Datasets:
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| import os | |
| import json | |
| import datasets | |
| from datasets import BuilderConfig, Features, ClassLabel, Value, Sequence | |
| _DESCRIPTION = """ | |
| # 한국어 지시학습 데이터셋 | |
| - dbpedia_14 데이터셋을 한국어로 변역한 데이터셋 | |
| """ | |
| _CITATION = """ | |
| @inproceedings{KITD, | |
| title={언어 번역 모델을 통한 한국어 지시 학습 데이터 세트 구축}, | |
| author={임영서, 추현창, 김산, 장진예, 정민영, 신사임}, | |
| booktitle={제 35회 한글 및 한국어 정보처리 학술대회}, | |
| pages={591--595}, | |
| month=oct, | |
| year={2023} | |
| } | |
| """ | |
| # dbpedia_14 | |
| _DBPEDIA_14_FEATURES = Features({ | |
| "data_index_by_user": Value(dtype="int32"), | |
| "title": Value(dtype="string"), | |
| "content": Value(dtype="string"), | |
| "label": Value(dtype="int32"), | |
| }) | |
| def _parsing_dbpedia_14(file_path): | |
| with open(file_path, mode="r") as f: | |
| dataset = json.load(f) | |
| for _idx, data in enumerate(dataset): | |
| _data_index_by_user = data["data_index_by_user"] | |
| _title = data["title"] | |
| _content = data["content"] | |
| _label = data["label"] | |
| yield _idx, { | |
| "data_index_by_user": _data_index_by_user, | |
| "title": _title, | |
| "content": _content, | |
| "label": _label, | |
| } | |
| class Dbpedia_14Config(BuilderConfig): | |
| def __init__(self, name, feature, reading_fn, parsing_fn, citation, **kwargs): | |
| super(Dbpedia_14Config, self).__init__( | |
| name = name, | |
| version=datasets.Version("1.0.0"), | |
| **kwargs) | |
| self.feature = feature | |
| self.reading_fn = reading_fn | |
| self.parsing_fn = parsing_fn | |
| self.citation = citation | |
| class DBPEDIA_14(datasets.GeneratorBasedBuilder): | |
| BUILDER_CONFIGS = [ | |
| Dbpedia_14Config( | |
| name = "base", | |
| data_dir = "./dbpedia_14", | |
| feature = _DBPEDIA_14_FEATURES, | |
| reading_fn = _parsing_dbpedia_14, | |
| parsing_fn = lambda x:x, | |
| citation = _CITATION, | |
| ), | |
| ] | |
| def _info(self) -> datasets.DatasetInfo: | |
| """Returns the dataset metadata.""" | |
| return datasets.DatasetInfo( | |
| description=_DESCRIPTION, | |
| features=_DBPEDIA_14_FEATURES, | |
| citation=_CITATION, | |
| ) | |
| def _split_generators(self, dl_manager: datasets.DownloadManager): | |
| """Returns SplitGenerators""" | |
| path_kv = { | |
| datasets.Split.TRAIN:[ | |
| os.path.join(dl_manager.manual_dir, f"train.json") | |
| ], | |
| datasets.Split.TEST:[ | |
| os.path.join(dl_manager.manual_dir, f"test.json") | |
| ], | |
| } | |
| return [ | |
| datasets.SplitGenerator(name=k, gen_kwargs={"path_list": v}) | |
| for k, v in path_kv.items() | |
| ] | |
| def _generate_examples(self, path_list): | |
| """Yields examples.""" | |
| for path in path_list: | |
| try: | |
| for example in iter(self.config.reading_fn(path)): | |
| yield self.config.parsing_fn(example) | |
| except Exception as e: | |
| print(e) |