Remove limitations and responsible use section

README.md

@@ -128,15 +128,6 @@ The dataset is intended for research on:
 - Synthetic-data methods for XR motion research
 - Robustness and generalization studies for motion-based machine-learning systems
 
-## Limitations and Responsible Use
-
-- The data are synthetic and derived from participant pairs in FAST. Results on this dataset may not generalize to motion from real individuals, other XR applications, other tracking systems, or other populations.
-- The dataset contains only the two FAST assembly conditions represented by `FAB_A` and `FAB_B`.
-- The `Female` and `Male` folders reflect the categories used when constructing this release. They should not be treated as a complete representation of gender.
-- Synthetic data can preserve characteristics of its source data. The mapping file exposes the pseudonymous FAST participant IDs used for each synthetic identity.
-- Motion-based identification is a biometric application. Researchers should consider privacy, consent, misuse, surveillance risk, demographic bias, and the consequences of false identification.
-- This dataset should not be used to identify real people, make high-stakes decisions, or infer sensitive attributes.
-
 ## Source Dataset
 
 This dataset is derived from participants in the **Full-scale Assembly Simulation Testbed (FAST) Dataset**, which contains VR tracking and interaction data from people learning to assemble two full-scale structures.