Fix loader name

cst-wikinews.py

@@ -0,0 +1,85 @@
+"""CST Wikinews classification dataset."""
+
+import csv
+from pathlib import Path
+from typing import List, Tuple, Dict, Generator
+
+import datasets
+
+
+_DESCRIPTION = """CST Wikinews dataset."""
+
+_URLS = {
+    "train": "https://huggingface.co/datasets/clarin-pl/cst-wikinews/resolve/main/train.csv",
+    "test": "https://huggingface.co/datasets/clarin-pl/cst-wikinews/resolve/main/test.csv",
+}
+
+
+_LABELS = [
+    "Brak_relacji",
+    "Dalsze_informacje",
+    "Krzyżowanie_się",
+    "Opis",
+    "Parafraza",
+    "Spełnienie",
+    "Streszczenie",
+    "Tożsamość",
+    "Tło_historyczne",
+    "Uszczegółowienie",
+    "Zawieranie",
+    "Źródło",
+]
+
+
+class CSTWikinews(datasets.GeneratorBasedBuilder):
+    """AG News topic classification dataset."""
+
+    def _info(self) -> datasets.DatasetInfo:
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "sentence_1": datasets.Value("string"),
+                    "sentence_2": datasets.Value("string"),
+                    "label": datasets.features.ClassLabel(
+                        names=_LABELS, num_classes=len(_LABELS)
+                    ),
+                }
+            ),
+        )
+
+    def _split_generators(
+        self, dl_manager: datasets.DownloadManager
+    ) -> List[datasets.SplitGenerator]:
+        urls_to_download = _URLS
+        downloaded_files = dl_manager.download_and_extract(urls_to_download)
+        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: str
+    ) -> Generator[Tuple[int, Dict[str, str]], None, None]:
+        """Generate AG News examples."""
+        with Path(filepath, encoding="utf-8").open() as csv_file:
+            csv_reader = csv.reader(
+                csv_file,
+                delimiter=",",
+                quoting=csv.QUOTE_ALL,
+                skipinitialspace=True,
+            )
+            next(csv_reader, None)  # skip the headers
+            for row_id, (s1, s2, label) in enumerate(csv_reader):
+                label = int(label)
+                yield row_id, {
+                    "sentence_1": s1,
+                    "sentence_2": s2,
+                    "label": label,
+                }