# Code borrowed from DaCy (Kenneth) """ A script for creating splits for the copenhagen dependency treebank which align with DDT. """ import json from pathlib import Path from conllu import parse def load_cdt( assets_path=Path(__file__).parent.parent / "assets", ): """ Load the copenhagen dependency treebank / DaCoref dataset """ cdt_path = assets_path / "dacoref" / "CDT_coref.conllu" with cdt_path.open(encoding="utf-8") as f: text = f.read() sentences = parse( text, fields=[ "id", "form", "lemma", "upos", "xpos", "feats", "head", "deprel", "deps", "misc", "coref_id", "coref_rel", "doc_id", "qid", ], ) split_ids = {"train": [], "dev": [], "test": []} for split in split_ids: split_path = assets_path / "dacoref" / f"CDT_{split}_ids.json" with split_path.open(encoding="utf-8") as f: split_ids[split] = json.load(f) return sentences, split_ids sents, split_ids = load_cdt() doc_ids = {} _doc_id = "nan" for sent in sents: if "newdoc id" in sent.metadata: _doc_id = sent.metadata["newdoc id"] sent_id = sent.metadata["sent_id"] split = sent_id.split("-")[0] if _doc_id not in doc_ids: doc_ids[_doc_id] = [] doc_ids[_doc_id].append(split) test_docs = [] for s in split_ids["train"]: if s not in doc_ids: print("not in doc_ids") break if "test" in doc_ids[s]: test_docs.append(s) new_split = {"test": test_docs} dev_no_test = [s for s in split_ids["dev"] if s not in test_docs] new_split["dev"] = dev_no_test train_no_test = [s for s in split_ids["train"] if s not in test_docs] test_no_test = [s for s in split_ids["test"] if s not in test_docs] new_split["train"] = train_no_test + test_no_test with open("assets/CDT_ddt_compatible_splits.json", "w") as f: json.dump(new_split, f, indent=2)