changed tokenization

ref_seg_ger.py

@@ -142,15 +142,10 @@ class RefSeg(datasets.GeneratorBasedBuilder):
     # ]
 
     # DEFAULT_CONFIG_NAME = "small"  # It's not mandatory to have a default configuration. Just use one if it make sense.
-    TOKENIZER = pre_tokenizer = pre_tokenizers.Sequence([
-            Whitespace(),
-            Digits(),
-            Split(".", behavior="isolated"),
-            Split(":", behavior="isolated"),
-            Split("/", behavior="isolated"),
-            Split("-", behavior="isolated"),
-            Split(",", behavior="isolated"),
-        ])
+
+    #split_tokens = [".", ":", ",",";","/","-","(", ")"]
+
+    TOKENIZER = Whitespace()
 
     def _info(self):
         # TODO: This method specifies the datasets.DatasetInfo object which contains informations and typings for the dataset
@@ -285,7 +280,7 @@ class RefSeg(datasets.GeneratorBasedBuilder):
             split_ids = np.array_split(clean_input_ids, n_chunks)
             split_labels = np.array_split(clean_labels, n_chunks)
             split_refs = np.array_split(clean_refs, n_chunks)
-            for chunk_ids, chunk_labels, chunk_refs in zip(split_ids, split_labels, split_refs):
+            for chunk_ids, chunk_labels, chunk_refs in zip(clean_input_ids, clean_labels, clean_refs):
                 # for chunk_id, index in enumerate(range(0, len(clean_input_ids), self.CHUNK_SIZE)):
                 # split_ids = clean_input_ids[index:max(len(clean_input_ids), index + self.CHUNK_SIZE)]
                 # split_bboxes = bboxes[index:index + self.CHUNK_SIZE]