tulu-3-wildchat-reused-on-policy-8b

<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 Wildchat reused (on-policy 8B)

*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 preference dataset is part of our Tulu 3 preference mixture:
it contains prompts from [WildChat](allenai/WildChat-1M) and it contains 17,207 generation pairs (some of which on-policy completions from https://huggingface.co/allenai/Llama-3.1-Tulu-3-8B) 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 Wildchat 复用数据集（同策略8B版）

*请注意，本数据集集合采用ODC-BY-1.0协议授权；数据集的不同子集可能适用不同的授权条款。本数据集的部分内容仅供非商业使用。我们将此混合数据集作为研究成果发布。*

本偏好数据集属于Tulu 3偏好混合数据集的组成部分：其提示词源自[WildChat](allenai/WildChat-1M)，共包含17207组生成对（其中部分回复为来自https://huggingface.co/allenai/Llama-3.1-Tulu-3-8B的同策略生成结果），生成所用模型如下：

- [Mistral 7B Instruct v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)（遵循Apache 2.0协议）
- [Mistral Nemo Instruct 2407](https://huggingface.co/mistralai/Mistral-Nemo-Instruct-2407)（遵循Apache 2.0协议）
- [Tulu 2 7B](https://huggingface.co/allenai/tulu-2-7b)（采用Ai2 ImpACT低风险许可协议）
- [Tulu 2 13B](https://huggingface.co/allenai/tulu-2-13b)（采用Ai2 ImpACT低风险许可协议）
- [Yi-34B-Chat](https://huggingface.co/01-ai/Yi-34B-Chat)（遵循Apache 2.0协议）
- [Yi-6B-Chat](https://huggingface.co/01-ai/Yi-6B-Chat)（遵循Apache 2.0协议）
- [MPT 30B Chat](https://huggingface.co/mosaicml/mpt-30b-chat)（采用CC-BY-SA-4.0协议）
- [MPT 7B 8k Chat](https://huggingface.co/mosaicml/mpt-7b-8k-chat)（采用CC-BY-SA-4.0协议）
- [Google Gemma 2 27B it](https://huggingface.co/google/gemma-2-27b-it)（Gemma模型需遵循[Gemma使用条款](https://ai.google.dev/gemma/terms)）
- [Google Gemma 2 9B it](https://huggingface.co/google/gemma-2-9b-it)（Gemma模型需遵循[Gemma使用条款](https://ai.google.dev/gemma/terms)）
- [InternLM2.5 20B](https://huggingface.co/internlm/internlm2_5-20b-chat)（InternLM模型权重完全开放用于学术研究，同时支持免费商业使用；如需商业许可，请按照模型卡片中的说明申请。）
- [InternLM2.5 7B](https://huggingface.co/internlm/internlm2_5-7b-chat)（InternLM模型权重完全开放用于学术研究，同时支持免费商业使用；如需商业许可，请按照模型卡片中的说明申请。）
- [InternLM2.5 1.8B](https://huggingface.co/internlm/internlm2_5-1_8b-chat)（InternLM模型权重完全开放用于学术研究，同时支持免费商业使用；如需商业许可，请按照模型卡片中的说明申请。）
- [Falcon 7B](https://huggingface.co/tiiuae/falcon-7b-instruct)（遵循Apache 2.0协议）
- [Qwen2.5 72B Instruct](https://huggingface.co/Qwen/Qwen2.5-72B-Instruct)（Qwen模型采用Qwen许可协议授权，版权所有©阿里云。保留所有权利。）
- [Qwen2.5 32B Instruct](https://huggingface.co/Qwen/Qwen2.5-32B-Instruct)（遵循Apache 2.0协议）
- [Qwen2.5 14B Instruct](https://huggingface.co/Qwen/Qwen2.5-14B-Instruct)（遵循Apache 2.0协议）
- [Qwen2.5 7B Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct)（遵循Apache 2.0协议）
- [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许可协议）
- [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许可协议）
- [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许可协议）
- [GPT-4 Turbo](https://openai.com/index/new-models-and-developer-products-announced-at-devday/)和[GPT-4o](https://openai.com/index/hello-gpt-4o/)（GPT-4生成的输出需遵守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生成的输出需遵守Anthropic的[服务条款](https://www.anthropic.com/legal/commercial-terms)与[使用政策](https://www.anthropic.com/legal/aup)）

## 回复生成方法：
针对给定的提示词集合，我们通过结合同策略与异策略数据的合成流水线生成回复与偏好标签，并采用Ultrafeedback模板与大语言模型（Large Language Model，LLM）评判器从四个维度获取偏好标注。该合成生成流水线的代码可参见[open-instruct](https://github.com/allenai/open-instruct/)项目的scripts/synth_pref目录。

## 授权协议
本数据集采用ODC-BY协议授权，旨在用于研究与教育用途，并需遵循Allen AI的[负责任使用指南](https://allenai.org/responsible-use)。本数据集包含由第三方模型生成的输出数据，此类数据需遵守其各自的使用条款。

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WildChat的提示词和17,207对生成结果，这些结果由多种模型如Mistral、Tulu、Yi、MPT、Gemma等生成，并采用合成管道进行偏好标注。数据集整体基于ODC-BY许可证，部分数据受不同许可证约束，适用于研究目的。