neoneye/simon-arc-combine-v207

该数据集是一个用于图像到文本和文本到图像任务的组合数据集，主要包含多个子数据集，涉及颜色、旋转、平移、对称性等问题的解决。随着时间的推移，数据集不断更新，新增了多个子数据集，并调整了图像大小、随机种子等参数，以优化模型的训练效果。数据集的目标是帮助模型更好地理解和解决抽象推理问题。

This dataset is a combined dataset for image-to-text and text-to-image tasks, primarily consisting of multiple sub-datasets that address problems such as color, rotation, translation, and symmetry. Over time, the dataset has been continuously updated with the addition of new sub-datasets and adjustments to parameters such as image size and random seeds to optimize model training. The goal of the dataset is to help models better understand and solve abstract reasoning problems.