Zanim ('zero-shot animals') is a dataset specifically designed to benchmark few-shot and multi-modal image classification; each animal in the dataset has a succinct description of its appearance, and, as a result, it is desirable to create models that can leverage this information to improve few (or zero)-shot image-classification. 'data.gz' - contains all the images of the dataset including the file structure specified in the json 'am3.pth.tar' - a checkpointed version of the AM3 model used in our research 'fumi.pth.tar' - a checkpoint of the FuMI model used in our research 'cropped-images-integers.hdf5' - cropped and downscaled images (128x128) ideal for viewing in a notebook 'image-embedding-resnet-152.hdf5' - embeddings of each image in the dataset using a resnet-152 model 'zanim.json' - a json file containing the descriptions and additional information required for modelling