datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
cueless_EEG_subject_identification
🧠✨ Cueless EEG Imagined Speech for Subject Identification
This repository hosts the dataset introduced in the paper:
“Cueless EEG Imagined Speech for Subject Identification: Dataset and Benchmarks.”
🥳 Our work has been accepted by IEEE Transactions on Biometrics, Behavior, and Identity Science (T-BIOM) 🎉.
🧪💻 Code & Experiments
All codes and experiments are available at 👉 https://github.com/Alidr79/cueless_EEG_subject_identification
📥 Downloading the Dataset… See the full description on the dataset page: https://huggingface.co/datasets/Alidr79/cueless_EEG_subject_identification.Disorders_and_Diagnosis_EEG_Dataset-v4
Dataset
Synthetic EEG data generated by the ‘bai’ model based on real data.
Features/Columns:
No: "Number"
Sex: "Gender"
Age: "Age of participants"
Education: "Education level"
IQ: "IQ level of participants"
EQ: "EQ level of participants"
Disorder/Diagnosis: "General class definition of the disorder and diagnosis"
EEG_Electrode_{1, 2, 3, ...... 32}: "EEG electrode number"
Total Features/Columns: 39
Content:
Obsessive Compulsive Disorder
Bipolar Disorder… See the full description on the dataset page: https://huggingface.co/datasets/Neurazum/Disorders_and_Diagnosis_EEG_Dataset-v4.Disorders_and_Diagnosis_EEG_Dataset-v3
Dataset
Synthetic EEG data generated by the ‘bai’ model based on real data.
Features/Columns:
No: "Number"
Sex: "Gender"
Age: "Age of participants"
EEG Date: "The date of the EEG"
Education: "Education level"
IQ: "IQ level of participants"
EQ: "EQ level of participants"
Disorder/Diagnosis: "General class definition of the disorder and diagnosis"
EEG_Electrode_{1, 2, 3, ...... 32}: "EEG electrode number"
Total Features/Columns: 40
Content:
Obsessive… See the full description on the dataset page: https://huggingface.co/datasets/Neurazum/Disorders_and_Diagnosis_EEG_Dataset-v3.eeg-micostates-promtsEEG-fNIRS-based-Handwriting-Trajectory-Dataset
Overview
This dataset contains the raw multimodal signals and metadata.
The goal of the competition is to predict the imagined handwriting class for each test trial using synchronized:
EEG signals
fNIRS signals
The dataset is organized to support an end-to-end competition workflow:
train_meta.csv provides labeled training trials
test_meta.csv provides unlabeled test trials
raw/ contains the corresponding raw EEG and fNIRS recordings
Files… See the full description on the dataset page: https://huggingface.co/datasets/lasfk/EEG-fNIRS-based-Handwriting-Trajectory-Dataset.psychiatric-eegDisorders_and_Diagnosis_EEG_Dataset-v5
Dataset
Synthetic EEG data generated by the ‘bai’ model based on real data.
Features/Columns:
No: "Number"
Sex: "Gender"
Age: "Age of participants"
Education: "Education level"
IQ: "IQ level of participants"
EQ: "EQ level of participants"
Disorder/Diagnosis: "General class definition of the disorder and diagnosis"
EEG_Electrode_{1, 2, 3, ...... 32}: "EEG electrode number"
Total Features/Columns: 39
Content:
Obsessive Compulsive Disorder
Bipolar Disorder… See the full description on the dataset page: https://huggingface.co/datasets/Neurazum/Disorders_and_Diagnosis_EEG_Dataset-v5.EEG_Eye_State_Classification_table_freq_windoweeg-eye-state