Support for deduplication parameter.

Signed-off-by: ShivamPR21 <[email protected]>

RedPajama-Data-V2.py

@@ -143,11 +143,6 @@ class RedPajamaV2(datasets.GeneratorBasedBuilder):
     """RedPajama V2: Quality annotated Web Text Documents."""
 
     BUILDER_CONFIGS = [
-        # RedPajamaDataV2Config(
-        #     name="sample",
-        #     version=datasets.Version("1.0.0", ""),
-        #     description=f"RedPajamaV2 Sample",
-        # ),
         RedPajamaDataV2Config(
             name="sample-10B",
             version=datasets.Version("1.0.0", ""),
@@ -189,53 +184,6 @@ class RedPajamaV2(datasets.GeneratorBasedBuilder):
             supervised_keys=None,
         )
 
-    # def _split_generators_sample(self, dl_manager):
-    #     # fetch list of base tags
-    #     sample_base_tags_fp = dl_manager.download_and_extract(
-    #         "sample/sample_listings.txt"
-    #     )
-    #     with open(sample_base_tags_fp, "r") as fd:
-    #         sample_base_tags = [line.strip() for line in fd]
-
-    #     # fetch documents
-    #     logger.info(f"Downloading {len(sample_base_tags)} documents files.")
-    #     documents_files = dl_manager.download(
-    #         {
-    #             base_tag: f"sample/documents/{base_tag}.json.gz"
-    #             for base_tag in sample_base_tags
-    #         }
-    #     )
-
-    #     # fetch quality signals
-    #     logger.info(f"Downloading {len(sample_base_tags)} quality signals files.")
-    #     quality_signals_files = dl_manager.download(
-    #         {
-    #             base_tag: f"sample/quality_signals/{base_tag}.signals.json.gz"
-    #             for base_tag in sample_base_tags
-    #         }
-    #     )
-
-    #     # fetch ids of duplicates
-    #     logger.info(f"Downloading {len(sample_base_tags)} duplicates ids files.")
-    #     duplicates_ids_files = dl_manager.download(
-    #         {
-    #             base_tag: f"sample/duplicates/{base_tag}.duplicates.parquet"
-    #             for base_tag in sample_base_tags
-    #         }
-    #     )
-
-    #     return [
-    #         datasets.SplitGenerator(
-    #             name=datasets.Split.TRAIN,
-    #             gen_kwargs={
-    #                 "base_tags": sample_base_tags,
-    #                 "documents_files": documents_files,
-    #                 "quality_signals_files": quality_signals_files,
-    #                 "duplicates_ids_files": duplicates_ids_files,
-    #             },
-    #         )
-    #     ]
-
     @staticmethod
     def _align_order(source, target):
         res = []
@@ -393,6 +341,8 @@ class RedPajamaV2(datasets.GeneratorBasedBuilder):
             return
 
     def _handle_head_middle(self, base_tag, doc_file, qs_file, dupe_file):
+        deduplication = getattr(self.config, 'deduplication', False)
+
         if qs_file is None:
             yield from self._handle_tail(base_tag, doc_file, None, None)
             return
@@ -414,6 +364,10 @@ class RedPajamaV2(datasets.GeneratorBasedBuilder):
                 with gzip.open(qs_file, "rt", encoding="utf-8") as qf:
                     for row, (doc, qs) in enumerate(zip(df, qf)):
                         doc_id = f"{base_tag}.json.gz/{row}"
+                        is_duplicated = doc_id in duplicates
+
+                        if is_duplicated and deduplication:
+                            continue
 
                         try:
                             yield self.handle_record(
@@ -421,7 +375,7 @@ class RedPajamaV2(datasets.GeneratorBasedBuilder):
                                 doc_id=doc_id,
                                 doc=doc,
                                 qs=qs,
-                                is_duplicate=doc_id in duplicates,
+                                is_duplicate=is_duplicated,
                             )
                         except Exception as e:
                             logger.warning(