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Data · dataset · 2026

AMNESIA

Listed in Hugging Face Datasets

Description

AMNESIA: A Large-Scale Medical Unlearning Benchmark Suite with Disease-Informed Analysis AMNESIA is the first large-scale, open-source benchmark for machine unlearning in the medical domain. It is designed to evaluate methods that selectively remove the influence of specific patient data from trained medical language models while preserving the model's overall clinical knowledge and utility — a capability motivated by privacy regulations such as the GDPR "right to be forgotten."… See the full description on the dataset page: huggingface.co/datasets/dsaeedeh/AMNESIA.

Links

Where it is published

Documentation and papers

Catalogue records · 1

Topics

Stated by source
question answering
Inferred from text
Machine learning 69%
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsdsaeedeh/AMNESIA15 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].anzsrc:group:4611enrichment · Hugging Facetaxonomy-embedding@1.1.0title+keywords+description (69%)
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[task].hf_task:question-answeringsource · 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
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