Delete jhumaneval.py

jhumaneval.py

@@ -1,63 +0,0 @@
-import json
-import datasets
-
-
-_DESCRIPTION = """\
-This is a Japanese translated version of HumanEval, an evaluation harness for the HumanEval problem solving dataset described in the paper "Evaluating Large Language Models Trained on Code".
-"""
-
-_URL = "https://raw.githubusercontent.com/KuramitsuLab/jhuman-eval/main/data/jhuman-eval.jsonl.gz"
-
-_LICENSE = "MIT"
-
-
-class JHumaneval(datasets.GeneratorBasedBuilder):
-    VERSION = datasets.Version("0.1.0")
-
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(
-            name="jhumaneval",
-            version=VERSION, 
-            description=_DESCRIPTION,
-        )
-    ]
-
-    def _info(self):
-        features = datasets.Features(
-            {
-                "task_id": datasets.Value("string"),
-                "prompt_en": datasets.Value("string"),
-                "prompt": datasets.Value("string"),
-                "entry_point": datasets.Value("string"),
-                "canonical_solution": datasets.Value("string"),
-                "test": datasets.Value("string"),
-            }
-        )
-
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=features,
-            supervised_keys=None,
-            license=_LICENSE,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        data_dir = dl_manager.download_and_extract(_URL)
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={
-                    "filepath": data_dir, 
-                },
-            )
-        ]
-
-    def _generate_examples(self, filepath):
-        """Yields examples."""
-        with open(filepath, encoding="utf-8") as file:
-            data = [json.loads(line) for line in file]
-            id_ = 0
-            for sample in data:
-                yield id_, sample
-                id_ += 1