Clean up README - single cc-by-4.0 license

README.md

@@ -1,3 +1,6 @@
+---
+license: cc-by-4.0
+---
 # Annoy: This should be a paper Title
 
 <p align="left">
@@ -60,4 +63,8 @@ Please also check the raw data after our processing if you are interested: [mm-t
 
 While having full executable code theoretically allows us to generate reliable execution trajectories as responses, two challenges arise: 1) Obtaining a deterministic reverse function for input prediction is impractical; 2) Automatically constructed trajectories are constrained by pre-designed templates and lack the expressiveness and generalizability of free-form natural language reasoning. Thus, we adopt a fully LLM-based approach for synthesizing all the desired responses using DeepSeek-V2.5, as it has top-tier performance but extremely low cost compared to other advanced LLMs.
 
-*Due to our collaborators' compliance requirements, we only release the PythonEdu-Rs subset (this page) of full dataset.
+*Due to our collaborators' compliance requirements, we only release the PythonEdu-Rs subset (this page) of full dataset.
+
+**License**
+
+The license for this dataset is cc-by-4.0.