tulu-3-sft-prompts-ultrafeedback

<img src="https://huggingface.co/datasets/allenai/blog-images/resolve/main/tulu-3/Tulu3-logo.png" alt="Tulu3 banner" width="400" style="margin-left:'auto' margin-right:'auto' display:'block'"/>

# Llama 3.1 Tulu 3 SFT Ultrafeedback

*Note that this collection is licensed under ODC-BY-1.0 license; different licenses apply to subsets of the data. Some portions of the dataset are non-commercial. We present the mixture as a research artifact.*

This collection includes the following datasets:

- https://huggingface.co/datasets/allenai/tulu-3-sft-reused-on-policy-70b
- https://huggingface.co/datasets/allenai/tulu-3-IF-augmented-on-policy-8b
- https://huggingface.co/datasets/allenai/tulu-3-sft-reused-on-policy-8b
- https://huggingface.co/datasets/allenai/tulu-3-IF-augmented-on-policy-70b

This preference dataset is part of our Tulu 3 preference mixture:
it contains prompts from [Tulu 3 SFT](https://huggingface.co/datasets/allenai/tulu-3-sft-mixture) and generations obtained using the following models:

- [Mistral 7B Instruct v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) (Apache 2.0)
- [Mistral Nemo Instruct 2407](https://huggingface.co/mistralai/Mistral-Nemo-Instruct-2407) (Apache 2.0)
- [Tulu 2 7B](https://huggingface.co/allenai/tulu-2-7b) (Ai2 ImpACT Low Risk License)
- [Tulu 2 13B](https://huggingface.co/allenai/tulu-2-13b) (Ai2 ImpACT Low Risk License)
- [Yi-34B-Chat](https://huggingface.co/01-ai/Yi-34B-Chat) (Apache 2.0)
- [Yi-6B-Chat](https://huggingface.co/01-ai/Yi-6B-Chat) (Apache 2.0)
- [MPT 30B Chat](https://huggingface.co/mosaicml/mpt-30b-chat) (CC-BY-SA-4.0)
- [MPT 7B 8k Chat](https://huggingface.co/mosaicml/mpt-7b-8k-chat) (CC-BY-SA-4.0)
- [Google Gemma 2 27B it](https://huggingface.co/google/gemma-2-27b-it) (Gemma is provided under and subject to the Gemma Terms of Use found at [ai.google.dev/gemma/terms](https://ai.google.dev/gemma/terms))
- [Google Gemma 2 9B it](https://huggingface.co/google/gemma-2-9b-it) (Gemma is provided under and subject to the Gemma Terms of Use found at [ai.google.dev/gemma/terms](https://ai.google.dev/gemma/terms))
- [InternLM2.5 20B](https://huggingface.co/internlm/internlm2_5-20b-chat) (InternLM weights are fully open for academic research and also allow free commercial usage. A commercial license can be obtained as instructed in the model card.)
- [InternLM2.5 7B](https://huggingface.co/internlm/internlm2_5-7b-chat) (InternLM weights are fully open for academic research and also allow free commercial usage. A commercial license can be obtained as instructed in the model card.)
- [InternLM2.5 1.8B](https://huggingface.co/internlm/internlm2_5-1_8b-chat) (InternLM weights are fully open for academic research and also allow free commercial usage. A commercial license can be obtained as instructed in the model card.)
- [Falcon 7B](https://huggingface.co/tiiuae/falcon-7b-instruct) (Apache 2.0)
- [Qwen2.5 72B Instruct](https://huggingface.co/Qwen/Qwen2.5-72B-Instruct) (Qwen is licensed under the Qwen LICENSE AGREEMENT, Copyright (c) Alibaba Cloud. All Rights Reserved.)
- [Qwen2.5 32B Instruct](https://huggingface.co/Qwen/Qwen2.5-32B-Instruct) (Apache 2.0)
- [Qwen2.5 14B Instruct](https://huggingface.co/Qwen/Qwen2.5-14B-Instruct) (Apache 2.0)
- [Qwen2.5 7B Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) (Apache 2.0)
- [Llama 3.1 8B Instruct ](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct) (this dataset was partially "Built with Llama" and is thus subject to the Llama 3.1 License)
- [Llama 3.1 70B Instruct](https://huggingface.co/meta-llama/Llama-3.1-70B-Instruct) (this dataset was partially "Built with Llama" and is thus subject to the Llama 3.1 License)
- [Llama 3 8B Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B) (this dataset was partially "Built with Meta Llama 3" and is thus subject to the Llama 3 License)
- [GPT-4 Turbo](https://openai.com/index/new-models-and-developer-products-announced-at-devday/) and [GPT-4o](https://openai.com/index/hello-gpt-4o/) (Outputs produced by GPT-4 are subject to OpenAI's [terms of use](https://openai.com/policies/row-terms-of-use))
- [Claude 3.5 Sonnet](https://www.anthropic.com/news/claude-3-5-sonnet) (Outputs produced by Claude are subject to Anthropic [terms of service](https://www.anthropic.com/legal/commercial-terms) and [usage policy](https://www.anthropic.com/legal/aup))

