Datasets:
| license: mit | |
| task_categories: | |
| - text-classification | |
| language: | |
| - en | |
| tags: | |
| - Finance | |
| - Misinformation | |
| pretty_name: BFC-Bench | |
| size_categories: | |
| - 1K<n<10K | |
| ## Dataset Description | |
| RFC-Bench is a research benchmark for evaluating large language models on **reference-free counterfactual financial misinformation detection** at the paragraph level. The dataset contains only **synthetic, human-reviewed counterfactual rewrites** and **metadata** (ticker, date, and public URL) derived from publicly accessible Yahoo Finance articles; it does **not** redistribute any original news content. | |
| All data concern **corporate-level financial narratives** and contain no personal or sensitive information. The dataset is released **for academic research only** and must not be used for investment advice, real-world financial communication, or commercial purposes. | |
| The release includes a main benchmark (1,826 instances) and a hard-case subset (122 instances). | |
| ### Citation | |
| ```bibtex | |
| @article{jiang2026rfcbench, | |
| title = {All That Glisters Is Not Gold: A Benchmark for Reference-Free Counterfactual Financial Misinformation Detection}, | |
| author = {Jiang, Yuechen and Liu, Zhiwei and Cao, Yupeng and He, Yueru and Xu, Ziyang and Xu, Chen and Deng, Zhiyang and Tiwari, Prayag and Chen, Xi and Lopez-Lira, Alejandro and Huang, Jimin and Tsujii, Junichi and Ananiadou, Sophia}, | |
| journal = {arXiv}, | |
| year = {2026}, | |
| eprint = {2601.04160}, | |
| url = {https://arxiv.org/abs/2601.04160} | |
| } | |
| ``` |