diff --git a/src/j1939_decoder.py b/src/j1939_decoder.py
index 239d100..334a070 100644
--- a/src/j1939_decoder.py
+++ b/src/j1939_decoder.py
@@ -64,30 +64,6 @@ def decode_j1939_frames(df: pl.DataFrame) -> pl.DataFrame:
         ])
     ).otherwise(None)
 
-    b = [pl.col(f"b{i}").fill_null("00").str.to_integer(base=16, strict=False) for i in range(8)]
-    pgn_j = pl.when(is_j1939).then(pgn).otherwise(None)
-
-    data_1 = pl.when(pgn_j.is_in([61444, 65331])).then(1 * 1)
-    data_2 = pl.when(pgn_j.is_in([61444, 65331])).then(1 * 1)
-    data_3 = pl.when(pgn_j == 65265).then(1 * 1)
-    data_4 = pl.when(pgn_j == 65226).then(1 * 1)
-    data_5 = pl.when(pgn_j == 65271).then(1 * 1)
-
-    data_col = pl.coalesce(
-        pl.when(data_1.is_not_null()).then(pl.lit("VALUE 1")),
-        pl.when(data_2.is_not_null()).then(pl.lit("VALUE 2")),
-        pl.when(data_3.is_not_null()).then(pl.lit("VALUE 3")),
-        pl.when(data_4.is_not_null()).then(pl.lit("VALUE 4")),
-        pl.when(data_5.is_not_null()).then(pl.lit("VALUE 5")),
-    )
-    value_col = pl.coalesce(data_1, data_2, data_3, data_4, data_5)
-
-    return df.with_columns([
-        j1939_meta.alias("j1939_metadata"),
-        data_col.alias("data"),
-        value_col.alias("value")
-    ])
-
 if __name__ == "__main__":
     parser = argparse.ArgumentParser(description="J1939 decoder")
     parser.add_argument("input_parquet", help="Path to the raw .parquet file")