diff --git a/community_tasks/_template.py b/community_tasks/_template.py
index d0099ba26..2db28e340 100644
--- a/community_tasks/_template.py
+++ b/community_tasks/_template.py
@@ -116,10 +116,3 @@ def __init__(
     sample_level_fn=lambda x: x,  # how to compute score for one sample
     corpus_level_fn=np.mean,  # aggregation
 )
-
-# MODULE LOGIC
-# You should not need to touch this
-# Convert to dict for lighteval
-if __name__ == "__main__":
-    print(t.name for t in TASKS_TABLE)
-    print(len(TASKS_TABLE))
diff --git a/community_tasks/aimo_evals.py b/community_tasks/aimo_evals.py
index be59950bd..885ffd8da 100644
--- a/community_tasks/aimo_evals.py
+++ b/community_tasks/aimo_evals.py
@@ -56,11 +56,3 @@ def aimo_prompt(line, task_name: str = None):
 
 # STORE YOUR EVALS
 TASKS_TABLE = [task]
-
-
-# MODULE LOGIC
-# You should not need to touch this
-
-if __name__ == "__main__":
-    print(t.name for t in TASKS_TABLE)
-    print(len(TASKS_TABLE))
diff --git a/community_tasks/arabic_evals.py b/community_tasks/arabic_evals.py
index 07a096eca..4408f22fa 100644
--- a/community_tasks/arabic_evals.py
+++ b/community_tasks/arabic_evals.py
@@ -856,7 +856,3 @@ def __init__(
     + [toxigen_ar_task]
     + [sciq_ar_task]
 )
-
-if __name__ == "__main__":
-    print(t.name for t in TASKS_TABLE)
-    print(len(TASKS_TABLE))
diff --git a/community_tasks/german_rag_evals.py b/community_tasks/german_rag_evals.py
index 30d6dcb4a..78af6794e 100644
--- a/community_tasks/german_rag_evals.py
+++ b/community_tasks/german_rag_evals.py
@@ -221,11 +221,3 @@ def prompt_fn_context_question_match(line, task_name: str = None):
 
 # STORE YOUR EVALS
 TASKS_TABLE = [task1, task2, task3, task4]
-
-
-# MODULE LOGIC
-# You should not need to touch this
-
-if __name__ == "__main__":
-    print(t.name for t in TASKS_TABLE)
-    print(len(TASKS_TABLE))
diff --git a/community_tasks/oz_evals.py b/community_tasks/oz_evals.py
index 6252a20a0..4ec70e291 100644
--- a/community_tasks/oz_evals.py
+++ b/community_tasks/oz_evals.py
@@ -87,8 +87,3 @@ def prompt_fn_oz_eval_task(line, task_name: str = None):
 
 # STORE YOUR EVALS
 TASKS_TABLE = [oz_eval_task]
-
-
-if __name__ == "__main__":
-    print(t["name"] for t in TASKS_TABLE)
-    print(len(TASKS_TABLE))
diff --git a/community_tasks/serbian_eval.py b/community_tasks/serbian_eval.py
index 3b49c4cb0..d972ac69c 100644
--- a/community_tasks/serbian_eval.py
+++ b/community_tasks/serbian_eval.py
@@ -784,7 +784,3 @@ def create_task_config(
     mmlu_world_religions,
     mmlu_all,
 ]
-
-if __name__ == "__main__":
-    print(t.name for t in TASKS_TABLE)
-    print(len(TASKS_TABLE))
diff --git a/docs/source/adding-a-custom-task.mdx b/docs/source/adding-a-custom-task.mdx
index e1823b7b9..e5160024d 100644
--- a/docs/source/adding-a-custom-task.mdx
+++ b/docs/source/adding-a-custom-task.mdx
@@ -167,17 +167,6 @@ TASKS_TABLE = SUBSET_TASKS
 # TASKS_TABLE = [task]
 ```
 
-Finally, you need to add a module logic to convert your task to a dict for lighteval.
-
-```python
-# MODULE LOGIC
-# You should not need to touch this
-# Convert to dict for lighteval
-if __name__ == "__main__":
-    print(t.name for t in TASKS_TABLE)
-    print(len(TASKS_TABLE))
-```
-
 Once your file is created you can then run the evaluation with the following command:
 
