diff --git a/benchmark/agbenchmark/challenges/verticals/data/2_label_csv/data.json b/benchmark/agbenchmark/challenges/verticals/data/2_label_csv/data.json
index d4967c1b..dfbcca14 100644
--- a/benchmark/agbenchmark/challenges/verticals/data/2_label_csv/data.json
+++ b/benchmark/agbenchmark/challenges/verticals/data/2_label_csv/data.json
@@ -9,6 +9,7 @@
     "eval_id": "6e2bf1f0-6842-4704-8ed1-b17c2065bbac",
     "ground": {
         "answer": "The csv labelled",
+        "case_sensitive": true,
         "eval": {
             "type": "file"
         },
diff --git a/benchmark/agbenchmark/challenges/verticals/scrape/5_get_information/data.json b/benchmark/agbenchmark/challenges/verticals/scrape/5_get_information/data.json
index 703636bc..f198d2e4 100644
--- a/benchmark/agbenchmark/challenges/verticals/scrape/5_get_information/data.json
+++ b/benchmark/agbenchmark/challenges/verticals/scrape/5_get_information/data.json
@@ -10,6 +10,7 @@
     "eval_id": "1758058c-f726-484f-96fa-f05e278e5ff5",
     "ground": {
         "answer": "The twitter handles of the two hosts of Latent Space.",
+        "case_sensitive": false,
         "eval": {
             "type": "file"
         },
diff --git a/benchmark/agbenchmark/challenges/verticals/scrape/6_find_autogpt_creator/data.json b/benchmark/agbenchmark/challenges/verticals/scrape/6_find_autogpt_creator/data.json
index c3c069f2..3a696235 100644
--- a/benchmark/agbenchmark/challenges/verticals/scrape/6_find_autogpt_creator/data.json
+++ b/benchmark/agbenchmark/challenges/verticals/scrape/6_find_autogpt_creator/data.json
@@ -10,6 +10,7 @@
     "eval_id": "1758058c-f726-484f-96fa-f05e278e5ff5",
     "ground": {
         "answer": "Toran is from Scotland https://uk.linkedin.com/in/toran-richards.",
+        "case_sensitive": true,
         "eval": {
             "type": "file"
         },
@@ -17,7 +18,7 @@
             "output.txt"
         ],
         "should_contain": [
-            "cotland"
+            "Scotland"
         ],
         "should_not_contain": []
     },
diff --git a/benchmark/agbenchmark/challenges/verticals/scrape/7_amazon_bestseller/data.json b/benchmark/agbenchmark/challenges/verticals/scrape/7_amazon_bestseller/data.json
index bb733702..4e132762 100644
--- a/benchmark/agbenchmark/challenges/verticals/scrape/7_amazon_bestseller/data.json
+++ b/benchmark/agbenchmark/challenges/verticals/scrape/7_amazon_bestseller/data.json
@@ -11,6 +11,7 @@
     "eval_id": "1758058c-f726-484f-96fa-f05e278e5ff5",
     "ground": {
         "answer": "https://www.amazon.com/gp/bestsellers/2021/books, second book, the answer is Reed",
+        "case_sensitive": true,
         "eval": {
             "type": "file"
         },
diff --git a/benchmark/agbenchmark/challenges/verticals/scrape/8_forbes_list/data.json b/benchmark/agbenchmark/challenges/verticals/scrape/8_forbes_list/data.json
index 48db48ce..a4fe85c6 100644
--- a/benchmark/agbenchmark/challenges/verticals/scrape/8_forbes_list/data.json
+++ b/benchmark/agbenchmark/challenges/verticals/scrape/8_forbes_list/data.json
@@ -11,6 +11,7 @@
     "eval_id": "1758058c-f726-484f-96fa-f05e278e5ff5",
     "ground": {
         "answer": "Get to https://www.forbes.com/special-report/2012/30-under-30/30-under-30_games.html, then https://www.linkedin.com/in/brianjcho/details/experience/ is the first 27 year old, then find his longest working job on Linkedin which is Riot Games.",
+        "case_sensitive": true,
         "eval": {
             "type": "file"
         },
diff --git a/benchmark/agbenchmark/utils/challenge.py b/benchmark/agbenchmark/utils/challenge.py
index 36bf0af2..20353f68 100644
--- a/benchmark/agbenchmark/utils/challenge.py
+++ b/benchmark/agbenchmark/utils/challenge.py
@@ -123,6 +123,9 @@ class Challenge(ABC):
         print("\033[1;34mScoring content:\033[0m", content)
         if ground.should_contain:
             for should_contain_word in ground.should_contain:
+                if not getattr(ground, 'case_sensitive', True):
+                    should_contain_word = should_contain_word.lower()
+                    content = content.lower()
                 print_content = (
                     f"\033[1;34mWord that should exist\033[0m - {should_contain_word}:"
                 )
@@ -134,6 +137,9 @@ class Challenge(ABC):
 
         if ground.should_not_contain:
             for should_not_contain_word in ground.should_not_contain:
+                if not getattr(ground, 'case_sensitive', True):
+                    should_not_contain_word = should_not_contain_word.lower()
+                    content = content.lower()
                 print_content = f"\033[1;34mWord that should not exist\033[0m - {should_not_contain_word}:"
                 if should_not_contain_word in content:
                     print(print_content, "False")
diff --git a/benchmark/agbenchmark/utils/data_types.py b/benchmark/agbenchmark/utils/data_types.py
index 8f1e53d0..74b50932 100644
--- a/benchmark/agbenchmark/utils/data_types.py
+++ b/benchmark/agbenchmark/utils/data_types.py
@@ -165,6 +165,7 @@ class Ground(BaseModel):
     should_contain: Optional[List[str]] = None
     should_not_contain: Optional[List[str]] = None
     files: List[str]
+    case_sensitive: Optional[bool] = True
     eval: Eval