diff --git a/nemo_curator/modules/fuzzy_dedup.py b/nemo_curator/modules/fuzzy_dedup.py
index 125bc6ca..b42b8b7e 100644
--- a/nemo_curator/modules/fuzzy_dedup.py
+++ b/nemo_curator/modules/fuzzy_dedup.py
@@ -1712,41 +1712,6 @@ def _merge_and_write(self, ddf, ddf_id, output_path, id_columns):
         et = time.time()
         print(f"Merge and write completed in {et - st} seconds", flush=True)
 
-    def _batched_merge_and_write(
-        self, ddf, ddf_id, output_path, id_columns, batch_size=32
-    ):
-        total_batches = (ddf.npartitions + batch_size - 1) // batch_size
-        for batch_id, offset in enumerate(range(0, ddf.npartitions, batch_size)):
-            st = time.time()
-            subset_ddf = ddf.partitions[offset : offset + batch_size]
-            for tag in ["x", "y"]:
-                pair_ids = []
-                for id_col in id_columns:
-                    pair_ids.append(f"{id_col}_{tag}")
-                subset_ddf = subset_ddf.merge(
-                    ddf_id,
-                    left_on=pair_ids,
-                    right_on=id_columns,
-                    how="inner",
-                    broadcast=True,
-                    shuffle_method="p2p",
-                )
-                subset_ddf = subset_ddf.drop(
-                    columns=pair_ids,
-                )
-                subset_ddf = subset_ddf.rename(
-                    columns={"uid": f"{self.id_column}_{tag}"}
-                )
-
-            subset_ddf = subset_ddf[[self.left_id, self.right_id, "jaccard"]]
-            output_batch_path = os.path.join(output_path, f"{batch_id}.parquet")
-            subset_ddf.to_parquet(output_batch_path, write_index=False)
-
-            et = time.time()
-            print(
-                f"batch_id = {batch_id}/{total_batches}, time = {et - st}", flush=True
-            )
-
     @staticmethod
     def _get_unique_ids_per_partition(df, id_columns):
         unique_df_ls = []