| | """Co-occurrenceCitationQuintuple""" |
| |
|
| | import json |
| |
|
| | import datasets |
| | from datasets.tasks import QuestionAnsweringExtractive |
| |
|
| |
|
| | logger = datasets.logging.get_logger(__name__) |
| |
|
| |
|
| | _CITATION = """\ |
| | @inproceedings{xu2023exploring, |
| | title={Exploring and Verbalizing Academic Ideas by Concept Co-occurrence}, |
| | author={Xu, Yi and Sheng, Shuqian and Xue, Bo and Fu, Luoyi and Wang, Xinbing and Zhou, Chenghu}, |
| | booktitle={Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL)}, |
| | year={2023} |
| | } |
| | """ |
| |
|
| | _DESCRIPTION = """\ |
| | It is the official Co-occurrence Citation Quintuple dataset of paper \ |
| | Exploring and Verbalizing Academic Ideas by Concept Co-occurrence. |
| | """ |
| |
|
| | _URL = "https://github.com/xyjigsaw/Kiscovery" |
| |
|
| |
|
| | class QuintupleConfig(datasets.BuilderConfig): |
| | """BuilderConfig for Quintuple.""" |
| |
|
| | def __init__(self, **kwargs): |
| | """BuilderConfig for Quintuple. |
| | Args: |
| | **kwargs: keyword arguments forwarded to super. |
| | """ |
| | super(QuintupleConfig, self).__init__(**kwargs) |
| |
|
| |
|
| | class Quintuple(datasets.GeneratorBasedBuilder): |
| | """Quintuple: V202306""" |
| |
|
| | BUILDER_CONFIGS = [ |
| | QuintupleConfig( |
| | name="plain_text", |
| | version=datasets.Version("1.2023.06", ""), |
| | description="Plain text", |
| | ), |
| | ] |
| |
|
| | def _info(self): |
| | return datasets.DatasetInfo( |
| | description=_DESCRIPTION, |
| | features=datasets.Features( |
| | { |
| | "c1": datasets.Value("string"), |
| | "c2": datasets.Value("string"), |
| | "p": datasets.Value("string"), |
| | "p1": datasets.Value("string"), |
| | "p2": datasets.Value("string"), |
| | } |
| | ), |
| | |
| | |
| | supervised_keys=None, |
| | homepage="https://github.com/xyjigsaw/Kiscovery", |
| | citation=_CITATION, |
| | ) |
| |
|
| | def _generate_examples(self, filepath): |
| | """This function returns the examples in the raw (text) form.""" |
| | logger.info("generating examples from = %s", filepath) |
| | key = 0 |
| | with open(filepath, encoding="utf-8") as f: |
| | all_text = json.load(f) |
| | for item in all_text[:100]: |
| | yield key, { |
| | "c1": item[0], |
| | "c2": item[1], |
| | "p": item[2], |
| | "p1": item[3], |
| | "p2": item[4], |
| | } |
| | key += 1 |
| |
|
