Add loader and dataset_infos

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,
+                }

dataset_infos.json

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+{"default": {"description": "CST Wikinews dataset.", "citation": "", "homepage": "", "license": "", "features": {"sentence_1": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_2": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 12, "names": ["Brak_relacji", "Dalsze_informacje", "Krzy\u017cowanie_si\u0119", "Opis", "Parafraza", "Spe\u0142nienie", "Streszczenie", "To\u017csamo\u015b\u0107", "T\u0142o_historyczne", "Uszczeg\u00f3\u0142owienie", "Zawieranie", "\u0179r\u00f3d\u0142o"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "builder_name": "cst_wikinews", "config_name": "default", "version": {"version_str": "0.0.0", "description": null, "major": 0, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 393238, "num_examples": 1534, "dataset_name": "cst_wikinews"}, "test": {"name": "test", "num_bytes": 99071, "num_examples": 384, "dataset_name": "cst_wikinews"}}, "download_checksums": {"https://huggingface.co/datasets/clarin-pl/cst-wikinews/resolve/main/train.csv": {"num_bytes": 378607, "checksum": "2e0533aba3abd5171a52f347d9554e906198c8ccf61f5d01d756623ea8ae2e58"}, "https://huggingface.co/datasets/clarin-pl/cst-wikinews/resolve/main/test.csv": {"num_bytes": 95413, "checksum": "c337cb053ed35e7e91032179efc12e5f8a4d1312b5d7f29b7b76b5ccc9e73562"}}, "download_size": 474020, "post_processing_size": null, "dataset_size": 492309, "size_in_bytes": 966329}}