Update README.md

README.md

@@ -6,8 +6,8 @@ It consolidates multiple open-source accent corpora, converts all audio to a uni
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 ## ✨ Key Features
-- **Accents covered (17 total):**  
-  american_english, british_english, indian_english, canadian_english, australian_english, scottish_english, irish_english, malayalam_english, non_native_english, bangla_english, telugu_english, new_zealand_english, northernirish, african_english, welsh_english, south_african_english, odiya_english  
+- **Accents covered (12 total):**  
+  american_english, british_english, indian_english, canadian_english, australian_english, scottish_english, irish_english, new_zealand_english, northernirish, african_english, welsh_english, south_african_english  
 - **Speaker-disjoint splits**: each speaker is assigned to exactly one split (train/validation/test).  
 - **Augmentation strategy**:  
   - < 2.6k samples → expanded to 5k via augmentation  
@@ -56,10 +56,11 @@ hf_export/
 | `aug_label`  | string   | Applied augmentation method (e.g., `pitch:+1.2`) |
 | `duration_s` | float32  | Duration in seconds |
 
+Note: for accents with over 10k samples, is_augmented is false even though there's augmentation for half of their size. Use random sampling for these accents.
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 ## 📊 Splitting Strategy
-- **Ratios**: 80% train, 10% validation, 10% test  
+- **Ratios**: 78% train, 11% validation, 11% test  
 - **Speaker-disjoint**: a speaker appears in only one split  
 - **Accent-aware**: splits preserve global accent proportions  
 - **Dataset balance**: allocator prefers splits underrepresented for a dataset