Update DocLayNet-large.py

DocLayNet-large.py

@@ -56,6 +56,13 @@ _LICENSE = "https://github.com/DS4SD/DocLayNet/blob/main/LICENSE"
 #     "second_domain": "https://huggingface.co/great-new-dataset-second_domain.zip",
 # }
 
+_URLs = {
+    "part_dataset_0": "https://huggingface.co/datasets/pierreguillou/DocLayNet-large/resolve/main/data/part_dataset_0.zip",
+    "part_dataset_1": "https://huggingface.co/datasets/pierreguillou/DocLayNet-large/resolve/main/data/part_dataset_1.zip",
+    "part_dataset_2": "https://huggingface.co/datasets/pierreguillou/DocLayNet-large/resolve/main/data/part_dataset_2.zip",
+    "part_dataset_3": "https://huggingface.co/datasets/pierreguillou/DocLayNet-large/resolve/main/data/part_dataset_3.zip",
+}
+
 # functions
 def load_image(image_path):
     image = Image.open(image_path).convert("RGB")
@@ -156,8 +163,10 @@ class DocLayNet(datasets.GeneratorBasedBuilder):
         # It can accept any type or nested list/dict and will give back the same structure with the url replaced with path to local files.
         # By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
 
-        downloaded_file = dl_manager.download_and_extract("https://huggingface.co/datasets/pierreguillou/DocLayNet-large/resolve/main/data/part_dataset_0.zip")
-        downloaded_file = dl_manager.download_and_extract("https://huggingface.co/datasets/pierreguillou/DocLayNet-large/resolve/main/data/part_dataset_1.zip")
+        archive_path = dl_manager.download_and_extract(_URLs)
+        
+        downloaded_file = dl_manager.download_and_extract(archive_path["part_dataset_0"])
+        downloaded_file = dl_manager.download_and_extract("part_dataset_0")
         # downloaded_file = dl_manager.download_and_extract("https://huggingface.co/datasets/pierreguillou/DocLayNet-large/resolve/main/data/part_dataset_2.zip")
         # downloaded_file = dl_manager.download_and_extract("https://huggingface.co/datasets/pierreguillou/DocLayNet-large/resolve/main/data/part_dataset_3.zip")
 
@@ -166,7 +175,10 @@ class DocLayNet(datasets.GeneratorBasedBuilder):
                 name=datasets.Split.TRAIN,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
-                    "filepath": f"{downloaded_file}/large_dataset/train/",
+                    "filepath_0": f"{archive_path["part_dataset_0"]}/large_dataset/train/",
+                    "filepath_1": f"{archive_path["part_dataset_1"]}/large_dataset/train/",
+                    "filepath_2": f"{archive_path["part_dataset_2"]}/large_dataset/train/",
+                    "filepath_3": f"{archive_path["part_dataset_3"]}/large_dataset/train/",
                     "split": "train",
                 },
             ),
@@ -174,7 +186,10 @@ class DocLayNet(datasets.GeneratorBasedBuilder):
                 name=datasets.Split.VALIDATION,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
-                    "filepath": f"{downloaded_file}/large_dataset/val/",
+                    "filepath_0": f"{archive_path["part_dataset_0"]}/large_dataset/val/",
+                    "filepath_1": f"{archive_path["part_dataset_1"]}/large_dataset/val/",
+                    "filepath_2": f"{archive_path["part_dataset_2"]}/large_dataset/val/",
+                    "filepath_3": f"{archive_path["part_dataset_3"]}/large_dataset/val/",
                     "split": "dev",
                 },
             ),
@@ -182,58 +197,66 @@ class DocLayNet(datasets.GeneratorBasedBuilder):
                 name=datasets.Split.TEST,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
-                    "filepath": f"{downloaded_file}/large_dataset/test/",
+                    "filepath_0": f"{archive_path["part_dataset_0"]}/large_dataset/test/",
+                    "filepath_1": f"{archive_path["part_dataset_1"]}/large_dataset/test/",
+                    "filepath_2": f"{archive_path["part_dataset_2"]}/large_dataset/test/",
+                    "filepath_3": f"{archive_path["part_dataset_3"]}/large_dataset/test/",
                     "split": "test"
                 },
             ),
         ]
 
-    def _generate_examples(self, filepath, split):
+    def _generate_examples(self, filepath_0, filepath_1, filepath_2, filepath_3, split):
+            filepath = (filepath_0, filepath_1, filepath_2, filepath_3)
             logger.info("⏳ Generating examples from = %s", filepath)
-            ann_dir = os.path.join(filepath, "annotations")
-            img_dir = os.path.join(filepath, "images")
-            pdf_dir = os.path.join(filepath, "pdfs")
-        
-            for guid, file in enumerate(sorted(os.listdir(ann_dir))):
-                texts = []
-                bboxes_block = []
-                bboxes_line = []
-                categories = []
+            ann_dirs = [os.path.join(filepath_0, "annotations"), os.path.join(filepath_1, "annotations"), os.path.join(filepath_2, "annotations"), os.path.join(filepath_3, "annotations")]
+            img_dirs = [os.path.join(filepath_0, "images"), os.path.join(filepath_1, "images"), os.path.join(filepath_2, "images"), os.path.join(filepath_3, "images")]
+            pdf_dirs = [os.path.join(filepath_0, "pdfs"), os.path.join(filepath_1, "pdfs"), os.path.join(filepath_2, "pdfs"), os.path.join(filepath_3, "pdfs")]
+
+            for ann_dir, img_dir, pdf_dir in zip(ann_dirs, img_dirs, pdf_dirs):
+                
+                ann_listdir = os.listdir(ann_dir)
         
