bciciv-2a — public training data
Public-side data for BrainPilotBench task
tasks/bciciv-2a.
Held-out session-E evaluation GDF files and their true labels live in the
gated companion dataset
BrainPilot-Bench/Tasks-Data-Private
and never appear here.
Files
| File | Contents | Size |
|---|---|---|
public.tar.zst |
gdf/A0[1-9]T.gdf (9 subjects × session-T training GDF), manifests/{subjects.json,protocol.json}, get_subject_data.py, label_mapping.json, README.md |
~ 194 MB |
public.tar.zst is pinned by sha256 in the task's data.lock; the agent's
env/setup-agent.sh untars it into the workspace public_data/.
Task summary
BCI Competition IV Dataset 2a — 4-class motor imagery decoding (left hand /
right hand / feet / tongue). 9 subjects × 22 EEG channels × 288 trials per
session. The agent submits a PyTorch MIAgentModel module; the benchmark
scorer trains one model per subject on session T (230/58 stratified train/val
split, fixed seed 42) and evaluates on session E (288-trial blind test).
See the task README in the main repo for the full contract.
Provenance & license
GDF files come from the BCI Competition IV Dataset 2a (Graz). License
Apache-2.0 (see repo LICENSE). See
https://www.bbci.de/competition/iv/ for the original release.