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--- |
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language: |
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- en |
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license: |
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- mit |
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multilinguality: |
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- monolingual |
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pretty_name: AESLC - Cleaned & Keyword Extracted |
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source_datasets: |
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- aeslc |
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tags: |
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- text2text generation |
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- email |
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- email generation |
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- enron |
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--- |
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|
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## about |
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|
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- aeslc dataset but cleaned and keywords extracted to a new column |
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- an EDA website generated via pandas profiling [is on netlify here](https://aeslc-kw-train-eda.netlify.app/) |
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|
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``` |
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DatasetDict({ |
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train: Dataset({ |
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features: ['email_body', 'subject_line', 'clean_email', 'clean_email_keywords'], |
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num_rows: 14436 |
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}) |
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test: Dataset({ |
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features: ['email_body', 'subject_line', 'clean_email', 'clean_email_keywords'], |
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num_rows: 1906 |
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}) |
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validation: Dataset({ |
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features: ['email_body', 'subject_line', 'clean_email', 'clean_email_keywords'], |
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num_rows: 1960 |
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}) |
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}) |
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``` |
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## Python usage |
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Basic example notebook [here](https://colab.research.google.com/gist/pszemraj/18742da8db4a99e57e95824eaead285a/scratchpad.ipynb). |
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|
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```python |
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from datasets import load_dataset |
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|
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dataset = load_dataset("postbot/aeslc_kw") |
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``` |
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|
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## Citation |
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|
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``` |
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@InProceedings{zhang2019slg, |
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author = "Rui Zhang and Joel Tetreault", |
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title = "This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation", |
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booktitle = "Proceedings of The 57th Annual Meeting of the Association for Computational Linguistics", |
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year = "2019", |
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address = "Florence, Italy" |
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} |
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``` |
