Upload BNCI2014_001 RawDataset

README.md

@@ -20,7 +20,7 @@ This dataset was created using [braindecode](https://braindecode.org), a library
 | Number of channels | 26 |
 | Sampling frequency | 250 Hz |
 | Number of windows / samples | 96735 |
-| Total size | 19.23 MB |
+| Total size | 19.22 MB |
 | Storage format | zarr |
 
 ## Usage
@@ -32,7 +32,7 @@ To load this dataset::
         from braindecode.datasets import BaseConcatDataset
 
         # Load dataset from Hugging Face Hub
-        dataset = BaseConcatDataset.from_pretrained("username/dataset-name")
+        dataset = BaseConcatDataset.pull_from_hub("username/dataset-name")
 
         # Access data
         X, y, metainfo = dataset[0]

dataset.zarr/.zattrs

@@ -5,6 +5,6 @@
     "n_datasets": 1,
     "numpy_version": "1.26.4",
     "pandas_version": "2.3.3",
-    "scipy_version": "1.15.3",
-    "zarr_version": "2.18.3"
+    "scipy_version": "1.16.3",
+    "zarr_version": "2.18.7"
 }

dataset.zarr/recording_0/data/0.0

@@ -1,3 +1,3 @@
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 size 772956

dataset.zarr/recording_0/data/0.1

@@ -1,3 +1,3 @@
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dataset.zarr/recording_0/data/0.3

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dataset.zarr/recording_0/data/0.4

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 size 778745

dataset.zarr/recording_0/data/0.5

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dataset.zarr/recording_0/data/0.6

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dataset.zarr/recording_0/data/0.8

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dataset.zarr/recording_0/data/0.9

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 size 527352

format_info.json

@@ -5,5 +5,5 @@
   "braindecode_version": "1.3.0",
   "n_recordings": 1,
   "total_samples": 96735,
-  "total_size_mb": 19.23
+  "total_size_mb": 19.22
 }