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from typing import Tuple |
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import numpy as np |
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import torch |
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import datasets |
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class SlideFeaturesDataset(torch.utils.data.Dataset): |
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"""Slide features dataset.""" |
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def __init__(self, *args, **kwargs): |
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self.hf_dataset = datasets.load_dataset(*args, **kwargs).with_format("torch") |
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self.features = self.hf_dataset["features"] |
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self.labels = self.hf_dataset["label"] |
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def __getitem__(self, item: np.int64) -> Tuple[torch.Tensor, torch.Tensor]: |
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""" |
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Parameters |
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---------- |
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item: np.int64 |
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Index of item, will be converted to int. |
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Returns |
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------- |
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Tuple[torch.Tensor, torch.Tensor] |
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(1000, 768), (1) |
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""" |
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return (self.features[item], self.labels[item].unsqueeze(0).float()) |
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def __len__(self) -> int: |
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return len(self.hf_dataset) |
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