---
license: apache-2.0
language:
- en
task_categories:
- visual-question-answering
pretty_name: DualXrayBench
size_categories:
- 1K<n<10K
tags:
- x-ray
- dual-view
- security-screening
- spatial-reasoning
---

# DualXrayBench

DualXrayBench is the 1,594-example, eight-task evaluation split accompanying the GSR work on dual-view X-ray reasoning. Each record pairs a top-view and side-view image with one multiple-choice question, its reference answer, task metadata, and reference target-instance boxes.

## Files

- `annotations/benchmark.jsonl`: stable public records with `task_id`, `task_name`, and relative top/side image paths.
- `annotations/dual-xray-benchmark.json`: unchanged paper-v1 canonical compatibility file.
- `annotations/tasks/*.jsonl`: the same stable records partitioned by task.
- `images/top` and `images/side`: exactly 1,594 paired JPEG images in each view.
- `tasks.json`, `schema.json`, and `evaluation_protocol.md`: task definitions, record schema, and scoring guidance.

The record order is the frozen canonical paper-v1 order. Image paths are relative to this repository. The benchmark image IDs have zero overlap with the GSXray training image IDs used for this release.

## Loading

```python
import json

with open("annotations/benchmark.jsonl", encoding="utf-8") as handle:
    records = [json.loads(line) for line in handle]

first = records[0]
print(first["images"]["top"], first["images"]["side"], first["task_id"])
```

See `evaluation_protocol.md` before reporting results. Do not train or tune on benchmark answers.

## License and attribution

This release is distributed under the Apache License 2.0 under the project's confirmed redistribution basis. It is derived from the LDXray dual-view X-ray dataset and includes GSR benchmark annotations and packaging. See `LICENSE` and `NOTICE`.

## Citation

```bibtex
@inproceedings{peng2026secondview,
  title={Can a Second-View Image Be a Language? Geometric and Semantic Cross-Modal Reasoning for X-ray Prohibited Item Detection},
  author={Peng, Chuang and Tao, Renshuai and Ren, Zhongwei and Liu, Xianglong and Wei, Yunchao},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year={2026}
}

@inproceedings{tao2025dualview,
  title={Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images Like Humans?},
  author={Tao, Renshuai and Wang, Haoyu and Guo, Yuzhe and Chen, Hairong and Zhang, Li and Liu, Xianglong and Wei, Yunchao and Zhao, Yao},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={10338--10347},
  year={2025}
}
```