Datasets:

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Card: snapshot_download examples name EEGDash/eeg-mi-datasets

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The mirror moved from bkowshik/eeg-mi-datasets to the EEGDash organisation; the old ID redirects here.

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  1. README.md +32 -32
README.md CHANGED
@@ -107,7 +107,7 @@ import os
107
 
108
  from huggingface_hub import snapshot_download
109
 
110
- path = snapshot_download("bkowshik/eeg-mi-datasets", repo_type="dataset", allow_patterns="BNCI2014_001/*/A01*")
111
  os.environ["MNE_DATASETS_BNCI_PATH"] = os.path.join(path, "BNCI2014_001")
112
 
113
  import moabb
@@ -126,7 +126,7 @@ import os
126
 
127
  from huggingface_hub import snapshot_download
128
 
129
- path = snapshot_download("bkowshik/eeg-mi-datasets", repo_type="dataset", allow_patterns="BNCI2014_002/*/S01*")
130
  os.environ["MNE_DATASETS_BNCI_PATH"] = os.path.join(path, "BNCI2014_002")
131
 
132
  import moabb
@@ -145,7 +145,7 @@ import os
145
 
146
  from huggingface_hub import snapshot_download
147
 
148
- path = snapshot_download("bkowshik/eeg-mi-datasets", repo_type="dataset", allow_patterns="BNCI2014_004/*/B01*")
149
  os.environ["MNE_DATASETS_BNCI_PATH"] = os.path.join(path, "BNCI2014_004")
150
 
151
  import moabb
@@ -164,7 +164,7 @@ import os
164
 
165
  from huggingface_hub import snapshot_download
166
 
167
- path = snapshot_download("bkowshik/eeg-mi-datasets", repo_type="dataset", allow_patterns="BNCI2015_001/*/S01*")
168
  os.environ["MNE_DATASETS_BNCI_PATH"] = os.path.join(path, "BNCI2015_001")
169
 
170
  import moabb
@@ -184,7 +184,7 @@ import os
184
  from huggingface_hub import snapshot_download
185
 
186
  patterns = ["Beetl2021_A/*/final_MI_label.txt", "Beetl2021_A/*/finalMI/S1/*"]
187
- path = snapshot_download("bkowshik/eeg-mi-datasets", repo_type="dataset", allow_patterns=patterns)
188
  os.environ["MNE_DATASETS_BEETL_PATH"] = os.path.join(path, "Beetl2021_A")
189
 
190
  import moabb
@@ -203,7 +203,7 @@ import os
203
 
204
  from huggingface_hub import snapshot_download
205
 
206
- path = snapshot_download("bkowshik/eeg-mi-datasets", repo_type="dataset", allow_patterns=["Brandl2020/*/mnt.mat", "Brandl2020/*/pp1.mat"])
207
  os.environ["MNE_DATASETS_BRANDL2020_PATH"] = os.path.join(path, "Brandl2020")
208
 
209
  import moabb
@@ -222,7 +222,7 @@ import os
222
 
223
  from huggingface_hub import snapshot_download
224
 
225
- path = snapshot_download("bkowshik/eeg-mi-datasets", repo_type="dataset", allow_patterns="Cho2017/*/s01.mat")
226
  os.environ["MNE_DATASETS_GIGADB_PATH"] = os.path.join(path, "Cho2017")
227
 
228
  import moabb
@@ -243,7 +243,7 @@ from huggingface_hub import snapshot_download
243
 
244
  # Release files (all names but sub-*.zip) and subject 1.
245
  patterns = ["Dreyer2023/*/[!s]*", "Dreyer2023/*/stimuli.zip", "Dreyer2023/*/sub-01.zip"]
246
- path = snapshot_download("bkowshik/eeg-mi-datasets", repo_type="dataset", allow_patterns=patterns, local_dir="eeg-mi-datasets")
247
  os.environ["MNE_DATASETS_DREYER2023_PATH"] = os.path.join(path, "Dreyer2023")
248
 
249
  import moabb
@@ -263,7 +263,7 @@ import os
263
  from huggingface_hub import snapshot_download
264
 
