Upload georeview-classification.py

georeview-classification.py

@@ -0,0 +1,85 @@
+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