Card: snapshot_download examples name EEGDash/eeg-mi-datasets
Browse filesThe mirror moved from bkowshik/eeg-mi-datasets to the EEGDash organisation; the old ID redirects here.
README.md
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@@ -107,7 +107,7 @@ import os
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from huggingface_hub import snapshot_download
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path = snapshot_download("
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os.environ["MNE_DATASETS_BNCI_PATH"] = os.path.join(path, "BNCI2014_001")
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import moabb
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from huggingface_hub import snapshot_download
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path = snapshot_download("
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os.environ["MNE_DATASETS_BNCI_PATH"] = os.path.join(path, "BNCI2014_002")
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import moabb
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from huggingface_hub import snapshot_download
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path = snapshot_download("
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os.environ["MNE_DATASETS_BNCI_PATH"] = os.path.join(path, "BNCI2014_004")
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import moabb
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from huggingface_hub import snapshot_download
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path = snapshot_download("
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os.environ["MNE_DATASETS_BNCI_PATH"] = os.path.join(path, "BNCI2015_001")
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import moabb
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from huggingface_hub import snapshot_download
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patterns = ["Beetl2021_A/*/final_MI_label.txt", "Beetl2021_A/*/finalMI/S1/*"]
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path = snapshot_download("
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os.environ["MNE_DATASETS_BEETL_PATH"] = os.path.join(path, "Beetl2021_A")
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import moabb
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from huggingface_hub import snapshot_download
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path = snapshot_download("
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os.environ["MNE_DATASETS_BRANDL2020_PATH"] = os.path.join(path, "Brandl2020")
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import moabb
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from huggingface_hub import snapshot_download
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path = snapshot_download("
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os.environ["MNE_DATASETS_GIGADB_PATH"] = os.path.join(path, "Cho2017")
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import moabb
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# Release files (all names but sub-*.zip) and subject 1.
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patterns = ["Dreyer2023/*/[!s]*", "Dreyer2023/*/stimuli.zip", "Dreyer2023/*/sub-01.zip"]
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path = snapshot_download("
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os.environ["MNE_DATASETS_DREYER2023_PATH"] = os.path.join(path, "Dreyer2023")
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import moabb
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@@ -263,7 +263,7 @@ import os
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from huggingface_hub import snapshot_download
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patterns = ["Farabbi2020/*/chanlocs.locs", "Farabbi2020/*/01.zip"]
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path = snapshot_download("
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os.environ["MNE_DATASETS_FARABBI2020_PATH"] = os.path.join(path, "Farabbi2020")
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import moabb
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from huggingface_hub import snapshot_download
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path = snapshot_download("
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os.environ["MNE_DATASETS_MUNICHMI_PATH"] = os.path.join(path, "GrosseWentrup2009")
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import moabb
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from huggingface_hub import snapshot_download
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path = snapshot_download("
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os.environ["MNE_DATASETS_GUTTMANNFLURY2025-MI_PATH"] = os.path.join(path, "GuttmannFlury2025_MI")
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import moabb
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from huggingface_hub import snapshot_download
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patterns = ["Jia2019/*/files/14185838", "Jia2019/*/files/14185841"]
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path = snapshot_download("
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os.environ["MNE_DATASETS_JIA2019_PATH"] = os.path.join(path, "Jia2019")
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import moabb
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from huggingface_hub import snapshot_download
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path = snapshot_download("
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os.environ["MNE_DATASETS_KAYA2018_PATH"] = os.path.join(path, "Kaya2018")
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import moabb
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from huggingface_hub import snapshot_download
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path = snapshot_download("
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os.environ["MNE_DATASETS_KUMAR2024_PATH"] = os.path.join(path, "Kumar2024")
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import moabb
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from huggingface_hub import snapshot_download
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path = snapshot_download("
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os.environ["MNE_DATASETS_LEE2019-MI_PATH"] = os.path.join(path, "Lee2019_MI")
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import moabb
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@@ -398,7 +398,7 @@ import os
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from huggingface_hub import snapshot_download
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patterns = [f"Leeuwis2021/*/datafile/{id}" for id in (100063, 100065, 100033, 100008)]
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path = snapshot_download("
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os.environ["MNE_DATASETS_LEEUWIS2021_PATH"] = os.path.join(path, "Leeuwis2021")
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import moabb
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from huggingface_hub import snapshot_download
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path = snapshot_download("
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os.environ["MNE_DATASETS_LIU2024_PATH"] = os.path.join(path, "Liu2024")
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import moabb
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@@ -437,7 +437,7 @@ import os
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from huggingface_hub import snapshot_download
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patterns = ["Pan2023/*/datafile/7574475", "Pan2023/*/datafile/7574479"]
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path = snapshot_download("
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os.environ["MNE_DATASETS_PAN2023_PATH"] = os.path.join(path, "Pan2023")
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import moabb
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from huggingface_hub import snapshot_download
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patterns = ["Pan2025/*/datafile/11704410", "Pan2025/*/datafile/11704404"]
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path = snapshot_download("
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os.environ["MNE_DATASETS_PAN2025_PATH"] = os.path.join(path, "Pan2025")