265
  patterns = ["Farabbi2020/*/chanlocs.locs", "Farabbi2020/*/01.zip"]
266
- path = snapshot_download("bkowshik/eeg-mi-datasets", repo_type="dataset", allow_patterns=patterns, local_dir="eeg-mi-datasets")
267
  os.environ["MNE_DATASETS_FARABBI2020_PATH"] = os.path.join(path, "Farabbi2020")
268
 
269
  import moabb
@@ -282,7 +282,7 @@ import os
282
 
283
  from huggingface_hub import snapshot_download
284
 
285
- path = snapshot_download("bkowshik/eeg-mi-datasets", repo_type="dataset", allow_patterns="GrosseWentrup2009/*/subject1.*")
286
  os.environ["MNE_DATASETS_MUNICHMI_PATH"] = os.path.join(path, "GrosseWentrup2009")
287
 
288
  import moabb
@@ -301,7 +301,7 @@ import os
301
 
302
  from huggingface_hub import snapshot_download
303
 
304
- path = snapshot_download("bkowshik/eeg-mi-datasets", repo_type="dataset", allow_patterns="GuttmannFlury2025_MI/*/S01.zip", local_dir="eeg-mi-datasets")
305
  os.environ["MNE_DATASETS_GUTTMANNFLURY2025-MI_PATH"] = os.path.join(path, "GuttmannFlury2025_MI")
306
 
307
  import moabb
@@ -321,7 +321,7 @@ import os
321
  from huggingface_hub import snapshot_download
322
 
323
  patterns = ["Jia2019/*/files/14185838", "Jia2019/*/files/14185841"]
324
- path = snapshot_download("bkowshik/eeg-mi-datasets", repo_type="dataset", allow_patterns=patterns)
325
  os.environ["MNE_DATASETS_JIA2019_PATH"] = os.path.join(path, "Jia2019")
326
 
327
  import moabb
@@ -340,7 +340,7 @@ import os
340
 
341
  from huggingface_hub import snapshot_download
342
 
343
- path = snapshot_download("bkowshik/eeg-mi-datasets", repo_type="dataset", allow_patterns="Kaya2018/*/CLA-SubjectA-*")
344
  os.environ["MNE_DATASETS_KAYA2018_PATH"] = os.path.join(path, "Kaya2018")
345
 
346
  import moabb
@@ -359,7 +359,7 @@ import os
359
 
360
  from huggingface_hub import snapshot_download
361
 
362
- path = snapshot_download("bkowshik/eeg-mi-datasets", repo_type="dataset", allow_patterns="Kumar2024/*", local_dir="eeg-mi-datasets")
363
  os.environ["MNE_DATASETS_KUMAR2024_PATH"] = os.path.join(path, "Kumar2024")
364
 
365
  import moabb
@@ -378,7 +378,7 @@ import os
378
 
379
  from huggingface_hub import snapshot_download
380
 
381
- path = snapshot_download("bkowshik/eeg-mi-datasets", repo_type="dataset", allow_patterns="Lee2019_MI/*/sess*_subj01_*")
382
  os.environ["MNE_DATASETS_LEE2019-MI_PATH"] = os.path.join(path, "Lee2019_MI")
383
 
384
  import moabb
@@ -398,7 +398,7 @@ import os
398
  from huggingface_hub import snapshot_download
399
 
400
  patterns = [f"Leeuwis2021/*/datafile/{id}" for id in (100063, 100065, 100033, 100008)]
401
- path = snapshot_download("bkowshik/eeg-mi-datasets", repo_type="dataset", allow_patterns=patterns)
402
  os.environ["MNE_DATASETS_LEEUWIS2021_PATH"] = os.path.join(path, "Leeuwis2021")
403
 
404
  import moabb
@@ -417,7 +417,7 @@ import os
417
 
418
  from huggingface_hub import snapshot_download
419
 
420
- path = snapshot_download("bkowshik/eeg-mi-datasets", repo_type="dataset", allow_patterns="Liu2024/*", local_dir="eeg-mi-datasets")
421
  os.environ["MNE_DATASETS_LIU2024_PATH"] = os.path.join(path, "Liu2024")
422
 
