Add question-answering tag

This PR improves the model card by ensuring people can find the model at https://huggingface.co/models?pipeline_tag=question-answering&sort=trending.

README.md

@@ -1,8 +1,9 @@
 ---
-library_name: transformers
-license: apache-2.0
 base_model:
 - Qwen/Qwen2.5-Math-1.5B
+library_name: transformers
+license: apache-2.0
+pipeline_tag: question-answering
 ---
 
 # Qwen2.5-Math-1.5B-Oat-Zero
@@ -33,17 +34,24 @@ import vllm
 
 def apply_qwen_math_template(question: str):
     return (
-        "<|im_start|>system\nPlease reason step by step, and put your final answer within \\boxed{}.<|im_end|>\n<|im_start|>user\n"
+        "<|im_start|>system
+Please reason step by step, and put your final answer within \\boxed{}.<|im_end|>
+<|im_start|>user
+"
         + question
-        + "<|im_end|>\n<|im_start|>assistant\n"
+        + "<|im_end|>
+<|im_start|>assistant
+"
     )
 
 def apply_r1_template(question: str):
     return (
         "A conversation between User and Assistant. The User asks a question, and the Assistant solves it. The Assistant first thinks about the reasoning process in the mind and then provides the User with the answer. "
-        "The reasoning process is enclosed within <think> </think> and answer is enclosed within <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>.\nUser: "
+        "The reasoning process is enclosed within <think> </think> and answer is enclosed within <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>.
+User: "
         + question
-        + "\nAssistant: <think>"
+        + "
+Assistant: <think>"
     )
 
 model_name = "sail/Qwen2.5-Math-1.5B-Oat-Zero"
@@ -85,4 +93,4 @@ print(outputs)
   year={2025},
   howpublished={\url{https://github.com/sail-sg/understand-r1-zero}},
 }
-```
+```