Datasets:
Tasks:
Other
Sub-tasks:
part-of-speech
Languages:
Polish
Multilinguality:
monolingual
Size Categories:
unknown
Language Creators:
other
Annotations Creators:
expert-generated
Source Datasets:
original
License:
| import json | |
| import os | |
| from collections import defaultdict | |
| from pathlib import Path | |
| from typing import List, Union, Tuple, Set, Any | |
| from bs4 import BeautifulSoup, Tag | |
| from tqdm import tqdm | |
| NKJP_PATH = "NKJP-PodkorpusMilionowy-1.2" | |
| def get_split() -> Tuple[Set[str], Set[str]]: | |
| with open("data/split/train.txt", "r") as f: | |
| train = list(f.readlines()) | |
| with open("data/split/test.txt", "r") as f: | |
| test = list(f.readlines()) | |
| train = [x.strip() for x in train] | |
| test = [x.strip() for x in test] | |
| train_set = set(train) | |
| test_set = set(test) | |
| assert len(train_set) == len(train) | |
| assert len(test_set) == len(test) | |
| return train_set, test_set | |
| def parse_sentence(sentence_tag: Tag) -> dict[str, Any]: | |
| sentence = defaultdict(list) | |
| for seg in sentence_tag.find_all("seg"): # słowo | |
| [f_orth] = seg.find_all("f", attrs={"name": "orth"}) | |
| sentence["tokens"].append(f_orth.getText().strip()) | |
| [f_orth] = seg.find_all("f", attrs={"name": "disamb"}) | |
| sentence["pos_tags"].append(f_orth.getText().strip().split(":")[1]) | |
| assert len(sentence["tokens"]) == len(sentence["pos_tags"]) | |
| return dict(sentence) | |
| def parse_tei_file(path: Path) -> List[dict[str, Union[List[str], str]]]: | |
| with open(path, "r") as tei: | |
| soup = BeautifulSoup(tei, "lxml") | |
| result = [] | |
| for p in soup.find_all("p"): | |
| for s in p.find_all("s"): | |
| example = parse_sentence(s) | |
| example["id"] = f"{path.parent.name}_{s['xml:id']}" | |
| result.append(example) | |
| return result | |
| train_names, test_names = get_split() | |
| train, test = [], [] | |
| for entry in tqdm(list(os.scandir(NKJP_PATH))): | |
| if entry.is_dir(): | |
| file_data = parse_tei_file(Path(entry.path) / "ann_morphosyntax.xml") | |
| if entry.name in train_names: | |
| train += file_data | |
| elif entry.name in test_names: | |
| test += file_data | |
| else: | |
| raise ValueError(f"Couldn't find file in splits: {entry.name}") | |
| with open("data/train.jsonl", "w") as f: | |
| for item in train: | |
| f.write(json.dumps(item, ensure_ascii=False) + "\n") | |
| with open("data/test.jsonl", "w") as f: | |
| for item in test: | |
| f.write(json.dumps(item, ensure_ascii=False) + "\n") | |