimDetectCOVID19_BLOOMZ_ZeroShot.py
diff --git a/assets/ar/factuality_disinformation_harmful_content/claim_detection/COVClaimDetect_GPT4_FewShot.py b/assets/ar/factuality_disinformation_harmful_content/claim_detection/ClaimDetectCOVID19_GPT4_FewShot.py
similarity index 100%
rename from assets/ar/factuality_disinformation_harmful_content/claim_detection/COVClaimDetect_GPT4_FewShot.py
rename to assets/ar/factuality_disinformation_harmful_content/claim_detection/ClaimDetectCOVID19_GPT4_FewShot.py