This is a conversion of PygmalionAI's PIPPA deduped dataset to ShareGPT format for finetuning with Axolotl.
The reformat was completed via the following TypeScript project called ShareGPT-Reformat.
The best file to use is pippa_sharegpt_trimmed.jsonl if you want a finetune without bugs or inconsistencies. The best dataset to modify is either the original PIPPA deduped dataset with the ShareGPT reformat project or pippa_sharegpt.jsonl.
To make this dataset usable in its entirety, some axolotl patches are needed:
You WILL experience unideal results with base axolotl at the time of publishing this README.
Paper for the original dataset:
@misc{gosling2023pippa,
title={PIPPA: A Partially Synthetic Conversational Dataset},
author={Tear Gosling and Alpin Dale and Yinhe Zheng},
year={2023},
eprint={2308.05884},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
9 commits
This is a conversion of PygmalionAI's PIPPA deduped dataset to ShareGPT format for finetuning with Axolotl.
The reformat was completed via the following TypeScript project called ShareGPT-Reformat.
The best file to use is pippa_sharegpt_trimmed.jsonl if you want a finetune without bugs or inconsistencies. The best dataset to modify is either the original PIPPA deduped dataset with the ShareGPT reformat project or pippa_sharegpt.jsonl.
To make this dataset usable in its entirety, some axolotl patches are needed:
You WILL experience unideal results with base axolotl at the time of publishing this README.
Paper for the original dataset:
@misc{gosling2023pippa,
title={PIPPA: A Partially Synthetic Conversational Dataset},
author={Tear Gosling and Alpin Dale and Yinhe Zheng},
year={2023},
eprint={2308.05884},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
9 commits