Panza: A Personalized Text Writing Assistant via Data Playback and Local Fine-Tuning
Paper • 2407.10994 • Published • 2
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YAML Metadata Warning:The task_categories "text2text-generation" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
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 to fine-tune open-source models to impersonate a specific author. Code to do so is available on GitHub.
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