Delete loading script

sacrebleu_manual.py

@@ -1,72 +0,0 @@
-"""
-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 = [name for name in list(sacrebleu.get_available_testsets()) if name not in ["wmt23", "wmt24"] and "wmt21" not in name]
-    print(names)
-
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(name=f"{name.replace('/', '_')}_{langpair}", version=datasets.Version("1.0.0"), description="")
-            for name in names
-            for langpair in sacrebleu.get_langpairs_for_testset(name)
-        ]
-
-    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},
-            )
-        ]
-
-    # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
-    def _generate_examples(self, path):
-        with open(path, encoding="utf-8") as f:
-            for key, row in enumerate(f):
-                yield key, json.loads(row)