aeslc
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A collection of email messages of employees in the Enron Corporation.
There are two features:
Split |
Examples |
'test' |
1,906 |
'train' |
14,436 |
'validation' |
1,960 |
FeaturesDict({
'email_body': Text(shape=(), dtype=string),
'subject_line': Text(shape=(), dtype=string),
})
Feature |
Class |
Shape |
Dtype |
Description |
|
FeaturesDict |
|
|
|
email_body |
Text |
|
string |
|
subject_line |
Text |
|
string |
|
@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}
}
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Last updated 2022-12-06 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2022-12-06 UTC."],[],[],null,["# aeslc\n\n\u003cbr /\u003e\n\n- **Description**:\n\nA collection of email messages of employees in the Enron Corporation.\n\nThere are two features:\n\n- email_body: email body text.\n- subject_line: email subject text.\n\n- **Additional Documentation** :\n [Explore on Papers With Code\n north_east](https://paperswithcode.com/dataset/aeslc)\n\n- **Homepage** :\n \u003chttps://github.com/ryanzhumich/AESLC\u003e\n\n- **Source code** :\n [`tfds.datasets.aeslc.Builder`](https://github.com/tensorflow/datasets/tree/master/tensorflow_datasets/datasets/aeslc/aeslc_dataset_builder.py)\n\n- **Versions**:\n\n - **`1.0.0`** (default): No release notes.\n- **Download size** : `11.10 MiB`\n\n- **Dataset size** : `14.96 MiB`\n\n- **Auto-cached**\n ([documentation](https://www.tensorflow.org/datasets/performances#auto-caching)):\n Yes\n\n- **Splits**:\n\n| Split | Examples |\n|----------------|----------|\n| `'test'` | 1,906 |\n| `'train'` | 14,436 |\n| `'validation'` | 1,960 |\n\n- **Feature structure**:\n\n FeaturesDict({\n 'email_body': Text(shape=(), dtype=string),\n 'subject_line': Text(shape=(), dtype=string),\n })\n\n- **Feature documentation**:\n\n| Feature | Class | Shape | Dtype | Description |\n|--------------|--------------|-------|--------|-------------|\n| | FeaturesDict | | | |\n| email_body | Text | | string | |\n| subject_line | Text | | string | |\n\n- **Supervised keys** (See\n [`as_supervised` doc](https://www.tensorflow.org/datasets/api_docs/python/tfds/load#args)):\n `('email_body', 'subject_line')`\n\n- **Figure**\n ([tfds.show_examples](https://www.tensorflow.org/datasets/api_docs/python/tfds/visualization/show_examples)):\n Not supported.\n\n- **Examples**\n ([tfds.as_dataframe](https://www.tensorflow.org/datasets/api_docs/python/tfds/as_dataframe)):\n\nDisplay examples... \n\n- **Citation**:\n\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 }"]]