## Completion Generation Approach:
Given a set of prompts, we generated the completions and preferences using a synthetic pipeline that combines both on-policy and off-policy data, and obtained the preference annotations on four different aspects using the Ultrafeedback template and an LLM judge. The code for the synthetic generation pipeline is found in the scripts/synth_pref directory of [open-instruct](https://github.com/allenai/open-instruct/)

## License
This dataset is licensed under ODC-BY. It is intended for research and educational use in accordance with Ai2's [Responsible Use Guidelines](https://allenai.org/responsible-use). This dataset includes output data generated from third party models that are subject to separate terms governing their use.

<img src="https://huggingface.co/datasets/allenai/blog-images/resolve/main/tulu-3/Tulu3-logo.png" alt="Tulu3 横幅" width="400" style="margin-left:'auto' margin-right:'auto' display:'block'"/>

# Llama 3.1 Tulu 3 SFT 超反馈数据集

*请注意，本数据集集合采用ODC-BY-1.0许可证授权；数据子集可能适用不同许可证。本数据集部分内容为非商业用途，本混合数据集仅作为研究成果发布。

本数据集集合包含以下数据集：

- https://huggingface.co/datasets/allenai/tulu-3-sft-reused-on-policy-70b
- https://huggingface.co/datasets/allenai/tulu-3-IF-augmented-on-policy-8b
- https://huggingface.co/datasets/allenai/tulu-3-sft-reused-on-policy-8b
- https://huggingface.co/datasets/allenai/tulu-3-IF-augmented-on-policy-70b

本偏好数据集属于Tulu 3偏好混合数据集的一部分，其提示词来源于[Tulu 3 SFT数据集](https://huggingface.co/datasets/allenai/tulu-3-sft-mixture)，模型生成结果来自以下模型：

