fe41a42ff872debbc18f465f003a314f5ad19d29,nala/utils/tagger.py,TmVarTagger,generate_abstracts,#TmVarTagger#Any#,42

Before Change

        exit()

        for doc_id, doc in dataset.documents.items():
            if doc_id in tm_var:
                denotations = tm_var[doc_id]["denotations"]
                text = tm_var[doc_id]["text"]
                denotations = [text[d["span"]["begin"]:d["span"]["end"]] for d in denotations]

                for part_id, part in doc.parts.items():
                    for ann in chain(part.annotations, part.predicted_annotations):
                        if ann.class_id == MUT_CLASS_ID and ann.text not in denotations:
                            ann.subclass = True

After Change

        for key in tm_var:
            print(json.dumps(tm_var[key], indent=4))

        dataset = Dataset()
        for doc_id in tm_var:
            doc = Document()
            text = tm_var[doc_id]["text"]
            part = Part(text)

Instances