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    Home / Central Data Catalog / WLD_2023_SYNTH-SVY-EN_V01_M
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Synthetic Data for an Imaginary Country, Sample, 2023
A synthetic hierarchical dataset for simulation and training purposes

World, 2023
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Reference ID
WLD_2023_SYNTH-SVY-EN_v01_M
Producer(s)
Development Data Group, Data Analytics Unit
Metadata
DDI/XML JSON
Created on
Jul 07, 2023
Last modified
Jul 07, 2023
Page views
11149
Downloads
2721
  • Study Description
  • Data Description
  • Documentation
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Documentation
Questionnaires
Fake questionnaire and survey information
Download [XLSX, 41.25 KB]
Date 2023-05
Description A fake questionnaire and some additional information corresponding to the variables included in the synthetic dataset, intended to be used as training material only. Contains this information in English and French.
Download https://microdata.worldbank.org/index.php/catalog/5906/download/62497
Technical documents
Generating a relational synthetic dataset for an imaginary country - Technical documentation
Download [PDF, 1.2 MB]
Author(s) Olivier Dupriez and Aivin V. Solatorio
Date 2023-06
Language English
Description A technical description of the process of generating the synthetic dataset.
Download https://microdata.worldbank.org/index.php/catalog/5906/download/62498
Other Materials
REaLTabFormer GitHub repository
External link
Author(s) Aivin V. Solatorio
Language English
Description GitHub repository for the synthetic data generation models, available openly.
Download https://github.com/avsolatorio/REaLTabFormer
Sample selection R script
Download [R, 16.09 KB]
Author(s) Thijs Benschop
Date 2023-05
Description A R script used to extract the sample of 8,000 households from the full synthetic dataset.
Download https://microdata.worldbank.org/index.php/catalog/5906/download/62500
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