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README.md
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---
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license: apache-2.0
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task_categories:
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- visual-question-answering
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language:
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- en
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tags:
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- vision
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- question-answering
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- multimodal
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size_categories:
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- 1K<n<10K
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---
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# RealXBench
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RealXBench is a comprehensive visual question answering benchmark dataset containing 194 high-quality image-question-answer triplets.
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## Dataset Structure
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Each example contains:
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- **query**: The question about the image (in English)
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- **answer**: The ground truth answer(s), with multiple answers separated by "or"
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- **image**: The corresponding image file
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## Usage
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```python
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from datasets import load_dataset
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dataset = load_dataset("glowol/RealXBench")
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```
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## Citation
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If you use this dataset, please cite:
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```bibtex
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@dataset{realxbench2024,
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title={RealXBench: A Real-World Visual Question Answering Benchmark},
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author={},
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year={2024},
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}
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```
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