Datasets:

rmahari
/

LePaRD

@@ -6,7 +6,6 @@ tags:
 - legal
 size_categories:
 - 10M<n<100M
-repository: https://github.com/rmahari/LePaRD
 ---
 LePaRD is a massive collection of U.S. federal judicial citations to precedent in context. LePaRD builds on millions of expert decisions by extracting quotations to precedents from judicial opinions along with the preceding context. Each row of the dataset corresponds to a quoted passage from prior case law used in a certain context.
@@ -31,4 +30,4 @@ Note that multiple slightly different quotes can map to the same passage as judg
 In the vocabulary of information retrieval, the destination_context can be seen as a query, and the predicted passage_id (or the actual text of a passage in passage_dict.json) can be seen as the targets.
-LePaRD was created by [Mahari et al.](https://arxiv.org/abs/2311.09356)

 - legal
 size_categories:
 - 10M<n<100M
 ---
 LePaRD is a massive collection of U.S. federal judicial citations to precedent in context. LePaRD builds on millions of expert decisions by extracting quotations to precedents from judicial opinions along with the preceding context. Each row of the dataset corresponds to a quoted passage from prior case law used in a certain context.
 In the vocabulary of information retrieval, the destination_context can be seen as a query, and the predicted passage_id (or the actual text of a passage in passage_dict.json) can be seen as the targets.
+LePaRD was created by [Mahari et al.](https://arxiv.org/abs/2311.09356). More information on using LePaRD and a replication package for our paper can be found in the [LePaRD Github Repo](https://github.com/rmahari/LePaRD).