TAUR-Lab/MuSR
收藏Hugging Face2024-05-21 更新2024-05-25 收录
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https://hf-mirror.com/datasets/TAUR-Lab/MuSR
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资源简介:
MuSR数据集旨在测试多步软推理的思维链极限。该数据集包含三个部分:谋杀谜题、物体放置和团队分配,分别对应不同的CSV文件。数据集的任务类别是问答,语言为英语,标签包括推理和常识。数据集的创建使用了ChatGPT,旨在创建需要多步推理和常识的谋杀谜题。数据集的大小类别为小于1K,许可证为cc-by-4.0。
The MuSR dataset is designed to evaluate the chain-of-thought limits of multi-step soft reasoning. It consists of three components: murder mysteries, object placement tasks, and team assignment tasks, each corresponding to a separate CSV file. The dataset's task category is question answering, with all content in English, and its annotation labels cover two types: reasoning and commonsense. The dataset was constructed using ChatGPT, with the core goal of generating murder mysteries that demand multi-step reasoning and commonsense knowledge. The dataset is classified as having fewer than 1,000 instances, and it is released under the CC-BY-4.0 license.
提供机构:
TAUR-Lab
原始信息汇总
数据集概述
数据集名称
MuSR
数据集描述
MuSR 数据集旨在测试多步骤软推理(Multistep Soft Reasoning)的能力,特别是在创建需要常识推理的谋杀谜题中。
数据文件
- murder_mysteries:
murder_mystery.csv - object_placements:
object_placements.csv - team_allocation:
team_allocation.csv
许可证
CC-BY-4.0
任务类别
- 问答
语言
- 英语
标签
- 推理
- 常识
数据集大小
- 小于1000条记录
搜集汇总
数据集介绍

背景与挑战
背景概述
MuSR is a dataset of 756 murder mystery scenarios that require multi-step reasoning and commonsense to solve. Each scenario includes a detailed narrative, two suspects, and clues that must be analyzed to identify the murderer. The dataset is designed to test the limits of chain-of-thought reasoning and is used for training and evaluating AI models. It features diverse settings, motives, and weapons, providing a rich and challenging set of problems for reasoning tasks.
以上内容由遇见数据集搜集并总结生成



