Datasets:
Tasks:
Summarization
Languages:
English
Multilinguality:
monolingual
Size Categories:
10K<n<100K
Language Creators:
found
Annotations Creators:
crowdsourced
Source Datasets:
original
ArXiv:
Tags:
aspect-based-summarization
conversations-summarization
multi-document-summarization
email-headline-generation
License:
| # coding=utf-8 | |
| # Copyright 2020 The TensorFlow Datasets Authors and the HuggingFace Datasets Authors. | |
| # | |
| # 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. | |
| # Lint as: python3 | |
| """Annotated Enron Subject Line Corpus Dataset.""" | |
| import glob | |
| import os | |
| import datasets | |
| _CITATION = """ | |
| @misc{zhang2019email, | |
| title={This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation}, | |
| author={Rui Zhang and Joel Tetreault}, | |
| year={2019}, | |
| eprint={1906.03497}, | |
| archivePrefix={arXiv}, | |
| primaryClass={cs.CL} | |
| } | |
| """ | |
| _DESCRIPTION = """ | |
| A collection of email messages of employees in the Enron Corporation. | |
| There are two features: | |
| - email_body: email body text. | |
| - subject_line: email subject text. | |
| """ | |
| # From: https://github.com/ryanzhumich/AESLC/archive/master.zip | |
| _URL = "data.zip" | |
| _DOCUMENT = "email_body" | |
| _SUMMARY = "subject_line" | |
| class Aeslc(datasets.GeneratorBasedBuilder): | |
| """Annotated Enron Subject Line Corpus Dataset.""" | |
| VERSION = datasets.Version("1.0.0") | |
| def _info(self): | |
| return datasets.DatasetInfo( | |
| description=_DESCRIPTION, | |
| features=datasets.Features({_DOCUMENT: datasets.Value("string"), _SUMMARY: datasets.Value("string")}), | |
| supervised_keys=(_DOCUMENT, _SUMMARY), | |
| homepage="https://github.com/ryanzhumich/AESLC", | |
| citation=_CITATION, | |
| ) | |
| def _split_generators(self, dl_manager): | |
| """Returns SplitGenerators.""" | |
| dl_path = dl_manager.download_and_extract(_URL) | |
| input_path = os.path.join(dl_path, "AESLC-master", "enron_subject_line") | |
| return [ | |
| datasets.SplitGenerator( | |
| name=datasets.Split.TRAIN, | |
| gen_kwargs={"pattern": os.path.join(input_path, "train", "*.subject")}, | |
| ), | |
| datasets.SplitGenerator( | |
| name=datasets.Split.VALIDATION, | |
| gen_kwargs={"pattern": os.path.join(input_path, "dev", "*.subject")}, | |
| ), | |
| datasets.SplitGenerator( | |
| name=datasets.Split.TEST, | |
| gen_kwargs={"pattern": os.path.join(input_path, "test", "*.subject")}, | |
| ), | |
| ] | |
| def _generate_examples(self, pattern=None): | |
| """Yields examples.""" | |
| for filename in sorted(glob.glob(pattern)): | |
| email_body, subject_line = _parse_email_file(filename) | |
| key = os.path.basename(filename).rstrip(".subject") | |
| yield key, {_DOCUMENT: email_body, _SUMMARY: subject_line} | |
| def _parse_email_file(filename): | |
| """Parse email file text for email body and subject.""" | |
| with open(filename, encoding="utf-8") as f: | |
| email_body = "" | |
| for line in f: | |
| if line == "\n": | |
| break | |
| email_body += line | |
| line = next(f) | |
| subject = "" | |
| for line in f: | |
| if line == "\n": | |
| break | |
| subject += line | |
| return email_body, subject | |