fix issue dataset split failed

cvdataset-layoutlmv3.py

@@ -1,16 +1,15 @@
 import json
-import pandas as pd
-import datasets
+import os
 from pathlib import Path
+import datasets
 from PIL import Image
-
+import pandas as pd
 
 logger = datasets.logging.get_logger(__name__)
-
 _CITATION = """\
 @article{LayoutLmv3 for CV extractions,
   title={LayoutLmv3for Key Information Extraction},
-  author={Misa R&D Team},
+  author={MisaR&D Team},
   year={2022},
 }
 """
@@ -19,12 +18,10 @@ CV is a collection of receipts. It contains, for each photo about cv personal, a
 https://arxiv.org/abs/2103.14470
 """
 
-
 def load_image(image_path):
-    image = Image.open(image_path).convert("RGB")
+    image = Image.open(image_path)
     w, h = image.size
-    
-    return image, (w, h)
+    return image, (w,h)
 
 def normalize_bbox(bbox, size):
     return [
@@ -33,34 +30,31 @@ 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/11SRDeRKUr8XacB7tauiGjkw1PXDGFKUx/"),
-    _get_drive_url("https://drive.google.com/file/d/14oyIAdWyTNEfDEDOJ0-sYDy1hVeAD5Tt/"),
-    _get_drive_url("https://drive.google.com/file/d/1YoOr-A55hnjjH96QMFKwHFi26yPYmln9/"),
-    _get_drive_url("https://drive.google.com/file/d/1bqESdP3UhQ5H9ZEnn5NsH44FZmiQa0G_/"),
+    _get_drive_url("https://drive.google.com/file/d/11SRDeRKUr8XacB7tauiGjkw1PXDGFKUx/")
     _get_drive_url("https://drive.google.com/file/d/1KdDBmGP96lFc7jv2Bf4eqrO121ST-TCh/"),
 ]
 
-class CVENConfig(datasets.BuilderConfig):
+class DatasetConfig(datasets.BuilderConfig):
     """BuilderConfig for WildReceipt Dataset"""
     def __init__(self, **kwargs):
         """BuilderConfig for WildReceipt Dataset.
         Args:
           **kwargs: keyword arguments forwarded to super.
         """
-        super(CVENConfig, self).__init__(**kwargs)
-        
-class CVDataset(datasets.GeneratorBasedBuilder):
+        super(DatasetConfig, self).__init__(**kwargs)
+
+
+class WildReceipt(datasets.GeneratorBasedBuilder):
     BUILDER_CONFIGS = [
-        CVENConfig(name="CV Extractions", version=datasets.Version("1.0.0"), description="CV dataset"),
+        DatasetConfig(name="CV Extractions", version=datasets.Version("1.0.0"), description="CV dataset"),
     ]
 
     def _info(self):
@@ -73,12 +67,7 @@ class CVDataset(datasets.GeneratorBasedBuilder):
                     "bboxes": datasets.Sequence(datasets.Sequence(datasets.Value("int64"))),
                     "ner_tags": datasets.Sequence(
                         datasets.features.ClassLabel(
-                            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']
+                            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']
                         )
                     ),
                     "image_path": datasets.Value("string"),
@@ -109,6 +98,7 @@ class CVDataset(datasets.GeneratorBasedBuilder):
         df = pd.read_csv(dest/'class_list.txt', delimiter='\s', header=None)
         id2labels = dict(zip(df[0].tolist(), df[1].tolist()))
 
+
         logger.info("⏳ Generating examples from = %s", filepath)
 
         item_list = []