Data provided by National Institute of Standards and Technology
SDNist v2 is a Python package that provides benchmark data and evaluation metrics for deidentified data generators.This version of SDNist supports using the NIST Diverse Communities Data Excerpts, a geographically partitioned, limited feature data set.The deidentified data report evaluates utility and privacy of a given deidentified dataset and generates a summary quality report with performance of a deidentified dataset enumerated and illustrated for each utility and privacy metric.
About this Dataset
Updated: 2025-04-06
Metadata Last Updated:
2023-03-13 00:00:00
Date Created:
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Data Provided by:
Dataset Owner:
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| Title | SDNist v2: Deidentified Data Report Tool |
|---|---|
| Description | SDNist v2 is a Python package that provides benchmark data and evaluation metrics for deidentified data generators.This version of SDNist supports using the NIST Diverse Communities Data Excerpts, a geographically partitioned, limited feature data set.The deidentified data report evaluates utility and privacy of a given deidentified dataset and generates a summary quality report with performance of a deidentified dataset enumerated and illustrated for each utility and privacy metric. |
| Modified | 2023-03-13 00:00:00 |
| Publisher Name | National Institute of Standards and Technology |
| Contact | mailto:[email protected] |
| Keywords | private information sharing , differential privacy , privacy , benchmarks , synthetic data |
{
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"fn": "Gary Howarth II"
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"landingPage": "https:\/\/github.com\/usnistgov\/SDNist",
"title": "SDNist v2: Deidentified Data Report Tool",
"description": "SDNist v2 is a Python package that provides benchmark data and evaluation metrics for deidentified data generators.This version of SDNist supports using the NIST Diverse Communities Data Excerpts, a geographically partitioned, limited feature data set.The deidentified data report evaluates utility and privacy of a given deidentified dataset and generates a summary quality report with performance of a deidentified dataset enumerated and illustrated for each utility and privacy metric.",
"language": [
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"title": "SDNist v2"
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"modified": "2023-03-13 00:00:00",
"publisher": {
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"name": "National Institute of Standards and Technology"
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"theme": [
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"keyword": [
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