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:
| # coding=utf-8 | |
| # Copyright 2021 The TensorFlow Datasets Authors and the HuggingFace Datasets Authors. | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| # Lint as: python3 | |
| """NKJP-POS tagging dataset.""" | |
| import json | |
| from typing import List, Tuple, Dict, Generator | |
| import datasets | |
| _DESCRIPTION = """NKJP-POS tagging dataset.""" | |
| _URLS = { | |
| "train": "https://huggingface.co/datasets/clarin-pl/nkjp-pos/resolve/main/data/train.jsonl", | |
| "test": "https://huggingface.co/datasets/clarin-pl/nkjp-pos/resolve/main/data/test.jsonl", | |
| } | |
| _HOMEPAGE = "http://clip.ipipan.waw.pl/NationalCorpusOfPolish" | |
| _POS_TAGS = { | |
| "adj", | |
| "adja", | |
| "adjc", | |
| "adjp", | |
| "adv", | |
| "aglt", | |
| "bedzie", | |
| "brev", | |
| "burk", | |
| "comp", | |
| "conj", | |
| "depr", | |
| "fin", | |
| "ger", | |
| "imps", | |
| "impt", | |
| "inf", | |
| "interj", | |
| "interp", | |
| "num", | |
| "numcol", | |
| "pact", | |
| "pant", | |
| "pcon", | |
| "ppas", | |
| "ppron12", | |
| "ppron3", | |
| "praet", | |
| "pred", | |
| "prep", | |
| "qub", | |
| "siebie", | |
| "subst", | |
| "winien", | |
| "xxx", | |
| } | |
| class NKJPPOS(datasets.GeneratorBasedBuilder): | |
| VERSION = datasets.Version("1.1.0") | |
| def _info(self) -> datasets.DatasetInfo: | |
| return datasets.DatasetInfo( | |
| description=_DESCRIPTION, | |
| features=datasets.Features( | |
| { | |
| "id": datasets.Value("string"), | |
| "tokens": datasets.Sequence(datasets.Value("string")), | |
| "pos_tags": datasets.Sequence( | |
| datasets.features.ClassLabel( | |
| names=list(_POS_TAGS), num_classes=len(_POS_TAGS) | |
| ) | |
| ), | |
| } | |
| ), | |
| homepage=_HOMEPAGE, | |
| version=self.VERSION, | |
| ) | |
| def _split_generators( | |
| self, dl_manager: datasets.DownloadManager | |
| ) -> List[datasets.SplitGenerator]: | |
| urls_to_download = _URLS | |
| downloaded_files = dl_manager.download_and_extract(urls_to_download) | |
| return [ | |
| datasets.SplitGenerator( | |
| name=datasets.Split.TRAIN, | |
| gen_kwargs={"filepath": downloaded_files["train"]}, | |
| ), | |
| datasets.SplitGenerator( | |
| name=datasets.Split.TEST, | |
| gen_kwargs={"filepath": downloaded_files["test"]}, | |
| ), | |
| ] | |
| def _clean_line(data_line: Dict): | |
| new_tokens = [] | |
| new_pos_tags = [] | |
| for token, pos_tag in zip(data_line["tokens"], data_line["pos_tags"]): | |
| if pos_tag in _POS_TAGS: | |
| new_tokens.append(token) | |
| new_pos_tags.append(pos_tag) | |
| data_line["tokens"] = new_tokens | |
| data_line["pos_tags"] = new_pos_tags | |
| assert len(data_line["tokens"]) == len(data_line["pos_tags"]) | |
| return data_line | |
| def _generate_examples( | |
| self, filepath: str | |
| ) -> Generator[Tuple[str, Dict[str, str]], None, None]: | |
| with open(filepath, "r", encoding="utf-8") as f: | |
| for line in f: | |
| data_line = self._clean_line(json.loads(line)) | |
| yield data_line["id"], data_line | |