sled-umich/SDN

---
license: cc-by-nc-nd-4.0
task_categories:
- text-classification
- text-generation
language:
- en
size_categories:
- 1K<n<10K
---
# DOROTHIE

## Spoken Dialogue for Handling Unexpected Situations in Interactive Autonomous Driving Agents

**[Research Paper](https://arxiv.org/abs/2210.12511) | [Github](https://github.com/sled-group/DOROTHIE) | [Huggingface](https://huggingface.co/datasets/sled-umich/DOROTHIE)**

Authored by [Ziqiao Ma](https://mars-tin.github.io/), Ben VanDerPloeg, Cristian-Paul Bara, [Yidong Huang](https://sled.eecs.umich.edu/author/yidong-huang/), Eui-In Kim, Felix Gervits, Matthew Marge, [Joyce Chai](https://web.eecs.umich.edu/~chaijy/)

DOROTHIE (Dialogue On the ROad To Handle Irregular Events) is an innovative interactive simulation platform designed to create unexpected scenarios on the fly. This tool facilitates empirical studies on situated communication with autonomous driving agents.


This dataset is the pure dialogue dataset, if you want to see the whole simulation process and download the full dataset, please visit our [Github homepage](https://github.com/sled-group/DOROTHIE)

原始信息汇总

DOROTHIE

数据集概述

DOROTHIE（Dialogue On the ROad To Handle Irregular Events）是一个创新的交互式模拟平台，旨在实时创建意外场景。该工具促进了与自动驾驶代理的情景通信的实证研究。

数据集详情

• 许可协议: cc-by-nc-nd-4.0
• 任务类别:
  • 文本分类
  • 文本生成
• 语言: 英语
• 数据规模: 1K<n<10K

作者

• Ziqiao Ma
• Ben VanDerPloeg
• Cristian-Paul Bara
• Yidong Huang
• Eui-In Kim
• Felix Gervits
• Matthew Marge
• Joyce Chai

相关链接

• 研究论文: arXiv链接
• Github: Github链接
• Huggingface: Huggingface链接