 ```bash
diff --git a/examples/nanotron/custom_evaluation_tasks.py b/examples/nanotron/custom_evaluation_tasks.py
index 78c354916..e4b1b5ca6 100644
--- a/examples/nanotron/custom_evaluation_tasks.py
+++ b/examples/nanotron/custom_evaluation_tasks.py
@@ -671,7 +671,3 @@ def __init__(
     "all": ",".join(t[1] for t in _TASKS_STRINGS),
     "early-signal": EARLY_SIGNAL_TASKS,
 }
-
-if __name__ == "__main__":
-    print(t["name"] for t in TASKS_TABLE)
-    print(len(TASKS_TABLE))
diff --git a/src/lighteval/main_accelerate.py b/src/lighteval/main_accelerate.py
index 3454a223b..a0a01abe8 100644
--- a/src/lighteval/main_accelerate.py
+++ b/src/lighteval/main_accelerate.py
@@ -33,10 +33,10 @@
 TOKEN = os.getenv("HF_TOKEN")
 CACHE_DIR: str = os.getenv("HF_HOME", "/scratch")
 
-HELP_PANNEL_NAME_1 = "Common Paramaters"
-HELP_PANNEL_NAME_2 = "Logging Parameters"
-HELP_PANNEL_NAME_3 = "Debug Paramaters"
-HELP_PANNEL_NAME_4 = "Modeling Paramaters"
+HELP_PANEL_NAME_1 = "Common Parameters"
+HELP_PANEL_NAME_2 = "Logging Parameters"
+HELP_PANEL_NAME_3 = "Debug Parameters"
+HELP_PANEL_NAME_4 = "Modeling Parameters"
 
 
 def accelerate(  # noqa C901
@@ -50,51 +50,51 @@ def accelerate(  # noqa C901
     tasks: Annotated[str, Argument(help="Comma-separated list of tasks to evaluate on.")],
     # === Common parameters ===
     use_chat_template: Annotated[
-        bool, Option(help="Use chat template for evaluation.", rich_help_panel=HELP_PANNEL_NAME_4)
+        bool, Option(help="Use chat template for evaluation.", rich_help_panel=HELP_PANEL_NAME_4)
     ] = False,
     system_prompt: Annotated[
-        Optional[str], Option(help="Use system prompt for evaluation.", rich_help_panel=HELP_PANNEL_NAME_4)
+        Optional[str], Option(help="Use system prompt for evaluation.", rich_help_panel=HELP_PANEL_NAME_4)
     ] = None,
     dataset_loading_processes: Annotated[
-        int, Option(help="Number of processes to use for dataset loading.", rich_help_panel=HELP_PANNEL_NAME_1)
+        int, Option(help="Number of processes to use for dataset loading.", rich_help_panel=HELP_PANEL_NAME_1)
     ] = 1,
     custom_tasks: Annotated[
-        Optional[str], Option(help="Path to custom tasks directory.", rich_help_panel=HELP_PANNEL_NAME_1)
+        Optional[str], Option(help="Path to custom tasks directory.", rich_help_panel=HELP_PANEL_NAME_1)
     ] = None,
     cache_dir: Annotated[
-        Optional[str], Option(help="Cache directory for datasets and models.", rich_help_panel=HELP_PANNEL_NAME_1)
+        Optional[str], Option(help="Cache directory for datasets and models.", rich_help_panel=HELP_PANEL_NAME_1)
     ] = None,
     num_fewshot_seeds: Annotated[
-        int, Option(help="Number of seeds to use for few-shot evaluation.", rich_help_panel=HELP_PANNEL_NAME_1)
+        int, Option(help="Number of seeds to use for few-shot evaluation.", rich_help_panel=HELP_PANEL_NAME_1)
     ] = 1,
     # === saving ===
     output_dir: Annotated[
-        str, Option(help="Output directory for evaluation results.", rich_help_panel=HELP_PANNEL_NAME_2)
+        str, Option(help="Output directory for evaluation results.", rich_help_panel=HELP_PANEL_NAME_2)
     ] = "results",
     push_to_hub: Annotated[
-        bool, Option(help="Push results to the huggingface hub.", rich_help_panel=HELP_PANNEL_NAME_2)
+        bool, Option(help="Push results to the huggingface hub.", rich_help_panel=HELP_PANEL_NAME_2)
     ] = False,
     push_to_tensorboard: Annotated[
-        bool, Option(help="Push results to tensorboard.", rich_help_panel=HELP_PANNEL_NAME_2)
+        bool, Option(help="Push results to tensorboard.", rich_help_panel=HELP_PANEL_NAME_2)
     ] = False,
     public_run: Annotated[
-        bool, Option(help="Push results and details to a public repo.", rich_help_panel=HELP_PANNEL_NAME_2)
+        bool, Option(help="Push results and details to a public repo.", rich_help_panel=HELP_PANEL_NAME_2)
     ] = False,
     results_org: Annotated[
-        Optional[str], Option(help="Organization to push results to.", rich_help_panel=HELP_PANNEL_NAME_2)
+        Optional[str], Option(help="Organization to push results to.", rich_help_panel=HELP_PANEL_NAME_2)
     ] = None,
     save_details: Annotated[
-        bool, Option(help="Save detailed, sample per sample, results.", rich_help_panel=HELP_PANNEL_NAME_2)
+        bool, Option(help="Save detailed, sample per sample, results.", rich_help_panel=HELP_PANEL_NAME_2)
     ] = False,
     # === debug ===
     max_samples: Annotated[
-        Optional[int], Option(help="Maximum number of samples to evaluate on.", rich_help_panel=HELP_PANNEL_NAME_3)
+        Optional[int], Option(help="Maximum number of samples to evaluate on.", rich_help_panel=HELP_PANEL_NAME_3)
     ] = None,
     override_batch_size: Annotated[
-        int, Option(help="Override batch size for evaluation.", rich_help_panel=HELP_PANNEL_NAME_3)
+        int, Option(help="Override batch size for evaluation.", rich_help_panel=HELP_PANEL_NAME_3)
     ] = -1,
     job_id: Annotated[
-        int, Option(help="Optional job id for future refenrence.", rich_help_panel=HELP_PANNEL_NAME_3)
+        int, Option(help="Optional job id for future reference.", rich_help_panel=HELP_PANEL_NAME_3)
     ] = 0,
 ):
     """
diff --git a/src/lighteval/main_baseline.py b/src/lighteval/main_baseline.py
index dd4786679..2dd970ea8 100644
--- a/src/lighteval/main_baseline.py
+++ b/src/lighteval/main_baseline.py
@@ -30,28 +30,28 @@
 
