five

llm-jp/JSSODa

收藏
Hugging Face2025-11-21 更新2026-02-07 收录
下载链接:
https://hf-mirror.com/datasets/llm-jp/JSSODa
下载链接
链接失效反馈
官方服务:
资源简介:
--- language: - ja license: cc-by-4.0 size_categories: - 10K<n<100K task_categories: - image-to-text tags: - ocr - japanese - vertical-text dataset_info: features: - name: id dtype: string - name: image dtype: image - name: question dtype: string - name: text dtype: string - name: is_vertical dtype: bool - name: num_columns dtype: int32 splits: - name: train num_bytes: 3571616337.47 num_examples: 17991 - name: validation num_bytes: 458109210.526 num_examples: 2246 download_size: 4020177617 dataset_size: 4029725547.996 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* --- # JSSODa (train) [Paper](https://arxiv.org/abs/2511.15059) | [Code](https://github.com/llm-jp/eval_vertical_ja) This repository contains the **train** and **validation** splits of the JSSODa dataset. ## Dataset details JSSODa (**J**apanese **S**imple **S**ynthetic **O**CR **Da**taset) is constructed by rendering Japanese text generated by an LLM into images. The images contain text written both vertically and horizontally, which is organized into one to four columns. This dataset was introduced in our paper: ["Evaluating Multimodal Large Language Models on Vertically Written Japanese Text"](https://arxiv.org/abs/2511.15059). The code used to generate this dataset is available at our GitHub repository: [https://github.com/llm-jp/eval_vertical_ja/tree/main/scripts](https://github.com/llm-jp/eval_vertical_ja/tree/main/scripts) ## License This dataset is released under [Creative Commons Attribution 4.0 License](https://creativecommons.org/licenses/by/4.0/legalcode). ## Citation ```bibtex @misc{sasagawa2025evaluatingmultimodallargelanguage, title={Evaluating Multimodal Large Language Models on Vertically Written Japanese Text}, author={Keito Sasagawa and Shuhei Kurita and Daisuke Kawahara}, year={2025}, eprint={2511.15059}, archivePrefix={arXiv}, primaryClass={cs.CV}, url={https://arxiv.org/abs/2511.15059}, } ```
提供机构:
llm-jp
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作