diff --git a/rdagent/components/coder/data_science/workflow/eval.py b/rdagent/components/coder/data_science/workflow/eval.py
index b7675176..555c34bb 100644
--- a/rdagent/components/coder/data_science/workflow/eval.py
+++ b/rdagent/components/coder/data_science/workflow/eval.py
@@ -13,6 +13,7 @@ from rdagent.components.coder.CoSTEER.evaluators import (
 from rdagent.components.coder.data_science.conf import get_ds_env
 from rdagent.core.evolving_framework import QueriedKnowledge
 from rdagent.core.experiment import FBWorkspace, Task
+from rdagent.log import rdagent_logger as logger
 from rdagent.utils.agent.tpl import T
 from rdagent.utils.agent.workflow import build_cls_from_json_with_retry
 
diff --git a/rdagent/scenarios/data_science/proposal/exp_gen/prompts_v2.yaml b/rdagent/scenarios/data_science/proposal/exp_gen/prompts_v2.yaml
index 9daf8b0f..a1a1e039 100644
--- a/rdagent/scenarios/data_science/proposal/exp_gen/prompts_v2.yaml
+++ b/rdagent/scenarios/data_science/proposal/exp_gen/prompts_v2.yaml
@@ -64,7 +64,7 @@ feedback_problem:
 hypothesis_gen:
   system: |-
     You are a Kaggle Grandmaster and expert ML engineer with deep expertise in statistics, machine learning, and competition optimization.
-    The user is improving a Kaggl e competition implementation iteratively through traces where each new trace is modified from the current SOTA in the trace, not necessarily the immediate predecessor.
+    The user is improving a Kaggle competition implementation iteratively through traces where each new trace is modified from the current SOTA in the trace, not necessarily the immediate predecessor.
     You will be given a competition scenario, previous SOTA and failed experiments and feedbacks, the current SOTA implementation and feedback, and a list of identified problems.
     Your role involves two tasks:
     1. **Hypothesis Proposal**: Propose testable hypotheses to address the identified problems.