douban-dushu.py

# 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
"""
This dataset contains book reviews from DouBan Dushu. 

DouBan DuShu is a Chinese website where users can share their reviews about various kinds of books. Most of the users in this website are unprofessional book reviewers. Therefore, the comments are usually spoken Chinese or even Internet slang.
"""


import csv
import os

import datasets


_CITATION = """\
@article{zhao2018lsicc,
  title={LSICC: A Large Scale Informal Chinese Corpus},
  author={Zhao, Jianyu and Ji, Zhuoran},
  journal={arXiv preprint arXiv:1811.10167},
  year={2018}
}
"""

_DESCRIPTION = """\
This dataset contains book reviews from DouBan Dushu. DouBan DuShu is a Chinese website where users can share their reviews about various kinds of books. Most of the users in this website are unprofessional book reviewers. Therefore, the comments are usually spoken Chinese or even Internet slang.
"""

_HOMEPAGE = "https://github.com/JaniceZhao/Douban-Dushu-Dataset"

_LICENSE = "Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License."

_URLS = ["https://drive.google.com/u/0/uc?id=1eoP1mpEso0a6vcbT_mGxmjdqVTFps0mM&export=download", "https://drive.google.com/u/0/uc?id=19JnT2jxpGRREibxkgxVyxXKjV7MOf1U4&export=download", "https://drive.google.com/u/0/uc?id=1hQ-Cn8MLl35RHf2rvcm8RakeO6Y6Sdvc&export=download", "https://drive.google.com/u/0/uc?id=1SPK9bYZ9T-ivOZFveRjOGnNh5X9XFDgq&export=download"]


class DoubanDushu(datasets.GeneratorBasedBuilder):
    """This dataset contains book reviews from DouBan Dushu."""

    VERSION = datasets.Version("1.1.0")

    def _info(self):
        features = datasets.Features(
            {
                "tag": datasets.Value("string"),
                "book_name": datasets.Value("string"),
                "user_name": datasets.Value("string"),
                "date": datasets.Value("string"),
                "comment": datasets.Value("string"),
                "star": datasets.Value("int32"),
                "vote_count": datasets.Value("int32"),
            }
        )
        return datasets.DatasetInfo(
            description=_DESCRIPTION,
            features=features, 
            homepage=_HOMEPAGE,
            license=_LICENSE,
            citation=_CITATION,
        )

    def _split_generators(self, dl_manager):
        # filepath = dl_manager.download_and_extract(_URLS)
        filepaths = dl_manager.download(_URLS)
        
        return [
            datasets.SplitGenerator(
                name=datasets.Split.TRAIN,
                gen_kwargs={
                    "filepaths": filepaths,
                },
            ),
        ]

    def _generate_examples(self, filepaths):
        for filepath in filepaths:
            key = 0
            with open(filepath, encoding="utf-8") as file:
                next(file)  # skip header

                for i, row in enumerate(file): 
                    row = row.strip()  # remove carriage returns
                    row = row.split("。")
                    yield key, {
                        "tag": row[0],
                        "book_name": row[1],
                        "user_name": row[2],
                        "date": row[3],
                        "comment": row[4],
                        "star": row[5],
                        "vote_count": row[6],
                    }
                    key += 1