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[Errno 39] Directory not empty: '/storage/hf-datasets-cache/medium/datasets/35770673826018-config-parquet-and-info-freefire31-autotrain-data-b9843a0b/freefire31___autotrain-data-oveja31/default/0.0.0/53e379cb1f25191b32d37c43646edade37434e59.incomplete'
Error code:   UnexpectedError

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_data_files
list
_fingerprint
string
_format_columns
sequence
_format_kwargs
dict
_format_type
null
_indexes
dict
_output_all_columns
bool
_split
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[ { "filename": "dataset.arrow" } ]
718ab50033864824
[ "image", "target" ]
{}
null
{}
false
null

AutoTrain Dataset for project: oveja31

Dataset Description

This dataset has been automatically processed by AutoTrain for project oveja31.

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": "<1424x1424 RGB PIL image>",
    "target": 0
  },
  {
    "image": "<1627x1627 RGB PIL image>",
    "target": 0
  }
]

Dataset Fields

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

{
  "image": "Image(decode=True, id=None)",
  "target": "ClassLabel(num_classes=1, names=['oveja'], 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 4
valid 1
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