Create data.py

data.py

@@ -0,0 +1,170 @@
+# 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)],
+                    }