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Data · dataset · 2022

mitclinicalml/clinical-ie

Listed in Hugging Face Datasets

Below, we provide access to the datasets used in and created for the EMNLP 2022 paper Large Language Models are Few-Shot Clinical Information Extractors.

Description

Task #1: Clinical Sense Disambiguation For Task #1, we use the original annotations from the Clinical Acronym Sense Inventory (CASI) dataset, described in their paper. As is common, due to noisiness in the label set, we do not evaluate on the entire dataset, but only on a cleaner subset.

For consistency, we use the subset defined… See the full description on the dataset page: huggingface.co/datasets/mitclinicalml/clinical-ie.

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Catalogue records · 1

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Provenance · 1 source records, 7 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsmitclinicalml/clinical-ie14 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
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