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[Errno 39] Directory not empty: '/storage/hf-datasets-cache/medium/datasets/35358978525029-config-parquet-and-info-Efimov6886-autotrain-data-f54527ec/Efimov6886___autotrain-data-test_row2/default/0.0.0/eac3151081115101714032dbb9ef4d577b2d84b2.incomplete'
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_fingerprint
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_format_columns
sequence
_format_kwargs
dict
_format_type
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_indexes
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_output_all_columns
bool
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[ { "filename": "dataset.arrow" } ]
a3fcc0138543ab15
[ "image", "target" ]
{}
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false
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AutoTrain Dataset for project: test_row2

Dataset Description

This dataset has been automatically processed by AutoTrain for project test_row2.

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": "<316x316 RGB PIL image>",
    "target": 1
  },
  {
    "image": "<316x316 RGB PIL image>",
    "target": 3
  }
]

Dataset Fields

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

{
  "image": "Image(decode=True, id=None)",
  "target": "ClassLabel(num_classes=5, names=['animals', 'dance', 'food', 'sport', 'tech'], 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 392
valid 101
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Models trained or fine-tuned on Efimov6886/autotrain-data-test_row2