diff --git a/tests/functional/test_chunkers.py b/tests/functional/test_chunkers.py
index d364ac48..aecbf9ce 100644
--- a/tests/functional/test_chunkers.py
+++ b/tests/functional/test_chunkers.py
@@ -1,6 +1,6 @@
 # Standard
-from pathlib import Path
 import os
+from pathlib import Path
 
 # Third Party
 import pytest
@@ -8,56 +8,43 @@
 # First Party
 from instructlab.sdg.utils.chunkers import DocumentChunker
 
+# Constants for Test Directory and Test Documents
 TEST_DATA_DIR = os.path.join(os.path.dirname(__file__), "..", "testdata")
+TEST_DOCUMENTS = {
+    "pdf": "sample_documents/phoenix.pdf",
+    "md": "sample_documents/phoenix.md"
+}
 
+@pytest.fixture(scope="module")
+def test_paths():
+    """Fixture to return paths to test documents."""
+    return {doc_type: Path(os.path.join(TEST_DATA_DIR, path)) for doc_type, path in TEST_DOCUMENTS.items()}
 
 @pytest.fixture
 def tokenizer_model_name():
+    """Fixture to return the path to the tokenizer model."""
     return os.path.join(TEST_DATA_DIR, "models/instructlab/granite-7b-lab")
 
-
-def test_chunk_pdf(tmp_path, tokenizer_model_name):
-    pdf_path = Path(os.path.join(TEST_DATA_DIR, "sample_documents", "phoenix.pdf"))
-    leaf_node = [
-        {
-            "documents": ["Lorem ipsum"],
-            "filepaths": [pdf_path],
-            "taxonomy_path": "knowledge",
-        }
-    ]
+@pytest.mark.parametrize("doc_type, expected_chunks, contains_text", [
+    ("pdf", 9, "Phoenix is a minor constellation"),
+    ("md", 7, None)  # Assuming there's no specific text to check in Markdown
+])
+def test_chunk_documents(tmp_path, tokenizer_model_name, test_paths, doc_type, expected_chunks, contains_text):
+    """
+    Generalized test function for chunking documents.
+    """
+    document_path = test_paths[doc_type]
     chunker = DocumentChunker(
-        document_paths=[pdf_path],
+        document_paths=[document_path],
         output_dir=tmp_path,
         tokenizer_model_name=tokenizer_model_name,
         server_ctx_size=4096,
         chunk_word_count=500,
     )
     chunks = chunker.chunk_documents()
-    assert len(chunks) > 9
-    assert "Phoenix is a minor constellation" in chunks[0]
+    assert len(chunks) > expected_chunks
+    if contains_text:
+        assert contains_text in chunks[0]
     for chunk in chunks:
-        # inexact sanity-checking of chunk max length
         assert len(chunk) < 2500
 
-
-def test_chunk_md(tmp_path, tokenizer_model_name):
-    markdown_path = Path(os.path.join(TEST_DATA_DIR, "sample_documents", "phoenix.md"))
-    leaf_node = [
-        {
-            "documents": [markdown_path.read_text(encoding="utf-8")],
-            "filepaths": [markdown_path],
-            "taxonomy_path": "knowledge",
-        }
-    ]
-    chunker = DocumentChunker(
-        document_paths=[markdown_path],
-        output_dir=tmp_path,
-        tokenizer_model_name=tokenizer_model_name,
-        server_ctx_size=4096,
-        chunk_word_count=500,
-    )
-    chunks = chunker.chunk_documents()
-    assert len(chunks) > 7
-    for chunk in chunks:
-        # inexact sanity-checking of chunk max length
-        assert len(chunk) < 2500