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import moabb
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from huggingface_hub import snapshot_download
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path = snapshot_download("
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os.environ["MNE_DATASETS_EEGBCI_PATH"] = os.path.join(path, "PhysionetMI")
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import moabb
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from huggingface_hub import snapshot_download
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path = snapshot_download("
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os.environ["MNE_DATASETS_ROZADO2015_PATH"] = os.path.join(path, "Rozado2015")
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import moabb
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from huggingface_hub import snapshot_download
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path = snapshot_download("
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os.environ["MNE_DATASETS_SHIN2022_PATH"] = os.path.join(path, "Shin2022")
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import moabb
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from huggingface_hub import snapshot_download
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path = snapshot_download("
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os.environ["MNE_DATASETS_STIEGER2021_PATH"] = os.path.join(path, "Stieger2021")
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import moabb
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from huggingface_hub import snapshot_download
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path = snapshot_download("
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os.environ["MNE_DATASETS_VAGAJA2023_PATH"] = os.path.join(path, "Vagaja2023")
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import moabb
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from huggingface_hub import snapshot_download
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path = snapshot_download("
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os.environ["MNE_DATASETS_WRCC2023-MI-A_PATH"] = os.path.join(path, "WRCC2023_MI_A")
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import moabb
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from huggingface_hub import snapshot_download
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path = snapshot_download("
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os.environ["MNE_DATASETS_WRCC2023-MI-B_PATH"] = os.path.join(path, "WRCC2023_MI_B")
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import moabb
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from huggingface_hub import snapshot_download
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path = snapshot_download("
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os.environ["MNE_DATASETS_WRCC2023-MI-C_PATH"] = os.path.join(path, "WRCC2023_MI_C")
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import moabb
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from huggingface_hub import snapshot_download
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path = snapshot_download("
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os.environ["MNE_DATASETS_WANG2025_PATH"] = os.path.join(path, "Wang2025")
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import moabb
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from huggingface_hub import snapshot_download
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path = snapshot_download("
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os.environ["MNE_DATASETS_WEIBO_PATH"] = os.path.join(path, "Weibo2014")
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import moabb
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from huggingface_hub import snapshot_download
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path = snapshot_download("
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os.environ["MNE_DATASETS_YANG2025_PATH"] = os.path.join(path, "Yang2025")
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import moabb
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# Release files (all names but sub-*.zip) and subject 1.
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patterns = ["Zhou2016/*/[!s]*", "Zhou2016/*/sub-1.zip"]
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path = snapshot_download("
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os.environ["MNE_DATASETS_ZHOU2016_PATH"] = os.path.join(path, "Zhou2016")
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import moabb
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from huggingface_hub import snapshot_download
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path = snapshot_download("
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os.environ["MNE_DATASETS_ZHOU2020_PATH"] = os.path.join(path, "Zhou2020")
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import moabb
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from huggingface_hub import snapshot_download
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path = snapshot_download("EEGDash/eeg-mi-datasets", repo_type="dataset", allow_patterns="BNCI2014_001/*/A01*")
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os.environ["MNE_DATASETS_BNCI_PATH"] = os.path.join(path, "BNCI2014_001")
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import moabb
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from huggingface_hub import snapshot_download
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path = snapshot_download("EEGDash/eeg-mi-datasets", repo_type="dataset", allow_patterns="BNCI2014_002/*/S01*")
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os.environ["MNE_DATASETS_BNCI_PATH"] = os.path.join(path, "BNCI2014_002")
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import moabb
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from huggingface_hub import snapshot_download
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path = snapshot_download("EEGDash/eeg-mi-datasets", repo_type="dataset", allow_patterns="BNCI2014_004/*/B01*")
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os.environ["MNE_DATASETS_BNCI_PATH"] = os.path.join(path, "BNCI2014_004")
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import moabb
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from huggingface_hub import snapshot_download
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path = snapshot_download("EEGDash/eeg-mi-datasets", repo_type="dataset", allow_patterns="BNCI2015_001/*/S01*")
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os.environ["MNE_DATASETS_BNCI_PATH"] = os.path.join(path, "BNCI2015_001")
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import moabb
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from huggingface_hub import snapshot_download
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patterns = ["Beetl2021_A/*/final_MI_label.txt", "Beetl2021_A/*/finalMI/S1/*"]
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path = snapshot_download("EEGDash/eeg-mi-datasets", repo_type="dataset", allow_patterns=patterns)
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os.environ["MNE_DATASETS_BEETL_PATH"] = os.path.join(path, "Beetl2021_A")
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import moabb
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from huggingface_hub import snapshot_download
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path = snapshot_download("EEGDash/eeg-mi-datasets", repo_type="dataset", allow_patterns=["Brandl2020/*/mnt.mat", "Brandl2020/*/pp1.mat"])
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os.environ["MNE_DATASETS_BRANDL2020_PATH"] = os.path.join(path, "Brandl2020")
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import moabb
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from huggingface_hub import snapshot_download
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path = snapshot_download("EEGDash/eeg-mi-datasets", repo_type="dataset", allow_patterns="Cho2017/*/s01.mat")
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os.environ["MNE_DATASETS_GIGADB_PATH"] = os.path.join(path, "Cho2017")
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import moabb
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# Release files (all names but sub-*.zip) and subject 1.
