Download scripts/create_ddt_compatible_splits_for_cdt.py from chcaa/dacy-data: direct link, hf CLI and curl.
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2.06 kB
| # 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) | |