Upload BNCI2014_001 EEGWindowsDataset (continuous)

README.md

@@ -21,6 +21,7 @@ learning library for EEG/MEG/ECoG signals.
 | Type | Windowed (from Raw object) |
 | Channels | 26 |
 | Sampling frequency | 250 Hz |
+| Total duration | 0:06:26 |
 | Windows/samples | 48 |
 | Size | 19.22 MB |
 | Format | zarr |
@@ -96,13 +97,6 @@ if hasattr(dataset.datasets[0], "bids_channels"):
     print(dataset.datasets[0].bids_channels)
 ```
 
-## Why Zarr?
-
-Zarr format provides:
-- **Fast random access** - Critical for efficient DataLoader sampling
-- **Compression** - Reduced storage with minimal read overhead
-- **Cloud-native** - Works with remote storage (S3, GCS, etc.)
-
 ---
 
 *Created with [braindecode](https://braindecode.org)*