 CACHE_DIR: str = os.getenv("HF_HOME", "/scratch")
 
-HELP_PANNEL_NAME_1 = "Common Paramaters"
-HELP_PANNEL_NAME_2 = "Logging Parameters"
-HELP_PANNEL_NAME_3 = "Debug Paramaters"
-HELP_PANNEL_NAME_4 = "Modeling Paramaters"
+HELP_PANEL_NAME_1 = "Common Parameters"
+HELP_PANEL_NAME_2 = "Logging Parameters"
+HELP_PANEL_NAME_3 = "Debug Parameters"
+HELP_PANEL_NAME_4 = "Modeling Parameters"
 
 
 def baseline(
     tasks: Annotated[str, Argument(help="Comma-separated list of tasks to evaluate on.")],
     cache_dir: Annotated[
-        str, Option(help="Cache directory for datasets and models.", rich_help_panel=HELP_PANNEL_NAME_1)
+        str, Option(help="Cache directory for datasets and models.", rich_help_panel=HELP_PANEL_NAME_1)
     ] = CACHE_DIR,
     custom_tasks: Annotated[
-        Optional[str], Option(help="Path to custom tasks directory.", rich_help_panel=HELP_PANNEL_NAME_1)
+        Optional[str], Option(help="Path to custom tasks directory.", rich_help_panel=HELP_PANEL_NAME_1)
     ] = None,
     dataset_loading_processes: Annotated[
-        int, Option(help="Number of processes to use for dataset loading.", rich_help_panel=HELP_PANNEL_NAME_1)
+        int, Option(help="Number of processes to use for dataset loading.", rich_help_panel=HELP_PANEL_NAME_1)
     ] = 1,
     output_dir: Annotated[
-        str, Option(help="Output directory for evaluation results.", rich_help_panel=HELP_PANNEL_NAME_2)
+        str, Option(help="Output directory for evaluation results.", rich_help_panel=HELP_PANEL_NAME_2)
     ] = "results",
     max_samples: Annotated[
-        Optional[int], Option(help="Maximum number of samples to evaluate on.", rich_help_panel=HELP_PANNEL_NAME_3)
+        Optional[int], Option(help="Maximum number of samples to evaluate on.", rich_help_panel=HELP_PANEL_NAME_3)
     ] = None,
 ):
     """
diff --git a/src/lighteval/main_endpoint.py b/src/lighteval/main_endpoint.py
index be75b711a..208cc8386 100644
--- a/src/lighteval/main_endpoint.py
+++ b/src/lighteval/main_endpoint.py
@@ -33,10 +33,10 @@
 TOKEN = os.getenv("HF_TOKEN")
 CACHE_DIR: str = os.getenv("HF_HOME", "/scratch")
 
