USClassActions / README.md
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license: gpl-3.0

Dataset Description

Dataset Summary

USClassActions is an English dataset of 3K complaints from the US Federal Court with the respective binarized judgment outcome (Win/Lose). The dataset poses a challenging text classification task. We are happy to share this dataset in order to promote robustness and fairness studies on the critical area of legal NLP. The data was annotated using Darrow.ai proprietary tool.

Data Instances

from datasets import load_dataset
dataset = load_dataset('darrow-ai/USClassActions')

Data Fields

id: (int) a unique identifier of the document
target_text: (str) the complaint text
verdict: (str) the outcome of the case \

Curation Rationale

The dataset was curated by Darrow.ai (2022).

Citation Information

Gil Semo, Dor Bernsohn, Ben Hagag, Gila Hayat, and Joel Niklaus ClassActionPrediction: A Challenging Benchmark for Legal Judgment Prediction of Class Action Cases in the US Proceedings of the 2022 Natural Legal Language Processing Workshop. Abu Dhabi. 2022

@InProceedings{Darrow-Niklaus-2022,
  author = {Semo, Gil
                and Bernsohn, Dor
                and Hagag, Ben
                and Hayat, Gila
                and Niklaus, Joel},
  title = {ClassActionPrediction: A Challenging Benchmark for Legal Judgment Prediction of Class Action Cases in the US},
  booktitle = {Proceedings of the 2022 Natural Legal Language Processing Workshop},
  year = {2022},
  location = {Abu Dhabi, EMNLP2022},
}