modified: src/about.py

modified: src/oss/oss_submission_handler.py
modified: src/submission/submit.py

src/about.py

@@ -92,7 +92,8 @@ Results can be submitted as evaluation outputs in JSON format. Each submission s
 
 ### Required JSON Format:
 ```json
-{
+{   
+    "model_name": "Your Model Name",
     "submission_org": "Your Organization",
     "submission_email": "contact@example.com",
     "predictions": [

src/oss/oss_submission_handler.py

@@ -90,8 +90,14 @@ class OSSSubmissionHandler:
     def generate_submission_filename(self, submission_data: Dict[str, Any]) -> str:
         """生成提交文件名"""
         timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
+        
+        # 获取模型名和组织名
+        model_name = submission_data.get("model_name", "UnknownModel")
+        model_name = model_name.replace(" ", "_").replace("/", "_").replace("\\", "_").replace("-", "_")
         org_name = submission_data["submission_org"].replace(" ", "_").replace("/", "_").replace("\\", "_")
-        return f"submission_{org_name}_{timestamp}.json"
+        
+        # 格式: submission_模型名_组织_时间戳.json
+        return f"submission_{model_name}_{org_name}_{timestamp}.json"
     
     def upload_to_oss(self, submission_data: Dict[str, Any], filename: str) -> Tuple[bool, str]:
         """上传提交文件到OSS"""
@@ -174,23 +180,12 @@ class OSSSubmissionHandler:
             success_msg = self.format_success(f"""
 🎉 <strong>Submission successful!</strong><br><br>
 📋 <strong>Submission Information:</strong><br>
-• Organization: {org}<br>
-• Email: {email_addr}<br>
-• Number of predictions: {num_predictions} questions<br>
-• Filename: {filename}<br><br>
-🚀 <strong>Storage Location:</strong><br>
-{result}<br><br>
+•  Organization: {org}<br>
+•  Email: {email_addr}<br>
+•  Number of predictions: {num_predictions} questions<br>
+•  Filename: {filename}<br><br>
 ⚡ <strong>Evaluation Status:</strong><br>
-Your submission has been successfully uploaded to cloud storage. The automatic evaluation system will begin processing within 5-15 minutes.<br><br>
-⏳ <strong>Evaluation Process:</strong><br>
-1. 🔍 System automatically detects new submission<br>
-2. ⬇️ Downloads and validates submission format<br>
-3. 🔬 Performs comprehensive evaluation using LLM-as-Judge<br>
-4. 📊 Calculates accuracy for each subject and overall<br>
-5. 🏆 Automatically updates to leaderboard<br><br>
-🕐 <strong>Estimated Time:</strong><br>
-Evaluation completion time is approximately 5-15 minutes, depending on current queue length.<br>
-Please refresh the leaderboard later to view results.<br><br>
+Your submission has been successfully uploaded to cloud storage.<br><br>
 🧪 Thank you for participating in the ATLAS scientific reasoning benchmark!
             """)
             

src/submission/submit.py

@@ -82,8 +82,14 @@ def save_submission_file(submission_data: Dict[str, Any], submissions_dir: str =
     
     # 生成文件名
     timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
+    
+    # 获取模型名和组织名
+    model_name = submission_data.get("model_name", "UnknownModel")
+    model_name = model_name.replace(" ", "_").replace("/", "_").replace("\\", "_").replace("-", "_")
     org_name = submission_data["submission_org"].replace(" ", "_").replace("/", "_").replace("\\", "_")
-    filename = f"submission_{org_name}_{timestamp}.json"
+    
+    # 格式: submission_模型名_组织_时间戳.json
+    filename = f"submission_{model_name}_{org_name}_{timestamp}.json"
     
     # 完整文件路径
     file_path = os.path.join(submissions_dir, filename)
@@ -162,18 +168,10 @@ def process_sage_submission_simple(submission_file, model_name=None, org_name=No
             success_msg = format_success(f"""
 🎉 <strong>Submission successful!</strong><br><br>
 📋 <strong>Submission Information:</strong><br>
-• Organization: {org}<br>
-• Email: {email_addr}<br>
-• Number of predictions: {num_predictions} questions<br>
-• Filename: {filename}<br><br>
-🚀 <strong>Storage Status:</strong><br>
-File saved to local storage, awaiting system sync to evaluation environment.<br><br>
-⏳ <strong>Evaluation Process:</strong><br>
-Your submission will be automatically evaluated using LLM-as-Judge, including comprehensive testing of scientific reasoning capabilities.<br>
-Results will appear automatically on the leaderboard after evaluation is complete.<br><br>
-🕐 <strong>Estimated Time:</strong><br>
-• Normal case: 5-15 minutes<br>
-• Sync delay: 15-60 minutes<br><br>
+•  Organization: {org}<br>
+•  Email: {email_addr}<br>
+•  Number of predictions: {num_predictions} questions<br>
+•  Filename: {filename}<br><br>
 🧪 Thank you for participating in the ATLAS scientific reasoning benchmark!
             """)