typhoon-ai/typhoon-audio-preview-data
Typhoon Audio Preview Data Overview This dataset is for aligning speech/audio representations with textual representations. It consists of {audio, instruction, response} examples in both Thai and English. This repository provides {instruction, response} pairs that we generated for Typhoon-Audio training. We do not own the original data sources (e.g., CommonVoice, LibriSpeech, etc), and you can download these datasets from the original sources, or contact… See the full description on the dataset page: https://huggingface.co/datasets/typhoon-ai/typhoon-audio-preview-data.
357
Typhoon Audio Preview Data
Overview
- This dataset is for aligning speech/audio representations with textual representations. It consists of {audio, instruction, response} examples in both Thai and English. This repository provides {instruction, response} pairs that we generated for Typhoon-Audio training. We do not own the original data sources (e.g., CommonVoice, LibriSpeech, etc), and you can download these datasets from the original sources, or contact
{potsawee, kunat}@scb10x.com - Please refer to our technical report for more information about the dataset: https://arxiv.org/abs/2409.10999
Data Splits
- Pretrained: 1.8M examples consisting of ASR and Audio Captioning data
- SFT: 665K examples consisting of a range of audio tasks
Attributes
path: path to the local wav file -- please change the directory on your machine.instruction: text instruction (which can be null, i.e., the instruction is in the audio)response: target answer
Citation
If you find this work useful, please consider citing:
@article{manakul2024enhancing,
title={Enhancing low-resource language and instruction following capabilities of audio language models},
author={Manakul, Potsawee and Sun, Guangzhi and Sirichotedumrong, Warit and Tharnpipitchai, Kasima and Pipatanakul, Kunat},
journal={arXiv preprint arXiv:2409.10999},
year={2024}
}