Update lmv3.py

lmv3.py

@@ -69,7 +69,7 @@ class Funsd(datasets.GeneratorBasedBuilder):
                     "bboxes": datasets.Sequence(datasets.Sequence(datasets.Value("int64"))),
                     "ner_tags": datasets.Sequence(
                         datasets.features.ClassLabel(
-                            names=["O", "B-HEADER", "I-HEADER", "B-QUESTION", "I-QUESTION", "B-ANSWER", "I-ANSWER"]
+                            names=["DATEISSUED","LOANTERM","PURPOSE","PRODUCT","PROPERTY","LOANAMOUNT","INTERESTRATE","MONTHLYPR","PREPENALTY","BALLOONPAYMENT","ESTMONTHLY","ESTTAXES"]
                         )
                     ),
                     "image": datasets.features.Image(),
@@ -117,26 +117,27 @@ class Funsd(datasets.GeneratorBasedBuilder):
             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"]:
-                cur_line_bboxes = []
-                words, label = item["words"], item["label"]
-                words = [w for w in words if w["text"].strip() != ""]
-                if len(words) == 0:
-                    continue
-                if label == "other":
-                    for w in words:
-                        tokens.append(w["text"])
-                        ner_tags.append("O")
-                        cur_line_bboxes.append(normalize_bbox(w["box"], size))
-                else:
-                    tokens.append(words[0]["text"])
-                    ner_tags.append("B-" + label.upper())
-                    cur_line_bboxes.append(normalize_bbox(words[0]["box"], size))
-                    for w in words[1:]:
-                        tokens.append(w["text"])
-                        ner_tags.append("I-" + label.upper())
-                        cur_line_bboxes.append(normalize_bbox(w["box"], size))
-                cur_line_bboxes = self.get_line_bbox(cur_line_bboxes)
-                bboxes.extend(cur_line_bboxes)
+            for state in data: 
+                for item in state["form"]:
+                    cur_line_bboxes = []
+                    words, label = item["words"], item["label"]
+                    words = [w for w in words if w["text"].strip() != ""]
+                    if len(words) == 0:
+                        continue
+                    if label == "other":
+                        for w in words:
+                            tokens.append(w["text"])
+                            ner_tags.append("O")
+                            cur_line_bboxes.append(normalize_bbox(w["box"], size))
+                    else:
+                        tokens.append(words[0]["text"])
+                        ner_tags.append("B-" + label.upper())
+                        cur_line_bboxes.append(normalize_bbox(words[0]["box"], size))
+                        for w in words[1:]:
+                            tokens.append(w["text"])
+                            ner_tags.append("I-" + label.upper())
+                            cur_line_bboxes.append(normalize_bbox(w["box"], size))
+                    cur_line_bboxes = self.get_line_bbox(cur_line_bboxes)
+                    bboxes.extend(cur_line_bboxes)
             yield guid, {"id": str(guid), "tokens": tokens, "bboxes": bboxes, "ner_tags": ner_tags,
                          "image": image}