FinCausal 2026 Shared Task: Financial Causality Detection
Deadline: 16 February 2026
FinCausal 2026 Shared Task focuses on detecting causality in financial reports, with a new dataset and evaluation metric.
The FinCausal 2026 Shared Task at FNP 2026 focuses on Financial Causality Detection, aiming to develop the ability to explain why transformations occur in the financial landscape. The task involves identifying cause-and-effect relationships within given segments of financial annual reports.
Key features of FinCausal 2026 include:
- Expanded dataset with 500 new examples in English and Spanish, featuring complex cause-and-effect structures.
- Rephrased abstractive questions to require more advanced reasoning.
- Introduction of an LLM-as-a-judge evaluation metric, scoring system responses on a 1-5 scale.
Participants can use any method to identify cause or effect, and the task is divided into two subtasks: one in English and one in Spanish.
For more information, visit FinCausal 2026.
Contact the organisers at lli@uam.es for any questions.
Tags: Financial Causality Detection, FinCausal 2026, NLP, AI, Shared Task
