SLLM-multi-hop/LanguageQA
Dataset Card for SAKURA-LanguageQA This dataset contains the audio and the single/multi-hop questions/answers of the language track of the SAKURA benchmark from Interspeech 2025 paper, "SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information". The fields of the dataset are: file: The filename of the audio files. audio: The audio recordings. attribute_label: The attribute labels (i.e., the language spoken in the speech) of the… See the full description on the dataset page: https://huggingface.co/datasets/SLLM-multi-hop/LanguageQA.
Dataset Card for SAKURA-LanguageQA
This dataset contains the audio and the single/multi-hop questions/answers of the language track of the SAKURA benchmark from Interspeech 2025 paper, "**SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information**".
The fields of the dataset are:
- file: The filename of the audio files.
- audio: The audio recordings.
- attribute_label: The attribute labels (i.e., the language spoken in the speech) of the audio files.
- single_instruction: The questions (instructions) of the single-hop questions.
- single_answer: The answer to the single-hop questions.
- multi_instruction: The questions (instructions) of the multi-hop questions.
- multi_answer: The answer to the multi-hop questions.
If you find this dataset helpful for you, please kindly consider to cite our paper via:
@article{
sakura,
title={SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information},
author={Yang, Chih-Kai and Ho, Neo and Piao, Yen-Ting and Lee, Hung-yi},
journal={Interspeech 2025},
year={2025}
}