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Artificial Intelligence · AI-16

Evidence-Based Outcome Explanation

Evaluate whether AI can explain recorded synthetic outcomes using relevant education, employment, household and financial evidence.

  • Synthetic records
  • Connected longitudinal
  • Nairobi + Lagos
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Scope & purpose

Connected scope

Use connected cases to assess whether generated explanations are supported by the record.

  • Education
  • Employment
  • Households
  • Finance

Assess identity, dates and factual support against the supplied records. Agree evaluation references before delivery.

Possible uses

Task prototyping · Evidence tracing · Error analysis · Controlled evaluation

Who it is for

Explainable-AI teams · model-risk groups · evaluators · applied research labs

Preview type
Illustrative format preview
Shows example structure and fields. It is not a sample extracted from the paid release.
Commercial availability
Confirmed in your written quote
The listed cities describe catalogue coverage. We confirm the exact release and available extract before agreement.
Starting-price basis
USD per selected city
Cohort size and period are specified in the quote; the listed rate does not define a fixed-size package. Discount and tax are shown separately.
Your agreed delivery
Scope and supporting artifacts listed in the quote
Confirm entities or rows, observation period, fields, formats, documentation, evidence, known limits and usage rights.

Paid dataset delivery

What you receive

SD delivery standard
Published cities
Nairobi + Lagos
Record scope
Resident + linked events
Structure
Connected longitudinal

Striped Donkey delivery package

  • data/Agreed extract and formats
  • documentation/Schema, fields and relationships
  • evidence/Agreed release checks and limits
  • examples/Agreed loading and join examples
  • LICENSEApplicable rights
  • MANIFESTRelease and file inventory
  • CHECKSUMSSHA-256 fingerprints
  • DELIVERY_NOTEScope and handoff record

Your written quote confirms selected cities, period, formats, commercial rights, detailed artifacts and secure delivery. The complete paid package is prepared privately after agreement.

Free evaluation preview

Inspect before you request

15 illustrative rows · 11 fields · CSV

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Illustrative rows show the format. Your quote confirms delivered records, fields and time coverage.

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Fields and record structure

Listed features

Resident + linked events · Connected longitudinal

  • enrolment history
  • qualification / completion
  • education transitions
  • employment spells
  • employer / work transitions
  • earnings context
  • household composition

Study question

Evaluation design

Can an AI explain a recorded education, employment or financial outcome by citing relevant earlier events and clearly separating evidence from possible explanations?

Use reviewed relevant facts and known outcomes; score evidence selection, temporal relevance and unsupported causal claims separately from readability.

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Evidence you can inspect

Source & limitations

Review release-specific methods and published checks. Preview rows show format and scope; they do not certify a dataset.

Supporting references
NairobiEvidenceSamples
LagosEvidenceSamples
MethodsGenerationReproduce

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Licence & delivery

Free preview

Use free samples under the public-use policy or their dataset-specific licence. Attribution is required for publication and research outputs.

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Purchased dataset

Your agreement defines the release, licensed organization, permitted uses and duration. Commercial model training, external applications and redistribution require explicit agreement.

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