| # tops-fmri — public support data | |
| Public-side data for BrainPilotBench task | |
| [`tasks/tops-fmri`](https://github.com/NeuroAIHub/BrainPilotBench/tree/main/tasks/tops-fmri). | |
| Held-out evaluation features + 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. | |
| ## Files | |
| | File | Contents | Size | | |
| |---|---|---| | |
| | `study3_train.mat` | Study3 dynamic-FC + pain ratings, MATLAB v7.3 (`dfc_5bin_dat`, `pain_5bin_dat`, `dfc_avg_dat`, …). Sole training source. | ~ 954 MB | | |
| | `public_support.tar.zst` | `atlas/` (Fan 279-ROI atlas + network labels) + one `example_participant/` (FC / ROI / pain_rating .mat files) used to verify the 38781 edge order. `fMRI/*.nii.gz` raw previews are intentionally omitted. | ~ 12 MB | | |
| Both files are pinned by sha256 in the task's `data.lock`; the agent's | |
| `env/setup.sh` untars `public_support.tar.zst` into the workspace next to | |
| `study3_train.mat`. | |
| ## Task summary | |
| Train a linear tonic-pain functional-connectivity signature on Study3, submit | |
| weights + a numpy-only `apply_signature.py`; the benchmark scorer runs it | |
| against the private Study4/Study5 features and computes r / AUC. See the | |
| task README in the main repo for the full contract. | |
| ## Provenance & license | |
| Study3 comes from the ToPS tonic-pain fMRI project. License Apache-2.0 | |
| (see repo `LICENSE`). | |