-HELP_PANNEL_NAME_1 = "Common Paramaters"
-HELP_PANNEL_NAME_2 = "Logging Parameters"
-HELP_PANNEL_NAME_3 = "Debug Paramaters"
-HELP_PANNEL_NAME_4 = "Modeling Paramaters"
+HELP_PANEL_NAME_1 = "Common Parameters"
+HELP_PANEL_NAME_2 = "Logging Parameters"
+HELP_PANEL_NAME_3 = "Debug Parameters"
+HELP_PANEL_NAME_4 = "Modeling Parameters"
 
 
 @app.command(rich_help_panel="Evaluation Backends")
@@ -48,45 +48,45 @@ def openai(
     tasks: Annotated[str, Argument(help="Comma-separated list of tasks to evaluate on.")],
     # === Common parameters ===
     system_prompt: Annotated[
-        Optional[str], Option(help="Use system prompt for evaluation.", rich_help_panel=HELP_PANNEL_NAME_4)
+        Optional[str], Option(help="Use system prompt for evaluation.", rich_help_panel=HELP_PANEL_NAME_4)
     ] = None,
     dataset_loading_processes: Annotated[
-        int, Option(help="Number of processes to use for dataset loading.", rich_help_panel=HELP_PANNEL_NAME_1)
+        int, Option(help="Number of processes to use for dataset loading.", rich_help_panel=HELP_PANEL_NAME_1)
     ] = 1,
     custom_tasks: Annotated[
-        Optional[str], Option(help="Path to custom tasks directory.", rich_help_panel=HELP_PANNEL_NAME_1)
+        Optional[str], Option(help="Path to custom tasks directory.", rich_help_panel=HELP_PANEL_NAME_1)
     ] = None,
     cache_dir: Annotated[
-        str, Option(help="Cache directory for datasets and models.", rich_help_panel=HELP_PANNEL_NAME_1)
+        str, Option(help="Cache directory for datasets and models.", rich_help_panel=HELP_PANEL_NAME_1)
     ] = CACHE_DIR,
     num_fewshot_seeds: Annotated[
-        int, Option(help="Number of seeds to use for few-shot evaluation.", rich_help_panel=HELP_PANNEL_NAME_1)
+        int, Option(help="Number of seeds to use for few-shot evaluation.", rich_help_panel=HELP_PANEL_NAME_1)
     ] = 1,
     # === saving ===
     output_dir: Annotated[
-        str, Option(help="Output directory for evaluation results.", rich_help_panel=HELP_PANNEL_NAME_2)
+        str, Option(help="Output directory for evaluation results.", rich_help_panel=HELP_PANEL_NAME_2)
     ] = "results",
     push_to_hub: Annotated[
-        bool, Option(help="Push results to the huggingface hub.", rich_help_panel=HELP_PANNEL_NAME_2)
+        bool, Option(help="Push results to the huggingface hub.", rich_help_panel=HELP_PANEL_NAME_2)
     ] = False,
     push_to_tensorboard: Annotated[
-        bool, Option(help="Push results to tensorboard.", rich_help_panel=HELP_PANNEL_NAME_2)
+        bool, Option(help="Push results to tensorboard.", rich_help_panel=HELP_PANEL_NAME_2)
     ] = False,
     public_run: Annotated[
-        bool, Option(help="Push results and details to a public repo.", rich_help_panel=HELP_PANNEL_NAME_2)
+        bool, Option(help="Push results and details to a public repo.", rich_help_panel=HELP_PANEL_NAME_2)
     ] = False,
     results_org: Annotated[
-        Optional[str], Option(help="Organization to push results to.", rich_help_panel=HELP_PANNEL_NAME_2)
+        Optional[str], Option(help="Organization to push results to.", rich_help_panel=HELP_PANEL_NAME_2)
     ] = None,
     save_details: Annotated[
-        bool, Option(help="Save detailed, sample per sample, results.", rich_help_panel=HELP_PANNEL_NAME_2)
+        bool, Option(help="Save detailed, sample per sample, results.", rich_help_panel=HELP_PANEL_NAME_2)
     ] = False,
     # === debug ===
     max_samples: Annotated[
-        Optional[int], Option(help="Maximum number of samples to evaluate on.", rich_help_panel=HELP_PANNEL_NAME_3)
+        Optional[int], Option(help="Maximum number of samples to evaluate on.", rich_help_panel=HELP_PANEL_NAME_3)
     ] = None,
     job_id: Annotated[
-        int, Option(help="Optional job id for future refenrence.", rich_help_panel=HELP_PANNEL_NAME_3)
+        int, Option(help="Optional job id for future reference.", rich_help_panel=HELP_PANEL_NAME_3)
     ] = 0,
 ):
     """
@@ -148,51 +148,51 @@ def inference_endpoint(
     tasks: Annotated[str, Argument(help="Comma-separated list of tasks to evaluate on.")],
