Delete EnglishNLPDataset.py

EnglishNLPDataset.py

@@ -1,90 +0,0 @@
-"""English review multi-classification dataset."""
-
-
-import csv
-import datasets
-from datasets.tasks import TextClassification
-
-_CITATION = """\
-----EnglishNLPDataset----
-"""
-
-_DESCRIPTION = """\
-The dataset, prepared in English, includes 10.000 tests, 10.000 validations and 80000 train data.
-The data is composed of customer comments and created from e-commerce sites.
-"""
-
-
-_TRAIN_DOWNLOAD_URL = "https://raw.githubusercontent.com/BihterDass/EnglishTextClassificationDataset/main/train.csv"
-_VALIDATION_DOWNLOAD_URL ="https://raw.githubusercontent.com/BihterDass/EnglishTextClassificationDataset/main/dev.csv"
-_TEST_DOWNLOAD_URL = "https://raw.githubusercontent.com/BihterDass/EnglishTextClassificationDataset/main/test.csv"
-
-class EnglishNLPDatasetConfig(datasets.BuilderConfig):
-    """BuilderConfig for EnglishNLPDataset Config"""
-
-    def __init__(self, **kwargs):
-        """BuilderConfig for EnglishNLPDatasetConfig
-        Args:
-          **kwargs: keyword arguments forwarded to super.
-        """
-        super(EnglishNLPDatasetConfig, self).__init__(**kwargs)
-
-class EnglishNLPDataset(datasets.GeneratorBasedBuilder):
-    """EnglishNLPDataset Classification dataset."""
-    BUILDER_CONFIGS = [
-       EnglishNLPDatasetConfig(
-            name="EnglishData",
-            version=datasets.Version("1.0.0"),
-            description="EnglishNLPDataset: It is a classification study that will contribute to natural language processing operations.",
-        ),
-    ]
-    def _info(self):
-      
-        return datasets.DatasetInfo(
-            # This is the description that will appear on the datasets page.
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "text": datasets.Value("string"),
-                    "label": datasets.ClassLabel(names=["neg", "nor","pos"]),
-                }
-            ),
-            supervised_keys=None,
-            # Homepage of the dataset for documentation
-            homepage="https://github.com/BihterDass/EnglishTextClassificationDataset",
-            citation=_CITATION,
-	    task_templates=[TextClassification(text_column="text", label_column="label")],
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-
-        train_path = dl_manager.download_and_extract(_TRAIN_DOWNLOAD_URL)
-        validation_path = dl_manager.download_and_extract(_VALIDATION_DOWNLOAD_URL)
-        test_path = dl_manager.download_and_extract(_TEST_DOWNLOAD_URL)
-
-        return [
-            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": train_path}),
-            datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": validation_path}),
-            datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": test_path}),
-        ]
-
-    def _generate_examples(self, filepath):
-        """Yields examples."""
-        with open(filepath, encoding="utf-8") as csv_file:
-            csv_reader = csv.reader(
-                csv_file,
-                delimiter=",",
-                quoting=csv.QUOTE_ALL,
-                skipinitialspace=True,
-            )
-            for id_, row in enumerate(csv_reader):
-                (
-                    text,
-                    label,
-                ) = row
-
-                yield id_, {
-                    "text": text,
-                    "label": int(label),
-                }