Upload ru_anglicism.py

ru_anglicism.py

@@ -0,0 +1,52 @@
+import json
+from typing import List
+
+import datasets
+
+
+_DESCRIPTION = "Russian dataset for detection and substraction of anglicisms."
+_URLS = {
+    "train": "data/train.jsonl",
+    "test": "data/test.jsonl"
+}
+_LICENSE = "apache-2.0"
+
+
+class GazetaDataset(datasets.GeneratorBasedBuilder):
+    """Gazeta Dataset"""
+
+    VERSION = datasets.Version("0.2.0")
+
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(name="default", version=VERSION, description=""),
+    ]
+
+    DEFAULT_CONFIG_NAME = "default"
+
+    def _info(self):
+        features = datasets.Features(
+            {
+                "word": datasets.Value("string"),
+                "form": datasets.Value("string"),
+                "sentence": datasets.Value("string"),
+                "paraphrase": datasets.Value("string")
+            }
+        )
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features,
+            supervised_keys=("sentence", "paraphrase"),
+        )
+
+    def _split_generators(self, dl_manager):
+        downloaded_files = dl_manager.download_and_extract(_URLS)
+        return [
+            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]}),
+            datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["test"]})
+        ]
+
+    def _generate_examples(self, filepath):
+        with open(filepath, encoding="utf-8") as f:
+            for id_, row in enumerate(f):
+                data = json.loads(row)
+                yield id_, data