---
language:
- bo
- en
multilinguality:
- translation
size_categories:
- n<1K
task_categories:
- automatic-speech-recognition
- translation
- text-to-speech
pretty_name: Tibetan Audio-English Sentence Dataset (Sample)
tags:
- tibetan
- audio
- speech
- translation
- sample
dataset_info:
  features:
  - name: audio
    dtype:
      audio:
        sampling_rate: 16000
  - name: sentence
    dtype: string
  splits:
  - name: train
    num_bytes: 1542386.0
    num_examples: 5
  download_size: 1494412
  dataset_size: 1542386.0
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---

# Tibetan Audio-English Sentence Dataset (Sample)

This is a **sample dataset** containing 5 rows from a merged collection of 6 Tibetan audio datasets with English translations.

## 📊 Dataset Details

- **Total Samples in Full Dataset**: 17,278
- **Samples in This Preview**: 5
- **Format**: Audio + English sentence pairs
- **Audio Sampling Rate**: 16,000 Hz
- **Languages**: Tibetan (audio) → English (text)

## 🗂️ Source Datasets

This sample is merged from 6 datasets:
1. `lilgoose777/tibetan-speech-english-text-dataset` (3,921 samples)
2. `lilgoose777/merged-tibetan-titung-goose` (5,188 samples)
3. `Titung/tibetan-to-english-audio-dataset` (1,178 samples)
4. Dataset 4 (294 samples)
5. Dataset 5 (294 samples)
6. Dataset 6 (6,403 samples)

## 📋 Dataset Structure
```python
{
    'audio': Audio(sampling_rate=16000),  # Tibetan speech audio
    'sentence': string                     # English translation
}
```

## 🚀 Usage
```python
from datasets import load_dataset

# Load the sample dataset
dataset = load_dataset("lilgoose777/tibetan-audio-english-6datasets-sample")

# Access first sample
sample = dataset['train'][0]
audio = sample['audio']
sentence = sample['sentence']

print(f"Sentence: {sentence}")
print(f"Audio array shape: {audio['array'].shape}")
print(f"Sampling rate: {audio['sampling_rate']}")
```

## 💡 Purpose

This is a **preview/test dataset** to verify:
- Dataset structure and format
- Audio loading and decoding
- Data quality

For the **full dataset** with all 17,278 samples, please contact the dataset owner.

## 📝 License

Please refer to the original source datasets for licensing information.

## 🙏 Acknowledgments

Special thanks to the creators of the original datasets used in this merge.