Developing alternative text using neural networks for image generation: learning outcomes dataset

The dataset contains the results of training future web developers on how to develop alt text for images. The study was carried out in April-May 2023. The Kandinsky 2.1 neural network (https://fusionbrain.ai/diffusion) was used to evaluate the image quality. 17 students prepared alt texts for three photos. The results were evaluated before and after using the neural network. The data set is presented in a Microsoft Excel table on the Alt_Text_Result sheet with the following fields: record number; participant number; photo number; photo alt text; number of characters in alt text; quality assessment of alt text; links to generated images; degree of similarity between generated images and original photos. The original photos are placed on the Alt_Text_Photos sheet. Alternative descriptions are presented in Russian.

本数据集收录了面向未来网页开发者开展的图像替代文本（alt text）撰写训练相关的实验结果。本研究于2023年4月至5月期间开展。实验使用Kandinsky 2.1神经网络（https://fusionbrain.ai/diffusion）完成图像质量评估。共有17名学生为三张照片撰写替代文本，研究评估了使用该神经网络前后的实验结果。本数据集以Microsoft Excel表格形式存储，其中Alt_Text_Result工作表包含以下字段：记录编号、参与者编号、照片编号、照片替代文本、替代文本字符数、替代文本质量评分、生成图像链接、生成图像与原始照片的相似度。原始照片存储于Alt_Text_Photos工作表中。所有替代描述均采用俄语撰写。