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""" |
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NOTE: This file implements translation tasks using datasets from WMT conferences, |
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provided by sacrebleu. Traditionally they are evaluated with BLEU scores. TER |
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and CHRF are other options. |
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We defer citations and descriptions of the many translations tasks used |
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here to the SacreBLEU repo from which we've obtained the datasets: |
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https://github.com/mjpost/sacrebleu/blob/master/sacrebleu/dataset.py |
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Homepage: https://github.com/mjpost/sacrebleu/blob/master/sacrebleu/dataset.py |
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""" |
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from sacrebleu import sacrebleu |
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import datasets |
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import os |
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import json |
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_CITATION = """ |
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@inproceedings{post-2018-call, |
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title = "A Call for Clarity in Reporting {BLEU} Scores", |
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author = "Post, Matt", |
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booktitle = "Proceedings of the Third Conference on Machine Translation: Research Papers", |
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month = oct, |
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year = "2018", |
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address = "Belgium, Brussels", |
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publisher = "Association for Computational Linguistics", |
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url = "https://www.aclweb.org/anthology/W18-6319", |
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pages = "186--191", |
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} |
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""" |
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class SacrebleuManual(datasets.GeneratorBasedBuilder): |
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VERSION = datasets.Version("1.0.0") |
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names = [name for name in list(sacrebleu.get_available_testsets()) if name not in ["wmt23", "wmt24"] and "wmt21" not in name] |
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print(names) |
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BUILDER_CONFIGS = [ |
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datasets.BuilderConfig(name=f"{name.replace('/', '_')}_{langpair}", version=datasets.Version("1.0.0"), description="") |
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for name in names |
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for langpair in sacrebleu.get_langpairs_for_testset(name) |
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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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"translation": datasets.Value("string"), |
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} |
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) |
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return datasets.DatasetInfo( |
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description=f"Sacrebleu\n{self.config.description}", |
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features=features, |
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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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downloaded_files = dl_manager.download(f"{os.path.join(*self.config.name.split('_'))}.jsonl") |
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print(downloaded_files) |
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return [ |
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datasets.SplitGenerator( |
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name=datasets.Split.TEST, |
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gen_kwargs={"path": downloaded_files}, |
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) |
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] |
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def _generate_examples(self, path): |
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with open(path, encoding="utf-8") as f: |
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for key, row in enumerate(f): |
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yield key, json.loads(row) |
