Update FCD_lmv2.py

FCD_lmv2.py

@@ -110,23 +110,26 @@ class FCD(datasets.GeneratorBasedBuilder):
             image_path = image_path.replace("json", "jpg")
             image, size = load_image(image_path)
             for item in data:
-               words, label = item["transcription"], item["label"]
-               words = [w for w in words if w["text"].strip() != ""]
-               if len(words) == 0:
+                words, label = item["transcription"], item["label"]
+                words = [w for w in words if w["text"].strip() != ""]
+                
+                if len(words) == 0:
                   continue
-               #if label == "other":
+                  #if label == "other":
                    # for w in words:
                     #    tokens.append(w["text"])
                     #    ner_tags.append("O")
                      #   bboxes.append(normalize_bbox(w["box"], size))
                # else:
-                 tokens.append(words[0]["text"])
-                 ner_tags.append("B-" + label.upper())
-                 bboxes.append(normalize_bbox(words[0]["box"], size))
-                 for w in words[1:]:
+                tokens.append(words[0]["text"])
+                ner_tags.append("B-" + label.upper())
+                bboxes.append(normalize_bbox(words[0]["box"], size))
+                for w in words[1:]:
                       tokens.append(w["text"])
                       ner_tags.append("I-" + label.upper())
-                      bboxes.append(normalize_bbox(w["box"], size))
+                      bboxes.append(normalize_bbox(w["box"], size))  
+               
+                 
                
 
             yield guid, {"id": str(guid), "tokens": tokens, "bboxes": bboxes, "ner_tags": ner_tags, "image": image}