CaSiNo

CaSiNo数据集是由南加州大学创建的，包含1030个英语谈判对话，用于自动谈判系统的研究。该数据集模拟了露营场景中的邻居之间的谈判，涉及食物、水和木柴的分配。数据集的创建过程包括通过Amazon Mechanical Turk收集数据，并进行了预处理和标注。CaSiNo数据集的应用领域主要集中在提升自动谈判系统的性能，特别是在处理自然语言和理解人类谈判策略方面。The CaSiNo dataset, developed by the University of Southern California, consists of 1,030 English negotiation dialogues intended for research on automated negotiation systems. This dataset simulates neighborly negotiations within a camping scenario, covering the allocation of food, water, and firewood. The dataset creation workflow involves data collection via Amazon Mechanical Turk, followed by preprocessing and annotation. The primary application scenarios of the CaSiNo dataset center on improving the performance of automated negotiation systems, especially in natural language processing and the comprehension of human negotiation tactics.

搜集汇总

背景与挑战

背景概述

CaSiNo是一个包含1030个露营地谈判对话的数据集，用于自动谈判系统研究。对话涉及两个参与者就食物、水和木柴进行谈判，平均每轮对话有11.6句话，并包含参与者信息、谈判结果和策略注释。