
## about

- aeslc dataset but cleaned and keywords extracted to a new column
- an EDA website generated via pandas profiling [is on netlify here](https://aeslc-kw-train-eda.netlify.app/)

```
DatasetDict({
    train: Dataset({
        features: ['email_body', 'subject_line', 'clean_email', 'clean_email_keywords'],
        num_rows: 14436
    })
    test: Dataset({
        features: ['email_body', 'subject_line', 'clean_email', 'clean_email_keywords'],
        num_rows: 1906
    })
    validation: Dataset({
        features: ['email_body', 'subject_line', 'clean_email', 'clean_email_keywords'],
        num_rows: 1960
    })
})
```

## Python usage


Basic example notebook [here](https://colab.research.google.com/gist/pszemraj/18742da8db4a99e57e95824eaead285a/scratchpad.ipynb).

```python
from datasets import load_dataset

dataset = load_dataset("postbot/aeslc_kw")
```

## Citation

```
@InProceedings{zhang2019slg,
  author =      "Rui Zhang and Joel Tetreault",
  title =       "This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation",
  booktitle =   "Proceedings of The 57th Annual Meeting of the Association for Computational Linguistics",
  year =        "2019",
  address =     "Florence, Italy"
}
```
multilinguality:monolingual source_datasets:aeslc language:en license:mit text2text generation email email generation enron region:us
{"language": ["en"], "license": ["mit"], "multilinguality": ["monolingual"], "source_datasets": ["aeslc"], "pretty_name": "AESLC - Cleaned & Keyword Extracted", "tags": ["text2text generation", "email", "email generation", "enron"]}
TAGS
#multilinguality-monolingual #source_datasets-aeslc #language-English #license-mit #text2text generation #email #email generation #enron #region-us 


## about

- aeslc dataset but cleaned and keywords extracted to a new column
- an EDA website generated via pandas profiling is on netlify here



## Python usage


Basic example notebook here.




## about

- aeslc dataset but cleaned and keywords extracted to a new column
- an EDA website generated via pandas profiling is on netlify here ## Python usage


Basic example notebook here.
TAGS
#multilinguality-monolingual #source_datasets-aeslc #language-English #license-mit #text2text generation #email #email generation #enron #region-us 
 ## about

- aeslc dataset but cleaned and keywords extracted to a new column
- an EDA website generated via pandas profiling is on netlify here ## Python usage


Basic example notebook here.
passage: TAGS
#multilinguality-monolingual #source_datasets-aeslc #language-English #license-mit #text2text generation #email #email generation #enron #region-us 
## about

- aeslc dataset but cleaned and keywords extracted to a new column
- an EDA website generated via pandas profiling is on netlify here## Python usage


Basic example notebook here.