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---
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language:
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license: apache-2.0
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![image/png](https://huggingface.co/nbeerbower/gemma2-gutenberg-27B/resolve/main/gutenberg2-header.png?download=true)
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# Gutenberg2 DPO
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A DPO dataset meant to enhance the writing capabilities of LLMs using public domain books from [Project Gutenberg](https://gutenberg.org/).
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Inspired by Jon Durbin's Gutenberg DPO dataset: [jondurbin/gutenberg-dpo-v0.1](https://huggingface.co/datasets/jondurbin/gutenberg-dpo-v0.1)
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## Process
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Various books were selected from Project Gutenberg by personal preference and recommendation by Claude 3.5 Sonnet.
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They were then parsed by chapter using [chapterize](https://github.com/JonathanReeve/chapterize). Books that failed to parse or had mangled results were dropped from consideration.
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Chapters were then manually edited to remove: illustration tags, notes, etc. Superfluous line breaks were removed with a regular expression.
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Each chapter had a summary generated by an LLM. The summary of the previous chapter and the text from the current chapter were then used to generate a prompt that would result in an LLM writing that chapter.
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The prompts were then used to generate a "rejected" value, while the original chapter text was used as "chosen."
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[nbeerbower/mistral-nemo-bophades-12B](https://huggingface.co/nbeerbower/mistral-nemo-bophades-12B) was used to generate summaries, prompts, and rejected values.
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## Code
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[gutenberg-tools](https://github.com/nbeerbower/gutenberg-tools) is MIT licensed on GitHub.
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## Acknowledgements
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- __Jon Durbin__ for the original idea and process, thank you for your contributions to the open source community
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- __Jonathan Reeve__ for the chapterize library
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- __Mistral AI__ for their state of the art, permissively licensed, open LLMs
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- __Project Gutenberg__ and all their volunteers, thank you for preserving literary history and making it available to all
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- __koboldcpp__ for providing a fast and easy way to run LLM inference (shoutout to the KoboldAI Discord)
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- __llama.cpp__ and Georgi Gerganov for GGUF
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- __Michael Radermacher__ for quantizing my models and especially the one used to generate this dataset
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Dedicated to my late grandfather, George F. Beerbower, an engineer and avid reader.
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## Selected Works
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- Alice's Adventures in Wonderland - Lewis Carroll
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- Around the World in Eighty Days - Jules Verne
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- The Awakening - Kate Chopin
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- The Canterville Ghost - Oscar Wilde
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- The Invisible Man - H.G. Wells
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- The Island of Dr. Moreau - H.G. Wells
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- The Metamorphosis - Franz Kafka
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- Peter Pan - J.M. Barrie
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- The Picture of Dorian Gray - Oscar Wilde
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- The Red Badge of Courage - Stephen Crane
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- The Secret Agent - Joseph Conrad
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- The Adventures of Tom Sawyer - Mark Twain
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- The Wonderful Wizard of Oz - L. Frank Baum
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## Disclaimer
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This dataset is provided for free and as-is with absolutely no warranty. Some data may contain errors and be periodically modified.
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You are free to modify and redistribute it as you wish.
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default/train/0000.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:a362c96222f4a36a0b7ab8fe31bf2d0879b61120e4f066a8de2727e899a05de8
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size 3057849
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gb2_2024_11_16.json
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