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Cannot get the split names for the dataset.
Error code:   SplitsNamesError
Exception:    ValueError
Message:      Couldn't infer the same data file format for all splits. Got {NamedSplit('train'): ('imagefolder', {}), NamedSplit('validation'): ('json', {})}
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/responses/splits.py", line 79, in get_splits_response
                  split_full_names = get_dataset_split_full_names(dataset, hf_token)
                File "/src/services/worker/src/worker/responses/splits.py", line 41, in get_dataset_split_full_names
                  for config in get_dataset_config_names(dataset, use_auth_token=hf_token)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 308, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1177, in dataset_module_factory
                  raise e1 from None
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1156, in dataset_module_factory
                  return HubDatasetModuleFactoryWithoutScript(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 773, in get_module
                  raise ValueError(f"Couldn't infer the same data file format for all splits. Got {module_names}")
              ValueError: Couldn't infer the same data file format for all splits. Got {NamedSplit('train'): ('imagefolder', {}), NamedSplit('validation'): ('json', {})}

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AutoTrain Dataset for project: image-classification-test-18

Dataset Descritpion

This dataset has been automatically processed by AutoTrain for project image-classification-test-18.

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": "<224x224 RGB PIL image>",
    "target": 2
  },
  {
    "image": "<224x224 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=['ADONIS', 'AFRICAN GIANT SWALLOWTAIL', 'AMERICAN SNOOT'], 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 269
valid 69
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