Datasets:

lilgoose777
/

tibetan-audio-english-6datasets-sample2

audio audioduration (s) 7.98 13.4	sentence stringclasses 5 values
	the great śrāvakas, bodhisattvas, gods, humans, demigods, and gandharvas were delighted and praised highly the words spoken by the Bhagavān.
	They perceived the Bodhisattva, who was in the womb of his mother, in the form of a child who has already taken birth, extending his hand and moving it in various positions.
	Didn't Lhak say, 'While breathing out, the wolf must return the horse'? If the wolf doesn't return the horse, it's said that the one who has no life left has already passed away.
	It is necessary to firmly establish a solid foundation for the overall society of China, as has been repeatedly emphasized.
	It is advised not to encourage mixing together indiscriminately, but rather, different groups of people should cooperate and work together on common ground, and strive to further develop and expand what is shared in common.

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:

lilgoose777/tibetan-speech-english-text-dataset (3,921 samples)
lilgoose777/merged-tibetan-titung-goose (5,188 samples)
Titung/tibetan-to-english-audio-dataset (1,178 samples)
Dataset 4 (294 samples)
Dataset 5 (294 samples)
Dataset 6 (6,403 samples)

📋 Dataset Structure

{
    'audio': Audio(sampling_rate=16000),  # Tibetan speech audio
    'sentence': string                     # English translation
}

🚀 Usage

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.

Downloads last month: 10

Number of rows:

Total file size:

1.5 MB