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--- |
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license: mit |
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task_categories: |
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- text-classification |
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language: |
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- en |
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tags: |
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- Finance |
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- Misinformation |
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pretty_name: BFC-Bench |
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size_categories: |
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- 1K<n<10K |
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--- |
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## Dataset Description |
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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. |
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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. |
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The release includes a main benchmark (1,826 instances) and a hard-case subset (122 instances). |
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### Citation |
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```bibtex |
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@article{jiang2026rfcbench, |
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title = {All That Glisters Is Not Gold: A Benchmark for Reference-Free Counterfactual Financial Misinformation Detection}, |
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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}, |
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journal = {arXiv}, |
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year = {2026}, |
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eprint = {2601.04160}, |
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url = {https://arxiv.org/abs/2601.04160} |
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} |
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``` |
