neoneye/simon-arc-solve-symmetry-v28

该数据集名为simons ARC（抽象与推理语料库）对称性解决版本28，主要用于处理对称图像的转换任务。数据集包含多个版本，每个版本在图像大小、对称类型、填充大小、图案大小等方面进行了调整和优化。任务类别包括图像到文本和文本到图像，语言为英语，数据规模在1K到10K之间。数据集的目标是通过生成和调整对称性任务，优化模型对图像对称性的理解和处理能力。

Simons ARC (abstraction & reasoning corpus) solve symmetry version 28 is a dataset focused on ARC-AGI tasks involving the transformation of symmetric images. The dataset includes multiple versions, each introducing new symmetry types and image transformations such as horizontal stacking, vertical stacking, and grid patterns. The goal of the dataset is to train models to understand and process the transformation of symmetric images, involving adjustments to image size, padding, wall thickness, and other parameters.