gberseth/vqav2-small-64px

这是一个包含图像和文本的数据集，主要用于训练机器学习模型来回答基于图像的问题。数据集由三个主要特征组成：图像（image）、问题（question）以及多选答案（multiple_choice_answer）。图像特征包含一系列的像素数据，问题特征是一个字符串，描述了与图像相关的问题，多选答案特征则提供了针对问题的多个选项中的一个正确答案。数据集被划分为训练集，共包含100个示例。

This dataset consists of images and text, primarily used for training machine learning models to answer questions based on images. The dataset is composed of three main features: an image (image), a question (question), and a multiple choice answer (multiple_choice_answer). The image feature contains a series of pixel data, the question feature is a string describing a question related to the image, and the multiple choice answer feature provides one correct option out of several for the question. The dataset is split into a training set, which contains 100 examples.