sxu/RaVE_emnlp23

Dataset Card for VECHR Dataset Summary From Dissonance to Insights: Dissecting Disagreements in Rationale Construction for Case Outcome Classification In legal NLP, Case Outcome Classification (COC) must not only be accurate but also trustworthy and explainable. Existing work in explainable COC has been limited to annotations by a single expert. However, it is well-known that lawyers may disagree in their assessment of case facts. We hence collect a novel dataset… See the full description on the dataset page: https://huggingface.co/datasets/sxu/RaVE_emnlp23.