     # === Common parameters ===
     use_chat_template: Annotated[
-        bool, Option(help="Use chat template for evaluation.", rich_help_panel=HELP_PANNEL_NAME_4)
+        bool, Option(help="Use chat template for evaluation.", rich_help_panel=HELP_PANEL_NAME_4)
     ] = False,
     system_prompt: Annotated[
-        Optional[str], Option(help="Use system prompt for evaluation.", rich_help_panel=HELP_PANNEL_NAME_4)
+        Optional[str], Option(help="Use system prompt for evaluation.", rich_help_panel=HELP_PANEL_NAME_4)
     ] = None,
     dataset_loading_processes: Annotated[
-        int, Option(help="Number of processes to use for dataset loading.", rich_help_panel=HELP_PANNEL_NAME_1)
+        int, Option(help="Number of processes to use for dataset loading.", rich_help_panel=HELP_PANEL_NAME_1)
     ] = 1,
     custom_tasks: Annotated[
-        Optional[str], Option(help="Path to custom tasks directory.", rich_help_panel=HELP_PANNEL_NAME_1)
+        Optional[str], Option(help="Path to custom tasks directory.", rich_help_panel=HELP_PANEL_NAME_1)
     ] = None,
     cache_dir: Annotated[
-        str, Option(help="Cache directory for datasets and models.", rich_help_panel=HELP_PANNEL_NAME_1)
+        str, Option(help="Cache directory for datasets and models.", rich_help_panel=HELP_PANEL_NAME_1)
     ] = CACHE_DIR,
     num_fewshot_seeds: Annotated[
-        int, Option(help="Number of seeds to use for few-shot evaluation.", rich_help_panel=HELP_PANNEL_NAME_1)
+        int, Option(help="Number of seeds to use for few-shot evaluation.", rich_help_panel=HELP_PANEL_NAME_1)
     ] = 1,
     # === saving ===
     output_dir: Annotated[
-        str, Option(help="Output directory for evaluation results.", rich_help_panel=HELP_PANNEL_NAME_2)
+        str, Option(help="Output directory for evaluation results.", rich_help_panel=HELP_PANEL_NAME_2)
     ] = "results",
     push_to_hub: Annotated[
-        bool, Option(help="Push results to the huggingface hub.", rich_help_panel=HELP_PANNEL_NAME_2)
+        bool, Option(help="Push results to the huggingface hub.", rich_help_panel=HELP_PANEL_NAME_2)
     ] = False,
     push_to_tensorboard: Annotated[
-        bool, Option(help="Push results to tensorboard.", rich_help_panel=HELP_PANNEL_NAME_2)
+        bool, Option(help="Push results to tensorboard.", rich_help_panel=HELP_PANEL_NAME_2)
     ] = False,
     public_run: Annotated[
-        bool, Option(help="Push results and details to a public repo.", rich_help_panel=HELP_PANNEL_NAME_2)
+        bool, Option(help="Push results and details to a public repo.", rich_help_panel=HELP_PANEL_NAME_2)
     ] = False,
     results_org: Annotated[
-        Optional[str], Option(help="Organization to push results to.", rich_help_panel=HELP_PANNEL_NAME_2)
+        Optional[str], Option(help="Organization to push results to.", rich_help_panel=HELP_PANEL_NAME_2)
     ] = None,
     save_details: Annotated[
-        bool, Option(help="Save detailed, sample per sample, results.", rich_help_panel=HELP_PANNEL_NAME_2)
+        bool, Option(help="Save detailed, sample per sample, results.", rich_help_panel=HELP_PANEL_NAME_2)
     ] = False,
     # === debug ===
     max_samples: Annotated[
-        Optional[int], Option(help="Maximum number of samples to evaluate on.", rich_help_panel=HELP_PANNEL_NAME_3)
+        Optional[int], Option(help="Maximum number of samples to evaluate on.", rich_help_panel=HELP_PANEL_NAME_3)
     ] = None,
     override_batch_size: Annotated[
-        int, Option(help="Override batch size for evaluation.", rich_help_panel=HELP_PANNEL_NAME_3)
+        int, Option(help="Override batch size for evaluation.", rich_help_panel=HELP_PANEL_NAME_3)
     ] = None,
     job_id: Annotated[
-        int, Option(help="Optional job id for future refenrence.", rich_help_panel=HELP_PANNEL_NAME_3)
+        int, Option(help="Optional job id for future reference.", rich_help_panel=HELP_PANEL_NAME_3)
     ] = 0,
 ):
     """
@@ -264,51 +264,51 @@ def tgi(
     tasks: Annotated[str, Argument(help="Comma-separated list of tasks to evaluate on.")],
     # === Common parameters ===