423
  import moabb
@@ -437,7 +437,7 @@ import os
437
  from huggingface_hub import snapshot_download
438
 
439
  patterns = ["Pan2023/*/datafile/7574475", "Pan2023/*/datafile/7574479"]
440
- path = snapshot_download("bkowshik/eeg-mi-datasets", repo_type="dataset", allow_patterns=patterns)
441
  os.environ["MNE_DATASETS_PAN2023_PATH"] = os.path.join(path, "Pan2023")
442
 
443
  import moabb
@@ -457,7 +457,7 @@ import os
457
  from huggingface_hub import snapshot_download
458
 
459
  patterns = ["Pan2025/*/datafile/11704410", "Pan2025/*/datafile/11704404"]
460
- path = snapshot_download("bkowshik/eeg-mi-datasets", repo_type="dataset", allow_patterns=patterns)
461
  os.environ["MNE_DATASETS_PAN2025_PATH"] = os.path.join(path, "Pan2025")
462
 
463
  import moabb
@@ -476,7 +476,7 @@ import os
476
 
477
  from huggingface_hub import snapshot_download
478
 
479
- path = snapshot_download("bkowshik/eeg-mi-datasets", repo_type="dataset", allow_patterns="PhysionetMI/*/S001/*")
480
  os.environ["MNE_DATASETS_EEGBCI_PATH"] = os.path.join(path, "PhysionetMI")
481
 
482
  import moabb
@@ -495,7 +495,7 @@ import os
495
 
496
  from huggingface_hub import snapshot_download
497
 
498
- path = snapshot_download("bkowshik/eeg-mi-datasets", repo_type="dataset", allow_patterns="Rozado2015/*/extracted/1/*")
499
  os.environ["MNE_DATASETS_ROZADO2015_PATH"] = os.path.join(path, "Rozado2015")
500
 
501
  import moabb
@@ -514,7 +514,7 @@ import os
514
 
515
  from huggingface_hub import snapshot_download
516
 
517
- path = snapshot_download("bkowshik/eeg-mi-datasets", repo_type="dataset", allow_patterns="Shin2022/*", local_dir="eeg-mi-datasets")
518
  os.environ["MNE_DATASETS_SHIN2022_PATH"] = os.path.join(path, "Shin2022")
519
 
520
  import moabb
@@ -533,7 +533,7 @@ import os
533
 
534
  from huggingface_hub import snapshot_download
535
 
536
- path = snapshot_download("bkowshik/eeg-mi-datasets", repo_type="dataset", allow_patterns="Stieger2021/*/S1_*")
537
  os.environ["MNE_DATASETS_STIEGER2021_PATH"] = os.path.join(path, "Stieger2021")
538
 
539
  import moabb
@@ -552,7 +552,7 @@ import os
552
 
553
  from huggingface_hub import snapshot_download
554
 
555
- path = snapshot_download("bkowshik/eeg-mi-datasets", repo_type="dataset", allow_patterns="Vagaja2023/*/SUB03/*")
556
  os.environ["MNE_DATASETS_VAGAJA2023_PATH"] = os.path.join(path, "Vagaja2023")
557
 
558
  import moabb
@@ -571,7 +571,7 @@ import os
571
 
572
  from huggingface_hub import snapshot_download
573
 
574
- path = snapshot_download("bkowshik/eeg-mi-datasets", repo_type="dataset", allow_patterns="WRCC2023_MI_A/*/datafile/10358829")
575
  os.environ["MNE_DATASETS_WRCC2023-MI-A_PATH"] = os.path.join(path, "WRCC2023_MI_A")
576
 
577
  import moabb
@@ -590,7 +590,7 @@ import os
590
 
591
  from huggingface_hub import snapshot_download
592
 
593
- path = snapshot_download("bkowshik/eeg-mi-datasets", repo_type="dataset", allow_patterns="WRCC2023_MI_B/*/datafile/10358839")
594
  os.environ["MNE_DATASETS_WRCC2023-MI-B_PATH"] = os.path.join(path, "WRCC2023_MI_B")
595
 
