diff --git a/model-customization/data-processing/seed-data-for-knowledge/utils/create_seed_dataset.py b/model-customization/data-processing/seed-data-for-knowledge/utils/create_seed_dataset.py
index f049c86..af6980a 100644
--- a/model-customization/data-processing/seed-data-for-knowledge/utils/create_seed_dataset.py
+++ b/model-customization/data-processing/seed-data-for-knowledge/utils/create_seed_dataset.py
@@ -155,7 +155,7 @@ def truncate_chunk(chunk: str):
 
     for c in chunked_document_all_icl:
         if get_token_count(c["document"], tokenizer) > max_token_count:
-            raise ValueError(f"Chunk \"{truncate_chunk(c["document"])}\" exceeds token count of {max_token_count}")
+            raise ValueError(f"Chunk \"{truncate_chunk(c['document'])}\" exceeds token count of {max_token_count}")
     
 
     df = chunked_document_all_icl.to_pandas()
diff --git a/model-customization/data-processing/seed-data-for-knowledge/utils/qna_gen.py b/model-customization/data-processing/seed-data-for-knowledge/utils/qna_gen.py
index 5fb3384..eae8b2c 100644
--- a/model-customization/data-processing/seed-data-for-knowledge/utils/qna_gen.py
+++ b/model-customization/data-processing/seed-data-for-knowledge/utils/qna_gen.py
@@ -271,7 +271,7 @@ def view_seed_example(qna_output_path: Path, seed_example_num: int) -> None:
             raise ValueError(f"seed_example_num must be less than number of seed examples {len(seed_examples)}")
         seed_example = seed_examples[seed_example_num]
         print("Context:")
-        print(f"{seed_example["context"]}\n")
+        print(f"{seed_example['context']}\n")
         for qna in seed_example["questions_and_answers"]:
-            print(f"Question: {qna["question"]}")
-            print(f"Answer: {qna["answer"]}\n")
+            print(f"Question: {qna['question']}")
+            print(f"Answer: {qna['answer']}\n")
diff --git a/quick-starts/instructlab-knowledge/utils/create_seed_dataset.py b/quick-starts/instructlab-knowledge/utils/create_seed_dataset.py
index f049c86..af6980a 100644
--- a/quick-starts/instructlab-knowledge/utils/create_seed_dataset.py
+++ b/quick-starts/instructlab-knowledge/utils/create_seed_dataset.py
@@ -155,7 +155,7 @@ def truncate_chunk(chunk: str):
 
     for c in chunked_document_all_icl:
         if get_token_count(c["document"], tokenizer) > max_token_count:
-            raise ValueError(f"Chunk \"{truncate_chunk(c["document"])}\" exceeds token count of {max_token_count}")
+            raise ValueError(f"Chunk \"{truncate_chunk(c['document'])}\" exceeds token count of {max_token_count}")
     
 
     df = chunked_document_all_icl.to_pandas()
diff --git a/quick-starts/instructlab-knowledge/utils/qna_gen.py b/quick-starts/instructlab-knowledge/utils/qna_gen.py
index a112d5e..af5a86e 100644
--- a/quick-starts/instructlab-knowledge/utils/qna_gen.py
+++ b/quick-starts/instructlab-knowledge/utils/qna_gen.py
@@ -271,7 +271,7 @@ def view_seed_example(qna_output_path: Path, seed_example_num: int) -> None:
             raise ValueError(f"seed_example_num must be less than number of seed examples {len(seed_examples)}")
         seed_example = seed_examples[seed_example_num]
         print("Context:")
-        print(f"{seed_example["context"]}\n")
+        print(f"{seed_example['context']}\n")
         for qna in seed_example["questions_and_answers"]:
-            print(f"Question: {qna["question"]}")
-            print(f"Answer: {qna["answer"]}\n")
+            print(f"Question: {qna['question']}")
+            print(f"Answer: {qna['answer']}\n")