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[Errno 39] Directory not empty: '/storage/hf-datasets-cache/medium/datasets/72627323498494-config-parquet-and-info-Ana85baul-autotrain-data--723ef950/Ana85baul___autotrain-data-shapes/default/0.0.0/5b5a2cacbf80b444dc055eb9b47f63ebac4b1a4c.incomplete'
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_fingerprint
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_format_columns
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_format_kwargs
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bool
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[ { "filename": "dataset.arrow" } ]
6d5333b8d87a45d6
[ "image", "target" ]
{}
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{}
false
null

AutoTrain Dataset for project: shapes

Dataset Description

This dataset has been automatically processed by AutoTrain for project shapes.

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 RGB PIL image>",
    "target": 0
  },
  {
    "image": "<28x28 RGB PIL image>",
    "target": 2
  }
]

Dataset Fields

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

{
  "image": "Image(decode=True, id=None)",
  "target": "ClassLabel(num_classes=3, names=['circles', 'squares', 'triangles'], 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 240
valid 60
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