diff --git a/main.py b/main.py
index cb2acde..12835ed 100644
--- a/main.py
+++ b/main.py
@@ -13,8 +13,8 @@
 )
 from speed_tests import measure_execution_time
 
-CONST_SIZE = 10
-CONST_MAX_LIST_LENGTH = 10
+CONST_SIZE = 100
+CONST_MAX_LIST_LENGTH = 100
 
 if __name__ == "__main__":
     # Initialize the logger. If no log file is specified, logs will just save to .
diff --git a/test_convert_to_pandas_df.py b/test_convert_to_pandas_df.py
new file mode 100644
index 0000000..a4f3026
--- /dev/null
+++ b/test_convert_to_pandas_df.py
@@ -0,0 +1,32 @@
+import pytest
+import pandas as pd
+from dictionaries import convert_to_pandas_df  # Replace with your actual module name
+
+
+def test_normal_input():
+    sample_data = [(1, 2), (3, 4)]
+    expected_output = pd.DataFrame({"Key": [1, 3], "Value": [2, 4]})
+    pd.testing.assert_frame_equal(convert_to_pandas_df(sample_data), expected_output)
+
+
+def test_empty_input():
+    sample_data = []
+    expected_output = pd.DataFrame(columns=["Key", "Value"])
+    pd.testing.assert_frame_equal(convert_to_pandas_df(sample_data), expected_output)
+
+
+def test_multiple_entries():
+    sample_data = [("a", 1), ("a", 2), ("a", 3)]
+    expected_output = pd.DataFrame({"Key": ["a", "a", "a"], "Value": [1, 2, 3]})
+    pd.testing.assert_frame_equal(convert_to_pandas_df(sample_data), expected_output)
+
+
+def test_invalid_input_data():
+    with pytest.raises(TypeError):
+        convert_to_pandas_df("invalid data")
+
+
+def test_incorrect_tuple_length():
+    sample_data = [("a", 1, "extra"), ("b", 2)]
+    with pytest.raises(ValueError):
+        convert_to_pandas_df(sample_data)
diff --git a/test_convert_to_polars_df.py b/test_convert_to_polars_df.py
new file mode 100644
index 0000000..febe46d
--- /dev/null
+++ b/test_convert_to_polars_df.py
@@ -0,0 +1,35 @@
+import pytest
+import polars as pl
+from polars.testing import assert_frame_equal, assert_series_equal
+from dictionaries import convert_to_polars_df
+
+
+def test_normal_input():
+    sample_data = [(1, 2), (3, 4)]
+    expected_output = pl.DataFrame(
+        {"column_0": [1, 2], "column_1": [3, 4]}
+    )  # Corrected expected values
+    pl.testing.assert_frame_equal(convert_to_polars_df(sample_data), expected_output)
+
+
+def test_empty_input():
+    sample_data = []
+    expected_output = pl.DataFrame()
+    pl.testing.assert_frame_equal(convert_to_polars_df(sample_data), expected_output)
+
+
+def test_multiple_entries():
+    sample_data = [("a", 1), ("a", 2), ("a", 3)]
+    expected_output = pl.DataFrame({"column_0": ["a", "a", "a"], "column_1": [1, 2, 3]})
+    pl.testing.assert_frame_equal(convert_to_polars_df(sample_data), expected_output)
+
+
+def test_invalid_input_data():
+    with pytest.raises(TypeError):
+        convert_to_polars_df("invalid data")
+
+
+def test_incorrect_tuple_length():
+    sample_data = [("a", 1, "extra"), ("b", 2)]
+    with pytest.raises(ValueError):
+        convert_to_polars_df(sample_data)