Delete loading script

ropes.py

@@ -1,138 +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.
-"""ROPES dataset.
-Code is heavily inspired from https://github.com/huggingface/datasets/blob/master/datasets/squad/squad.py"""
-
-
-import json
-
-import datasets
-
-
-_CITATION = """\
-@inproceedings{Lin2019ReasoningOP,
-  title={Reasoning Over Paragraph Effects in Situations},
-  author={Kevin Lin and Oyvind Tafjord and Peter Clark and Matt Gardner},
-  booktitle={MRQA@EMNLP},
-  year={2019}
-}
-"""
-
-_DESCRIPTION = """\
-ROPES (Reasoning Over Paragraph Effects in Situations) is a QA dataset
-which tests a system's ability to apply knowledge from a passage
-of text to a new situation. A system is presented a background
-passage containing a causal or qualitative relation(s) (e.g.,
-"animal pollinators increase efficiency of fertilization in flowers"),
-a novel situation that uses this background, and questions that require
-reasoning about effects of the relationships in the background
-passage in the background of the situation.
-"""
-
-_LICENSE = "CC BY 4.0"
-
-_URLs = {
-    "train+dev": "https://ropes-dataset.s3-us-west-2.amazonaws.com/train_and_dev/ropes-train-dev-v1.0.tar.gz",
-    "test": "https://ropes-dataset.s3-us-west-2.amazonaws.com/test/ropes-test-questions-v1.0.tar.gz",
-}
-
-
-class Ropes(datasets.GeneratorBasedBuilder):
-    """ROPES datset: testing a system's ability
-    to apply knowledge from a passage of text to a new situation.."""
-
-    VERSION = datasets.Version("1.1.0")
-
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(name="plain_text", description="Plain text", version=VERSION),
-    ]
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "id": datasets.Value("string"),
-                    "background": datasets.Value("string"),
-                    "situation": datasets.Value("string"),
-                    "question": datasets.Value("string"),
-                    "answers": datasets.features.Sequence(
-                        {
-                            "text": datasets.Value("string"),
-                        }
-                    ),
-                }
-            ),
-            supervised_keys=None,
-            homepage="https://allenai.org/data/ropes",
-            license=_LICENSE,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        archives = dl_manager.download(_URLs)
-
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "filepath": "/".join(["ropes-train-dev-v1.0", "train-v1.0.json"]),
-                    "split": "train",
-                    "files": dl_manager.iter_archive(archives["train+dev"]),
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={
-                    "filepath": "/".join(["ropes-test-questions-v1.0", "test-1.0.json"]),
-                    "split": "test",
-                    "files": dl_manager.iter_archive(archives["test"]),
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                gen_kwargs={
-                    "filepath": "/".join(["ropes-train-dev-v1.0", "dev-v1.0.json"]),
-                    "split": "dev",
-                    "files": dl_manager.iter_archive(archives["train+dev"]),
-                },
-            ),
-        ]
-
-    def _generate_examples(self, filepath, split, files):
-        """Yields examples."""
-        for path, f in files:
-            if path == filepath:
-                ropes = json.loads(f.read().decode("utf-8"))
-                for article in ropes["data"]:
-                    for paragraph in article["paragraphs"]:
-                        background = paragraph["background"].strip()
-                        situation = paragraph["situation"].strip()
-                        for qa in paragraph["qas"]:
-                            question = qa["question"].strip()
-                            id_ = qa["id"]
-                            answers = [] if split == "test" else [answer["text"].strip() for answer in qa["answers"]]
-
-                            yield id_, {
-                                "background": background,
-                                "situation": situation,
-                                "question": question,
-                                "id": id_,
-                                "answers": {
-                                    "text": answers,
-                                },
-                            }
-                break