Update README.md

README.md

@@ -39,7 +39,7 @@ The input for baseline testing meets the following format:
 ```python
 根据案情描述和已有步骤仅给出一个推理。如果是结论则直接输出<e></e>，例如<e>盗窃罪</e>。如果是步骤则直接输出<p></p>，例如<p>步骤1：…</p>\n案情描述:{inputs}\n已有推理步骤：\n{steps}\n
 ```
-In this regard, we have provided a simple processing method in the ‘\code’:
+In this regard, we have provided a simple processing method in the '\code':
 ```python
 from main import get_args
 from utils.warp import WarpLJP
@@ -60,7 +60,7 @@ sh train.sh
 ```
 The reward model in inference can be loaded by adding --reward_model_path to the command.
 
-The evaluation script is located in "code/utils/matrix". We employ micro-F1 and macro-F1 as fundamental evaluation metrics. The model's output adheres to the following format:
+The evaluation script is located in 'code/utils/matrix'. We employ micro-F1 and macro-F1 as fundamental evaluation metrics. The model's output adheres to the following format:
 ```python
 {"x": "被告人史某...", "y": "<e>盗窃罪</e>", "pred": "<e>盗窃罪</e>"}
 ```