Delete loading script

bsd_ja_en.py

@@ -1,163 +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.
-"""Japanese-English Business Scene Dialogue (BSD) dataset. """
-
-
-import json
-
-import datasets
-
-
-_CITATION = """\
-@inproceedings{rikters-etal-2019-designing,
-    title = "Designing the Business Conversation Corpus",
-    author = "Rikters, Matīss  and
-      Ri, Ryokan  and
-      Li, Tong  and
-      Nakazawa, Toshiaki",
-    booktitle = "Proceedings of the 6th Workshop on Asian Translation",
-    month = nov,
-    year = "2019",
-    address = "Hong Kong, China",
-    publisher = "Association for Computational Linguistics",
-    url = "https://www.aclweb.org/anthology/D19-5204",
-    doi = "10.18653/v1/D19-5204",
-    pages = "54--61"
-}
-"""
-
-
-_DESCRIPTION = """\
-This is the Business Scene Dialogue (BSD) dataset,
-a Japanese-English parallel corpus containing written conversations
-in various business scenarios.
-
-The dataset was constructed in 3 steps:
-  1) selecting business scenes,
-  2) writing monolingual conversation scenarios according to the selected scenes, and
-  3) translating the scenarios into the other language.
-
-Half of the monolingual scenarios were written in Japanese
-and the other half were written in English.
-
-Fields:
-- id: dialogue identifier
-- no: sentence pair number within a dialogue
-- en_speaker: speaker name in English
-- ja_speaker: speaker name in Japanese
-- en_sentence: sentence in English
-- ja_sentence: sentence in Japanese
-- original_language: language in which monolingual scenario was written
-- tag: scenario
-- title: scenario title
-"""
-
-_HOMEPAGE = "https://github.com/tsuruoka-lab/BSD"
-
-_LICENSE = "CC BY-NC-SA 4.0"
-
-_REPO = "https://raw.githubusercontent.com/tsuruoka-lab/BSD/master/"
-
-_URLs = {
-    "train": _REPO + "train.json",
-    "dev": _REPO + "dev.json",
-    "test": _REPO + "test.json",
-}
-
-
-class BsdJaEn(datasets.GeneratorBasedBuilder):
-    """Japanese-English Business Scene Dialogue (BSD) dataset."""
-
-    VERSION = datasets.Version("1.0.0")
-
-    def _info(self):
-        features = datasets.Features(
-            {
-                "id": datasets.Value("string"),
-                "tag": datasets.Value("string"),
-                "title": datasets.Value("string"),
-                "original_language": datasets.Value("string"),
-                "no": datasets.Value("int32"),
-                "en_speaker": datasets.Value("string"),
-                "ja_speaker": datasets.Value("string"),
-                "en_sentence": datasets.Value("string"),
-                "ja_sentence": datasets.Value("string"),
-            }
-        )
-        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(_URLs)
-
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "filepath": data_dir["train"],
-                    "split": "train",
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={"filepath": data_dir["test"], "split": "test"},
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                gen_kwargs={
-                    "filepath": data_dir["dev"],
-                    "split": "dev",
-                },
-            ),
-        ]
-
-    def _generate_examples(self, filepath, split):
-        """Yields examples."""
-
-        with open(filepath, encoding="utf-8") as f:
-            data = json.load(f)
-
-            for dialogue in data:
-                id_ = dialogue["id"]
-                tag = dialogue["tag"]
-                title = dialogue["title"]
-                original_language = dialogue["original_language"]
-                conversation = dialogue["conversation"]
-
-                for turn in conversation:
-                    sent_no = int(turn["no"])
-                    en_speaker = turn["en_speaker"]
-                    ja_speaker = turn["ja_speaker"]
-                    en_sentence = turn["en_sentence"]
-                    ja_sentence = turn["ja_sentence"]
-
-                    yield f"{id_}_{sent_no}", {
-                        "id": id_,
-                        "tag": tag,
-                        "title": title,
-                        "original_language": original_language,
-                        "no": sent_no,
-                        "en_speaker": en_speaker,
-                        "ja_speaker": ja_speaker,
-                        "en_sentence": en_sentence,
-                        "ja_sentence": ja_sentence,
-                    }