changed input ids to tokens

ref_seg_ger.py

@@ -18,7 +18,7 @@ from glob import glob
 import os
 import numpy as np
 from PIL import Image
-from transformers import AutoTokenizer
+from tokenizers.pre_tokenizers import Whitespace
 import datasets
 from itertools import chain
 import pandas as pd
@@ -136,7 +136,7 @@ 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 = AutoTokenizer.from_pretrained("xlm-roberta-base")
+    TOKENIZER = Whitespace()
 
     def _info(self):
         # TODO: This method specifies the datasets.DatasetInfo object which contains informations and typings for the dataset
@@ -214,30 +214,25 @@ class RefSeg(datasets.GeneratorBasedBuilder):
             labels = []
             for i, row in df.iterrows():
 
-                tokenized_input = self.TOKENIZER(
-                    row['token'],
-                    add_special_tokens=False,
-                    return_offsets_mapping=False,
-                    return_attention_mask=False,
-                )
+                tokens = self.TOKENIZER.pre_tokenize_str(row['token'])
                 #print(tokenized_input)
-                if len(tokenized_input['input_ids']) > 1:
+                if len(tokens) > 1:
                     if row['tag'] == 'B':
-                        input_ids.append(tokenized_input['input_ids'][0])
+                        input_ids.append(tokens[0])
                         labels.append(row['tag'] + '-' + row['label'])
-                        for input_id in tokenized_input['input_ids'][1:]:
+                        for input_id in tokens[1:]:
                             input_ids.append(input_id)
                             labels.append('I-' + row['label'])
                     elif row['tag'] == 'I':
-                        for input_id in tokenized_input['input_ids']:
+                        for input_id in tokens:
                             input_ids.append(input_id)
                             labels.append('I-' + row['label'])
                     else:
-                        for input_id in tokenized_input['input_ids']:
+                        for input_id in tokens:
                             input_ids.append(input_id)
                             labels.append('O')
-                elif len(tokenized_input['input_ids']) == 1:
-                    input_ids.append(tokenized_input['input_ids'][0])
+                elif len(tokens) == 1:
+                    input_ids.append(tokens[0])
                     if row['tag'] == 'O':
                         labels.append(row['tag'])
                     else: