better

.gitignore

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+
+hftrain_en.json
+hfeval_es.json

WikiCAT_esv2.py

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+# Loading script for the TeCla dataset.
+import json
+import datasets
+
+logger = datasets.logging.get_logger(__name__)
+
+_CITATION = """
+
+            """
+
+_DESCRIPTION = """
+                   WikiCAT: Text Classification Spanish dataset from the Viquipedia
+
+               """
+
+_HOMEPAGE = """   """
+
+# TODO: upload datasets to github
+_URL = "https://huggingface.co/datasets/crodri/WikiCAT_esv2/tree/main"
+_TRAINING_FILE = "hftrain_esv5.json"
+_DEV_FILE = "hfeval_esv5.json"
+#_TEST_FILE = "test.json"
+
+
+class wikiCAT_esConfig(datasets.BuilderConfig):
+    """ Builder config for the Topicat dataset """
+
+    def __init__(self, **kwargs):
+        """BuilderConfig for wikiCAT_es.
+        Args:
+          **kwargs: keyword arguments forwarded to super.
+        """
+        super(wikiCAT_esConfig, self).__init__(**kwargs)
+
+
+class wikiCAT_es(datasets.GeneratorBasedBuilder):
+    """ wikiCAT_es Dataset """
+
+    BUILDER_CONFIGS = [
+        wikiCAT_esConfig(
+            name="wikiCAT_es",
+            version=datasets.Version("1.1.0"),
+            description="wikiCAT_es",
+        ),
+    ]
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "text": datasets.Value("string"),
+                    "label": datasets.features.ClassLabel
+                        (names= ['Religión', 'Entretenimiento', 'Música', 'Ciencia_y_Tecnología', 'Política', 'Economía', 'Matemáticas', 'Humanidades', 'Deporte', 'Derecho', 'Historia', 'Filosofía']
+                    ),
+                }
+            ),
+            homepage=_HOMEPAGE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        urls_to_download = {
+            "train": f"{_URL}{_TRAINING_FILE}",
+            "dev": f"{_URL}{_DEV_FILE}",
+#            "test": f"{_URL}{_TEST_FILE}",
+        }
+        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.VALIDATION, gen_kwargs={"filepath": downloaded_files["dev"]}),
+#            datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["test"]}),
+        ]
+
+    def _generate_examples(self, filepath):
+        """This function returns the examples in the raw (text) form."""
+        logger.info("generating examples from = %s", filepath)
+        with open(filepath, encoding="utf-8") as f:
+            wikiCAT_es = json.load(f)
+            for id_, article in enumerate(wikiCAT_es["data"]):
+                text = article["sentence"]
+                label = article["label"]
+                yield id_, {
+                    "text": text,
+                    "label": label,
+                }

hftrain_en.json

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:1257bce9d7535db27a79b840f91b74a4337f6d990d597ba9371e35625c232f4f
-size 20472652