Delete loading script

afrikaans_ner_corpus.py

@@ -1,135 +0,0 @@
-# coding=utf-8
-# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-""" Named entity annotated data from the NCHLT Text Resource Development: Phase II Project for Afrikaans"""
-
-
-import os
-
-import datasets
-
-
-logger = datasets.logging.get_logger(__name__)
-
-
-_CITATION = """\
-@inproceedings{afrikaans_ner_corpus,
-  author    = {	Gerhard van Huyssteen and
-                Martin Puttkammer and
-                E.B. Trollip and
-                J.C. Liversage and
-              Roald Eiselen},
-  title     = {NCHLT Afrikaans Named Entity Annotated Corpus},
-  booktitle = {Eiselen, R. 2016. Government domain named entity recognition for South African languages. Proceedings of the 10th      Language Resource and Evaluation Conference, Portorož, Slovenia.},
-  year      = {2016},
-  url       = {https://repo.sadilar.org/handle/20.500.12185/299},
-}
-"""
-
-_DESCRIPTION = """\
-Named entity annotated data from the NCHLT Text Resource Development: Phase II Project, annotated with PERSON, LOCATION, ORGANISATION and MISCELLANEOUS tags.
-"""
-
-_URL = "https://repo.sadilar.org/bitstream/handle/20.500.12185/299/nchlt_afrikaans_named_entity_annotated_corpus.zip?sequence=3&isAllowed=y"
-
-
-_EXTRACTED_FILE = "NCHLT Afrikaans Named Entity Annotated Corpus/Dataset.NCHLT-II.AF.NER.Full.txt"
-
-
-class AfrikaansNerCorpusConfig(datasets.BuilderConfig):
-    """BuilderConfig for AfrikaansNerCorpus"""
-
-    def __init__(self, **kwargs):
-        """BuilderConfig for AfrikaansNerCorpus.
-        Args:
-          **kwargs: keyword arguments forwarded to super.
-        """
-        super(AfrikaansNerCorpusConfig, self).__init__(**kwargs)
-
-
-class AfrikaansNerCorpus(datasets.GeneratorBasedBuilder):
-    """Afrikaans Ner dataset"""
-
-    BUILDER_CONFIGS = [
-        AfrikaansNerCorpusConfig(
-            name="afrikaans_ner_corpus",
-            version=datasets.Version("1.0.0"),
-            description="AfrikaansNerCorpus dataset",
-        ),
-    ]
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "id": datasets.Value("string"),
-                    "tokens": datasets.Sequence(datasets.Value("string")),
-                    "ner_tags": datasets.Sequence(
-                        datasets.features.ClassLabel(
-                            names=[
-                                "OUT",
-                                "B-PERS",
-                                "I-PERS",
-                                "B-ORG",
-                                "I-ORG",
-                                "B-LOC",
-                                "I-LOC",
-                                "B-MISC",
-                                "I-MISC",
-                            ]
-                        )
-                    ),
-                }
-            ),
-            supervised_keys=None,
-            homepage="https://repo.sadilar.org/handle/20.500.12185/299",
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        data_dir = dl_manager.download_and_extract(_URL)
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={"filepath": os.path.join(data_dir, _EXTRACTED_FILE)},
-            ),
-        ]
-
-    def _generate_examples(self, filepath):
-        logger.info("⏳ Generating examples from = %s", filepath)
-        with open(filepath, encoding="utf-8") as f:
-            guid = 0
-            tokens = []
-            ner_tags = []
-            for line in f:
-                if line == "" or line == "\n":
-                    if tokens:
-                        yield guid, {
-                            "id": str(guid),
-                            "tokens": tokens,
-                            "ner_tags": ner_tags,
-                        }
-                        guid += 1
-                        tokens = []
-                        ner_tags = []
-                else:
-                    splits = line.split("\t")
-                    tokens.append(splits[0])
-                    ner_tags.append(splits[1].rstrip())
-            yield guid, {
-                "id": str(guid),
-                "tokens": tokens,
-                "ner_tags": ner_tags,
-            }