-                # get json
-                file_path = os.path.join(ann_dir, file)
-                with open(file_path, "r", encoding="utf8") as f:
-                    data = json.load(f)
+                for guid, file in enumerate(ann_listdir):
+                    texts = []
+                    bboxes_block = []
+                    bboxes_line = []
+                    categories = []
+            
+                    # get json
+                    file_path = os.path.join(ann_dir, file)
+                    with open(file_path, "r", encoding="utf8") as f:
+                        data = json.load(f)
+                        
+                    # get image
+                    image_path = os.path.join(img_dir, file)
+                    image_path = image_path.replace("json", "png")
+                    image, size = load_image(image_path)
                     
-                # get image
-                image_path = os.path.join(img_dir, file)
-                image_path = image_path.replace("json", "png")
-                image, size = load_image(image_path)
-                
-                # get pdf
-                pdf_path = os.path.join(pdf_dir, file)
-                pdf_path = pdf_path.replace("json", "pdf")
-                with open(pdf_path, "rb") as pdf_file:
-                    pdf_bytes = pdf_file.read()
-                    pdf_encoded_string = base64.b64encode(pdf_bytes)
-
-                for item in data["form"]:
-                    text_example, category_example, bbox_block_example, bbox_line_example = item["text"], item["category"], item["box"], item["box_line"]
-                    texts.append(text_example)
-                    categories.append(category_example)
-                    bboxes_block.append(bbox_block_example)
-                    bboxes_line.append(bbox_line_example)
-
-                # get all metadadata
-                page_hash = data["metadata"]["page_hash"]
-                original_filename = data["metadata"]["original_filename"]
-                page_no = data["metadata"]["page_no"]
-                num_pages = data["metadata"]["num_pages"]
-                original_width = data["metadata"]["original_width"]
-                original_height = data["metadata"]["original_height"]
-                coco_width = data["metadata"]["coco_width"]
-                coco_height = data["metadata"]["coco_height"]
-                collection = data["metadata"]["collection"]
-                doc_category = data["metadata"]["doc_category"]
-
-                yield guid, {"id": str(guid), "texts": texts, "bboxes_block": bboxes_block, "bboxes_line": bboxes_line, "categories": categories, "image": image, "pdf": pdf_encoded_string, "page_hash": page_hash, "original_filename": original_filename, "page_no": page_no, "num_pages": num_pages, "original_width": original_width, "original_height": original_height, "coco_width": coco_width, "coco_height": coco_height, "collection": collection, "doc_category": doc_category}
+                    # get pdf
+                    pdf_path = os.path.join(pdf_dir, file)
+                    pdf_path = pdf_path.replace("json", "pdf")
+                    with open(pdf_path, "rb") as pdf_file:
+                        pdf_bytes = pdf_file.read()
+                        pdf_encoded_string = base64.b64encode(pdf_bytes)
+    
+                    for item in data["form"]:
+                        text_example, category_example, bbox_block_example, bbox_line_example = item["text"], item["category"], item["box"], item["box_line"]
+                        texts.append(text_example)
+                        categories.append(category_example)
+                        bboxes_block.append(bbox_block_example)
+                        bboxes_line.append(bbox_line_example)
+    
+                    # get all metadadata
+                    page_hash = data["metadata"]["page_hash"]
+                    original_filename = data["metadata"]["original_filename"]
+                    page_no = data["metadata"]["page_no"]
+                    num_pages = data["metadata"]["num_pages"]
+                    original_width = data["metadata"]["original_width"]
+                    original_height = data["metadata"]["original_height"]
+                    coco_width = data["metadata"]["coco_width"]
+                    coco_height = data["metadata"]["coco_height"]
+                    collection = data["metadata"]["collection"]
+                    doc_category = data["metadata"]["doc_category"]
+    
+                    yield guid, {"id": str(guid), "texts": texts, "bboxes_block": bboxes_block, "bboxes_line": bboxes_line, "categories": categories, "image": image, "pdf": pdf_encoded_string, "page_hash": page_hash, "original_filename": original_filename, "page_no": page_no, "num_pages": num_pages, "original_width": original_width, "original_height": original_height, "coco_width": coco_width, "coco_height": coco_height, "collection": collection, "doc_category": doc_category}