596
  import moabb
@@ -609,7 +609,7 @@ import os
609
 
610
  from huggingface_hub import snapshot_download
611
 
612
- path = snapshot_download("bkowshik/eeg-mi-datasets", repo_type="dataset", allow_patterns="WRCC2023_MI_C/*/datafile/10358845")
613
  os.environ["MNE_DATASETS_WRCC2023-MI-C_PATH"] = os.path.join(path, "WRCC2023_MI_C")
614
 
615
  import moabb
@@ -628,7 +628,7 @@ import os
628
 
629
  from huggingface_hub import snapshot_download
630
 
631
- path = snapshot_download("bkowshik/eeg-mi-datasets", repo_type="dataset", allow_patterns="Wang2025/*/sub-01/*")
632
  os.environ["MNE_DATASETS_WANG2025_PATH"] = os.path.join(path, "Wang2025")
633
 
634
  import moabb
@@ -647,7 +647,7 @@ import os
647
 
648
  from huggingface_hub import snapshot_download
649
 
650
- path = snapshot_download("bkowshik/eeg-mi-datasets", repo_type="dataset", allow_patterns="Weibo2014/*/subject_1.mat")
651
  os.environ["MNE_DATASETS_WEIBO_PATH"] = os.path.join(path, "Weibo2014")
652
 
653
  import moabb
@@ -672,7 +672,7 @@ import os
672
 
673
  from huggingface_hub import snapshot_download
674
 
675
- path = snapshot_download("bkowshik/eeg-mi-datasets", repo_type="dataset", allow_patterns="Yang2025/*/sourcedata/2C dataset/sub-001/*")
676
  os.environ["MNE_DATASETS_YANG2025_PATH"] = os.path.join(path, "Yang2025")
677
 
678
  import moabb
@@ -693,7 +693,7 @@ from huggingface_hub import snapshot_download
693
 
694
  # Release files (all names but sub-*.zip) and subject 1.
695
  patterns = ["Zhou2016/*/[!s]*", "Zhou2016/*/sub-1.zip"]
696
- path = snapshot_download("bkowshik/eeg-mi-datasets", repo_type="dataset", allow_patterns=patterns, local_dir="eeg-mi-datasets")
697
  os.environ["MNE_DATASETS_ZHOU2016_PATH"] = os.path.join(path, "Zhou2016")
698
 
699
  import moabb
@@ -712,7 +712,7 @@ import os
712
 
713
  from huggingface_hub import snapshot_download
714
 
715
- path = snapshot_download("bkowshik/eeg-mi-datasets", repo_type="dataset", allow_patterns="Zhou2020/*/S01.zip", local_dir="eeg-mi-datasets")
716
  os.environ["MNE_DATASETS_ZHOU2020_PATH"] = os.path.join(path, "Zhou2020")
717
 
718
  import moabb
 
107
 
108
  from huggingface_hub import snapshot_download
109
 
110
+ path = snapshot_download("EEGDash/eeg-mi-datasets", repo_type="dataset", allow_patterns="BNCI2014_001/*/A01*")
111
  os.environ["MNE_DATASETS_BNCI_PATH"] = os.path.join(path, "BNCI2014_001")
112
 
113
  import moabb
 
126
 
127
  from huggingface_hub import snapshot_download
128
 
129
+ path = snapshot_download("EEGDash/eeg-mi-datasets", repo_type="dataset", allow_patterns="BNCI2014_002/*/S01*")
130
  os.environ["MNE_DATASETS_BNCI_PATH"] = os.path.join(path, "BNCI2014_002")
131
 
132
  import moabb
 
145
 
146
  from huggingface_hub import snapshot_download
147
 
148
+ path = snapshot_download("EEGDash/eeg-mi-datasets", repo_type="dataset", allow_patterns="BNCI2014_004/*/B01*")
149
  os.environ["MNE_DATASETS_BNCI_PATH"] = os.path.join(path, "BNCI2014_004")
150
 
