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README.md

@@ -1,10 +1,15 @@
 ---
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: "data/train-*.parquet"
+  default: true
 language:
 - ha
 license: mit
 task_categories:
 - text-to-speech
-- automatic-speech-recognition
 size_categories:
 - 1K<n<10K
 tags:
@@ -12,6 +17,7 @@ tags:
 - tts
 - speech
 - audio
+- multi-speaker
 pretty_name: Hausa TTS Dataset
 ---
 
@@ -55,15 +61,22 @@ Each example contains:
 ### Basic Loading
 
 ```python
-from datasets import load_dataset
+from datasets import load_dataset, Audio
 
+# Load dataset
 dataset = load_dataset("Aybee5/HausaTTSEmbed", split="train")
+
+# IMPORTANT: Cast audio column to Audio type to enable audio loading
+dataset = dataset.cast_column("audio", Audio(sampling_rate=22050))
+
 print(f"Loaded {len(dataset)} samples")
 
 # Access first sample
 sample = dataset[0]
 print(f"Text: {sample['text']}")
+print(f"Speaker: {sample['speaker_id']}")
 print(f"Audio shape: {sample['audio']['array'].shape}")
+print(f"Sample rate: {sample['audio']['sampling_rate']}")
 ```
 
 ### For Unsloth TTS Training