メタシフト

参考文献:

メタシフト

次のコマンドを使用して、このデータセットを TFDS にロードします。

ds = tfds.load('huggingface:metashift/metashift')
  • 説明：
The MetaShift is a dataset of datasets for evaluating distribution shifts and training conflicts.
The MetaShift dataset is a collection of 12,868 sets of natural images across 410 classes.
It was created for understanding the performance of a machine learning model across diverse data distributions.
スプリット例
'train' 86808
  • 特徴：
{
    "image_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "image": {
        "decode": true,
        "id": null,
        "_type": "Image"
    },
    "label": {
        "num_classes": 8,
        "names": [
            "cat",
            "dog",
            "bus",
            "truck",
            "elephant",
            "horse",
            "bowl",
            "cup"
        ],
        "id": null,
        "_type": "ClassLabel"
    },
    "context": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}