Datasets:
Tasks:
Summarization
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
ArXiv:
Tags:
aspect-based-summarization
conversations-summarization
multi-document-summarization
email-headline-generation
License:
Commit
•
853a9fd
0
Parent(s):
Update files from the datasets library (from 1.0.0)
Browse filesRelease notes: https://github.com/huggingface/datasets/releases/tag/1.0.0
- .gitattributes +27 -0
- aeslc.py +107 -0
- dataset_infos.json +1 -0
- dummy/1.0.0/dummy_data.zip +3 -0
.gitattributes
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*.7z filter=lfs diff=lfs merge=lfs -text
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*.arrow filter=lfs diff=lfs merge=lfs -text
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*.pth filter=lfs diff=lfs merge=lfs -text
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*.rar filter=lfs diff=lfs merge=lfs -text
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saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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aeslc.py
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# coding=utf-8
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# Copyright 2020 The TensorFlow Datasets Authors and the HuggingFace Datasets Authors.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# Lint as: python3
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"""Annotated Enron Subject Line Corpus Dataset."""
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from __future__ import absolute_import, division, print_function
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import glob
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import os
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import datasets
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_CITATION = """
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@misc{zhang2019email,
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title={This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation},
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author={Rui Zhang and Joel Tetreault},
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year={2019},
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eprint={1906.03497},
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archivePrefix={arXiv},
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primaryClass={cs.CL}
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}
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"""
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_DESCRIPTION = """
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A collection of email messages of employees in the Enron Corporation.
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There are two features:
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- email_body: email body text.
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- subject_line: email subject text.
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"""
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_URL = "https://github.com/ryanzhumich/AESLC/archive/master.zip"
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_DOCUMENT = "email_body"
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_SUMMARY = "subject_line"
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class Aeslc(datasets.GeneratorBasedBuilder):
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"""Annotated Enron Subject Line Corpus Dataset."""
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VERSION = datasets.Version("1.0.0")
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def _info(self):
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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features=datasets.Features({_DOCUMENT: datasets.Value("string"), _SUMMARY: datasets.Value("string")}),
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supervised_keys=(_DOCUMENT, _SUMMARY),
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homepage="https://github.com/ryanzhumich/AESLC",
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citation=_CITATION,
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)
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def _split_generators(self, dl_manager):
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"""Returns SplitGenerators."""
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dl_path = dl_manager.download_and_extract(_URL)
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input_path = os.path.join(dl_path, "AESLC-master", "enron_subject_line")
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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gen_kwargs={"pattern": os.path.join(input_path, "train", "*.subject")},
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),
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datasets.SplitGenerator(
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name=datasets.Split.VALIDATION,
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gen_kwargs={"pattern": os.path.join(input_path, "dev", "*.subject")},
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),
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datasets.SplitGenerator(
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name=datasets.Split.TEST,
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gen_kwargs={"pattern": os.path.join(input_path, "test", "*.subject")},
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),
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]
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def _generate_examples(self, pattern=None):
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"""Yields examples."""
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for filename in sorted(glob.glob(pattern)):
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email_body, subject_line = _parse_email_file(filename)
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key = os.path.basename(filename).rstrip(".subject")
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yield key, {_DOCUMENT: email_body, _SUMMARY: subject_line}
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def _parse_email_file(filename):
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"""Parse email file text for email body and subject."""
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with open(filename, encoding="utf-8") as f:
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email_body = ""
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for line in f:
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if line == "\n":
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break
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email_body += line
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line = next(f)
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subject = ""
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for line in f:
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if line == "\n":
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break
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subject += line
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return email_body, subject
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dataset_infos.json
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{"default": {"description": "\nA collection of email messages of employees in the Enron Corporation.\n\nThere are two features:\n - email_body: email body text.\n - subject_line: email subject text.\n", "citation": "\n@misc{zhang2019email,\n title={This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation},\n author={Rui Zhang and Joel Tetreault},\n year={2019},\n eprint={1906.03497},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n}\n", "homepage": "https://github.com/ryanzhumich/AESLC", "license": "", "features": {"email_body": {"dtype": "string", "id": null, "_type": "Value"}, "subject_line": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": {"input": "email_body", "output": "subject_line"}, "builder_name": "aeslc", "config_name": "default", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 1384177, "num_examples": 1906, "dataset_name": "aeslc"}, "train": {"name": "train", "num_bytes": 11902668, "num_examples": 14436, "dataset_name": "aeslc"}, "validation": {"name": "validation", "num_bytes": 1660730, "num_examples": 1960, "dataset_name": "aeslc"}}, "download_checksums": {"https://github.com/ryanzhumich/AESLC/archive/master.zip": {"num_bytes": 11643743, "checksum": "b5ea2ffb837c5cfb9b033d62b3940a8a2330a9eb69bd2a39a9f55db6a23a40a4"}}, "download_size": 11643743, "dataset_size": 14947575, "size_in_bytes": 26591318}}
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dummy/1.0.0/dummy_data.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:56fb0ebcbd72036f72c0f5a20de360de22b0c78ea069eedc41fa70e3d0511691
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size 2257
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