Add Github repo link and task category.

README.md

@@ -1,16 +1,20 @@
 ---
 license: mit
+task_categories:
+- reinforcement-learning
 configs:
-  - config_name: Difficulty Score
-    data_files: Qwen2.5-Math-7B--orz--difficulty.csv
-  - config_name: Response
-    data_files: Qwen2.5-Math-7B--orz.csv
+- config_name: Difficulty Score
+  data_files: Qwen2.5-Math-7B--orz--difficulty.csv
+- config_name: Response
+  data_files: Qwen2.5-Math-7B--orz.csv
 ---
 
 ## Difficulty Estimation on Open Reasoner Zero
 We annotate the entire [**Open Reasoner Zero**]((https://huggingface.co/Open-Reasoner-Zero/Open-Reasoner-Zero-7B)) dataset with a **difficulty score** based on the performance of the [Qwen 2.5-MATH-7B](https://huggingface.co/Qwen/Qwen2.5-Math-7B) model. This provides an adaptive signal for curriculum construction.
 Open Reasoner Zero is a curated a dataset of 57,000 reasoning-intensive problems used to train and evaluate reinforcement learning-based methods for large language models.
 
+Github: https://github.com/uscnlp-lime/verl
+
 ## Difficulty Scoring Method
 
 Difficulty scores are estimated using the **Qwen 2.5-MATH-7B** model with the following generation settings: