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Data · dataset · 2022

n2c2 2006 De-identification

Listed in Hugging Face Datasets

The data for the de-identification challenge came from Partners Healthcare and included solely medical discharge summaries.

Description

We prepared the data for the challengeby annotating and by replacing all authentic PHI with realistic surrogates. Given the above definitions, we marked the authentic PHI in the records in two stages.

In the first stage, we used an automatic system.31 In the second stage, we validated the output of the automatic system manually. Three annotators, including undergraduate and graduate students and a professor, serially made three manual passes over each record. They marked and discussed the PHI tags they disagreed on and finalized these tags after discussion.

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The original dataset does not have spans for each entity. The spans are computed in this loader and the final text that correspond with the tags is preserved in the source format

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Text 75%
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsbigbio/n2c2_2006_deid14 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].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
license_textsource · Hugging Faceconnector:huggingface@1.0.0
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0