Update cvdataset-layoutlmv3.py

cvdataset-layoutlmv3.py

@@ -1,11 +1,12 @@
 import json
 import os
 from pathlib import Path
-import datasets
 from PIL import Image
 import pandas as pd
+import datasets
 
 logger = datasets.logging.get_logger(__name__)
+
 _CITATION = """\
 @article{LayoutLmv3 for CV extractions,
   title={LayoutLmv3for Key Information Extraction},
@@ -30,14 +31,15 @@ def normalize_bbox(bbox, size):
         int(1000 * bbox[2] / size[0]),
         int(1000 * bbox[3] / size[1]),
     ]
-
+    
 def _get_drive_url(url):
     base_url = 'https://drive.google.com/uc?id='
     split_url = url.split('/')
     
     return base_url + split_url[5]
-    
+
 _URLS = [
+    _get_drive_url("https://drive.google.com/file/d/1sC6ZlC3wMg6NtvAVhQHzKKq7nvT7Msb6/"),
     _get_drive_url("https://drive.google.com/file/d/11SRDeRKUr8XacB7tauiGjkw1PXDGFKUx/"),
     _get_drive_url("https://drive.google.com/file/d/1KdDBmGP96lFc7jv2Bf4eqrO121ST-TCh/"),
 ]
@@ -50,9 +52,8 @@ class DatasetConfig(datasets.BuilderConfig):
           **kwargs: keyword arguments forwarded to super.
         """
         super(DatasetConfig, self).__init__(**kwargs)
-
-
-class WildReceipt(datasets.GeneratorBasedBuilder):
+        
+class CVDataset(datasets.GeneratorBasedBuilder):
     BUILDER_CONFIGS = [
         DatasetConfig(name="CV Extractions", version=datasets.Version("1.0.0"), description="CV dataset"),
     ]
@@ -67,7 +68,12 @@ class WildReceipt(datasets.GeneratorBasedBuilder):
                     "bboxes": datasets.Sequence(datasets.Sequence(datasets.Value("int64"))),
                     "ner_tags": datasets.Sequence(
                         datasets.features.ClassLabel(
-                            names=['person_name', 'dob_key', 'dob_value', 'gender_key', 'gender_value', 'phonenumber_key', 'phonenumber_value', 'email_key', 'email_value', 'address_key', 'address_value', 'socical_address_value', 'education', 'education_name', 'education_time', 'experience', 'experience_name', 'experience_time', 'information', 'undefined']
+                            names=['person_name', 'dob_field', 'gender_field', \
+                                   'phonenumber_field', 'email_field', \
+                                   'address_field', 'socical_address_field', \
+                                    'education', 'education_name', 'education_time', \
+                                    'experience', 'experience_name', 'experience_time', \
+                                    'information', 'undefined']
                         )
                     ),
                     "image_path": datasets.Value("string"),
@@ -86,16 +92,16 @@ class WildReceipt(datasets.GeneratorBasedBuilder):
 
         return [
             datasets.SplitGenerator(
-                name=datasets.Split.TRAIN, gen_kwargs={"filepath": dest/"train.txt", "dest": dest}
+                name=datasets.Split.TRAIN, gen_kwargs={"filepath": dest/"update_train.txt", "dest": dest}
             ),            
             datasets.SplitGenerator(
-                name=datasets.Split.TEST, gen_kwargs={"filepath": dest/"test.txt", "dest": dest}
+                name=datasets.Split.TEST, gen_kwargs={"filepath": dest/"update_test.txt", "dest": dest}
             ),
         ]
 
     def _generate_examples(self, filepath, dest):
 
-        df = pd.read_csv(dest/'class_list.txt', delimiter='\s', header=None)
+        df = pd.read_csv(dest/'update_class_list.txt', delimiter='\s', header=None)
         id2labels = dict(zip(df[0].tolist(), df[1].tolist()))