151
  import moabb
 
164
 
165
  from huggingface_hub import snapshot_download
166
 
167
+ path = snapshot_download("EEGDash/eeg-mi-datasets", repo_type="dataset", allow_patterns="BNCI2015_001/*/S01*")
168
  os.environ["MNE_DATASETS_BNCI_PATH"] = os.path.join(path, "BNCI2015_001")
169
 
170
  import moabb
 
184
  from huggingface_hub import snapshot_download
185
 
186
  patterns = ["Beetl2021_A/*/final_MI_label.txt", "Beetl2021_A/*/finalMI/S1/*"]
187
+ path = snapshot_download("EEGDash/eeg-mi-datasets", repo_type="dataset", allow_patterns=patterns)
188
  os.environ["MNE_DATASETS_BEETL_PATH"] = os.path.join(path, "Beetl2021_A")
189
 
190
  import moabb
 
203
 
204
  from huggingface_hub import snapshot_download
205
 
206
+ path = snapshot_download("EEGDash/eeg-mi-datasets", repo_type="dataset", allow_patterns=["Brandl2020/*/mnt.mat", "Brandl2020/*/pp1.mat"])
207
  os.environ["MNE_DATASETS_BRANDL2020_PATH"] = os.path.join(path, "Brandl2020")
208
 
209
  import moabb
 
222
 
223
  from huggingface_hub import snapshot_download
224
 
225
+ path = snapshot_download("EEGDash/eeg-mi-datasets", repo_type="dataset", allow_patterns="Cho2017/*/s01.mat")
226
  os.environ["MNE_DATASETS_GIGADB_PATH"] = os.path.join(path, "Cho2017")
227
 
228
  import moabb
 
243
 
244
  # Release files (all names but sub-*.zip) and subject 1.
245
  patterns = ["Dreyer2023/*/[!s]*", "Dreyer2023/*/stimuli.zip", "Dreyer2023/*/sub-01.zip"]
246
+ path = snapshot_download("EEGDash/eeg-mi-datasets", repo_type="dataset", allow_patterns=patterns, local_dir="eeg-mi-datasets")
247
  os.environ["MNE_DATASETS_DREYER2023_PATH"] = os.path.join(path, "Dreyer2023")
248
 
249
  import moabb
 
263
  from huggingface_hub import snapshot_download
264
 
265
  patterns = ["Farabbi2020/*/chanlocs.locs", "Farabbi2020/*/01.zip"]
266
+ path = snapshot_download("EEGDash/eeg-mi-datasets", repo_type="dataset", allow_patterns=patterns, local_dir="eeg-mi-datasets")
267
  os.environ["MNE_DATASETS_FARABBI2020_PATH"] = os.path.join(path, "Farabbi2020")
268
 
269
  import moabb
 
282
 
283
  from huggingface_hub import snapshot_download
284
 
285
+ path = snapshot_download("EEGDash/eeg-mi-datasets", repo_type="dataset", allow_patterns="GrosseWentrup2009/*/subject1.*")
286
  os.environ["MNE_DATASETS_MUNICHMI_PATH"] = os.path.join(path, "GrosseWentrup2009")
287
 
288
  import moabb
 
301
 
302
  from huggingface_hub import snapshot_download
303
 
304
+ path = snapshot_download("EEGDash/eeg-mi-datasets", repo_type="dataset", allow_patterns="GuttmannFlury2025_MI/*/S01.zip", local_dir="eeg-mi-datasets")
305
  os.environ["MNE_DATASETS_GUTTMANNFLURY2025-MI_PATH"] = os.path.join(path, "GuttmannFlury2025_MI")
306
 
307
  import moabb
 
321
  from huggingface_hub import snapshot_download
322
 
323
  patterns = ["Jia2019/*/files/14185838", "Jia2019/*/files/14185841"]
324
+ path = snapshot_download("EEGDash/eeg-mi-datasets", repo_type="dataset", allow_patterns=patterns)
325
  os.environ["MNE_DATASETS_JIA2019_PATH"] = os.path.join(path, "Jia2019")
326
 