     use_chat_template: Annotated[
-        bool, Option(help="Use chat template for evaluation.", rich_help_panel=HELP_PANNEL_NAME_4)
+        bool, Option(help="Use chat template for evaluation.", rich_help_panel=HELP_PANEL_NAME_4)
     ] = False,
     system_prompt: Annotated[
-        Optional[str], Option(help="Use system prompt for evaluation.", rich_help_panel=HELP_PANNEL_NAME_4)
+        Optional[str], Option(help="Use system prompt for evaluation.", rich_help_panel=HELP_PANEL_NAME_4)
     ] = None,
     dataset_loading_processes: Annotated[
-        int, Option(help="Number of processes to use for dataset loading.", rich_help_panel=HELP_PANNEL_NAME_1)
+        int, Option(help="Number of processes to use for dataset loading.", rich_help_panel=HELP_PANEL_NAME_1)
     ] = 1,
     custom_tasks: Annotated[
-        Optional[str], Option(help="Path to custom tasks directory.", rich_help_panel=HELP_PANNEL_NAME_1)
+        Optional[str], Option(help="Path to custom tasks directory.", rich_help_panel=HELP_PANEL_NAME_1)
     ] = None,
     cache_dir: Annotated[
-        str, Option(help="Cache directory for datasets and models.", rich_help_panel=HELP_PANNEL_NAME_1)
+        str, Option(help="Cache directory for datasets and models.", rich_help_panel=HELP_PANEL_NAME_1)
     ] = CACHE_DIR,
     num_fewshot_seeds: Annotated[
-        int, Option(help="Number of seeds to use for few-shot evaluation.", rich_help_panel=HELP_PANNEL_NAME_1)
+        int, Option(help="Number of seeds to use for few-shot evaluation.", rich_help_panel=HELP_PANEL_NAME_1)
     ] = 1,
     # === saving ===
     output_dir: Annotated[
-        str, Option(help="Output directory for evaluation results.", rich_help_panel=HELP_PANNEL_NAME_2)
+        str, Option(help="Output directory for evaluation results.", rich_help_panel=HELP_PANEL_NAME_2)
     ] = "results",
     push_to_hub: Annotated[
-        bool, Option(help="Push results to the huggingface hub.", rich_help_panel=HELP_PANNEL_NAME_2)
+        bool, Option(help="Push results to the huggingface hub.", rich_help_panel=HELP_PANEL_NAME_2)
     ] = False,
     push_to_tensorboard: Annotated[
-        bool, Option(help="Push results to tensorboard.", rich_help_panel=HELP_PANNEL_NAME_2)
+        bool, Option(help="Push results to tensorboard.", rich_help_panel=HELP_PANEL_NAME_2)
     ] = False,
     public_run: Annotated[
-        bool, Option(help="Push results and details to a public repo.", rich_help_panel=HELP_PANNEL_NAME_2)
+        bool, Option(help="Push results and details to a public repo.", rich_help_panel=HELP_PANEL_NAME_2)
     ] = False,
     results_org: Annotated[
-        Optional[str], Option(help="Organization to push results to.", rich_help_panel=HELP_PANNEL_NAME_2)
+        Optional[str], Option(help="Organization to push results to.", rich_help_panel=HELP_PANEL_NAME_2)
     ] = None,
     save_details: Annotated[
-        bool, Option(help="Save detailed, sample per sample, results.", rich_help_panel=HELP_PANNEL_NAME_2)
+        bool, Option(help="Save detailed, sample per sample, results.", rich_help_panel=HELP_PANEL_NAME_2)
     ] = False,
     # === debug ===
     max_samples: Annotated[
-        Optional[int], Option(help="Maximum number of samples to evaluate on.", rich_help_panel=HELP_PANNEL_NAME_3)
+        Optional[int], Option(help="Maximum number of samples to evaluate on.", rich_help_panel=HELP_PANEL_NAME_3)
     ] = None,
     override_batch_size: Annotated[
-        int, Option(help="Override batch size for evaluation.", rich_help_panel=HELP_PANNEL_NAME_3)
+        int, Option(help="Override batch size for evaluation.", rich_help_panel=HELP_PANEL_NAME_3)
     ] = -1,
     job_id: Annotated[
-        int, Option(help="Optional job id for future refenrence.", rich_help_panel=HELP_PANNEL_NAME_3)
+        int, Option(help="Optional job id for future reference.", rich_help_panel=HELP_PANEL_NAME_3)
     ] = 0,
 ):
     """
diff --git a/src/lighteval/main_nanotron.py b/src/lighteval/main_nanotron.py
index 66826122e..94004c065 100644
--- a/src/lighteval/main_nanotron.py
+++ b/src/lighteval/main_nanotron.py
@@ -29,10 +29,10 @@
 
