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feat(tops-fmri): + study3_train.mat + public_support.tar.zst + task README

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study3_train.mat: 954 MB sha256 17ca43dbc6ec53f9d9a1ae7b5ad234160d1dfee96dc5d83c714dd4cf87ae7366
public_support.tar.zst: 12 MB sha256 051316b32ffe0b39d32ef1a577d82f6c18e5a90425d9082367566cd7b83204d2
(pinned in BrainPilotBench tasks/tops-fmri/data.lock)

tops-fmri/README.md ADDED
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+ # tops-fmri — public support data
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+
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+ Public-side data for BrainPilotBench task
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+ [`tasks/tops-fmri`](https://github.com/NeuroAIHub/BrainPilotBench/tree/main/tasks/tops-fmri).
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+
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+ Held-out evaluation features + labels live in the gated companion dataset
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+ [`BrainPilot-Bench/Tasks-Data-Private`](https://huggingface.co/datasets/BrainPilot-Bench/Tasks-Data-Private)
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+ and never appear here.
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+
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+ ## Files
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+
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+ | File | Contents | Size |
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+ |---|---|---|
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+ | `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 |
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+ | `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 |
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+
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+ Both files are pinned by sha256 in the task's `data.lock`; the agent's
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+ `env/setup.sh` untars `public_support.tar.zst` into the workspace next to
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+ `study3_train.mat`.
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+
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+ ## Task summary
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+
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+ Train a linear tonic-pain functional-connectivity signature on Study3, submit
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+ weights + a numpy-only `apply_signature.py`; the benchmark scorer runs it
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+ against the private Study4/Study5 features and computes r / AUC. See the
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+ task README in the main repo for the full contract.
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+
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+ ## Provenance & license
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+
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+ Study3 comes from the ToPS tonic-pain fMRI project. License Apache-2.0
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+ (see repo `LICENSE`).
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