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README.md
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The [EEG Motor Movement/Imagery (MMI) Dataset](https://physionet.org/content/eegmmidb/1.0.0/) preprocessed with [DN3](https://github.com/SPOClab-ca/dn3/) to be used for downstream fine-tuning with [BENDR](https://github.com/SPOClab-ca/BENDR).
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The [EEG Motor Movement/Imagery (MMI) Dataset](https://physionet.org/content/eegmmidb/1.0.0/) preprocessed with [DN3](https://github.com/SPOClab-ca/dn3/) to be used for downstream fine-tuning with [BENDR](https://github.com/SPOClab-ca/BENDR).
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## Creating dataloaders
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```python
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from datasets import load_dataset
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from torch.utils.data import DataLoader
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dataset = load_dataset("rasgaard/mmi-bendr-preprocessed")
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dataset.set_format("torch")
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train_loader = DataLoader(dataset["train"], batch_size=8)
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val_loader = DataLoader(dataset["val"], batch_size=8)
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test_loader = DataLoader(dataset["test"], batch_size=8)
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batch = next(iter(train_loader))
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batch["data"].shape, batch["label"].shape
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>>> (torch.Size([8, 20, 1536]), torch.Size([8]))
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```
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