Refine PACE-Bench dataset card

README.md

@@ -36,7 +36,6 @@ source_datasets: []
 <summary>Mirror provenance</summary>
 
 - Source: [`src/pace_bench/tasks/categories`](https://github.com/thunlp/PACE-Bench/tree/main/src/pace_bench/tasks/categories)
-- Mirrored source commit: [`eeab7d6`](https://github.com/yuhao-zhan/PACE-Bench/commit/eeab7d6b5233468c10f8bb094fe77fb90575af74)
 - Included: 36 base tasks and `primitives_api.json`
 - Excluded: shared runtime, evaluation methods, generated results, caches, and local artifacts
 
@@ -44,7 +43,7 @@ source_datasets: []
 
 # PACE-Bench
 
-**PACE-Bench: Benchmarking Physics Adaptation via Code Evolution in Dynamic Environments** evaluates whether an agent can adapt an executable physical design after its environment changes.
+Self-evolving agents improve future behavior from interaction experience, yet existing evaluations typically keep execution conditions fixed. **PACE-Bench** tests whether an agent can adapt a previously successful code-driven design after an environment shift causes it to fail.
 
 [![GitHub](https://img.shields.io/badge/GitHub-Code-181717?logo=github)](https://github.com/thunlp/PACE-Bench)
 [![License](https://img.shields.io/badge/License-MIT-blue.svg)](https://github.com/thunlp/PACE-Bench/blob/main/LICENSE)
@@ -156,6 +155,7 @@ The GitHub checkout already contains the same task definitions. You do **not** n
 - **Language:** English prompts and diagnostic feedback
 - **Not covered:** 3D/deformable physics, full fluids, perception, navigation, and multi-agent coordination
 - **Execution safety:** run generated code on a dedicated evaluator host without unrelated credentials
+- **Version note:** these tasks include an additional difficulty-escalation pass beyond the paper version, so new scores may differ slightly while its conclusions remain unchanged
 
 ## Issues and contributions