from pathlib import Path from typing import Dict, List, Tuple import datasets from seacrowd.sea_datasets.x_fact.utils.x_fact_utils import \ load_x_fact_dataset from seacrowd.utils.configs import SEACrowdConfig from seacrowd.utils.constants import Tasks _CITATION = """\ @inproceedings{gupta2021xfact, title={{X-FACT: A New Benchmark Dataset for Multilingual Fact Checking}}, author={Gupta, Ashim and Srikumar, Vivek}, booktitle = "Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics", month = jul, year = "2021", address = "Online", publisher = "Association for Computational Linguistics", } """ _DATASETNAME = "x_fact" _DESCRIPTION = """\ X-FACT: the largest publicly available multilingual dataset for factual verification of naturally existing realworld claims. """ _HOMEPAGE = "https://github.com/utahnlp/x-fact" _LANGUAGES = [ 'ara', 'aze', 'ben', 'deu', 'spa', 'fas', 'fra', 'guj', 'hin', 'ind', 'ita', 'kat', 'mar', 'nor', 'nld', 'pan', 'pol', 'por', 'ron', 'rus', 'sin', 'srp', 'sqi', 'tam', 'tur' ] _LOCAL = False _LICENSE = "MIT" _URLS = { "train": "https://raw.githubusercontent.com/utahnlp/x-fact/main/data/x-fact-including-en/train.all.tsv", "validation": "https://raw.githubusercontent.com/utahnlp/x-fact/main/data/x-fact-including-en/dev.all.tsv", "test": { "in_domain": "https://raw.githubusercontent.com/utahnlp/x-fact/main/data/x-fact-including-en/test.all.tsv", "out_domain": "https://raw.githubusercontent.com/utahnlp/x-fact/main/data/x-fact-including-en/ood.tsv", }, } _SUPPORTED_TASKS = [Tasks.FACT_CHECKING] _SOURCE_VERSION = "1.0.0" _SEACROWD_VERSION = "2024.06.20" class XFact(datasets.GeneratorBasedBuilder): """X-FACT: the largest publicly available multilingual dataset for factual verification of naturally existing realworld claims.""" SOURCE_VERSION = datasets.Version(_SOURCE_VERSION) SEACROWD_VERSION = datasets.Version(_SEACROWD_VERSION) BUILDER_CONFIGS = [ SEACrowdConfig( name="x_fact_source", version=SOURCE_VERSION, description="x_fact source schema", schema="source", subset_id="x_fact", ), ] DEFAULT_CONFIG_NAME = "x_fact_source" def _info(self) -> datasets.DatasetInfo: if self.config.schema == "source": features = datasets.Features( { "language": datasets.Value("string"), "site": datasets.Value("string"), "evidence_1": datasets.Value("string"), "evidence_2": datasets.Value("string"), "evidence_3": datasets.Value("string"), "evidence_4": datasets.Value("string"), "evidence_5": datasets.Value("string"), "link_1": datasets.Value("string"), "link_2": datasets.Value("string"), "link_3": datasets.Value("string"), "link_4": datasets.Value("string"), "link_5": datasets.Value("string"), "claimDate": datasets.Value("string"), "reviewDate": datasets.Value("string"), "claimant": datasets.Value("string"), "claim": datasets.Value("string"), "label": datasets.Value("string"), } ) return datasets.DatasetInfo( description=_DESCRIPTION, features=features, homepage=_HOMEPAGE, license=_LICENSE, citation=_CITATION, ) def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]: return [ datasets.SplitGenerator( name=datasets.Split.TRAIN, gen_kwargs={ "filepath": _URLS["train"], "split": "train", }, ), datasets.SplitGenerator( name=datasets.Split.VALIDATION, gen_kwargs={ "filepath": _URLS["validation"], "split": "dev", }, ), datasets.SplitGenerator( name=datasets.splits.NamedSplit("TEST_IN_DOMAIN"), gen_kwargs={ "filepath": _URLS["test"]["in_domain"], "split": "test_in_domain", }, ), datasets.SplitGenerator( name=datasets.splits.NamedSplit("TEST_OUT_DOMAIN"), gen_kwargs={ "filepath": _URLS["test"]["out_domain"], "split": "test_out_domain", }, ), ] def _generate_examples(self, filepath: Path, split: str) -> Tuple[int, Dict]: df = load_x_fact_dataset(filepath) if self.config.schema == "source": for row in df.itertuples(): entry = { "language": row.language, "site": row.site, "evidence_1": row.evidence_1, "evidence_2": row.evidence_2, "evidence_3": row.evidence_3, "evidence_4": row.evidence_4, "evidence_5": row.evidence_5, "link_1": row.link_1, "link_2": row.link_2, "link_3": row.link_3, "link_4": row.link_4, "link_5": row.link_5, "claimDate": row.claimDate, "reviewDate": row.reviewDate, "claimant": row.claimant, "claim": row.claim, "label": row.label, } yield row.index, entry