327
  import moabb
 
340
 
341
  from huggingface_hub import snapshot_download
342
 
343
+ path = snapshot_download("EEGDash/eeg-mi-datasets", repo_type="dataset", allow_patterns="Kaya2018/*/CLA-SubjectA-*")
344
  os.environ["MNE_DATASETS_KAYA2018_PATH"] = os.path.join(path, "Kaya2018")
345
 
346
  import moabb
 
359
 
360
  from huggingface_hub import snapshot_download
361
 
362
+ path = snapshot_download("EEGDash/eeg-mi-datasets", repo_type="dataset", allow_patterns="Kumar2024/*", local_dir="eeg-mi-datasets")
363
  os.environ["MNE_DATASETS_KUMAR2024_PATH"] = os.path.join(path, "Kumar2024")
364
 
365
  import moabb
 
378
 
379
  from huggingface_hub import snapshot_download
380
 
381
+ path = snapshot_download("EEGDash/eeg-mi-datasets", repo_type="dataset", allow_patterns="Lee2019_MI/*/sess*_subj01_*")
382
  os.environ["MNE_DATASETS_LEE2019-MI_PATH"] = os.path.join(path, "Lee2019_MI")
383
 
384
  import moabb
 
398
  from huggingface_hub import snapshot_download
399
 
400
  patterns = [f"Leeuwis2021/*/datafile/{id}" for id in (100063, 100065, 100033, 100008)]
401
+ path = snapshot_download("EEGDash/eeg-mi-datasets", repo_type="dataset", allow_patterns=patterns)
402
  os.environ["MNE_DATASETS_LEEUWIS2021_PATH"] = os.path.join(path, "Leeuwis2021")
403
 
404
  import moabb
 
417
 
418
  from huggingface_hub import snapshot_download
419
 
420
+ path = snapshot_download("EEGDash/eeg-mi-datasets", repo_type="dataset", allow_patterns="Liu2024/*", local_dir="eeg-mi-datasets")
421
  os.environ["MNE_DATASETS_LIU2024_PATH"] = os.path.join(path, "Liu2024")
422
 
423
  import moabb
 
437
  from huggingface_hub import snapshot_download
438
 
439
  patterns = ["Pan2023/*/datafile/7574475", "Pan2023/*/datafile/7574479"]
440
+ path = snapshot_download("EEGDash/eeg-mi-datasets", repo_type="dataset", allow_patterns=patterns)
441
  os.environ["MNE_DATASETS_PAN2023_PATH"] = os.path.join(path, "Pan2023")
442
 
443
  import moabb
 
457
  from huggingface_hub import snapshot_download
458
 
459
  patterns = ["Pan2025/*/datafile/11704410", "Pan2025/*/datafile/11704404"]
460
+ path = snapshot_download("EEGDash/eeg-mi-datasets", repo_type="dataset", allow_patterns=patterns)
461
  os.environ["MNE_DATASETS_PAN2025_PATH"] = os.path.join(path, "Pan2025")
462
 
463
  import moabb
 
476
 
477
  from huggingface_hub import snapshot_download
478
 
479
+ path = snapshot_download("EEGDash/eeg-mi-datasets", repo_type="dataset", allow_patterns="PhysionetMI/*/S001/*")
480
  os.environ["MNE_DATASETS_EEGBCI_PATH"] = os.path.join(path, "PhysionetMI")
481
 
482
  import moabb
 
495
 
496
  from huggingface_hub import snapshot_download
497
 
498
+ path = snapshot_download("EEGDash/eeg-mi-datasets", repo_type="dataset", allow_patterns="Rozado2015/*/extracted/1/*")
499
  os.environ["MNE_DATASETS_ROZADO2015_PATH"] = os.path.join(path, "Rozado2015")
500
 
501
  import moabb
 
514
 
515
  from huggingface_hub import snapshot_download
516
 
517
+ path = snapshot_download("EEGDash/eeg-mi-datasets", repo_type="dataset", allow_patterns="Shin2022/*", local_dir="eeg-mi-datasets")
518
  os.environ["MNE_DATASETS_SHIN2022_PATH"] = os.path.join(path, "Shin2022")
519
 
