Datasets:

HAERAE-HUB
/

HAERAE-VISION

language:
  - ko
license: cc-by-4.0
task_categories:
  - visual-question-answering
  - question-answering
tags:
  - korean
  - vision-language
  - multimodal
  - vlm
  - under-specified
size_categories:
  - n<1K
dataset_info:
  features:
    - name: question_idx
      dtype: int64
    - name: source
      dtype: string
    - name: category
      dtype: string
    - name: images
      list: image
    - name: question_original
      dtype: string
    - name: question_explicit
      dtype: string
    - name: checklist
      list: string
  splits:
    - name: train
      num_bytes: 20050880
      num_examples: 165
  download_size: 19753676
  dataset_size: 20050880
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

HAERAE-VISION

A Korean visual QA benchmark featuring real-world, under-specified questions.

Dataset Description

This dataset includes two question types:

original: Under-specified, authentic user queries
explicit: Clarified queries with full context

Both share the same images and reference answers, allowing controlled evaluation of query under-specification.

Public Dataset Notice

This public release contains 25% of the full benchmark (165 items) for development and testing.

Note: The "health (건강)" category has been excluded from the public dataset due to potential risks associated with medical information.

Leaderboard Submission

To submit your model for official evaluation on the full test set:

Visit the HAERAE-VISION Leaderboard
Log in to your account
Click the Submit (제출하기) button
Follow the submission instructions

Evaluation Code

See our GitHub repository for evaluation scripts.

Citation

@misc{choi2026usersleaveunsaid,
      title={What Users Leave Unsaid: Under-Specified Queries Limit Vision-Language Models}, 
      author={Dasol Choi and Guijin Son and Hanwool Lee and Minhyuk Kim and Hyunwoo Ko and Teabin Lim and Ahn Eungyeol and Jungwhan Kim and Seunghyeok Hong and Youngsook Song},
      year={2026},
      eprint={2601.06165},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2601.06165}, 
}

Contact

For any questions about our project:

Dasol Choi (dasolchoi@yonsei.ac.kr)