Datasets:
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README.md
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If you use this dataset, please cite the following paper:
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### Plain text
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Keisuke Imoto, Yamato Kojima, and Takao Tsuchiya, "Audio-Image Cross-Modal Retrieval with Onomatopoeic Images," arXiv:2605.17509, 2026.
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### BibTeX
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```bibtex
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@article{imoto2026audio,
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title={Audio-Image Cross-Modal Retrieval with Onomatopoeic Images},
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year={2026}
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}
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## Dataset Overview
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| Item | Description |
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| Dataset name | Multimodal Image-Audio Onomatopoeia Dataset |
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| Short name | MIAO |
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| Modalities | Audio, image |
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| Audio content | Non-speech sound events |
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| Souond event classes | 50 |
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| Sound sets | 12 |
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| Sound clips | 600 |
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| Illustrators | 18 |
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| Onomatopoeic images | 900 |
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| Modality |
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|---|---|---|---:|---:|
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| Audio | FSD50K CC0 clips |
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| Image |
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## Data
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### Audio
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The audio
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```text
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50 acoustic event classes × 12 sound sets = 600 sound clips
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If you use this dataset, please cite the following paper:
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Keisuke Imoto, Yamato Kojima, and Takao Tsuchiya, "Audio-Image Cross-Modal Retrieval with Onomatopoeic Images," arXiv:2605.17509, 2026.
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```bibtex
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@article{imoto2026audio,
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title={Audio-Image Cross-Modal Retrieval with Onomatopoeic Images},
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year={2026}
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}
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## Dataset Overview
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| Modality | # sound event classes | # per class | Items per class | Total |
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|---|---|---|---:|---:|
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| Audio | FSD50K (CC0 clips) | 50 | 12 clips | 600 clips |
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| Image | Original images | 50 | 18 images | 900 images |
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The audio clips are organized into 12 audio sets. Each audio set contains one clip for each sound event class.
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The images were created by 18 illustrators. Each illustrator created one onomatopoeic image for each sound event class after listening to the corresponding audio clip.
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## Data Sources and Creation
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### Audio
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The audio clips were selected from the **CC0-licensed subset of FSD50K**.
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### Images
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The onomatopoeic images were created by 18 illustrators recruited through the 99designs platform.
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Each illustrator listened to 50 sound event clips and created one onomatopoeic image for each sound event class.
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