README.md

metadata

license: mit
task_categories:
  - text-generation
language:
  - zh
  - en

StickerQueries 🧷🗨️

StickerQueries is a multilingual dataset for sticker query generation and retrieval. It features human-annotated query-sticker pairs that capture the expressive, emotional, and cultural semantics embedded in stickers.

Dataset Structure

• stickers_queries_zh_released.csv: Chinese sticker annotations.
• stickers_queries_en_released.csv: English sticker annotations.
• stickers/: Sticker images in .gif, .png, or .webm formats.

Each row in the CSV files includes:

• sticker_id: The file path to the corresponding sticker image.
• labeled_queries: A comma-separated list of sticker queries representing the intended emotion, tone, or expression.

Annotation Process

• Each annotation was reviewed by at least two people.
• In total, 42 English and 18 Chinese annotators contributed, with over 60 hours spent ensuring high-quality and diverse expressions.

Looking for a sticker query generator?

• 🈶 Chinese Model: Sticker Query Generator ZH
• 🇬🇧 English Model: Sticker Query Generator EN

Large-scale Sticker Dataset

Explore the broader dataset: U-Sticker

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Citation

If you use StickerQueries in your work, please cite us as:

@misc{chee2025smallstickersbigmeanings,
      title={Small Stickers, Big Meanings: A Multilingual Sticker Semantic Understanding Dataset with a Gamified Approach}, 
      author={Heng Er Metilda Chee and Jiayin Wang and Zhiqiang Guo and Weizhi Ma and Min Zhang},
      year={2025},
      eprint={2506.01668},
      archivePrefix={arXiv},
      primaryClass={cs.MM},
      url={https://arxiv.org/abs/2506.01668}, 
}