autotrain-data-processor
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metadata
task_categories:
  - image-classification

AutoTrain Dataset for project: mnist-analysis

Dataset Description

This dataset has been automatically processed by AutoTrain for project mnist-analysis.

Languages

The BCP-47 code for the dataset's language is unk.

Dataset Structure

Data Instances

A sample from this dataset looks as follows:

[
  {
    "image": "<28x28 L PIL image>",
    "target": 1
  },
  {
    "image": "<28x28 L PIL image>",
    "target": 0
  }
]

Dataset Fields

The dataset has the following fields (also called "features"):

{
  "image": "Image(decode=True, id=None)",
  "target": "ClassLabel(names=['0', '1', '2', '3', '4', '5', '6', '7', '8', '9'], id=None)"
}

Dataset Splits

This dataset is split into a train and validation split. The split sizes are as follow:

Split name Num samples
train 55996
valid 14004