520
  import moabb
 
533
 
534
  from huggingface_hub import snapshot_download
535
 
536
+ path = snapshot_download("EEGDash/eeg-mi-datasets", repo_type="dataset", allow_patterns="Stieger2021/*/S1_*")
537
  os.environ["MNE_DATASETS_STIEGER2021_PATH"] = os.path.join(path, "Stieger2021")
538
 
539
  import moabb
 
552
 
553
  from huggingface_hub import snapshot_download
554
 
555
+ path = snapshot_download("EEGDash/eeg-mi-datasets", repo_type="dataset", allow_patterns="Vagaja2023/*/SUB03/*")
556
  os.environ["MNE_DATASETS_VAGAJA2023_PATH"] = os.path.join(path, "Vagaja2023")
557
 
558
  import moabb
 
571
 
572
  from huggingface_hub import snapshot_download
573
 
574
+ path = snapshot_download("EEGDash/eeg-mi-datasets", repo_type="dataset", allow_patterns="WRCC2023_MI_A/*/datafile/10358829")
575
  os.environ["MNE_DATASETS_WRCC2023-MI-A_PATH"] = os.path.join(path, "WRCC2023_MI_A")
576
 
577
  import moabb
 
590
 
591
  from huggingface_hub import snapshot_download
592
 
593
+ path = snapshot_download("EEGDash/eeg-mi-datasets", repo_type="dataset", allow_patterns="WRCC2023_MI_B/*/datafile/10358839")
594
  os.environ["MNE_DATASETS_WRCC2023-MI-B_PATH"] = os.path.join(path, "WRCC2023_MI_B")
595
 
596
  import moabb
 
609
 
610
  from huggingface_hub import snapshot_download
611
 
612
+ path = snapshot_download("EEGDash/eeg-mi-datasets", repo_type="dataset", allow_patterns="WRCC2023_MI_C/*/datafile/10358845")
613
  os.environ["MNE_DATASETS_WRCC2023-MI-C_PATH"] = os.path.join(path, "WRCC2023_MI_C")
614
 
615
  import moabb
 
628
 
629
  from huggingface_hub import snapshot_download
630
 
631
+ path = snapshot_download("EEGDash/eeg-mi-datasets", repo_type="dataset", allow_patterns="Wang2025/*/sub-01/*")
632
  os.environ["MNE_DATASETS_WANG2025_PATH"] = os.path.join(path, "Wang2025")
633
 
634
  import moabb
 
647
 
648
  from huggingface_hub import snapshot_download
649
 
650
+ path = snapshot_download("EEGDash/eeg-mi-datasets", repo_type="dataset", allow_patterns="Weibo2014/*/subject_1.mat")
651
  os.environ["MNE_DATASETS_WEIBO_PATH"] = os.path.join(path, "Weibo2014")
652
 
653
  import moabb
 
672
 
673
  from huggingface_hub import snapshot_download
674
 
675
+ path = snapshot_download("EEGDash/eeg-mi-datasets", repo_type="dataset", allow_patterns="Yang2025/*/sourcedata/2C dataset/sub-001/*")
676
  os.environ["MNE_DATASETS_YANG2025_PATH"] = os.path.join(path, "Yang2025")
677
 
678
  import moabb
 
693
 
694
  # Release files (all names but sub-*.zip) and subject 1.
695
  patterns = ["Zhou2016/*/[!s]*", "Zhou2016/*/sub-1.zip"]
696
+ path = snapshot_download("EEGDash/eeg-mi-datasets", repo_type="dataset", allow_patterns=patterns, local_dir="eeg-mi-datasets")
697
  os.environ["MNE_DATASETS_ZHOU2016_PATH"] = os.path.join(path, "Zhou2016")
698
 
699
  import moabb
 
712
 
713
  from huggingface_hub import snapshot_download
714
 
715
+ path = snapshot_download("EEGDash/eeg-mi-datasets", repo_type="dataset", allow_patterns="Zhou2020/*/S01.zip", local_dir="eeg-mi-datasets")
716
  os.environ["MNE_DATASETS_ZHOU2020_PATH"] = os.path.join(path, "Zhou2020")
717
 
718
  import moabb