Upload BNCI2014_001 WindowsDataset (epoched)

README.md

@@ -4,6 +4,7 @@ tags:
 - eeg
 - neuroscience
 - brain-computer-interface
+- bids
 license: unknown
 ---
 
@@ -22,6 +23,7 @@ This dataset was created using [braindecode](https://braindecode.org), a library
 | Number of windows / samples | 48 |
 | Total size | 0.03 MB |
 | Storage format | zarr |
+| BIDS compatible | Yes |
 
 ## Usage
 
@@ -61,6 +63,41 @@ To load this dataset::
         # metainfo shape: [batch_size, 2] (start and end indices)
         # Process your batch...
 
+## BIDS-like Structure
+
+This dataset follows a BIDS derivatives-like structure for compatibility with
+neuroimaging tools while maintaining efficiency for deep learning:
+
+```
+derivatives/braindecode/
+├── dataset_description.json    # BIDS dataset description
+├── participants.tsv            # Subject-level metadata
+├── dataset.zarr/               # Main data (optimized for training)
+└── sub-<label>/
+    └── eeg/
+        ├── *_events.tsv        # Trial/window events
+        ├── *_channels.tsv      # Channel information
+        └── *_eeg.json          # Recording metadata
+```
+
+### Accessing BIDS Metadata
+
+After loading the dataset, BIDS metadata is available:
+
+```python
+# Access participants info
+if hasattr(dataset, "participants"):
+    print(dataset.participants)
+
+# Access events for a recording
+if hasattr(dataset.datasets[0], "bids_events"):
+    print(dataset.datasets[0].bids_events)
+
+# Access channel info
+if hasattr(dataset.datasets[0], "bids_channels"):
+    print(dataset.datasets[0].bids_channels)
+```
+
 ## Dataset Format
 
 This dataset is stored in **Zarr** format, optimized for:

derivatives/braindecode/dataset.zarr/recording_0/data/zarr.json

@@ -0,0 +1,44 @@
+{
+  "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": "zstd",
+      "configuration": {
+        "level": 5,
+        "checksum": false
+      }
+    }
+  ],
+  "attributes": {},
+  "zarr_format": 3,
+  "node_type": "array",
+  "storage_transformers": []
+}