Delete arman-ner.py

arman-ner.py

@@ -1,107 +0,0 @@
-import csv
-from ast import literal_eval
-
-import datasets
-
-logger = datasets.logging.get_logger(__name__)
-
-_CITATION = """
-@inproceedings{poostchi-etal-2018-bilstm,
-    title = "{B}i{LSTM}-{CRF} for {P}ersian Named-Entity Recognition {A}rman{P}erso{NERC}orpus: the First Entity-Annotated {P}ersian Dataset",
-    author = "Poostchi, Hanieh  and
-      Zare Borzeshi, Ehsan  and
-      Piccardi, Massimo",
-    booktitle = "Proceedings of the Eleventh International Conference on Language Resources and Evaluation ({LREC} 2018)",
-    month = may,
-    year = "2018",
-    address = "Miyazaki, Japan",
-    publisher = "European Language Resources Association (ELRA)",
-    url = "https://aclanthology.org/L18-1701",
-}
-"""
-
-_DESCRIPTION = """"""
-
-_DOWNLOAD_URLS = {
-    "train": "https://huggingface.co/datasets/hezarai/arman-ner/resolve/main/arman-ner_train.csv",
-    "test": "https://huggingface.co/datasets/hezarai/arman-ner/resolve/main/arman-ner_test.csv",
-}
-
-
-class ArmanNERConfig(datasets.BuilderConfig):
-    def __init__(self, **kwargs):
-        super(ArmanNERConfig, self).__init__(**kwargs)
-
-
-class ArmanNER(datasets.GeneratorBasedBuilder):
-    BUILDER_CONFIGS = [
-        ArmanNERConfig(
-            name="Arman-NER",
-            version=datasets.Version("1.0.0"),
-            description=_DESCRIPTION,
-        ),
-    ]
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "tokens": datasets.Sequence(datasets.Value("string")),
-                    "ner_tags": datasets.Sequence(
-                        datasets.features.ClassLabel(
-                            names=[
-                                "O",
-                                "B-pro",
-                                "I-pro",
-                                "B-pers",
-                                "I-pers",
-                                "B-org",
-                                "I-org",
-                                "B-loc",
-                                "I-loc",
-                                "B-fac",
-                                "I-fac",
-                                "B-event",
-                                "I-event"
-                            ]
-                        )
-                    ),
-                }
-            ),
-            homepage="https://huggingface.co/datasets/hezarai/arman-ner",
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """
-        Return SplitGenerators.
-        """
-
-        train_path = dl_manager.download_and_extract(_DOWNLOAD_URLS["train"])
-        test_path = dl_manager.download_and_extract(_DOWNLOAD_URLS["test"])
-
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN, gen_kwargs={"filepath": train_path}
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST, gen_kwargs={"filepath": test_path}
-            ),
-        ]
-
-    def _generate_examples(self, filepath):
-        logger.info("⏳ Generating examples from = %s", filepath)
-        with open(filepath, encoding="utf-8") as csv_file:
-            csv_reader = csv.reader(
-                csv_file, quotechar='"', skipinitialspace=True
-            )
-
-            next(csv_reader, None)
-
-            for id_, row in enumerate(csv_reader):
-                tokens, ner_tags = row
-                # Optional preprocessing here
-                tokens = literal_eval(tokens)
-                ner_tags = literal_eval(ner_tags)
-                yield id_, {"tokens": tokens, "ner_tags": ner_tags}