The Overruling dataset is a law dataset corresponding to the task of determining when a sentence is overruling a prior decision. This is a binary classification task, where positive examples are overruling sentences and negative examples are non-overruling sentences extracted from legal opinions. In law, an overruling sentence is a statement that nullifies a previous case decision as a precedent, by a constitutionally valid statute or a decision by the same or higher ranking court which establishes a different rule on the point of law involved. The Overruling dataset consists of 2,400 sentences.
To read more about the dataset, please see our paper or our blogpost.
Variants: Overruling
This dataset is used in 1 benchmark:
Task | Model | Paper | Date |
---|---|---|---|
Text Classification | Custom Legal-BERT | When Does Pretraining Help? Assessing … | 2021-04-18 |
Text Classification | Legal-BERT | When Does Pretraining Help? Assessing … | 2021-04-18 |
Text Classification | BERT | When Does Pretraining Help? Assessing … | 2021-04-18 |
Recent papers with results on this dataset: