Delete georeview-classification.py

georeview-classification.py

@@ -1,85 +0,0 @@
-import json
-import datasets
-
-
-_CITATION = """\
-"""
-
-_LICENSE = """\
-"""
-
-_DESCRIPTION = """\
-Review classification based on Yandex Georeview dataset.
-"""
-
-_LANGUAGES = {
-    "ru": "Russian"
-}
-_HOMEPAGE_URL = ""
-_DOWNLOAD_URL = "{split}.jsonl"
-_VERSION = "1.0.0"
-
-
-class GeoreviewClassConfig(datasets.BuilderConfig):
-    """BuilderConfig for GeoreviewCalssConfig."""
-
-    def __init__(self, languages=None, **kwargs):
-        super(GeoreviewClassConfig, self).__init__(version=datasets.Version(_VERSION, ""), **kwargs),
-        self.languages = languages
-
-
-class GeoreviewClass(datasets.GeneratorBasedBuilder):
-
-    """The Georeview Corpus"""
-
-    BUILDER_CONFIGS = [
-        GeoreviewClassConfig(
-            name='ru',
-            languages='ru',
-            description="Review classification based on Yandex Georeview dataset",
-        )
-    ]
-    BUILDER_CONFIG_CLASS = GeoreviewClassConfig
-    DEFAULT_CONFIG_NAME = 'ru'
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "id": datasets.Value("string"),
-                    "text": datasets.Value("string"),
-                    "label": datasets.Value("int32"),
-                    "label_text": datasets.Value("string"),
-                }
-            ),
-            supervised_keys=None,
-            license=_LICENSE,
-            homepage=_HOMEPAGE_URL,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        
-        train_urls = [_DOWNLOAD_URL.format(split="train")]
-        dev_urls = [_DOWNLOAD_URL.format(split="validation")]
-        test_urls = [_DOWNLOAD_URL.format(split="test")]
-
-        train_paths = dl_manager.download_and_extract(train_urls)
-        dev_paths = dl_manager.download_and_extract(dev_urls)
-        test_paths = dl_manager.download_and_extract(test_urls)
-        print(train_paths, dev_paths, test_paths)
-
-        return [
-            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"file_paths": train_paths}),
-            datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"file_paths": dev_paths}),
-            datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"file_paths": test_paths}),
-        ]
-
-    def _generate_examples(self, file_paths):
-        row_count = 0
-        for file_path in file_paths:
-            with open(file_path, "r", encoding="utf-8") as f:
-                for line in f:
-                    yield row_count, json.loads(line)
-                    row_count += 1