datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
localizer
Dartbrains Localizer Dataset
A subset of the Brainomics/Localizer functional MRI dataset, prepared for the Dartbrains neuroimaging course at Dartmouth College.
Quick Start
Load beta maps (recommended for most exercises)
from datasets import load_dataset
ds = load_dataset("dartbrains/localizer", "betas")
img = ds[0]["nifti"] # nibabel.Nifti1Image
subject = ds[0]["subject"] # "S01"
condition = ds[0]["condition"] # "audio_computation"… See the full description on the dataset page: https://huggingface.co/datasets/dartbrains/localizer.F1-aero-localized-collapse-trigger-detection-v0.1What this dataset tests
Whether a system can link disturbancesto localized aero collapse events.
Focus
Trigger typecollapse locationonset latencyrecovery timespread riskbalance shift linkage
Required outputs
trigger event type
trigger location zone
collapse onset latency
coherence recovery time
collapse spread risk
disturbance to balance shift score
All indices0 to 1
Timesin seconds
Higher spread riskmeans collapse likely propagates across the platform.