Update FUNSD.py

FUNSD.py

@@ -125,22 +125,26 @@ class Funsd(datasets.GeneratorBasedBuilder):
         ]
 
     def _generate_examples(self, filepath):
-        logger.info("Generating examples from = %s", filepath)
-        with open(filepath[0], "r", encoding="utf-8") as f:
-            data = json.load(f)
-
-        for doc in data["documents"]:
-            doc["img"]["fpath"] = os.path.join(filepath[1], doc["img"]["fname"])
-            image, size = load_image(doc["img"]["fpath"], size=224)
-            original_image, _ = load_image(doc["img"]["fpath"])
-            document = doc["document"]
-            tokenized_doc = {"input_ids": [], "bbox": [], "labels": []}
+        logger.info("⏳ Generating examples from = %s", filepath)
+        ann_dir = os.path.join(filepath, "annotations")
+        img_dir = os.path.join(filepath, "images")
+        for guid, file in enumerate(sorted(os.listdir(ann_dir))):
+            words = []
+            bboxes = []
+            ner_tags = []
             entities = []
             relations = []
-            id2label = {}
             entity_id_to_index_map = {}
             empty_entity = set()
-            for line in document:
+            file_path = os.path.join(ann_dir, file)
+            with open(file_path, "r", encoding="utf8") as f:
+                data = json.load(f)
+            image_path = os.path.join(img_dir, file)
+            image_path = image_path.replace("json", "png")
+            image, size = load_image(image_path)
+            for item in data["form"]:
+                words_example, label = item["words"], item["label"]
+                words_example = [w for w in words_example if w["text"].strip() != ""]
                 if len(line["text"]) == 0:
                     empty_entity.add(line["id"])
                     continue
@@ -192,6 +196,21 @@ class Funsd(datasets.GeneratorBasedBuilder):
                     )
                 for i in tokenized_doc:
                     tokenized_doc[i] = tokenized_doc[i] + tokenized_inputs[i]
+                if len(words_example) == 0:
+                    continue
+                if label == "other":
+                    for w in words_example:
+                        words.append(w["text"])
+                        ner_tags.append("O")
+                        bboxes.append(normalize_bbox(w["box"], size))
+                else:
+                    words.append(words_example[0]["text"])
+                    ner_tags.append("B-" + label.upper())
+                    bboxes.append(normalize_bbox(words_example[0]["box"], size))
+                    for w in words_example[1:]:
+                        words.append(w["text"])
+                        ner_tags.append("I-" + label.upper())
+                        bboxes.append(normalize_bbox(w["box"], size))
             relations = list(set(relations))
             relations = [rel for rel in relations if rel[0] not in empty_entity and rel[1] not in empty_entity]
             kvrelations = []
@@ -257,13 +276,5 @@ class Funsd(datasets.GeneratorBasedBuilder):
                                 "end_index": relation["end_index"] - index,
                             }
                         )
-                item.update(
-                    {
-                        "id": f"{doc['id']}_{chunk_id}",
-                        "image": image,
-                        "original_image": original_image,
-                        "entities": entities_in_this_span,
-                        "relations": relations_in_this_span,
-                    }
-                )
-                yield f"{doc['id']}_{chunk_id}", item
+            yield guid, {"id": str(guid), "words": words, "bboxes": bboxes, "ner_tags": ner_tags, "image_path": image_path, "entities": entities, "relations": relations}
+