Dataset info object for Cifar10Corrupted

dataset_info.json

{
  "citation": "@inproceedings{\n  hendrycks2018benchmarking,\n  title={Benchmarking Neural Network Robustness to Common Corruptions and Perturbations},\n  author={Dan Hendrycks and Thomas Dietterich},\n  booktitle={International Conference on Learning Representations},\n  year={2019},\n  url={https://openreview.net/forum?id=HJz6tiCqYm},\n}\n", 
  "description": "Cifar10Corrupted is a dataset generated by adding 15 common corruptions + 4\nextra corruptions to the test images in the Cifar10 dataset. This dataset wraps\nthe corrupted Cifar10 test images uploaded by the original authors.\n", 
  "location": {
    "urls": [
      "https://github.com/hendrycks/robustness"
    ]
  }, 
  "name": "cifar10_corrupted", 
  "schema": {
    "feature": [
      {
        "name": "image", 
        "shape": {
          "dim": [
            {
              "size": "32"
            }, 
            {
              "size": "32"
            }, 
            {
              "size": "3"
            }
          ]
        }, 
        "type": "INT"
      }, 
      {
        "name": "label", 
        "type": "INT"
      }
    ]
  }, 
  "sizeInBytes": "2918471680", 
  "splits": [
    {
      "name": "test", 
      "numShards": "1", 
      "statistics": {
        "features": [
          {
            "name": "image", 
            "numStats": {
              "commonStats": {
                "numNonMissing": "10000"
              }, 
              "max": 255.0
            }
          }, 
          {
            "name": "label", 
            "numStats": {
              "commonStats": {
                "numNonMissing": "10000"
              }, 
              "max": 9.0
            }
          }
        ], 
        "numExamples": "10000"
      }
    }
  ], 
  "supervisedKeys": {
    "input": "image", 
    "output": "label"
  }, 
  "version": "0.0.1"
}