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Table · dataset · 2022

darrow-ai/USClassActionOutcomes_ExpertsAnnotations

Listed in Hugging Face Datasets

Dataset

Description

Summary

USClassActions is an English dataset of 200 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.

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The data was annotated using Darrow.ai proprietary tool. Data Instances from datasets import load_dataset dataset =… See the full description on the dataset page: huggingface.co/datasets/darrow-ai/USClassActionOutcomes_ExpertsAnnotations.

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Documentation and papers

Catalogue records · 1

Topics

Stated by source
tabular · text
Inferred from text
Text 75%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsdarrow-ai/USClassActionOutcomes_ExpertsAnnotations15 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:tabularsource · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:textsource · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].local:modality:textenrichment · Hugging Facekeyword-concept-rules@1.0.0title+description (75%)
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
licensesource · Hugging Faceconnector:huggingface@1.0.0/tags[license:*]
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0