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Table · dataset · 2022

compas-recividivsm

Listed in Hugging Face Datasets

Port of the compas-recidivism dataset from propublica (github here).

Description

See details there and use carefully, as there are serious known social impacts and biases present in this dataset. Basic preprocessing done by the imodels team in this notebook.

The target is the binary outcome is_recid. Sample usage Load the data: from datasets import load_dataset dataset = load_dataset("imodels/compas-recidivism") df = pd.DataFrame(dataset['train']) X = df.drop(columns=['is_recid']) y =… See the full description on the dataset page: huggingface.co/datasets/imodels/compas-recidivism.

Links

Where it is published

Catalogue records · 1

Topics

Stated by source
tabular · tabular classification
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsimodels/compas-recidivism15 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[task].hf_task:tabular-classificationsource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0