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[Errno 39] Directory not empty: '/storage/hf-datasets-cache/medium/datasets/49259386515847-config-parquet-and-info-Cuplex-autotrain-data-ima-a7b17c98/Cuplex___autotrain-data-image-classification/default/0.0.0/455765ace1fb883dda7bd219ab69fefe839fb492.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
null |
---|---|---|---|---|---|---|---|
[
{
"filename": "dataset.arrow"
}
] | 4e1d3d8e7b207385 | [
"image",
"target"
] | {} | null | {} | false | null |
AutoTrain Dataset for project: image-classification
Dataset Description
This dataset has been automatically processed by AutoTrain for project image-classification.
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": "<500x333 RGB PIL image>",
"target": 0
},
{
"image": "<320x240 RGB PIL image>",
"target": 4
}
]
Dataset Fields
The dataset has the following fields (also called "features"):
{
"image": "Image(decode=True, id=None)",
"target": "ClassLabel(num_classes=5, names=['daisy', 'dandelion', 'roses', 'sunflowers', 'tulips'], 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 | 160 |
valid | 40 |
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