diff --git a/scripts/xtuner2sharegpt.py b/scripts/xtuner2sharegpt.py
new file mode 100644
index 0000000..00e790c
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+++ b/scripts/xtuner2sharegpt.py
@@ -0,0 +1,59 @@
+import json
+
+# Given JSON data in string format
+# original_json_data = """
+# [
+#     {
+#         "conversation": [
+#             {"system": "system", "input": "input", "output": "output"},
+#             {"input": "input", "output": "output"},
+#             {"input": "input", "output": "output"}
+#         ]
+#     },
+#     {
+#         "conversation": [
+#             {"system": "system", "input": "input", "output": "output"},
+#             {"input": "input", "output": "output"},
+#             {"input": "input", "output": "output"}
+#         ]
+#     }
+# ]
+# """
+
+# Parse the original JSON data into Python objects
+def convert_xtuner_to_sharegpt(input_path, output_path):
+    with open(input_path, 'r', encoding='utf-8') as file:
+        data = json.load(file)
+
+    # Initialize a new list to hold transformed conversations
+    transformed_conversations = []
+
+    for conversation_group in data:
+        system = conversation_group["conversation"][0]["system"]
+
+        # Extract human and GPT inputs and outputs from each conversation pair
+        transformed_pairs = []
+        for pair in conversation_group["conversation"]:
+            # if "system" in pair:
+            #     continue  # Skip the initial system entry
+
+            transformed_pairs.append({"from": "human", "value": pair["input"]})
+            transformed_pairs.append({"from": "gpt", "value": pair["output"]})
+        # print(transformed_pairs)
+        # Add the transformed conversation group to the result list
+        transformed_conversation = {
+            "conversations": transformed_pairs,
+            "system": system,
+        }
+        transformed_conversations.append(transformed_conversation)
+
+    # Convert the transformed Python objects back into JSON format
+    with open(output_path, "w", encoding='utf-8') as output_file:
+        json.dump(transformed_conversations, output_file, ensure_ascii=False, indent=4)
+        
+
+if __name__ == "__main__":
+    input_path = "../datasets/scientist.json"
+    output_path = "../datasets/scientist_sharegpt.json"
+    convert_xtuner_to_sharegpt(input_path, output_path)
+    
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