fuzhou-jiang/moss-002-sft-data

--- license: cc-by-4.0 task_categories: - conversational - text-generation language: - en - zh size_categories: - 1M<n<10M --- # Dataset Card for "moss-002-sft-data" ## Dataset Description - **Homepage:** [https://txsun1997.github.io/blogs/moss.html](https://txsun1997.github.io/blogs/moss.html) - **Repository:** [https://github.com/OpenLMLab/MOSS](https://github.com/OpenLMLab/MOSS) - **Total amount of disk used:** 2.16 GB ### Dataset Summary An open-source conversational dataset that was used to train MOSS-002. The user prompts are extended based on a small set of human-written seed prompts in a way similar to [Self-Instruct](https://arxiv.org/abs/2212.10560). The AI responses are generated using `text-davinci-003`. The user prompts of `en_harmlessness` are from [Anthropic red teaming data](https://github.com/anthropics/hh-rlhf/tree/master/red-team-attempts). ### Data Splits | name | \# samples | |----------------------|-----------:| | en_helpfulness.json | 419049 | | en_honesty.json | 112580 | | en_harmlessness.json | 38873 | | zh_helpfulness.json | 447750 | | zh_honesty.json | 142885 |