Update metadata

cst-wikinews.py

@@ -1,3 +1,4 @@
+
 """CST Wikinews classification dataset."""
 
 import csv
@@ -14,8 +15,9 @@ _URLS = {
     "test": "https://huggingface.co/datasets/clarin-pl/cst-wikinews/resolve/main/test.csv",
 }
 
+_HOMEPAGE = "https://clarin-pl.eu/dspace/handle/11321/305"
 
-_LABELS = [
+_LABELS=[
     "Brak_relacji",
     "Dalsze_informacje",
     "Krzyżowanie_się",
@@ -42,10 +44,12 @@ class CSTWikinews(datasets.GeneratorBasedBuilder):
                     "sentence_1": datasets.Value("string"),
                     "sentence_2": datasets.Value("string"),
                     "label": datasets.features.ClassLabel(
-                        names=_LABELS, num_classes=len(_LABELS)
+                        names=_LABELS,
+                        num_classes=len(_LABELS)
                     ),
                 }
             ),
+            homepage=_HOMEPAGE,
         )
 
     def _split_generators(

cst_wikinews.py

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

@@ -1 +1 @@
-{"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}}
+{"default": {"description": "CST Wikinews dataset.", "citation": "", "homepage": "https://clarin-pl.eu/dspace/handle/11321/305", "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}}