vlsp.py

# 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.
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#
#     http://www.apache.org/licenses/LICENSE-2.0
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"""VLSP: Very Long Scientific Papers"""


import os
import glob

import datasets


_CITATION = """"""
_DESCRIPTION = """\
Very Long version of the scientific papers summarization dataset. Only includes theses over 10,000 tokens long.
"""
_HOMEPAGE = "https://github.com/ghomasHudson/very_long_scientific_papers"
_URL = "https://github.com/ghomasHudson/very_long_scientific_papers/archive/master.zip"

class VLSP(datasets.GeneratorBasedBuilder):
    """VLSP: Very Long Scientific Papers"""

    VERSION = datasets.Version("1.1.0")

    BUILDER_CONFIGS = [
        datasets.BuilderConfig(name="arxiv", description="Arxiv theses"),
    ]

    DEFAULT_CONFIG_NAME = "arxiv"

    def _info(self):
        return datasets.DatasetInfo(
            description=_DESCRIPTION,
            features=datasets.Features(
                {
                    "abstract": datasets.features.Sequence(
                        datasets.Value("string")
                    ),
                    "article": datasets.Value("string"),
                }
            ),
            homepage=_HOMEPAGE,
            citation=_CITATION,
        )

    def _split_generators(self, dl_manager):
        data_dir = dl_manager.download_and_extract(_URL)
        return [
            datasets.SplitGenerator(
                name=datasets.Split.TEST,
                gen_kwargs={
                    "filepath": os.path.join(data_dir,"very_long_scientific_papers-master", "deduped-test"),
                }
            )
        ]

    def _generate_examples(self, filepath):
        for key, fn in enumerate(glob.glob(os.path.join(filepath, "*.main.txt"))):
            summary = []
            summ_fn = fn.replace(".main.", ".abstract.")
            if os.path.exists(summ_fn):
                summary.append(open(summ_fn).read())
            summ_fn = fn.replace(".main.", ".abstract-long.")
            if os.path.exists(summ_fn):
                summary.append(open(summ_fn).read())

            yield key, {
                "article": open(fn).read(),
                "abstract": summary
            }