README.md

---
configs:
- config_name: default
  data_files:
  - split: test
    path: data/test-*
dataset_info:
  features:
  - name: file
    dtype: string
  - name: audio
    dtype: audio
  - name: attribute_label
    dtype: string
  - name: single_instruction
    dtype: string
  - name: single_answer
    dtype: string
  - name: multi_instruction
    dtype: string
  - name: multi_answer
    dtype: string
  splits:
  - name: test
    num_bytes: 49279816.0
    num_examples: 500
  download_size: 48973639
  dataset_size: 49279816.0
---
# Dataset Card for SAKURA-EmotionQA
This dataset contains the audio and the single/multi-hop questions/answers of the emotion 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**](https://arxiv.org/abs/2505.13237)".

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 emotion of the speakers) 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}
}
```