| # bciciv-2a — public training data |
|
|
| Public-side data for BrainPilotBench task |
| [`tasks/bciciv-2a`](https://github.com/NeuroAIHub/BrainPilotBench/tree/main/tasks/bciciv-2a). |
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|
| Held-out session-E evaluation GDF files and their true labels live in the |
| gated companion dataset |
| [`BrainPilot-Bench/Tasks-Data-Private`](https://huggingface.co/datasets/BrainPilot-Bench/Tasks-Data-Private) |
| and never appear here. |
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|
| ## Files |
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|
| | 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 | |
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| `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). |
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|
| See the task README in the main repo for the full contract. |
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| ## Provenance & license |
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|
| 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. |
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|
