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@@ -146,24 +146,6 @@
           </ul>
                                                       
 
-        <h2>🔊 Task Description</h2>
-        <p>
-            The Iqra'Eval task focuses on <strong>automatic pronunciation assessment</strong> in Qur’anic context. 
-            Given a spoken audio clip of a verse and its fully vowelized reference text, your system should predict 
-            the <strong>correct phoneme sequence</strong> actually spoken by the reciter.
-        </p>
-        <p>
-            By comparing this predicted sequence to the reference text and the gold phoneme sequence annotation, we can automatically detect pronunciation issues, such as:
-        </p>
-        <ul>
-            <li><strong>Substitutions</strong>: e.g., saying /k/ instead of /q/</li>
-            <li><strong>Insertions</strong>: adding a sound not present in the reference</li>
-            <li><strong>Deletions</strong>: skipping a required phoneme</li>
-        </ul>
-        <p>
-            This task helps diagnose and localize pronunciation errors, enabling educational feedback in applications like Qur’anic tutoring or speech evaluation tools.
-        </p>
-
         <h2>Dataset Description</h2>
         <p>
             All data are hosted on Hugging Face. Two main splits are provided:
@@ -278,7 +260,7 @@ ID,Labels
             <ul>
                 <li>Use UTF-8 encoding.</li>
                 <li>Do not include extra spaces at the start or end of each line.</li>
-                <li>Submit a single CSV file (no archives). Filename must be <code>submission.csv</code>.</li>
+                <li>Submit a single CSV file (no archives). Filename must be <code>teamID_submission.csv</code>.</li>
             </ul>
         </p>