Delete loading script

bn_hate_speech.py

@@ -1,89 +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.
-"""Bengali Hate Speech Dataset"""
-
-
-import csv
-
-import datasets
-
-
-_CITATION = """\
-@misc{karim2020classification,
-      title={Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM Network},
-      author={Md. Rezaul Karim and Bharathi Raja Chakravarthi and John P. McCrae and Michael Cochez},
-      year={2020},
-      eprint={2004.07807},
-      archivePrefix={arXiv},
-      primaryClass={cs.CL}
-}
-"""
-
-_DESCRIPTION = """\
-The Bengali Hate Speech Dataset is a collection of Bengali articles collected from Bengali news articles,
-news dump of Bengali TV channels, books, blogs, and social media. Emphasis was placed on Facebook pages and
-newspaper sources because they attract close to 50 million followers and is a common source of opinions
-and hate speech. The raw text corpus contains 250 million articles and the full dataset is being prepared
-for release. This is a subset of the full dataset.
-
-This dataset was prepared for hate-speech text classification benchmark on Bengali, an under-resourced language.
-"""
-
-_HOMEPAGE = "https://github.com/rezacsedu/Bengali-Hate-Speech-Dataset"
-
-_LICENSE = "MIT License"
-
-_URL = "https://raw.githubusercontent.com/rezacsedu/Bengali-Hate-Speech-Dataset/main/bengali_%20hate_v1.0.csv"
-
-
-# TODO: Name of the dataset usually match the script name with CamelCase instead of snake_case
-class BnHateSpeech(datasets.GeneratorBasedBuilder):
-    """Bengali Hate Speech Dataset"""
-
-    def _info(self):
-        features = datasets.Features(
-            {
-                "text": datasets.Value("string"),
-                "label": datasets.features.ClassLabel(
-                    names=["Personal", "Political", "Religious", "Geopolitical", "Gender abusive"]
-                ),
-            }
-        )
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=features,
-            supervised_keys=None,
-            homepage=_HOMEPAGE,
-            license=_LICENSE,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-
-        train_path = dl_manager.download_and_extract(_URL)
-        return [
-            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": train_path}),
-        ]
-
-    def _generate_examples(self, filepath):
-        """Generate Bengali Hate Speech examples."""
-
-        with open(filepath, encoding="utf-8") as csv_file:
-            reader = csv.reader(csv_file, delimiter="\t")
-            next(reader, None)
-            for id_, row in enumerate(reader):
-                text, label = row
-                yield id_, {"text": text, "label": label}