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

Before Change

                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 doc_id in tm_var:
            doc = Document()
            text = tm_var[doc_id]["text"]
            part = Part(text)
            denotations = tm_var[doc_id]["denotations"]
            annotations = []
            for deno in denotations:
                ann = Annotation(class_id="e_2", offset=int(deno["span"]["begin"]), text=text[deno["span"]["begin"]:deno["span"]["end"]])  // todo check whether right offsets (especially the last one)
                annotations.append(ann)
                // discussion should the annotations from tmvar go to predicted_annotations or annotations?
            part.annotations = annotations
            doc.parts["abstract"] = part
            dataset.documents[doc_id] = doc

        return dataset

Instances