Update src/tasks_content.py

src/tasks_content.py

@@ -91,7 +91,7 @@ TASKS_DESCRIPTIONS = {
         The model is required to generate such description, given the relevant context code and the intent behind the documentation.
 
         We use a novel metric for evaluation:
-        * `CompScore`: a new metric proposed for this task. More details on how it is calculated can be found in [our baselines repository](https://github.com/JetBrains-Research/lca-baselines/blob/main/module_summarization/README.md).
+        * `CompScore`: the new metric based on LLM as an assessor proposed for this task. Our approach involves feeding the LLM with relevant code and two versions of documentation: the ground truth and the model-generated text. More details on how it is calculated can be found in [our baselines repository](https://github.com/JetBrains-Research/lca-baselines/blob/main/module_summarization/README.md).
 
         For further details on the dataset and the baselines from the 🏟️ Long Code Arena team, refer to the `module_summarization` directory in [our baselines repository](https://github.com/JetBrains-Research/lca-baselines/blob/main/module_summarization/).
         """,