QTSumm

# QTSumm Dataset
The **QTSumm** dataset is a large-scale dataset for the task of **query-focused summarization over tabular data**.
It contains 7,111 human-annotated query-summary pairs over 2,934 tables covering diverse topics.
To solve this task, a text generation system has to perform **human-like reasoning and analysis** over the given table to generate a tailored summary.

## Citation
```
@misc{zhao2023qtsumm,
title={QTSumm: Query-Focused Summarization over Tabular Data},
author={Yilun Zhao and Zhenting Qi and Linyong Nan and Boyu Mi and Yixin Liu and Weijin Zou and Simeng Han and Ruizhe Chen and Xiangru Tang and Yumo Xu and Arman Cohan and Dragomir Radev},
year={2023},
eprint={2305.14303},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
```

# QTSumm 数据集
**QTSumm数据集**是面向**表格数据查询聚焦摘要生成（Query-Focused Summarization）**任务的大规模数据集。该数据集包含覆盖多元主题的2934张表格上的7111条人工标注查询-摘要配对样本。要完成该任务，文本生成系统需对给定表格执行**类人类推理与分析**操作，以生成定制化摘要。

## 参考文献

@misc{zhao2023qtsumm,
title={QTSumm: 表格数据查询聚焦摘要生成（Query-Focused Summarization）},
author={Yilun Zhao and Zhenting Qi and Linyong Nan and Boyu Mi and Yixin Liu and Weijin Zou and Simeng Han and Ruizhe Chen and Xiangru Tang and Yumo Xu and Arman Cohan and Dragomir Radev},
year={2023},
eprint={2305.14303},
archivePrefix={arXiv},
primaryClass={cs.CL}
}