| license: apache-2.0 | |
| configs: | |
| - config_name: david | |
| data_files: | |
| - split: train | |
| path: david/train.jsonl | |
| - split: test | |
| path: david/test.jsonl | |
| - config_name: isabel | |
| data_files: | |
| - split: train | |
| path: isabel/train.jsonl | |
| - split: test | |
| path: isabel/test.jsonl | |
| - config_name: marcus | |
| data_files: | |
| - split: train | |
| path: marcus/train.jsonl | |
| - split: test | |
| path: marcus/test.jsonl | |
| task_categories: | |
| - text2text-generation | |
| language: | |
| - en | |
| pretty_name: Panza email | |
| size_categories: | |
| - n<1K | |
| # The Panza Emails dataset | |
| This dataset contains collections of emails of three authentic users (david, isabel, and marcus), with personal information (names, places, etc.) replaced by other ones for donor privacy. | |
| Except for these changes, the language of the emails is genuine. The intention of this dataset is to allow researchers to study strategies for text personalization. | |
| The data was donated explicitly for this purpose. This dataset is ethically collected and fully licensed for research use. The dataset | |
| is entirely in English, and all authors are highly proficient in the language; all messages are authored entirely by the donor, without any | |
| collaborative writing or LLM use. | |
| This data was used in the paper [**Panza: Design and Analysis of a Fully-Local Personalized Text Writing Assistant**](https://arxiv.org/abs/2407.10994) to fine-tune open-source models to impersonate a specific author. | |
| Code to do so is available on [GitHub](https://github.com/IST-DASLab/PanzaMail). | |