Update README: Enhance Full Evaluation Results description and add R-Bench-Math

README.md

@@ -167,7 +167,7 @@ To validate the effectiveness of our L0-L3 hierarchical framework, we conducted
 
 ### Full Evaluation Results
 
-We used a single dataset for independent training to directly compare the effects of different data sources:
+To compare against existing public mathematical pre-training datasets, we trained models independently on each dataset using the same model architecture and training budget (~100B tokens). The baselines include [Nemotron-CC-Math](https://huggingface.co/datasets/nvidia/Nemotron-CC-Math-v1), [MegaMath-Web-Pro](https://huggingface.co/datasets/LLM360/MegaMath), and [FineMath](https://huggingface.co/datasets/HuggingFaceTB/finemath). All models are evaluated under identical conditions for a fair comparison:
 
 | Model | Average | MMLU | MMLU-STEM | Math | GSM8K | MBPP | HumanEval | R-Bench-Math | Math-Bench |
 |:---|:---:|:---:|:---:|:---:|:---:|:---:|:---:|:---:|:---:|