Add README

README.md

@@ -1,25 +1,73 @@
 ---
-dataset_info:
-  features:
-  - name: index
-    dtype: int64
-  - name: text
-    dtype: string
-  - name: audio
-    dtype:
-      audio:
-        sampling_rate: 16000
-  - name: source_dataset
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 1323398600.9
-    num_examples: 10534
-  download_size: 1274826031
-  dataset_size: 1323398600.9
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
+license: mit
+language:
+- ur
+tags:
+- tts
+- urdu
+- speech-synthesis
+- audio
+task_categories:
+- text-to-speech
+size_categories:
+- 10K<n<100K
 ---
+
+# XCollab/urdu-tts-fast
+
+## Dataset Description
+
+Combined Urdu Text-to-Speech dataset with **10,534 high-quality audio-text pairs**.
+
+## Dataset Structure
+
+```python
+{
+    'index': int,           # Sample index
+    'text': str,           # Urdu text transcription  
+    'audio': {             # Audio data
+        'path': str,        # Path to audio file
+        'sampling_rate': 16000
+    },
+    'source_dataset': str  # Original dataset name
+}
+```
+
+## Usage
+
+```python
+from datasets import load_dataset
+import soundfile as sf
+
+# Load dataset
+dataset = load_dataset("XCollab/urdu-tts-fast")
+
+# Get a sample
+sample = dataset['train'][0]
+print("Text:", sample['text'])
+print("Audio path:", sample['audio']['path'])
+
+# Save audio file
+sf.write("sample.wav", sample['audio']['array'], sample['audio']['sampling_rate'])
+
+# Play in notebook
+import IPython.display as ipd
+ipd.Audio(sample['audio']['array'], rate=sample['audio']['sampling_rate'])
+```
+
+## Audio Specifications
+- **Sampling Rate**: 16,000 Hz
+- **Format**: Float32 arrays
+- **Channels**: Mono
+- **Quality**: Normalized and validated
+
+## Statistics
+- **Total Samples**: 10,534
+- **Valid Samples**: 10,534
+- **Processing Errors**: 0
+
+## Source Datasets
+This dataset combines samples from multiple Urdu TTS datasets for improved coverage and quality.
+
+## License
+Please refer to individual dataset licenses for usage terms.