Delete data.py

data.py

@@ -1,170 +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.
-"""This is humorous headline dataset called Humicroedit introduced in the Task-7 of SemEval 2020."""
-
-
-import csv
-import os
-
-import datasets
-
-
-_CITATION = """\
-@article{hossain2019president,
-  title={" President Vows to Cut< Taxes> Hair": Dataset and Analysis of Creative Text Editing for Humorous Headlines},
-  author={Hossain, Nabil and Krumm, John and Gamon, Michael},
-  journal={arXiv preprint arXiv:1906.00274},
-  year={2019}
-}
-"""
-
-_DESCRIPTION = """\
-This new dataset is designed to assess the funniness of edited news headlines.
-"""
-
-_HOMEPAGE = "https://www.cs.rochester.edu/u/nhossain/humicroedit.html"
-_LICENSE = ""
-
-_URL = "https://cs.rochester.edu/u/nhossain/semeval-2020-task-7-dataset.zip"
-
-
-class Humicroedit(datasets.GeneratorBasedBuilder):
-    """This is humorous headline dataset called Humicroedit introduced in the Task-7 of SemEval 2020."""
-
-    VERSION = datasets.Version("1.1.0")
-
-    # This is an example of a dataset with multiple configurations.
-    # If you don't want/need to define several sub-sets in your dataset,
-    # just remove the BUILDER_CONFIG_CLASS and the BUILDER_CONFIGS attributes.
-
-    # If you need to make complex sub-parts in the datasets with configurable options
-    # You can create your own builder configuration class to store attribute, inheriting from datasets.BuilderConfig
-    # BUILDER_CONFIG_CLASS = MyBuilderConfig
-
-    # You will be able to load one or the other configurations in the following list with
-    # data = datasets.load_dataset('my_dataset', 'first_domain')
-    # data = datasets.load_dataset('my_dataset', 'second_domain')
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(name="subtask-1", description="This part of the dataset covers the data for subtask-1"),
-        datasets.BuilderConfig(name="subtask-2", description="This part of the dataset covers the data for subtask-2"),
-    ]
-
-    def _info(self):
-        if self.config.name == "subtask-1":
-            features = datasets.Features(
-                {
-                    "id": datasets.Value("string"),
-                    "original": datasets.Value("string"),
-                    "edit": datasets.Value("string"),
-                    "grades": datasets.Value("string"),
-                    "meanGrade": datasets.Value("float"),
-                    # These are the features of your dataset like images, labels ...
-                }
-            )
-        else:
-            features = datasets.Features(
-                {
-                    "id": datasets.Value("string"),
-                    "original1": datasets.Value("string"),
-                    "edit1": datasets.Value("string"),
-                    "grades1": datasets.Value("string"),
-                    "meanGrade1": datasets.Value("float"),
-                    "original2": datasets.Value("string"),
-                    "edit2": datasets.Value("string"),
-                    "grades2": datasets.Value("string"),
-                    "meanGrade2": datasets.Value("float"),
-                    "label": datasets.ClassLabel(names=["equal", "sentence1", "sentence2"]),
-                }
-            )
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=features,
-            supervised_keys=None,
-            homepage=_HOMEPAGE,
-            license=_LICENSE,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        data_dir = dl_manager.download_and_extract(_URL)
-        ROOT = "semeval-2020-task-7-dataset"
-
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={
-                    "filepath": os.path.join(data_dir, ROOT, self.config.name, "train.csv"),
-                    "split": "train",
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={"filepath": os.path.join(data_dir, ROOT, self.config.name, "test.csv"), "split": "test"},
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={
-                    "filepath": os.path.join(data_dir, ROOT, self.config.name, "dev.csv"),
-                    "split": "dev",
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split("funlines"),
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={
-                    "filepath": os.path.join(data_dir, ROOT, self.config.name, "train_funlines.csv"),
-                    "split": "funlines",
-                },
-            ),
-        ]
-
-    def _generate_examples(self, filepath, split):
-        """Yields examples."""
-        label_names = ["equal", "sentence1", "sentence2"]
-
-        with open(filepath, encoding="utf-8") as csv_file:
-            csv_reader = csv.reader(
-                csv_file, quotechar='"', delimiter=",", quoting=csv.QUOTE_ALL, skipinitialspace=True
-            )
-            next(csv_reader)
-
-            for id_, row in enumerate(csv_reader):
-                if self.config.name == "subtask-1":
-                    row_id, original, edit, grades, meanGrade = row
-                    yield id_, {
-                        "id": row_id,
-                        "original": original,
-                        "edit": edit,
-                        "grades": grades,
-                        "meanGrade": meanGrade,
-                    }
-                else:
-                    row_id, original1, edit1, grades1, meanGrade1, original2, edit2, grades2, meanGrade2, label = row
-                    yield id_, {
-                        "id": row_id,
-                        "original1": original1,
-                        "edit1": edit1,
-                        "grades1": grades1,
-                        "meanGrade1": meanGrade1,
-                        "original2": original2,
-                        "edit2": edit2,
-                        "grades2": grades2,
-                        "meanGrade2": meanGrade2,
-                        "label": label_names[int(label)],
-                    }