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README.md

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----
-annotations_creators:
-- crowdsourced
-language:
-- en
-language_creators:
-- found
-license:
-- unknown
-multilinguality:
-- monolingual
-pretty_name: 'AESLC: Annotated Enron Subject Line Corpus'
-size_categories:
-- 10K<n<100K
-source_datasets:
-- original
-task_categories:
-- summarization
-task_ids: []
-paperswithcode_id: aeslc
-tags:
-- aspect-based-summarization
-- conversations-summarization
-- multi-document-summarization
-- email-headline-generation
-dataset_info:
-  features:
-  - name: email_body
-    dtype: string
-  - name: subject_line
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 11902668
-    num_examples: 14436
-  - name: validation
-    num_bytes: 1660730
-    num_examples: 1960
-  - name: test
-    num_bytes: 1384177
-    num_examples: 1906
-  download_size: 11643743
-  dataset_size: 14947575
----
-
-# Dataset Card for "aeslc"
-
-## Table of Contents
-- [Dataset Description](#dataset-description)
-  - [Dataset Summary](#dataset-summary)
-  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
-  - [Languages](#languages)
-- [Dataset Structure](#dataset-structure)
-  - [Data Instances](#data-instances)
-  - [Data Fields](#data-fields)
-  - [Data Splits](#data-splits)
-- [Dataset Creation](#dataset-creation)
-  - [Curation Rationale](#curation-rationale)
-  - [Source Data](#source-data)
-  - [Annotations](#annotations)
-  - [Personal and Sensitive Information](#personal-and-sensitive-information)
-- [Considerations for Using the Data](#considerations-for-using-the-data)
-  - [Social Impact of Dataset](#social-impact-of-dataset)
-  - [Discussion of Biases](#discussion-of-biases)
-  - [Other Known Limitations](#other-known-limitations)
-- [Additional Information](#additional-information)
-  - [Dataset Curators](#dataset-curators)
-  - [Licensing Information](#licensing-information)
-  - [Citation Information](#citation-information)
-  - [Contributions](#contributions)
-
-## Dataset Description
-
-- **Homepage:**
-- **Repository:** https://github.com/ryanzhumich/AESLC
-- **Paper:** [This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation](https://arxiv.org/abs/1906.03497)
-- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-- **Size of downloaded dataset files:** 11.10 MB
-- **Size of the generated dataset:** 14.26 MB
-- **Total amount of disk used:** 25.36 MB
-
-### Dataset Summary
-
-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.
-
-### Supported Tasks and Leaderboards
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Languages
-
-Monolingual English (mainly en-US) with some exceptions.
-
-## Dataset Structure
-
-### Data Instances
-
-#### default
-
-- **Size of downloaded dataset files:** 11.10 MB
-- **Size of the generated dataset:** 14.26 MB
-- **Total amount of disk used:** 25.36 MB
-
-An example of 'train' looks as follows.
-```
-{
-    "email_body": "B/C\n<<some doc>>\n",
-    "subject_line": "Service Agreement"
-}
-```
-
-### Data Fields
-
-The data fields are the same among all splits.
-
-#### default
-- `email_body`: a `string` feature.
-- `subject_line`: a `string` feature.
-
-### Data Splits
-
-| name  |train|validation|test|
-|-------|----:|---------:|---:|
-|default|14436|      1960|1906|
-
-## Dataset Creation
-
-### Curation Rationale
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Source Data
-
-#### Initial Data Collection and Normalization
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-#### Who are the source language producers?
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Annotations
-
-#### Annotation process
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-#### Who are the annotators?
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Personal and Sensitive Information
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-## Considerations for Using the Data
-
-### Social Impact of Dataset
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Discussion of Biases
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Other Known Limitations
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-## Additional Information
-
-### Dataset Curators
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Licensing Information
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Citation Information
-
-```
-@inproceedings{zhang-tetreault-2019-email,
-    title = "This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation",
-    author = "Zhang, Rui  and
-      Tetreault, Joel",
-    booktitle = "Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics",
-    month = jul,
-    year = "2019",
-    address = "Florence, Italy",
-    publisher = "Association for Computational Linguistics",
-    url = "https://aclanthology.org/P19-1043",
-    doi = "10.18653/v1/P19-1043",
-    pages = "446--456",
-}
-```
-
-### Contributions
-
-Thanks to [@patrickvonplaten](https://github.com/patrickvonplaten), [@thomwolf](https://github.com/thomwolf), [@lewtun](https://github.com/lewtun) for adding this dataset.

aeslc.py

@@ -1,106 +0,0 @@
-# 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.
-"""
-
-_URL = "https://github.com/ryanzhumich/AESLC/archive/master.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

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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