Update README

README.md

@@ -14,7 +14,7 @@ dataset_info:
     dtype: string
   splits:
   - name: train
-    num_examples: 1940
+    num_examples: 2099
 task_categories:
 - automatic-speech-recognition
 - text-to-speech
@@ -30,8 +30,8 @@ Audio dataset with transcriptions for voice training.
 
 ## Latest Upload: task_1770352558371
 
-- **Samples**: 1940
-- **Parquet files**: 4
+- **Samples**: 2099
+- **Parquet files**: 5
 - **ZIP file**: `task_1770352558371/dataset_audio.zip`
 - **Metadata**: `task_1770352558371/metadata.json`
 
@@ -40,8 +40,8 @@ Audio dataset with transcriptions for voice training.
 Files are organized by task ID:
 ```
 task_1770352558371/
-├── train-00000-of-00004.parquet
-├── train-00001-of-00004.parquet
+├── train-00000-of-00005.parquet
+├── train-00001-of-00005.parquet
 ├── ...
 ├── dataset_audio.zip
 └── metadata.json
@@ -86,8 +86,8 @@ audio_array, sr = sf.read(io.BytesIO(audio_bytes))
 
 ## Stats
 
-- **Total samples**: 1940
-- **Parquet files**: 4
+- **Total samples**: 2099
+- **Parquet files**: 5
 - **Format**: WAV (binary bytes)
 
 Created with automated pipeline: Whisper → YAMNet → BS-RoFormer