Datasets:

TheFinAI
/

en-finarg-ecc-arc

pretty_name: FinBen · FinArg-ARC
license: cc-by-nc-sa-4.0
language:
  - en
task_categories:
  - text-classification
size_categories:
  - n<1K
source_datasets:
  - extended
tags:
  - finance
  - benchmark
  - thefinai
  - finben
  - flare
dataset_info:
  features:
    - name: id
      dtype: string
    - name: query
      dtype: string
    - name: answer
      dtype: string
    - name: text
      dtype: string
    - name: choices
      sequence: string
    - name: gold
      dtype: int64
  splits:
    - name: test
      num_bytes: 745920
      num_examples: 690
  download_size: 245389
  dataset_size: 745920
extra_gated_heading: Request access to FinBen · FinArg-ARC
extra_gated_description: >-
  This FinBen task is released by The Fin AI for research. Access is granted
  automatically after you complete this short form.
extra_gated_button_content: Agree and access
extra_gated_prompt: >-
  By accessing this dataset you agree to the license of the original source (CC
  BY-NC-SA 4.0) and to cite the FinBen paper and the original dataset in any
  resulting publication.
extra_gated_fields:
  Full name: text
  Affiliation: text
  Country: country
  Intended use:
    type: select
    options:
      - Research
      - Education
      - Commercial evaluation
      - Other
  I agree to the terms above and will cite the papers: checkbox

FinBen · FinArg-ARC

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

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


Task	argument relation classification
Original dataset	FinArg-ARC (Sy et al., 2023)
Evaluation metric	F1, Accuracy
Source license	CC BY-NC-SA 4.0
Language	en

Quick Start

from datasets import load_dataset

ds = load_dataset("TheFinAI/en-finarg-ecc-arc", split="test")
print(ds[0])

Example prompt

In this task, you are given a pair of sentences. Your objective is to ascertain the type of argumentative relation between these two sentences. The relation could either be 'NoRelation', indicating no discernible relation between the sentences, 'Support', indicating that the first sentence supports the second, or 'Attack', indicating that the first sentence disputes or contradicts the second. Retu…

Dataset Structure

Split	Rows
`test`	690

Field	Description
`id`	Example id
`query`	Full instruction prompt given to the model
`answer`	Gold answer / label text
`text`	Raw input text (without instruction)
`choices`	Label space
`gold`	Index of the gold label in `choices`

License

The original data is released under CC BY-NC-SA 4.0 (FinBen paper, Table 2).

Citation

Please cite FinBen and the original dataset (FinArg-ARC (Sy et al., 2023)):

@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},
}