Prior-guided TCN fusion — dataset (5 sessions, 1000 Hz) & minimal checkpoints (review v0.1)

Curated dataset (5 sessions, 1000 Hz) and minimal checkpoints to reproduce Tables/Figures in our submission. Contents: • data/11..15/aligned_full_data_linear_XX.csv (synchronized time series at 1000 Hz) • checkpoints/std_heads_run_20250921_1919_best.pt (minimal inference checkpoint) • DATA_DICT.md (column dictionary, units, preprocessing & evaluation notes) • CHECKSUMS.txt (SHA-256 for integrity) Columns (see DATA_DICT.md for details): ANG (deg, GT from high-speed imaging + markers), Flex_Angle (deg), IMU_Angle (deg), Proximal_{Acc, Gyro, Ang}{X,Y,Z}, Middle_{Acc, Gyro, Ang}{X,Y,Z}. Sampling rate: 1000 Hz. No NaNs. How to use: 1) Download this Dataset item and place under project root: data/11..15/*.csv checkpoints/std_heads_run_20250921_1919_best.pt 2) Verify integrity: macOS/Linux: shasum -a 256 -c CHECKSUMS.txt Windows (PS): see command in DATA_DICT.md 3) Run the software item: python metrics.py --config config.yaml \ --ckpt_ours checkpoints/std_heads_run_20250921_1919_best.pt \ --gate --trim-head-ms 1000 --trim-tail-ms 1000 License: • Data & checkpoints: CC BY-NC 4.0 (non-commercial, with attribution) • Code is released separately under Apache-2.0 in the Software item