batched tokenization

docbank.py

@@ -277,23 +277,23 @@ class Docbank(datasets.GeneratorBasedBuilder):
             # )
             #print(processed)
 
-            for chunk_id, index in enumerate(range(0, len(tokens), self.CHUNK_SIZE)):
-                split_tokens = tokens[index:index + self.CHUNK_SIZE]
-                split_bboxes = bboxes[index:index + self.CHUNK_SIZE]
-                # split_rgbs = rgbs[index:index + self.CHUNK_SIZE]
-                # split_fonts = fonts[index:index + self.CHUNK_SIZE]
-                split_labels = labels[index:index + self.CHUNK_SIZE]
+            # for chunk_id, index in enumerate(range(0, len(tokens), self.CHUNK_SIZE)):
+            #     split_tokens = tokens[index:index + self.CHUNK_SIZE]
+            #     split_bboxes = bboxes[index:index + self.CHUNK_SIZE]
+            #     # split_rgbs = rgbs[index:index + self.CHUNK_SIZE]
+            #     # split_fonts = fonts[index:index + self.CHUNK_SIZE]
+            #     split_labels = labels[index:index + self.CHUNK_SIZE]
 
                 #tokenized = self.TOKENIZER(processed['words'], boxes=processed['boxes'])
 
-                yield key, {
-                    "id": f"{f_id}_{chunk_id}",
-                    'words': split_tokens,
-                    "bbox": split_bboxes,
-                    # "RGBs": split_rgbs,
-                    # "fonts": split_fonts,
-                    #"image": image,
-                    "original_image": original_image,
-                    "labels": split_labels
-                }
-                key += 1
+            yield key, {
+                "id": f"file_{f_id}",
+                'words': tokens,
+                "bbox": bboxes,
+                # "RGBs": split_rgbs,
+                # "fonts": split_fonts,
+                #"image": image,
+                "original_image": original_image,
+                "labels": labels
+            }
+            key += 1