Se elimino etiquetas no usadas

layout_documents.py

@@ -69,7 +69,7 @@ class LayoutLM(datasets.GeneratorBasedBuilder):
                     "bboxes": datasets.Sequence(datasets.Sequence(datasets.Value("int64"))),
                     "ner_tags": datasets.Sequence(
                         datasets.features.ClassLabel(
-                            names=["O", "B-HEADER", "I-HEADER","B-SUBHEADER", "I-SUBHEADER","B-TEXTO", "I-TEXTO","B-NUMERAL", "I-NUMERAL", "B-RESUMEN", "I-RESUMEN"]
+                            names=["O", "HEADER","SUBHEADER", "TEXTO", "NUMERAL", "RESUMEN"]
                         )
                     ),
                     "image": datasets.features.Image(),
@@ -87,6 +87,9 @@ class LayoutLM(datasets.GeneratorBasedBuilder):
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN, gen_kwargs={"filepath": f"{downloaded_file}/dataset/training_data/"}
             ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST, gen_kwargs={"filepath": f"{downloaded_file}/dataset/testing_data/"}
+            ),
         ]
 
     def get_line_bbox(self, bboxs):
@@ -127,11 +130,11 @@ class LayoutLM(datasets.GeneratorBasedBuilder):
                         cur_line_bboxes.append(normalize_bbox(w["box"], size))
                 else:
                     tokens.append(words[0]["text"])
-                    ner_tags.append("B-" + label.upper())
+                    ner_tags.append(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())
+                        ner_tags.append(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)