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t5-large-finetuned-qtsumm
yale-nlp/t5-large-finetuned-qtsumm
t5-large-finetuned-qtsumm is a summarization model from yale-nlp. Use it when you need a shorter version of a longer text. It is set up for transformers. The card lists the license as mit.
QTSumm is a query-focused table summarization dataset proposed in EMNLP 2023 paper QTSUMM: Query-Focused Summarization over Tabular Data. The original Github repository is https://github.com/yale-nlp/QTSumm.
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At a glance
- Task
- Summarization
- Library
- transformers
- License
- mit
- Model type
- t5
- Access
- Public
- Created
- Oct 20, 2023
- Updated
- Nov 5, 2023
- SHA
- 3992e76c
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Datasets
Model card
From the Hugging Face model README
QTSumm Dataset
QTSumm is a query-focused table summarization dataset proposed in EMNLP 2023 paper QTSUMM: Query-Focused Summarization over Tabular Data. The original Github repository is https://github.com/yale-nlp/QTSumm.
Model Description
yale-nlp/t5-large-finetuned-qtsumm (based on T5 architecture) is initialized with t5-large and finetuned on the QTSumm dataset.
Usage
Check the github repository: https://github.com/yale-nlp/QTSumm
Reference
@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 Xiangru Tang and Yumo Xu and Arman Cohan and Dragomir Radev},
year={2023},
eprint={2305.14303},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
- Task
- Summarization
- Library
- transformers
- Type
- t5
- License
- mit
- Languages
- en
- Created
- Oct 20, 2023
- Updated
- Nov 5, 2023