 CACHE_DIR: str = os.getenv("HF_HOME", "/scratch")
 
-HELP_PANNEL_NAME_1 = "Common Paramaters"
-HELP_PANNEL_NAME_2 = "Logging Parameters"
-HELP_PANNEL_NAME_3 = "Debug Paramaters"
-HELP_PANNEL_NAME_4 = "Modeling Paramaters"
+HELP_PANEL_NAME_1 = "Common Parameters"
+HELP_PANEL_NAME_2 = "Logging Parameters"
+HELP_PANEL_NAME_3 = "Debug Parameters"
+HELP_PANEL_NAME_4 = "Modeling Parameters"
 
 
 SEED = 1234
diff --git a/src/lighteval/main_vllm.py b/src/lighteval/main_vllm.py
index 078000da5..28c4abdc0 100644
--- a/src/lighteval/main_vllm.py
+++ b/src/lighteval/main_vllm.py
@@ -29,10 +29,10 @@
 TOKEN = os.getenv("HF_TOKEN")
 CACHE_DIR: str = os.getenv("HF_HOME", "/scratch")
 
-HELP_PANNEL_NAME_1 = "Common Paramaters"
-HELP_PANNEL_NAME_2 = "Logging Parameters"
-HELP_PANNEL_NAME_3 = "Debug Paramaters"
-HELP_PANNEL_NAME_4 = "Modeling Paramaters"
+HELP_PANEL_NAME_1 = "Common Parameters"
+HELP_PANEL_NAME_2 = "Logging Parameters"
+HELP_PANEL_NAME_3 = "Debug Parameters"
+HELP_PANEL_NAME_4 = "Modeling Parameters"
 
 
 def vllm(
@@ -41,48 +41,48 @@ def vllm(
     tasks: Annotated[str, Argument(help="Comma-separated list of tasks to evaluate on.")],
     # === Common parameters ===
     use_chat_template: Annotated[
-        bool, Option(help="Use chat template for evaluation.", rich_help_panel=HELP_PANNEL_NAME_4)
+        bool, Option(help="Use chat template for evaluation.", rich_help_panel=HELP_PANEL_NAME_4)
     ] = False,
     system_prompt: Annotated[
-        Optional[str], Option(help="Use system prompt for evaluation.", rich_help_panel=HELP_PANNEL_NAME_4)
+        Optional[str], Option(help="Use system prompt for evaluation.", rich_help_panel=HELP_PANEL_NAME_4)
     ] = None,
     dataset_loading_processes: Annotated[
-        int, Option(help="Number of processes to use for dataset loading.", rich_help_panel=HELP_PANNEL_NAME_1)
+        int, Option(help="Number of processes to use for dataset loading.", rich_help_panel=HELP_PANEL_NAME_1)
     ] = 1,
     custom_tasks: Annotated[
-        Optional[str], Option(help="Path to custom tasks directory.", rich_help_panel=HELP_PANNEL_NAME_1)
+        Optional[str], Option(help="Path to custom tasks directory.", rich_help_panel=HELP_PANEL_NAME_1)
     ] = None,
     cache_dir: Annotated[
-        str, Option(help="Cache directory for datasets and models.", rich_help_panel=HELP_PANNEL_NAME_1)
+        str, Option(help="Cache directory for datasets and models.", rich_help_panel=HELP_PANEL_NAME_1)
     ] = CACHE_DIR,
     num_fewshot_seeds: Annotated[
-        int, Option(help="Number of seeds to use for few-shot evaluation.", rich_help_panel=HELP_PANNEL_NAME_1)
+        int, Option(help="Number of seeds to use for few-shot evaluation.", rich_help_panel=HELP_PANEL_NAME_1)
     ] = 1,
     # === saving ===
     output_dir: Annotated[
-        str, Option(help="Output directory for evaluation results.", rich_help_panel=HELP_PANNEL_NAME_2)
+        str, Option(help="Output directory for evaluation results.", rich_help_panel=HELP_PANEL_NAME_2)
     ] = "results",
     push_to_hub: Annotated[
-        bool, Option(help="Push results to the huggingface hub.", rich_help_panel=HELP_PANNEL_NAME_2)
+        bool, Option(help="Push results to the huggingface hub.", rich_help_panel=HELP_PANEL_NAME_2)
     ] = False,
     push_to_tensorboard: Annotated[
-        bool, Option(help="Push results to tensorboard.", rich_help_panel=HELP_PANNEL_NAME_2)
+        bool, Option(help="Push results to tensorboard.", rich_help_panel=HELP_PANEL_NAME_2)
     ] = False,
     public_run: Annotated[
-        bool, Option(help="Push results and details to a public repo.", rich_help_panel=HELP_PANNEL_NAME_2)
+        bool, Option(help="Push results and details to a public repo.", rich_help_panel=HELP_PANEL_NAME_2)
     ] = False,
     results_org: Annotated[
-        Optional[str], Option(help="Organization to push results to.", rich_help_panel=HELP_PANNEL_NAME_2)
+        Optional[str], Option(help="Organization to push results to.", rich_help_panel=HELP_PANEL_NAME_2)
     ] = None,
     save_details: Annotated[
-        bool, Option(help="Save detailed, sample per sample, results.", rich_help_panel=HELP_PANNEL_NAME_2)
+        bool, Option(help="Save detailed, sample per sample, results.", rich_help_panel=HELP_PANEL_NAME_2)
     ] = False,
     # === debug ===
     max_samples: Annotated[
-        Optional[int], Option(help="Maximum number of samples to evaluate on.", rich_help_panel=HELP_PANNEL_NAME_3)
+        Optional[int], Option(help="Maximum number of samples to evaluate on.", rich_help_panel=HELP_PANEL_NAME_3)
     ] = None,
     job_id: Annotated[
-        int, Option(help="Optional job id for future refenrence.", rich_help_panel=HELP_PANNEL_NAME_3)
+        int, Option(help="Optional job id for future reference.", rich_help_panel=HELP_PANEL_NAME_3)
     ] = 0,
 ):
     """
diff --git a/src/lighteval/tasks/extended/ifeval/main.py b/src/lighteval/tasks/extended/ifeval/main.py
index e6947bb6e..60d1be5fa 100644
--- a/src/lighteval/tasks/extended/ifeval/main.py
+++ b/src/lighteval/tasks/extended/ifeval/main.py
@@ -160,8 +160,3 @@ def agg_inst_level_acc(items):
 TASKS_TABLE = [ifeval]
 
