Delete loading script

duorc.py

@@ -1,146 +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.
-"""DuoRC: A Paraphrased
-Reading Comprehension Question Answering Dataset"""
-
-
-import json
-
-import datasets
-
-
-_CITATION = """\
-@inproceedings{DuoRC,
-author = { Amrita Saha and Rahul Aralikatte and Mitesh M. Khapra and Karthik Sankaranarayanan},\
-title = {{DuoRC: Towards Complex Language Understanding with Paraphrased Reading Comprehension}},
-booktitle = {Meeting of the Association for Computational Linguistics (ACL)},
-year = {2018}
-}
-"""
-
-
-_DESCRIPTION = """\
-DuoRC contains 186,089 unique question-answer pairs created from a collection of 7680 pairs of movie plots where each pair in the collection reflects two versions of the same movie.
-"""
-
-_HOMEPAGE = "https://duorc.github.io/"
-
-_LICENSE = "https://raw.githubusercontent.com/duorc/duorc/master/LICENSE"
-
-_URL = "https://raw.githubusercontent.com/duorc/duorc/master/dataset/"
-_URLs = {
-    "SelfRC": {
-        "train": _URL + "SelfRC_train.json",
-        "dev": _URL + "SelfRC_dev.json",
-        "test": _URL + "SelfRC_test.json",
-    },
-    "ParaphraseRC": {
-        "train": _URL + "ParaphraseRC_train.json",
-        "dev": _URL + "ParaphraseRC_dev.json",
-        "test": _URL + "ParaphraseRC_test.json",
-    },
-}
-
-
-class DuorcConfig(datasets.BuilderConfig):
-    """BuilderConfig for DuoRC SelfRC."""
-
-    def __init__(self, **kwargs):
-        """BuilderConfig for DuoRC SelfRC.
-        Args:
-          **kwargs: keyword arguments forwarded to super.
-        """
-        super(DuorcConfig, self).__init__(**kwargs)
-
-
-class Duorc(datasets.GeneratorBasedBuilder):
-    """DuoRC Dataset"""
-
-    VERSION = datasets.Version("1.0.0")
-    BUILDER_CONFIGS = [
-        DuorcConfig(name="SelfRC", version=VERSION, description="SelfRC dataset"),
-        DuorcConfig(name="ParaphraseRC", version=VERSION, description="ParaphraseRC dataset"),
-    ]
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            # This is the description that will appear on the datasets page.
-            description=_DESCRIPTION,
-            # This defines the different columns of the dataset and their types
-            features=datasets.Features(
-                {
-                    "plot_id": datasets.Value("string"),
-                    "plot": datasets.Value("string"),
-                    "title": datasets.Value("string"),
-                    "question_id": datasets.Value("string"),
-                    "question": datasets.Value("string"),
-                    "answers": datasets.features.Sequence(datasets.Value("string")),
-                    "no_answer": datasets.Value("bool"),
-                }
-            ),
-            supervised_keys=None,
-            homepage=_HOMEPAGE,
-            license=_LICENSE,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        my_urls = _URLs[self.config.name]
-        downloaded_files = dl_manager.download_and_extract(my_urls)
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "filepath": downloaded_files["train"],
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                gen_kwargs={
-                    "filepath": downloaded_files["dev"],
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={
-                    "filepath": downloaded_files["test"],
-                },
-            ),
-        ]
-
-    def _generate_examples(self, filepath):
-        """This function returns the examples in the raw (text) form."""
-        with open(filepath, encoding="utf-8") as f:
-            duorc = json.load(f)
-            for example in duorc:
-                plot_id = example["id"]
-                plot = example["plot"].strip()
-                title = example["title"].strip()
-                for qas in example["qa"]:
-                    question_id = qas["id"]
-                    question = qas["question"].strip()
-                    answers = [answer.strip() for answer in qas["answers"]]
-                    no_answer = qas["no_answer"]
-
-                    yield question_id, {
-                        "title": title,
-                        "plot": plot,
-                        "question": question,
-                        "plot_id": plot_id,
-                        "question_id": question_id,
-                        "answers": answers,
-                        "no_answer": no_answer,
-                    }