{"nateraw--quickdraw-sample": {"description": "The MNIST dataset consists of 70,000 28x28 black-and-white images in 10 classes (one for each digits), with 7,000\nimages per class. There are 60,000 training images and 10,000 test images.\n", "citation": "@article{lecun2010mnist,\n  title={MNIST handwritten digit database},\n  author={LeCun, Yann and Cortes, Corinna and Burges, CJ},\n  journal={ATT Labs [Online]. Available: http://yann.lecun.com/exdb/mnist},\n  volume={2},\n  year={2010}\n}\n", "homepage": "http://yann.lecun.com/exdb/mnist/", "license": "", "features": {"image": {"decode": true, "id": null, "_type": "Image"}, "label": {"num_classes": 2, "names": ["alarm clock", "banana"], "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": {"input": "image", "output": "label"}, "task_templates": [{"task": "image-classification", "image_column": "image", "label_column": "label"}], "builder_name": "mnist", "config_name": "mnist", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 167457310.125, "num_examples": 431335, "dataset_name": "quickdraw-sample"}}, "download_checksums": null, "download_size": 147285549, "post_processing_size": null, "dataset_size": 167457310.125, "size_in_bytes": 314742859.125}}