 extend_enum(Metrics, "ifeval_metric", ifeval_metrics)
-
-if __name__ == "__main__":
-    # Adds the metric to the metric list!
-    print(t["name"] for t in TASKS_TABLE)
-    print(len(TASKS_TABLE))
diff --git a/src/lighteval/tasks/extended/mix_eval/main.py b/src/lighteval/tasks/extended/mix_eval/main.py
index 15d7490bc..8684e910c 100644
--- a/src/lighteval/tasks/extended/mix_eval/main.py
+++ b/src/lighteval/tasks/extended/mix_eval/main.py
@@ -228,8 +228,3 @@ def mean_dv_5(x):
 
 
 TASKS_TABLE = [mixeval_multichoice_easy, mixeval_freeform_easy, mixeval_multichoice_hard, mixeval_freeform_hard]
-
-if __name__ == "__main__":
-    # Adds the metric to the metric list!
-    print(t["name"] for t in TASKS_TABLE)
-    print(len(TASKS_TABLE))
diff --git a/src/lighteval/tasks/extended/mt_bench/main.py b/src/lighteval/tasks/extended/mt_bench/main.py
index e5b209982..117e363dd 100644
--- a/src/lighteval/tasks/extended/mt_bench/main.py
+++ b/src/lighteval/tasks/extended/mt_bench/main.py
@@ -95,7 +95,3 @@ def flow_judge_mt_bench_prompt(question, answer, options, gold):
 
 
 TASKS_TABLE = [task]
-
-if __name__ == "__main__":
-    print(t["name"] for t in TASKS_TABLE)
-    print(len(TASKS_TABLE))
diff --git a/src/lighteval/tasks/extended/tiny_benchmarks/main.py b/src/lighteval/tasks/extended/tiny_benchmarks/main.py
index b283921f2..fae6e89df 100644
--- a/src/lighteval/tasks/extended/tiny_benchmarks/main.py
+++ b/src/lighteval/tasks/extended/tiny_benchmarks/main.py
@@ -283,11 +283,3 @@ def aggregate(self, y_input):
             corpus_level_fn=TinyCorpusAggregator(name).aggregate,
         ),
     )
-
-
-# MODULE LOGIC
-# You should not need to touch this
-# Convert to dict for lighteval
-if __name__ == "__main__":
-    print(t["name"] for t in TASKS_TABLE)
-    print(len(TASKS_TABLE))