Hugging Face data download is here

data is uploaded in huggingface format and here we can download it and visualize it

dataset = load_dataset("hasangoni/Electron_microscopy_dataset")

Downloading and preparing dataset parquet/hasangoni--Electron_microscopy_dataset to /home/hasan/.cache/huggingface/datasets/hasangoni___parquet/hasangoni--Electron_microscopy_dataset-b8bc12bac50b90d4/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec...

Dataset parquet downloaded and prepared to /home/hasan/.cache/huggingface/datasets/hasangoni___parquet/hasangoni--Electron_microscopy_dataset-b8bc12bac50b90d4/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec. Subsequent calls will reuse this data.

dataset

DatasetDict({
    train: Dataset({
        features: ['image', 'label'],
        num_rows: 1642
    })
    test: Dataset({
        features: ['image', 'label'],
        num_rows: 1725
    })
})

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source

show_hf_dataset

 show_hf_dataset (dataset:datasets.arrow_dataset.Dataset,
                  idx:Optional[int]=None, split:str='train')

Show hugging face random index

show_hf_dataset(dataset)

 dataset index will be visualized: 300