{
  "citation": "@article{cohen_afshar_tapson_schaik_2017,\n    title={EMNIST: Extending MNIST to handwritten letters},\n    DOI={10.1109/ijcnn.2017.7966217},\n    journal={2017 International Joint Conference on Neural Networks (IJCNN)},\n    author={Cohen, Gregory and Afshar, Saeed and Tapson, Jonathan and Schaik, Andre Van},\n    year={2017}\n}",
  "configDescription": "EMNIST Balanced",
  "configName": "balanced",
  "description": "The EMNIST dataset is a set of handwritten character digits derived from the NIST Special Database 19 and converted to a 28x28 pixel image format and dataset structure that directly matches the MNIST dataset.\n\nNote: Like the original EMNIST data, images provided here are inverted horizontally and rotated 90 anti-clockwise. You can use `tf.transpose` within `ds.map` to convert the images to a human-friendlier format.",
  "downloadSize": "561753746",
  "fileFormat": "array_record",
  "location": {
    "urls": [
      "https://www.nist.gov/itl/products-and-services/emnist-dataset"
    ]
  },
  "moduleName": "tensorflow_datasets.image_classification.mnist",
  "name": "emnist",
  "releaseNotes": {
    "3.0.0": "New split API (https://tensorflow.org/datasets/splits)",
    "3.1.0": "Updated broken download URL"
  },
  "splits": [
    {
      "filepathTemplate": "{DATASET}-{SPLIT}.{FILEFORMAT}-{SHARD_X_OF_Y}",
      "name": "train",
      "numBytes": "50886106",
      "shardLengths": [
        "112800"
      ]
    },
    {
      "filepathTemplate": "{DATASET}-{SPLIT}.{FILEFORMAT}-{SHARD_X_OF_Y}",
      "name": "test",
      "numBytes": "8497150",
      "shardLengths": [
        "18800"
      ]
    }
  ],
  "supervisedKeys": {
    "tuple": {
      "items": [
        {
          "featureKey": "image"
        },
        {
          "featureKey": "label"
        }
      ]
    }
  },
  "version": "3.1.0"
}