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README.md

@@ -2,7 +2,6 @@
 license: other
 task_categories:
 - robotics
-- time-series-classification
 tags:
 - imu
 - emg
@@ -22,28 +21,23 @@ Every record includes a physics score, tier, and which laws passed or failed.
 
 **First physics audit of Open-X Embodiment (RoboTurk) ever published.**
 
-## What Is S2S
-
-S2S applies 11 biomechanical physics laws to every sensor window — F=ma coupling, rigid-body kinematics, jerk bounds, Hurst persistence. No ML. No training. Equations true since Newton.
-
 ## Contents
 
 | File | Dataset | Episodes | Windows |
 |------|---------|----------|---------|
 | roboturk_audit.json | RoboTurk (Open-X, Stanford) | 216 | 1,143 |
 | ninapro_audit.json | NinaPro DB5 (2000Hz forearm EMG) | 10 subjects | 9,552 |
-| nyu_rot_audit.json | NYU Rotation (Open-X) | 14 | 16 |
 
 ## Key Findings
 
-**RoboTurk (human teleoperation):**
+**RoboTurk — 216 human-teleoperated episodes:**
 - 78.1% pass rate (GOLD+SILVER)
 - Top failing law: `imu_internal_consistency` 32.4%
-- Finding: commanded rotation ≠ real gyroscope in smartphone teleoperation
+- Finding: commanded rotation ≠ real gyroscope in smartphone teleoperation interface
 
-**NinaPro DB5 (real human IMU):**
-- 100% SILVER — all subjects certified as biological
-- Hurst H = 0.60–0.79 across all subjects
+**NinaPro DB5 — real human IMU 2000Hz:**
+- 100% SILVER — all 10 subjects certified biological
+- Hurst H = 0.60–0.79
 
 ## Reproduce
 ```bash
@@ -53,5 +47,5 @@ cd S2S && python3 certify_roboturk.py
 ```
 
 ## Citation
-DOI: 10.5281/zenodo.18878307
+DOI: [10.5281/zenodo.18878307](https://doi.org/10.5281/zenodo.18878307)
 GitHub: https://github.com/timbo4u1/S2S