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FinBen · EDTSum (long-context, instruction-formatted)

📄 Paper · 💻 Code · 🏆 Leaderboard · 🌐 The Fin AI

Part of FinBen — FinBen: A Holistic Financial Benchmark for Large Language Models (arXiv:2402.12659).

Long-context, instruction-formatted variant of flare-edtsum in FinBen.

Task text summarization
Original dataset EDTSum (introduced in FinBen)
Evaluation metric ROUGE, BERTScore, BARTScore
Source license Public
Language en

Quick Start

from datasets import load_dataset

ds = load_dataset("TheFinAI/en-edtsum-long-instruction", split="train")
print(ds[0])

Example prompt

Prepared Remarks:
Operator

Greetings. Welcome to ABM Industries Fourth Quarter 2020 Earnings Call. [Operator Instructions] Please note, this conference is being recorded.

I will now turn the conference over to Susie Kim, Vice President of Investor Relations and Treasurer. Thank you. You may begin.

10 stocks we like better than Abm Industries
When our award-winning analyst team has a stock tip, …

Dataset Structure

Split Rows
train 192
Field Description
text Raw input text (without instruction)
title
query Full instruction prompt given to the model
answer Gold answer / label text
entries

License

The paper lists the original data as publicly available without a specific license (FinBen paper, Table 2); refer to the original source for its terms.

Citation

Please cite FinBen and the original dataset (EDTSum (introduced in FinBen)):

@misc{xie2024finbenholisticfinancialbenchmark,
      title={FinBen: A Holistic Financial Benchmark for Large Language Models},
      author={Qianqian Xie and Weiguang Han and Zhengyu Chen and Ruoyu Xiang and Xiao Zhang and Yueru He and Mengxi Xiao and Dong Li and Yongfu Dai and Duanyu Feng and Yijing Xu and Haoqiang Kang and Ziyan Kuang and Chenhan Yuan and Kailai Yang and Zheheng Luo and Tianlin Zhang and Zhiwei Liu and Guojun Xiong and Zhiyang Deng and Yuechen Jiang and Zhiyuan Yao and Haohang Li and Yangyang Yu and Gang Hu and Jiajia Huang and Xiao-Yang Liu and Alejandro Lopez-Lira and Benyou Wang and Yanzhao Lai and Hao Wang and Min Peng and Sophia Ananiadou and Jimin Huang},
      year={2024},
      eprint={2402.12659},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2402.12659},
}
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Paper for TheFinAI/en-edtsum-long-instruction