brandolorian/quac-followup-questions

---
license: mit
---

The dataset in `followup-questions.json` file.

# Follow-Up Questions Dataset
## Description
This dataset is derived from the QuAC (Question Answering in Context) dataset and has been processed to pair previous answers with follow-up questions. It is intended for research and development in natural language processing, specifically for training and evaluating models on generating or understanding follow-up questions in conversational contexts.

# Source
The original QuAC dataset is available at QuAC.ai. The QuAC dataset is distributed under the CC-BY-4.0 license.

Please cite the original QuAC dataset paper when using this dataset:
```
@article{choi2018quac,
title={QuAC: Question Answering in Context},
author={Choi, Eunsol and He, He and Iyyer, Mohit and Yatskar, Mark and Yih, Wen-tau and Choi, Yejin and Liang, Percy and Zettlemoyer, Luke},
journal={arXiv preprint arXiv:1808.07036},
year={2018}
}
```
# Modifications
The original QuAC dataset has been processed to create pairs of previous answers and follow-up questions. The first question in each conversation has been removed, as it does not have a preceding answer.

# Structure
Each row in the dataset represents a pair of a previous answer and a follow-up question. The columns are as follows:
- `prev_answer`: The answer to the previous question in the conversation.
- `followup_question`: The follow-up question related to the previous answer.

# Usage
This dataset can be used for training and evaluating models on tasks related to follow-up question generation or understanding in conversational contexts.

# License
This dataset is distributed under the CC-BY-4.0 license, as it is derived from the QuAC dataset, which is also distributed under the same license.

原始信息汇总

后续问题数据集

描述

该数据集源自QuAC（上下文问答）数据集，经过处理，将先前的答案与后续问题配对。旨在用于自然语言处理领域的研究和开发，特别是用于训练和评估模型在对话上下文中生成或理解后续问题的能力。

来源

原始的QuAC数据集可在QuAC.ai获取。QuAC数据集根据CC-BY-4.0许可协议分发。

请在使用此数据集时引用原始的QuAC数据集论文：

@article{choi2018quac, title={QuAC: Question Answering in Context}, author={Choi, Eunsol and He, He and Iyyer, Mohit and Yatskar, Mark and Yih, Wen-tau and Choi, Yejin and Liang, Percy and Zettlemoyer, Luke}, journal={arXiv preprint arXiv:1808.07036}, year={2018} }

修改

原始的QuAC数据集经过处理，创建了先前答案和后续问题的配对。每个对话中的第一个问题已被移除，因为它没有先前的答案。

结构

数据集中的每一行代表一个先前答案和后续问题的配对。列如下：

• prev_answer：对话中前一个问题的答案。
• followup_question：与先前答案相关的后续问题。

使用

该数据集可用于训练和评估模型在对话上下文中生成或理解后续问题的任务。

许可

该数据集根据CC-BY-4.0许可协议分发，因为它源自同样根据该许可协议分发的QuAC数据集。