tulu-3-wildchat-unused

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# Llama 3.1 Tulu 3 Wildchat unused

*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 82,783 generation pairs 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.


# Llama 3.1 Tulu 3 Wildchat 未使用子集

*请注意，本数据集合集采用ODC-BY-1.0许可证授权；数据子集可能适用不同的许可证，部分数据内容为非商业用途。本合集仅作为研究成果发布。*

本偏好数据集属于Tulu 3偏好混合数据集的一部分，其提示词源自[WildChat(allenai/WildChat-1M)]，并包含通过以下模型生成的82,783组对话生成对：

- [Mistral 7B Instruct v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)（采用Apache 2.0许可证）
- [Mistral Nemo Instruct 2407](https://huggingface.co/mistralai/Mistral-Nemo-Instruct-2407)（采用Apache 2.0许可证）
- [Tulu 2 7B](https://huggingface.co/allenai/tulu-2-7b)（采用Ai2 ImpACT低风险许可证）
- [Tulu 2 13B](https://huggingface.co/allenai/tulu-2-13b)（采用Ai2 ImpACT低风险许可证）
- [Yi-34B-Chat](https://huggingface.co/01-ai/Yi-34B-Chat)（采用Apache 2.0许可证）
- [Yi-6B-Chat](https://huggingface.co/01-ai/Yi-6B-Chat)（采用Apache 2.0许可证）
- [MPT 30B Chat](https://huggingface.co/mosaicml/mpt-30b-chat)（采用CC-BY-SA-4.0许可证）
- [MPT 7B 8k Chat](https://huggingface.co/mosaicml/mpt-7b-8k-chat)（采用CC-BY-SA-4.0许可证）
- [Google Gemma 2 27B it](https://huggingface.co/google/gemma-2-27b-it)（Gemma模型的使用需遵守[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模型的使用需遵守[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；商业许可证可参照模型卡片说明获取）
- [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；商业许可证可参照模型卡片说明获取）
- [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；商业许可证可参照模型卡片说明获取）
- [Falcon 7B](https://huggingface.co/tiiuae/falcon-7b-instruct)（采用Apache 2.0许可证）
- [Qwen2.5 72B Instruct](https://huggingface.co/Qwen/Qwen2.5-72B-Instruct)（Qwen模型采用Qwen许可证协议授权，版权归阿里巴巴云计算所有，保留所有权利）
- [Qwen2.5 32B Instruct](https://huggingface.co/Qwen/Qwen2.5-32B-Instruct)（采用Apache 2.0许可证）
- [Qwen2.5 14B Instruct](https://huggingface.co/Qwen/Qwen2.5-14B-Instruct)（采用Apache 2.0许可证）
- [Qwen2.5 7B Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct)（采用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构建，因此需遵守Llama 3.1许可证条款）
- [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构建，因此需遵守Llama 3.1许可证条款）
- [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构建，因此需遵守Llama 3许可证条款）
- [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)）

## 生成完成方法
针对给定的提示词集合，我们采用结合了同策略（on-policy）与异策略（off-policy）数据的合成流水线生成对话完成内容与偏好标签，并通过Ultrafeedback模板与大语言模型（Large Language Model，LLM）评审员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目录中找到。

## 许可证
本数据集采用ODC-BY许可证授权，仅可用于研究与教育用途，需遵循艾伦人工智能研究所（Ai2）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

该数据集是一个偏好数据集，包含来自WildChat的82,783个生成对，使用多种模型生成，并基于ODC-BY许可证，部分内容有非商业限制，适用于研究和教育用途。