Delete loading script

GermEval18.py

@@ -1,103 +0,0 @@
-# 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.
-"""Loader script for the GermEval 18 dataset"""
-
-
-import csv
-import json
-import os
-
-import datasets
-
-
-_CITATION = """\
-@data{data/0B5VML_2019,
-author = {Wiegand, Michael},
-publisher = {heiDATA},
-title = {{GermEval-2018 Corpus (DE)}},
-year = {2019},
-version = {V1},
-doi = {10.11588/data/0B5VML},
-url = {https://doi.org/10.11588/data/0B5VML}
-}
-"""
-
-_DESCRIPTION = """\
-This dataset comprises the training and test data (German tweets) from the GermEval 2018 Shared on Offensive Language Detection.
-"""
-
-_HOMEPAGE = "https://doi.org/10.11588/data/0B5VML"
-
-_LICENSE = "CC-BY-4.0 Deed"
-
-# The files are pulled from the official GitHub repository.
-# https://github.com/uds-lsv/GermEval-2018-Data
-# We use the hashed URL from master branch / June 3th 2024.
-_URLS = {
-    "germeval18.test.txt":  "https://raw.githubusercontent.com/uds-lsv/GermEval-2018-Data/9877472d39523effd54cd079b4c61157ed141508/germeval2018.test.txt",
-    "germeval18.train.txt": "https://raw.githubusercontent.com/uds-lsv/GermEval-2018-Data/9877472d39523effd54cd079b4c61157ed141508/germeval2018.training.txt",
-}
-
-class GermEval18(datasets.GeneratorBasedBuilder):
-    """The GermEval18 dataset"""
-
-    VERSION = datasets.Version("1.1.0")
-
-    def _info(self):
-        features = datasets.Features(
-            {
-                "text": datasets.Value("string"),
-                'coarse': datasets.ClassLabel(num_classes=2, names=['OTHER', 'OFFENSE'], names_file=None, id=None),
-                'fine': datasets.ClassLabel(num_classes=4, names=['OTHER', 'ABUSE', 'INSULT', 'PROFANITY'], names_file=None, id=None),
-            }
-        )
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=features,
-            homepage=_HOMEPAGE,
-            license=_LICENSE,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        downloaded_files = dl_manager.download(_URLS)
-
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "filepath": downloaded_files["germeval18.train.txt"],
-                    "split": "train",
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={
-                    "filepath": downloaded_files["germeval18.test.txt"],
-                    "split": "test"
-                },
-            ),
-        ]
-
-    def _generate_examples(self, filepath, split):
-        with open(filepath, encoding="utf-8") as f:
-            for key, row in enumerate(f):
-                # Every line only has two "\t" tabs.
-                data_text, lbl_coarse, lbl_fine = row.rstrip().split("\t")
-                yield key, {
-                    "text": data_text,
-                    "coarse": lbl_coarse,
-                    "fine": lbl_fine,
-                }