updated constrains

docbank.py

@@ -16,7 +16,6 @@
 
 import csv
 import os
-import itertools
 import numpy as np
 from PIL import Image
 from transformers import AutoTokenizer
@@ -58,9 +57,9 @@ _FEATURES = datasets.Features(
         "id": datasets.Value("string"),
         "input_ids": datasets.Sequence(datasets.Value("int64")),
         "bbox": datasets.Sequence(datasets.Sequence(datasets.Value("int64"))),
-        "RGBs": datasets.Sequence(datasets.Sequence(datasets.Value("int64"))),
-        "fonts": datasets.Sequence(datasets.Value("string")),
-        "image": datasets.Array3D(shape=(3, 224, 224), dtype="uint8"),
+        # "RGBs": datasets.Sequence(datasets.Sequence(datasets.Value("int64"))),
+        # "fonts": datasets.Sequence(datasets.Value("string")),
+        # "image": datasets.Array3D(shape=(3, 224, 224), dtype="uint8"),
         "original_image": datasets.features.Image(),
         "labels": datasets.Sequence(datasets.features.ClassLabel(
             names=['abstract', 'author', 'caption', 'date', 'equation', 'figure', 'footer', 'list', 'paragraph',
@@ -78,8 +77,8 @@ def load_image(image_path, size=None):
         # resize image
         image = image.resize((size, size))
         image = np.asarray(image)
-        image = image[:, :, ::-1] # flip color channels from RGB to BGR
-        image = image.transpose(2, 0, 1) # move channels to first dimension
+        image = image[:, :, ::-1]  # flip color channels from RGB to BGR
+        image = image.transpose(2, 0, 1)  # move channels to first dimension
     return image, (w, h)
 
 
@@ -131,7 +130,7 @@ class Docbank(datasets.GeneratorBasedBuilder):
                                description="This part of my dataset covers a second domain"),
     ]
 
-    DEFAULT_CONFIG_NAME = "small"  # It's not mandatory to have a default configuration. Just use one if it make sense.
+    # 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")
 
     def _info(self):
@@ -205,20 +204,20 @@ class Docbank(datasets.GeneratorBasedBuilder):
     def _generate_examples(self, filepath, split):
         # TODO: This method handles input defined in _split_generators to yield (key, example) tuples from the dataset.
         # The `key` is for legacy reasons (tfds) and is not important in itself, but must be unique for each example.
-        #print(filepath)
+        # print(filepath)
         key = 0
         for f in filepath:
-            #print(f)
+            # print(f)
             f_id = f['id']
             f_fp_txt = f['filepath_txt']
             f_fp_img = f['filepath_img']
             tokens = []
             bboxes = []
-            rgbs = []
-            fonts = []
+            # rgbs = []
+            # fonts = []
             labels = []
 
-            image, size = load_image(f_fp_img, size=224)
+            # image, size = load_image(f_fp_img, size=224)
             original_image, _ = load_image(f_fp_img)
 
             try:
@@ -232,42 +231,33 @@ class Docbank(datasets.GeneratorBasedBuilder):
                             add_special_tokens=False,
                             return_offsets_mapping=False,
                             return_attention_mask=False,
+                            max_length=512, truncation=True
                         )
                         for tkn in tokenized_input['input_ids']:
                             tokens.append(tkn)
                             bboxes.append(normalized_bbox)
-                            rgbs.append(row[5:8])
-                            fonts.append(row[8])
+                            # rgbs.append(row[5:8])
+                            # fonts.append(row[8])
                             labels.append(row[9])
 
             except:
                 continue
 
             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_rgbs = rgbs[index:index + self.CHUNK_SIZE]
+                # split_fonts = fonts[index:index + self.CHUNK_SIZE]
                 split_labels = labels[index:index + self.CHUNK_SIZE]
 
-                if len(split_tokens) > self.CHUNK_SIZE:
-                    print('Err')
-                    print(key)
-                    print(f_id)
-                    print(split_tokens)
-
-
                 yield key, {
                     "id": f"{f_id}_{chunk_id}",
                     'input_ids': split_tokens,
                     "bbox": split_bboxes,
-                    "RGBs": split_rgbs,
-                    "fonts": split_fonts,
-                    "image": image,
+                    # "RGBs": split_rgbs,
+                    # "fonts": split_fonts,
+                    # "image": image,
                     "original_image": original_image,
                     "labels": split_labels
                 }
                 key += 1
-            if key >= 500:
-                break