eliminar etiquetas no usadas
Browse files- layout_documents.py +3 -3
layout_documents.py
CHANGED
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@@ -69,7 +69,7 @@ class LayoutLM(datasets.GeneratorBasedBuilder):
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"bboxes": datasets.Sequence(datasets.Sequence(datasets.Value("int64"))),
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"ner_tags": datasets.Sequence(
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datasets.features.ClassLabel(
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names=["O", "
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)
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),
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"image": datasets.features.Image(),
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@@ -130,11 +130,11 @@ class LayoutLM(datasets.GeneratorBasedBuilder):
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cur_line_bboxes.append(normalize_bbox(w["box"], size))
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else:
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tokens.append(words[0]["text"])
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ner_tags.append(
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cur_line_bboxes.append(normalize_bbox(words[0]["box"], size))
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for w in words[1:]:
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tokens.append(w["text"])
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-
ner_tags.append(
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cur_line_bboxes.append(normalize_bbox(w["box"], size))
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cur_line_bboxes = self.get_line_bbox(cur_line_bboxes)
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bboxes.extend(cur_line_bboxes)
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"bboxes": datasets.Sequence(datasets.Sequence(datasets.Value("int64"))),
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"ner_tags": datasets.Sequence(
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datasets.features.ClassLabel(
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names=["O", "HEADER", "SUBHEADER","TEXTO", "NUMERAL", "RESUMEN"]
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)
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),
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"image": datasets.features.Image(),
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cur_line_bboxes.append(normalize_bbox(w["box"], size))
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else:
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tokens.append(words[0]["text"])
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ner_tags.append(label.upper())
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cur_line_bboxes.append(normalize_bbox(words[0]["box"], size))
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for w in words[1:]:
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tokens.append(w["text"])
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ner_tags.append(label.upper())
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cur_line_bboxes.append(normalize_bbox(w["box"], size))
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cur_line_bboxes = self.get_line_bbox(cur_line_bboxes)
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bboxes.extend(cur_line_bboxes)
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