| --- |
| license: apache-2.0 |
| language: |
| - en |
| task_categories: |
| - image-text-to-text |
| size_categories: |
| - 10K<n<100K |
| pretty_name: GSXray |
| --- |
| |
| # GSXray |
|
|
| GSXray is a 44,019-example supervised fine-tuning corpus for dual-view X-ray reasoning. Each record contains a paired top-view and side-view image plus a two-turn human/assistant conversation. The public paths are relative and ordered as top then side. |
|
|
| ## Files |
|
|
| - `annotations/sft_merged_44k.json`: LLaMA-Factory-compatible array preserving the original conversation text. |
| - `annotations/train.jsonl`: stable line-oriented records with `id`, `conversations`, and `images`. |
| - `data/train-NNNNN.tar`: deterministic uncompressed image shards. Members are `images/top/ID.jpg` and `images/side/ID.jpg`. |
|
|
| Extract every tar shard into the dataset root before consuming the annotation paths. There are exactly 44,019 unique IDs and 88,038 image members. |
|
|
| ## License and provenance |
|
|
| Released under Apache-2.0 under the confirmed redistribution basis recorded for this release. GSXray is derived from the LDXray dual-view X-ray dataset and adds GSR annotations, structured reasoning data, and release packaging. See `NOTICE` and `LICENSE`. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @inproceedings{peng2026gsr, |
| 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{tao2025ldxray, |
| 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} |
| } |
| ``` |
|
|
