{"autoevaluate--mnist-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": "",
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            "decode": true,
            "id": null,
            "_type": "Image"
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            "id": null,
            "_type": "ClassLabel"
        }
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    "supervised_keys": {
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        "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,
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        "patch": 0
    },
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            "num_examples": 100,
            "dataset_name": "mnist-sample"
        }
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    "download_checksums": null,
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    "post_processing_size": null,
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}}