Update README.md

README.md

@@ -251,7 +251,7 @@ for q, q_id, a in zip(questions['question'], questions['question_id'], answers['
     <li><strong style="color: black;">Thousands Separator:</strong> Do not use commas to separate large numbers. <em>(Example: <code>1000</code>, not <code>1,000</code>)</em></li>
     <li><strong style="color: black;">No Filler Text:</strong> Output <strong style="color: black;">only</strong> the requested data. Do not frame your answer in full sentences (e.g., avoid "The answer is...").</li>
   </ul>
-  <p><strong style="color: black;">Final Output Format:</strong> When generating the final extracted data, your system must prefix the response with the following exact phrasing:</p>
+  <p><strong style="color: black;">Final Output Format:</strong> For subissions on the RRC server the final extracted answer is need. We recommend that your system prefixes the final response with the following exact phrasing:</p>
   <pre style="background-color: white; color: black; border: 1px dashed black; padding: 10px; border-radius: 4px;"><code>FINAL ANSWER: [Your formatted answer]</code></pre>
 </div>
 
@@ -259,8 +259,9 @@ for q, q_id, a in zip(questions['question'], questions['question_id'], answers['
 
 ## Evaluation Code & Baselines
 
-To ensure consistency and fairness, all submissions are evaluated using our official automated evaluation pipeline. This pipeline handles the extraction of your model's answers and applies both strict formatting checks (for numbers, dates, and units) and relaxed text matching (ANLS) for text-based answers.
+To ensure consistency and fairness, all test submissions are evaluated using our official automated evaluation pipeline on [RRC Sever](https://rrc.cvc.uab.es/?ch=34&com=introduction). 
 
+For the validation set this pipeline handles the extraction of your model's answers and applies both strict formatting checks (for numbers, dates, and units) and relaxed text matching (ANLS) for text-based answers.
 You can find the complete, ready-to-use evaluation script in our official GitHub repository:
 👉 **[VLR-CVC/DocVQA2026 GitHub Repository](https://github.com/VLR-CVC/DocVQA2026)**