From 0ebc7ec016ea5814960e3bfa08bec9cc611698ab Mon Sep 17 00:00:00 2001
From: Albert Villanova del Moral
 <8515462+albertvillanova@users.noreply.github.com>
Date: Mon, 16 Dec 2024 15:39:46 +0100
Subject: [PATCH] Fix minor typos (#449)

* Fix paramater -> parameter

* Fix pannel -> panel

* Fix refenrence -> reference
---
 src/lighteval/main_accelerate.py | 38 ++++++-------
 src/lighteval/main_baseline.py   | 18 +++---
 src/lighteval/main_endpoint.py   | 94 ++++++++++++++++----------------
 src/lighteval/main_nanotron.py   |  8 +--
 src/lighteval/main_vllm.py       | 36 ++++++------
 5 files changed, 97 insertions(+), 97 deletions(-)

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,
 ):
     """