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from glob import glob |
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import json |
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import os |
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from pathlib import Path |
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import datasets |
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_URLS = { |
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"afqmc": "data/afqmc.jsonl", |
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"bustm": "data/bustm.jsonl", |
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"ccks2018_task3": "data/ccks2018_task3.jsonl", |
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"chinese_sts": "data/chinese_sts.jsonl", |
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"chip2019": "data/chip2019.jsonl", |
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"covid_19": "data/covid_19.jsonl", |
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"diac2019": "data/diac2019.jsonl", |
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"lcqmc": "data/lcqmc.jsonl", |
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} |
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_CITATION = """\ |
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@dataset{sentence_pair, |
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author = {Xing Tian}, |
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title = {sentence_pair}, |
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month = sep, |
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year = 2023, |
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publisher = {Xing Tian}, |
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version = {1.0}, |
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} |
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""" |
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class SentencePair(datasets.GeneratorBasedBuilder): |
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VERSION = datasets.Version("1.0.0") |
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configs = list() |
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for name in _URLS.keys(): |
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config = datasets.BuilderConfig(name=name, version=VERSION, description=name) |
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configs.append(config) |
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BUILDER_CONFIGS = [ |
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*configs |
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] |
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def _info(self): |
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features = datasets.Features( |
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{ |
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"sentence1": datasets.Value("string"), |
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"sentence2": datasets.Value("string"), |
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"label": datasets.Value("string"), |
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"category": datasets.Value("string"), |
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"data_source": datasets.Value("string"), |
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"split": datasets.Value("string"), |
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} |
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) |
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return datasets.DatasetInfo( |
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features=features, |
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supervised_keys=None, |
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homepage="", |
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license="", |
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citation=_CITATION, |
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) |
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def _split_generators(self, dl_manager): |
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"""Returns SplitGenerators.""" |
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url = _URLS[self.config.name] |
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dl_path = dl_manager.download(url) |
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archive_path = dl_path |
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return [ |
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datasets.SplitGenerator( |
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name=datasets.Split.TRAIN, |
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gen_kwargs={"archive_path": archive_path, "split": "train"}, |
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), |
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datasets.SplitGenerator( |
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name=datasets.Split.VALIDATION, |
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gen_kwargs={"archive_path": archive_path, "split": "validation"}, |
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), |
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datasets.SplitGenerator( |
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name=datasets.Split.TEST, |
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gen_kwargs={"archive_path": archive_path, "split": "test"}, |
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), |
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] |
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def _generate_examples(self, archive_path, split): |
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"""Yields examples.""" |
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archive_path = Path(archive_path) |
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idx = 0 |
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with open(archive_path, "r", encoding="utf-8") as f: |
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for row in f: |
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sample = json.loads(row) |
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if sample["split"] != split: |
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continue |
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yield idx, { |
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"sentence1": sample["sentence1"], |
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"sentence2": sample["sentence2"], |
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"label": sample["label"], |
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"category": sample["category"], |
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"data_source": sample["data_source"], |
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"split": sample["split"], |
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} |
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idx += 1 |
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if __name__ == '__main__': |
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pass |
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