facebook/HoneyBee

HoneyBee是一个大规模高质量的链式思维推理数据集，包含大约2.5M个示例，由350K个图像-问题对组成。该数据集旨在通过特定的数据构建方法来提高视觉语言模型在推理任务上的性能。数据集包括来自不同来源的问题和链式思维，以及图像。训练后，使用HoneyBee的模型在多种任务上均超越了现有最佳模型。HoneyBee is a large-scale high-quality CoT reasoning dataset with 2.5M examples consisting of 350K image-question pairs. The dataset is designed to improve the performance of vision-language models on reasoning tasks through specific data curation approaches. It includes questions and CoTs from different sources, as well as images. Models trained with HoneyBee outperform existing state-of-the-art models on a variety of tasks.