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README.md

@@ -1,22 +1,51 @@
 ---
-dataset_info:
-  features:
-  - name: audio
-    dtype:
-      audio:
-        sampling_rate: 16000
-        decode: false
-  - name: sentence
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 61671465.0
-    num_examples: 93
-  download_size: 42862588
-  dataset_size: 61671465.0
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
+language:
+- ne
+- en
+task_categories:
+- automatic-speech-recognition
+tags:
+- whisper
+- nepali
+- speech
+- audio
+license: cc-by-4.0
 ---
+
+# Nepali Speech Dataset for Whisper
+
+Nepali audio recordings with English translations.
+
+## Dataset Info
+- **Total samples:** 93
+- **Audio format:** WAV, 16kHz
+- **Source language:** Nepali (ne)
+- **Target language:** English (en)
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+# Load dataset
+dataset = load_dataset("lilgoose777/nepali-english-speech-data")
+
+# Access data
+sample = dataset['train'][0]
+print(sample['sentence'])  # English translation
+print(sample['audio'])  # Audio data
+```
+
+## Fine-tuning Whisper
+
+```python
+from transformers import WhisperProcessor, WhisperForConditionalGeneration
+
+processor = WhisperProcessor.from_pretrained("openai/whisper-small")
+model = WhisperForConditionalGeneration.from_pretrained("openai/whisper-small")
+
+# Fine-tune on this dataset
+```
+
+## License
+CC-BY-4.0