llm-jp/JSSODa

JSSODa（日本简单合成OCR数据集）是一个通过将大型语言模型生成的日语文本渲染成图像而构建的数据集。图像中包含垂直和水平书写的文本，这些文本被组织成1到4列。该数据集旨在用于评估多模态大语言模型在垂直书写日语文本上的性能，并可用于模型微调和评估。数据集包括训练集和验证集，特征包括图像、问题、文本、是否垂直书写以及列数等。

JSSODa (Japanese Simple Synthetic OCR Dataset) 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 for evaluating multimodal large language models on vertically written Japanese text and can be used for both model fine-tuning and evaluation. It includes train and validation splits with features such as image, question, text, is_vertical, and num_columns.