Datasets:
Request access to this dataset
Pseudonymised human neurophysiological recordings. Every request is reviewed by HABS and access is granted for research use.
These are recordings of human participants, released in pseudonymised form. By requesting access you agree that you will not attempt to re-identify any participant, will not redistribute the recordings or any derivative from which a participant could be identified, will use them only for the research purpose you state below, and will delete your copy when that work is finished. HABS may withdraw access at any time.
Log in or Sign Up to review the conditions and access this dataset content.
Multimodal EEG, physiology and eye-tracking during emotional video viewing
Synchronised brain and physiological recordings from 384 participants, collected while they watched videos chosen to elicit emotion, rested, and performed an artefact calibration task. Collected and released by HABS — Human Augmented Brain Systems.
DATASET.md is the guide. It describes the layout, the signals, the event timing, and every column of the three tables. Read it before you write anything.
What is in it
CURATED/ |
384 participants, unprocessed recordings — 195.56 GB |
PREPROCESSED/ |
383 participants, cleaned and preprocessed — 190.06 GB |
labels.csv |
48,996 video trials, with ratings and emotion labels |
markers.csv |
marker-code lookup |
participants.csv |
demographics and questionnaire scores |
scripts/ |
the supplied BDF loader and two worked notebooks |
Each recording is a .bdf file with a matching .record_map sidecar describing
its channels, units and sampling rates, and a per-day _metadata.json holding
the session events. 64-channel EEG at 1,000 Hz, with ECG, skin conductance,
respiration, gaze and pupil size. Keep every BDF beside its record map.
Download only what you need
It is 385 GB in total, so take a slice.
pip install huggingface_hub
hf auth login
# one participant
hf download HABSteam/multimodal-eeg-emotion --repo-type dataset --local-dir ./data \
--include "CURATED/P001/*"
# every resting-state recording (~20 MB each)
hf download HABSteam/multimodal-eeg-emotion --repo-type dataset --local-dir ./data \
--include "CURATED/*/*resting-state*"
# the tables and the loader, without any recordings
hf download HABSteam/multimodal-eeg-emotion --repo-type dataset --local-dir ./data \
--include "*.csv" "scripts/*"
Resting-state recordings are about 20 MB, artefact about 45 MB, and emotion-video between 150 and 280 MB.
Before you report an accuracy
Recordings share videos, and repeated sessions or participant IDs introduce dependencies. A model evaluated on videos that also appear in training can recognise video-specific patterns, so its accuracy alone does not establish that it decodes emotion. Choose splits that match the question you are asking, and say which you chose.
final_emotion_label is derived from several annotation sources and may differ
from a participant's own first-ranked report. It is not a direct measurement of
subjective experience.
Terms
Pseudonymised human neurophysiological data, released under the data use agreement you accept when requesting access. Do not attempt to re-identify participants, do not redistribute the recordings, and delete your copy when your work is done. HABS may withdraw access at any time.
Controller: HABS — Human Augmented Brain Systems, SASU, 34 rue Laffitte, 75009 Paris, RCS Paris 953 261 583. See the HABS privacy policy. Data-protection questions and requests under the GDPR: dpo@habs.tech.
- Downloads last month
- -