Upload BNCI2014_001 WindowsDataset (epoched)

README.md

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+---
+tags:
+- braindecode
+- eeg
+- neuroscience
+- brain-computer-interface
+license: unknown
+---
+
+# EEG Dataset
+
+This dataset was created using [braindecode](https://braindecode.org), a library for deep learning with EEG/MEG/ECoG signals.
+
+## Dataset Information
+
+| Property | Value |
+|---|---:|
+| Number of recordings | 1 |
+| Dataset type | Windowed (from Epochs object) |
+| Number of channels | 26 |
+| Sampling frequency | 250 Hz |
+| Number of windows / samples | 48 |
+| Total size | 0.03 MB |
+| Storage format | zarr |
+
+## Usage
+
+To load this dataset::
+
+    .. code-block:: python
+
+        from braindecode.datasets import BaseConcatDataset
+
+        # Load dataset from Hugging Face Hub
+        dataset = BaseConcatDataset.from_pretrained("username/dataset-name")
+
+        # Access data
+        X, y, metainfo = dataset[0]
+        # X: EEG data (n_channels, n_times)
+        # y: label/target
+        # metainfo: window indices
+
+## Using with PyTorch DataLoader
+
+::
+
+    from torch.utils.data import DataLoader
+
+    # Create DataLoader for training
+    train_loader = DataLoader(
+        dataset,
+        batch_size=32,
+        shuffle=True,
+        num_workers=4
+    )
+
+    # Training loop
+    for X, y, metainfo in train_loader:
+        # X shape: [batch_size, n_channels, n_times]
+        # y shape: [batch_size]
+        # metainfo shape: [batch_size, 2] (start and end indices)
+        # Process your batch...
+
+## Dataset Format
+
+This dataset is stored in **Zarr** format, optimized for:
+- Fast random access during training (critical for PyTorch DataLoader)
+- Efficient compression with blosc
+- Cloud-native storage compatibility
+
+For more information about braindecode, visit: https://braindecode.org

dataset.zarr/recording_0/data/zarr.json

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+{
+  "shape": [
+    48,
+    26,
+    1000
+  ],
+  "data_type": "float32",
+  "chunk_grid": {
+    "name": "regular",
+    "configuration": {
+      "chunk_shape": [
+        1,
+        26,
+        1000
+      ]
+    }
+  },
+  "chunk_key_encoding": {
+    "name": "default",
+    "configuration": {
+      "separator": "/"
+    }
+  },
+  "fill_value": 0.0,
+  "codecs": [
+    {
+      "name": "bytes",
+      "configuration": {
+        "endian": "little"
+      }
+    },
+    {
+      "name": "blosc",
+      "configuration": {
+        "typesize": 4,
+        "cname": "zstd",
+        "clevel": 5,
+        "shuffle": "shuffle",
+        "blocksize": 0
+      }
+    }
+  ],
+  "attributes": {},
+  "zarr_format": 3,
+  "node_type": "array",
+  "storage_transformers": []
+}