Update constants.py

constants.py

@@ -22,7 +22,7 @@ EXPLANATION = """
 EXPLANATION_EDACC = """
     ## EdAcc: Evaluating ASR Models Across Global English Accents
     
-    The Edinburgh International Accents of English Corpus (EdAcc) features over 40 distinct English accents from both native (L1) and non-native (L2) speakers. This evaluation helps you:
+    The [Edinburgh International Accents of English Corpus (EdAcc)](https://huggingface.co/datasets/edinburghcstr/edacc) features over 40 distinct English accents from both native (L1) and non-native (L2) speakers. This evaluation helps you:
     
     * **Compare Gender Performance**: Analyze how models perform across male and female speakers
     * **Evaluate Regional Robustness**: Test model accuracy across European, Asian, African, and American accents
@@ -37,7 +37,7 @@ EXPLANATION_EDACC = """
 EXPLANATION_AFRI = """
     ## AfriSpeech: Testing ASR Robustness on African English Accents
     
-    The AfriSpeech Out-of-Distribution (OOD) test set features 20 distinct African English accents not present in common training data. This benchmark:
+    The [AfriSpeech](https://huggingface.co/datasets/intronhealth/afrispeech-200) Out-of-Distribution (OOD) test set features 20 distinct African English accents not present in common training data. This benchmark:
     
     * **Challenges Model Generalization**: Tests performance on truly underrepresented accents
     * **Reveals Robustness Gaps**: Highlights limitations in current ASR systems