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patterns = ["Dreyer2023/*/[!s]*", "Dreyer2023/*/stimuli.zip", "Dreyer2023/*/sub-01.zip"]
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path = snapshot_download("EEGDash/eeg-mi-datasets", repo_type="dataset", allow_patterns=patterns, local_dir="eeg-mi-datasets")
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os.environ["MNE_DATASETS_DREYER2023_PATH"] = os.path.join(path, "Dreyer2023")
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import moabb
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from huggingface_hub import snapshot_download
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patterns = ["Farabbi2020/*/chanlocs.locs", "Farabbi2020/*/01.zip"]
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path = snapshot_download("EEGDash/eeg-mi-datasets", repo_type="dataset", allow_patterns=patterns, local_dir="eeg-mi-datasets")
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os.environ["MNE_DATASETS_FARABBI2020_PATH"] = os.path.join(path, "Farabbi2020")
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import moabb
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from huggingface_hub import snapshot_download
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path = snapshot_download("EEGDash/eeg-mi-datasets", repo_type="dataset", allow_patterns="GrosseWentrup2009/*/subject1.*")
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os.environ["MNE_DATASETS_MUNICHMI_PATH"] = os.path.join(path, "GrosseWentrup2009")
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import moabb
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from huggingface_hub import snapshot_download
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path = snapshot_download("EEGDash/eeg-mi-datasets", repo_type="dataset", allow_patterns="GuttmannFlury2025_MI/*/S01.zip", local_dir="eeg-mi-datasets")
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os.environ["MNE_DATASETS_GUTTMANNFLURY2025-MI_PATH"] = os.path.join(path, "GuttmannFlury2025_MI")
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import moabb
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from huggingface_hub import snapshot_download
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patterns = ["Jia2019/*/files/14185838", "Jia2019/*/files/14185841"]
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path = snapshot_download("EEGDash/eeg-mi-datasets", repo_type="dataset", allow_patterns=patterns)
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os.environ["MNE_DATASETS_JIA2019_PATH"] = os.path.join(path, "Jia2019")
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import moabb
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from huggingface_hub import snapshot_download
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path = snapshot_download("EEGDash/eeg-mi-datasets", repo_type="dataset", allow_patterns="Kaya2018/*/CLA-SubjectA-*")
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os.environ["MNE_DATASETS_KAYA2018_PATH"] = os.path.join(path, "Kaya2018")
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import moabb
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from huggingface_hub import snapshot_download
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path = snapshot_download("EEGDash/eeg-mi-datasets", repo_type="dataset", allow_patterns="Kumar2024/*", local_dir="eeg-mi-datasets")
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os.environ["MNE_DATASETS_KUMAR2024_PATH"] = os.path.join(path, "Kumar2024")
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import moabb
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from huggingface_hub import snapshot_download
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path = snapshot_download("EEGDash/eeg-mi-datasets", repo_type="dataset", allow_patterns="Lee2019_MI/*/sess*_subj01_*")
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os.environ["MNE_DATASETS_LEE2019-MI_PATH"] = os.path.join(path, "Lee2019_MI")
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import moabb
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from huggingface_hub import snapshot_download
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patterns = [f"Leeuwis2021/*/datafile/{id}" for id in (100063, 100065, 100033, 100008)]
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path = snapshot_download("EEGDash/eeg-mi-datasets", repo_type="dataset", allow_patterns=patterns)
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os.environ["MNE_DATASETS_LEEUWIS2021_PATH"] = os.path.join(path, "Leeuwis2021")
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import moabb
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from huggingface_hub import snapshot_download
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path = snapshot_download("EEGDash/eeg-mi-datasets", repo_type="dataset", allow_patterns="Liu2024/*", local_dir="eeg-mi-datasets")
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os.environ["MNE_DATASETS_LIU2024_PATH"] = os.path.join(path, "Liu2024")
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import moabb
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from huggingface_hub import snapshot_download
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patterns = ["Pan2023/*/datafile/7574475", "Pan2023/*/datafile/7574479"]
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path = snapshot_download("EEGDash/eeg-mi-datasets", repo_type="dataset", allow_patterns=patterns)
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os.environ["MNE_DATASETS_PAN2023_PATH"] = os.path.join(path, "Pan2023")
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import moabb
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|
| 457 |
from huggingface_hub import snapshot_download
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| 458 |
|
| 459 |
patterns = ["Pan2025/*/datafile/11704410", "Pan2025/*/datafile/11704404"]
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| 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")
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| 462 |
|
| 463 |
import moabb
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|
| 476 |
|
| 477 |
from huggingface_hub import snapshot_download
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| 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")
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| 481 |
|
| 482 |
import moabb
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|
| 495 |
|
| 496 |
from huggingface_hub import snapshot_download
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| 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
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|
| 514 |
|
| 515 |
from huggingface_hub import snapshot_download
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| 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
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|
| 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
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|
|
|
| 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
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|
|
|
| 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
|