Delete genmix50k.py

genmix50k.py

@@ -1,82 +0,0 @@
-import os
-import json
-import datasets
-
-_DESCRIPTION = """
-"""
-
-_CITATION = """
-"""
-
-_LICENCE = """
-"""
-
-_FEATURES = datasets.Features({
-    "x": datasets.Value(dtype="string"),
-    "y": datasets.Value(dtype="string")
-})
-
-class GenMix50kConfig(datasets.BuilderConfig):
-    def __init__(self, features, citation, **kwargs):
-        super(GenMix50kConfig, self).__init__(version=datasets.Version("1.0.3"), **kwargs)
-        self.features = features
-        self.citation = citation
-
-class GenMix50k(datasets.GeneratorBasedBuilder):
-    BUILDER_CONFIGS = [
-        GenMix50kConfig(
-            name="translation",
-            data_dir="./translation",
-            features=_FEATURES,
-            citation=_CITATION
-        ),
-        GenMix50kConfig(
-            name="dialogue",
-            data_dir="./dialogue",
-            features=_FEATURES,
-            citation=_CITATION
-        ),
-        GenMix50kConfig(
-            name="summarization",
-            data_dir="./summarization",
-            features=_FEATURES,
-            citation=_CITATION
-        )
-    ]
-
-    def _info(self) -> datasets.DatasetInfo:
-        """Returns the dataset metadata."""
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=self.config.features,
-            citation=self.config.citation,
-            license=_LICENCE,
-            supervised_keys=None
-        )
-
-    def _split_generators(self, dl_manager: datasets.DownloadManager):
-        """Returns SplitGenerators"""
-        data_dir = os.path.join(dl_manager.manual_dir, self.config.name)
-        path_kv = {
-            datasets.Split.TRAIN: os.path.join(data_dir, "train.json"),
-            datasets.Split.VALIDATION: os.path.join(data_dir, "valid.json"),
-            datasets.Split.TEST: os.path.join(data_dir, "test.json")
-        }
-
-        splits = []
-        for split, path in path_kv.items():
-            if os.path.isfile(path):
-                splits.append(datasets.SplitGenerator(name=split, gen_kwargs={"filepath": path}))
-            else:
-                print(f"Warning: File not found for {split} split: {path}")
-
-        if not splits:
-            raise datasets.data_files.DataFilesNotFoundError(f"No valid data files found in {data_dir} for splits: {path_kv.keys()}")
-
-        return splits
-
-    def _generate_examples(self, filepath):
-        with open(filepath, encoding="utf-8") as f:
-            for idx, line in enumerate(f):
-                example = json.loads(line)
-                yield idx, example