Update cvdataset-layoutlmv3.py

cvdataset-layoutlmv3.py

@@ -1,16 +1,16 @@
 import json
-import os
-from pathlib import Path
-from PIL import Image
 import pandas as pd
 import datasets
+from pathlib import Path
+from PIL import Image
+
 
 logger = datasets.logging.get_logger(__name__)
 
 _CITATION = """\
 @article{LayoutLmv3 for CV extractions,
   title={LayoutLmv3for Key Information Extraction},
-  author={MisaR&D Team},
+  author={Misa R&D Team},
   year={2022},
 }
 """
@@ -19,10 +19,12 @@ 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)
+    image = Image.open(image_path).convert("RGB")
     w, h = image.size
-    return image, (w,h)
+    
+    return image, (w, h)
 
 def normalize_bbox(bbox, size):
     return [
@@ -32,6 +34,7 @@ def normalize_bbox(bbox, size):
         int(1000 * bbox[3] / size[1]),
     ]
     
+    
 def _get_drive_url(url):
     base_url = 'https://drive.google.com/uc?id='
     split_url = url.split('/')
@@ -39,23 +42,24 @@ def _get_drive_url(url):
     return base_url + split_url[5]
 
 _URLS = [
+    _get_drive_url("https://drive.google.com/file/d/1fHDcNKdYFu33Z0kOQzVemLwjuuc3tdg-/"),
     _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 DatasetConfig(datasets.BuilderConfig):
+class CVENConfig(datasets.BuilderConfig):
     """BuilderConfig for WildReceipt Dataset"""
     def __init__(self, **kwargs):
         """BuilderConfig for WildReceipt Dataset.
         Args:
           **kwargs: keyword arguments forwarded to super.
         """
-        super(DatasetConfig, self).__init__(**kwargs)
+        super(CVENConfig, self).__init__(**kwargs)
         
 class CVDataset(datasets.GeneratorBasedBuilder):
     BUILDER_CONFIGS = [
-        DatasetConfig(name="CV Extractions", version=datasets.Version("1.0.0"), description="CV dataset"),
+        CVENConfig(name="CV Extractions", version=datasets.Version("1.0.0"), description="CV dataset"),
     ]
 
     def _info(self):
@@ -88,23 +92,22 @@ class CVDataset(datasets.GeneratorBasedBuilder):
         """Returns SplitGenerators."""
         """Uses local files located with data_dir"""
         downloaded_file = dl_manager.download_and_extract(_URLS)
-        dest = Path(downloaded_file[0])/'data1'
+        dest = Path(downloaded_file[0])/'data2'
 
         return [
             datasets.SplitGenerator(
-                name=datasets.Split.TRAIN, gen_kwargs={"filepath": dest/"update_train.txt", "dest": dest}
+                name=datasets.Split.TRAIN, gen_kwargs={"filepath": dest/"train_en.txt", "dest": dest}
             ),            
             datasets.SplitGenerator(
-                name=datasets.Split.TEST, gen_kwargs={"filepath": dest/"update_test.txt", "dest": dest}
+                name=datasets.Split.TEST, gen_kwargs={"filepath": dest/"test_en.txt", "dest": dest}
             ),
         ]
 
     def _generate_examples(self, filepath, dest):
 
-        df = pd.read_csv(dest/'update_class_list.txt', delimiter='\s', header=None)
+        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 = []