Datasets:

glowol
/

RealXBench

license: apache-2.0
task_categories:
  - visual-question-answering
language:
  - en
tags:
  - vision
  - question-answering
  - multimodal
size_categories:
  - 1K<n<10K

RealXBench

RealXBench is a comprehensive visual question answering benchmark dataset containing 194 high-quality image-question-answer triplets.

Dataset Structure

Each example contains:

query: The question about the image (in English)
answer: The ground truth answer(s), with multiple answers separated by "or"
image: The corresponding image file

Usage

from datasets import load_dataset

dataset = load_dataset("glowol/RealXBench")

Citation

If you use this dataset, please cite:

@dataset{realxbench2024,
  title={RealXBench: A Real-World Visual Question Answering Benchmark},
  author={},
  year={2024},
}