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metadata
pretty_name: GRFinNUM — English translation
license: other
license_name: unspecified
language:
- en
task_categories:
- token-classification
tags:
- finance
- thefinai
- plutus
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
dataset_info:
features:
- name: query
dtype: string
- name: answer
dtype: string
- name: text
dtype: string
splits:
- name: test
num_bytes: 98198
num_examples: 100
download_size: 41455
dataset_size: 98198
extra_gated_heading: Request access to GRFinNUM — English translation
extra_gated_description: >-
GRFinNUM — English translation 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 its license and to cite the Plutus
paper 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 paper: checkbox
GRFinNUM — English translation
📄 Paper · 🌐 The Fin AI
Used in Plutus — Plutus: Benchmarking Large Language Models in Low-Resource Greek Finance (arXiv:2502.18772). Formerly
TheFinAI/plutus-finner-numeric-english(the old name redirects here).
English translation of Plutus GRFinNUM sentences from Greek company filings. Loaded by the MultiFinBen / Ebisu harness. The authors have not yet specified a license for this dataset; treat it as research-only until clarified, and respect the terms of the original sources.
| Task | numeric entity recognition |
| Language | en |
| License | other (unspecified) |
Quick Start
from datasets import load_dataset
ds = load_dataset("TheFinAI/en-grfinner-numeric", split="test")
print(ds[0])
| Split | Rows |
|---|---|
test |
100 |
Columns: query, answer, text
Citation
@misc{peng2025plutusbenchmarkinglargelanguage,
title={Plutus: Benchmarking Large Language Models in Low-Resource Greek Finance},
author={Xueqing Peng and Triantafillos Papadopoulos and Efstathia Soufleri and Polydoros Giannouris and Ruoyu Xiang and Yan Wang and Lingfei Qian and Jimin Huang and Qianqian Xie and Sophia Ananiadou},
year={2025},
eprint={2502.18772},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2502.18772},
}