Delete multi-wiki-clustering-p2p.py

multi-wiki-clustering-p2p.py

@@ -1,88 +0,0 @@
-import gzip
-import json
-from collections.abc import Generator
-
-import datasets
-
-_LANGUAGES = {
-    "da": "Danish",
-    "lv": "Latvian",
-    "sq": "Albanian",
-    "gv": "Manx",
-}
-_ALL_LANGUAGES = "all_languages"
-_DOWNLOAD_URL = "{lang}/{split}.jsonl.gz"
-_VERSION = "1.0.0"
-_DESCRIPTION = """
-A dataset of wikipedia paragraphs and corresponding top-level categories for multilingual clustering.
-"""
-
-
-class WikiClusteringP2PConfig(datasets.BuilderConfig):
-    """BuilderConfig for AmazonReviewsMultiConfig."""
-
-    def __init__(self, languages: dict[str, str] | None = None, **kwargs):  # noqa: ANN003
-        super().__init__(version=datasets.Version(_VERSION, ""), **kwargs)
-        self.languages = languages
-
-
-class WikiClusteringP2P(datasets.GeneratorBasedBuilder):
-
-    """Wikipedia Clustering"""
-
-    BUILDER_CONFIGS = [
-        WikiClusteringP2PConfig(
-            name=_ALL_LANGUAGES,
-            languages=_LANGUAGES,
-            description="A collection of wikipedia paragraphs and category labels to aid in multilingual clustering evaluation.",
-        ),
-    ] + [
-        WikiClusteringP2PConfig(
-            name=lang,
-            languages=[lang],
-            description=f"{_LANGUAGES[lang]} articles/labels for wikipedia articles",
-        )
-        for lang in _LANGUAGES
-    ]
-    BUILDER_CONFIG_CLASS = WikiClusteringP2PConfig
-    DEFAULT_CONFIG_NAME = _ALL_LANGUAGES
-
-    def _info(self) -> datasets.DatasetInfo:
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            supervised_keys=None,
-        )
-
-    def _split_generators(
-        self,
-        dl_manager: datasets.DownloadManager,
-    ) -> list[datasets.SplitGenerator]:
-        test_urls = [
-            _DOWNLOAD_URL.format(split="test", lang=lang)
-            for lang in self.config.languages
-        ]
-
-        test_paths = dl_manager.download_and_extract(test_urls)
-
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={"file_paths": []},
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                gen_kwargs={"file_paths": []},
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={"file_paths": test_paths},
-            ),
-        ]
-
-    def _generate_examples(self, file_paths: list[str]) -> Generator[tuple[int, dict]]:
-        row_count = 0
-        for file_path in file_paths:
-            with gzip.open(file_path, "rt", encoding="utf-8") as f:
-                for line in f:
-                    yield row_count, json.loads(line)
-                    row_count += 1