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CITATION.cff
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cff-version: 1.2.0
title: "SDNist: Benchmark Data and Evaluation Tools for Data Sythesizers"
abstract: "We present a set of benchmark data and metrics for the evaluation of synthetic data generators on structured tabular data. These benchmarks are distributed as a simple open-source Python package to allow standardized and reproducible comparison of synthetic generator models on real-world data and use cases. These data and metrics were developed for and vetted through the NIST PSCR Differential Privacy Temporal Map Challenge; the evaluation tools, k-marginal and Higher Order Conjunction, proved effective in distinguishing competing models in the competition environment."
message: >-
If you use this repository or present information about it publicly, please cite us.
type: software
version: 1.7.0
doi: 10.18434/mds2-2515
date-released: 2021-12-16
contact:
- affiliation: "Public Safety Communications Division, National Institute of Standards and Technology"
email: [email protected]
family-names: Gary
given-names: Howarth
authors:
- family-names: Grégoire
given-names: Lothe
affiliation: Sarus Technology
email: [email protected]
- family-names: Task
given-names: Christine
affiliation: Knexus Research Corporation
email: [email protected]
- family-names: Slavitt
given-names: Isaac
affiliation: DrivenData
- family-names: Nicolas
given-names: Grislain
affiliation: Sarus Technology
email: [email protected]
- family-names: Bhagat
given-names: Karan
affiliation: Knexus Research Corporation
- family-names: Streat
given-names: Damon
affiliation: Knexus Research Corporation
- family-names: Howarth
given-names: Gary
affiliation: Public Safety Communications Division, National Institute of Standards and Technology
email: [email protected]
ORCID: 0000-0002-3587-0546