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@@ -140,9 +140,9 @@
                 Similar to the <a href="https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard" target="_blank">🤗 Open LLM Leaderboard</a>, 
                 we selected two common benchmarks for evaluating Code LLMs on multiple programming languages:</p> -->
         <ul>
-            <li><a href="https://huggingface.co/datasets/openai_humaneval" target="_blank">HumanEval</a>: Used to measure the functional correctness of programs generated from docstrings. It includes 164 Python programming problems.
+            <li><a href="https://huggingface.co/datasets/openai_humaneval" target="_blank">HumanEval</a>:&ensp;Used to measure the functional correctness of programs generated from docstrings. It includes 164 Python programming problems.
             </li>
-            <li><a href="https://github.com/YihongDong/CodeGenEvaluation" target="_blank">HumanEval-ET</a>: The extended version of HumanEval benchmark, where each task includes more than 100 test cases.
+            <li><a href="https://github.com/YihongDong/CodeGenEvaluation" target="_blank">HumanEval-ET</a>:&ensp;The extended version of HumanEval benchmark, where each task includes more than 100 test cases.
             </li>
         </ul>
         <p>