File size: 2,059 Bytes
a221720 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 | # 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)
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