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@@ -169,11 +169,11 @@
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  </p>
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  <ul>
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  <li>
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- <strong>Training:</strong> 79 h of MSA speech (Qur’anic recitations)
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  <code>load_dataset("IqraEval/Iqra_train", split="train")</code>
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  </li>
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  <li>
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- <strong>Development:</strong> 3.4 h for tuning
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  <code>load_dataset("IqraEval/Iqra_train", split="dev")</code>
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  </li>
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  </ul>
@@ -181,10 +181,10 @@
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  <strong>Columns:</strong>
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  <ul>
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  <li><code>audio</code>: waveform</li>
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- <li><code>sentence</code>: original text</li>
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- <li><code>index</code>: verse ID or –1</li>
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- <li><code>tashkeel_sentence</code>: fully diacritized</li>
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- <li><code>phoneme</code>: Nawar Halabi phonetizer output</li>
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  </ul>
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  </p>
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@@ -194,7 +194,7 @@
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  <code>load_dataset("IqraEval/Iqra_TTS")</code>
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  </p>
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- <h2>Test Dataset: QuranMB_v2</h2>
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  <p>
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  98 verses × 18 speakers ≈ 2 h, with deliberate errors and human annotations.
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  <code>load_dataset("IqraEval/Iqra_QuranMB_v2")</code>
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  <li><a href="https://huggingface.co/datasets/IqraEval/Iqra_TTS" target="_blank">TTS Data (Hugging Face)</a></li>
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  <li><a href="https://github.com/Iqra-Eval/interspeech_IqraEval" target="_blank">Baseline Systems & Scripts (GitHub)</a></li>
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  </ul>
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- <p><em>See the main <a href="https://github.com/Iqra-Eval" target="_blank">GitHub</a> for full instructions.</em></p>
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  <h2>Submission Details (Draft)</h2>
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  <p>
@@ -277,6 +276,22 @@ ID,Labels
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  Registration opens on June 10, 2025.
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  </p>
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  <h2>Contact and Support</h2>
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  <p>
 
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  </p>
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  <ul>
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  <li>
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+ <strong>Training:</strong> 79 hours of MSA speech augmented with Qur’anic recitations
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  <code>load_dataset("IqraEval/Iqra_train", split="train")</code>
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  </li>
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  <li>
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+ <strong>Development:</strong> 3.4 hours as dev set
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  <code>load_dataset("IqraEval/Iqra_train", split="dev")</code>
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  </li>
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  </ul>
 
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  <strong>Columns:</strong>
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  <ul>
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  <li><code>audio</code>: waveform</li>
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+ <li><code>sentence</code>: original text (verse)</li>
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+ <li><code>index</code>: verse ID</li>
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+ <li><code>tashkeel_sentence</code>: fully diacritized text (verse)</li>
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+ <li><code>phoneme</code>: phoneme sequence (using phonetizer)</li>
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  </ul>
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  </p>
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  <code>load_dataset("IqraEval/Iqra_TTS")</code>
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  </p>
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+ <h2>Test Dataset: QuranMB.v2</h2>
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  <p>
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  98 verses × 18 speakers ≈ 2 h, with deliberate errors and human annotations.
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  <code>load_dataset("IqraEval/Iqra_QuranMB_v2")</code>
 
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  <li><a href="https://huggingface.co/datasets/IqraEval/Iqra_TTS" target="_blank">TTS Data (Hugging Face)</a></li>
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  <li><a href="https://github.com/Iqra-Eval/interspeech_IqraEval" target="_blank">Baseline Systems & Scripts (GitHub)</a></li>
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  </ul>
 
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  <h2>Submission Details (Draft)</h2>
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  <p>
 
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  Registration opens on June 10, 2025.
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  </p>
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+ <h2>Registration</h2>
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+ <p>
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+ Teams and individual participants must register to gain access to the test set. Please complete the registration form using the link below:
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+ </p>
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+ <p>
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+ <a href="https://docs.google.com/forms/d/e/1FAIpQLSf8qVKV1C9JVY7gUloQRLX8iMBUaZNFtYHBcqG6obJU0JauGw/viewform" target="_blank">Registration Form</a>
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+ </p>
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+ <p>
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+ Registration opens on June 10, 2025.
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+ </p>
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+
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+ <h2>Future Updates</h2>
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+ <p>
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+ Further details on the openset leaderboard submission will be posted on the shared task website (June 15, 2025). Stay tuned!
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+ </p>
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+
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  <h2>Contact and Support</h2>
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  <p>