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