- [Mistral 7B Instruct v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)（Apache 2.0许可证）
- [Mistral Nemo Instruct 2407](https://huggingface.co/mistralai/Mistral-Nemo-Instruct-2407)（Apache 2.0许可证）
- [Tulu 2 7B](https://huggingface.co/allenai/tulu-2-7b)（Ai2 ImpACT低风险许可证）
- [Tulu 2 13B](https://huggingface.co/allenai/tulu-2-13b)（Ai2 ImpACT低风险许可证）
- [Yi-34B-Chat](https://huggingface.co/01-ai/Yi-34B-Chat)（Apache 2.0许可证）
- [Yi-6B-Chat](https://huggingface.co/01-ai/Yi-6B-Chat)（Apache 2.0许可证）
- [MPT 30B Chat](https://huggingface.co/mosaicml/mpt-30b-chat)（CC-BY-SA-4.0许可证）
- [MPT 7B 8k Chat](https://huggingface.co/mosaicml/mpt-7b-8k-chat)（CC-BY-SA-4.0许可证）
- [Google Gemma 2 27B it](https://huggingface.co/google/gemma-2-27b-it)（Gemma模型需遵循[ai.google.dev/gemma/terms](https://ai.google.dev/gemma/terms)中的Gemma使用条款）
- [Google Gemma 2 9B it](https://huggingface.co/google/gemma-2-9b-it)（Gemma模型需遵循[ai.google.dev/gemma/terms](https://ai.google.dev/gemma/terms)中的Gemma使用条款）
- [InternLM2.5 20B](https://huggingface.co/internlm/internlm2_5-20b-chat)（InternLM权重完全开放用于学术研究，同时支持免费商业使用；如需获取商业许可，请参照模型卡片说明操作）
- [InternLM2.5 7B](https://huggingface.co/internlm/internlm2_5-7b-chat)（InternLM权重完全开放用于学术研究，同时支持免费商业使用；如需获取商业许可，请参照模型卡片说明操作）
- [InternLM2.5 1.8B](https://huggingface.co/internlm/internlm2_5-1_8b-chat)（InternLM权重完全开放用于学术研究，同时支持免费商业使用；如需获取商业许可，请参照模型卡片说明操作）
- [Falcon 7B](https://huggingface.co/tiiuae/falcon-7b-instruct)（Apache 2.0许可证）
- [Qwen2.5 72B Instruct](https://huggingface.co/Qwen/Qwen2.5-72B-Instruct)（Qwen遵循《Qwen许可协议》，版权归阿里云所有，保留所有权利）
- [Qwen2.5 32B Instruct](https://huggingface.co/Qwen/Qwen2.5-32B-Instruct)（Apache 2.0许可证）
- [Qwen2.5 14B Instruct](https://huggingface.co/Qwen/Qwen2.5-14B-Instruct)（Apache 2.0许可证）
- [Qwen2.5 7B Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct)（Apache 2.0许可证）
- [Llama 3.1 8B Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct)（本数据集部分内容“基于Llama开发”，因此需遵循Llama 3.1许可证）
- [Llama 3.1 70B Instruct](https://huggingface.co/meta-llama/Llama-3.1-70B-Instruct)（本数据集部分内容“基于Llama开发”，因此需遵循Llama 3.1许可证）
- [Llama 3 8B Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B)（本数据集部分内容“基于Meta Llama 3开发”，因此需遵循Llama 3许可证）
- [GPT-4 Turbo](https://openai.com/index/new-models-and-developer-products-announced-at-devday/)与[GPT-4o](https://openai.com/index/hello-gpt-4o/)（GPT-4生成的输出需遵循OpenAI的[使用条款](https://openai.com/policies/row-terms-of-use)）
- [Claude 3.5 Sonnet](https://www.anthropic.com/news/claude-3-5-sonnet)（Claude生成的输出需遵循Anthropic的[服务条款](https://www.anthropic.com/legal/commercial-terms)与[使用政策](https://www.anthropic.com/legal/aup)）

## 完成内容生成方法

针对给定的提示词集合，我们通过结合同策略（on-policy）与异策略（off-policy）数据的合成流水线生成完成结果与偏好标签，并使用Ultrafeedback模板与大语言模型（LLM）评判器从四个不同维度获取偏好标注。合成生成流水线的代码可在[open-instruct](https://github.com/allenai/open-instruct/)的scripts/synth_pref目录中获取。

## 许可证

本数据集采用ODC-BY许可证授权。本数据集仅用于符合Ai2[负责任使用指南](https://allenai.org/responsible-use)的研究与教育用途。本数据集包含第三方模型生成的输出数据，此类数据需遵循对应模型的单独使用条款。

搜集汇总

背景与挑战

背景概述

该数据集是Tulu 3偏好混合的一部分，包含来自Tulu 3 SFT的提示，并利用多种开源和商业模型生成响应，通过合成管道结合策略内和策略外数据，使用Ultrafeedback模板进行偏好标注。数据集整体采用ODC-BY-1.0许可证，但部分子集适用不同许可，且包含非商业用途内容。