FinTagging — XBRL tagging
Collection
FinTagging (arXiv:2505.20650): FinNI and FinCL evaluation sets, v1 and v2. • 10 items • Updated
Datasets:
Tasks:
Token Classification
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
ArXiv:
License:
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FinTagging FinNI eval (v2)
📄 Paper · 🤗 Collection · 💻 Code · 🌐 The Fin AI
Part of FinTagging — FinTagging: Benchmarking LLMs for Extracting and Structuring Financial Information (arXiv:2505.20650). Formerly
TheFinAI/FinNI-eval-v2(the old name redirects here).
Latest evaluation set for FinNI: extract numeric entities and their types from text and tables. Supersedes en-finni-eval (6,599 rows).
| Task | FinNI — financial numeric identification |
| License | CC BY 4.0 |
| Language | en |
Quick Start
from datasets import load_dataset
ds = load_dataset("TheFinAI/en-finni-eval-v2", split="test")
print(ds[0])
Dataset Structure
| Split | Rows |
|---|---|
test |
28,787 |
| Field | Description |
|---|---|
context_index |
Context id |
context |
Text or table context |
query |
Instruction prompt |
answer |
Gold entities and types |
Citation
@misc{wang2026fintaggingbenchmarkingllmsextracting,
title={FinTagging: Benchmarking LLMs for Extracting and Structuring Financial Information},
author={Yan Wang and Lingfei Qian and Xueqing Peng and Yang Ren and Keyi Wang and Yi Han and Dongji Feng and Fengran Mo and Shengyuan Lin and Qinchuan Zhang and Kaiwen He and Chenri Luo and Jianxing Chen and Junwei Wu and Chen Xu and Ziyang Xu and Jimin Huang and Guojun Xiong and Xiao-Yang Liu and Qianqian Xie and Jian-Yun Nie},
year={2026},
eprint={2505.20650},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2505.20650},
}
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