Does the system explain an absent relationship instead of inventing a link?

Appropriate insufficient-evidence responses, invented-link rate and accuracy on supported or explicitly negative relationships.

The study calls for Question and allowed records, Supported relationship evidence, Reviewed negative or unknown cases and Answer and source citations. The measure to examine is appropriate insufficient-evidence responses, invented-link rate and accuracy on supported or explicitly negative relationships.

Research datasets are prepared after an order for the selected city, date range and study requirements. The final schema and dated relationships are agreed for that extract.

Onboarded city options

Nairobi (Kenya) · Lagos (Nigeria)

Custom city requests

African Major Cities · Additional cities require availability, scope and quote confirmation.

Data type

Synthetic

Priced domains

Households, Business, Employment, Finance

Catalogue structure

Question-specific research data

Key features

Record concepts for your order-specific extract.

Who it is for

• AI engineers
• evaluation teams
• researchers
• data scientists

Proposed study unit

Relationship question at an evidence cutoff

Planned records and relationships for this study.

Record concepts for your extract

• Question and allowed records
• Supported relationship evidence
• Reviewed negative or unknown cases
• Answer and source citations

The agreed specification defines the final columns, keys, relationships and observation period for your order.

Use an adjudicated rubric distinguishing supported, verified negative and unknown relationships; report false assertions and unnecessary abstentions.

Proposed questions for your custom order

1. Does the system explain an absent relationship instead of inventing a link?

Proposed research and analytical applications

• Grounded evaluation
• retrieval comparison
• evidence review

Study and modeling guidance

Information available at prediction or evaluation time

Judge only relationships supported by records available at cutoff; later links do not justify earlier assertions.

Comparison and evaluation

Use an adjudicated rubric distinguishing supported, verified negative and unknown relationships; report false assertions and unnecessary abstentions.

Incomplete observation

Absence of a graph edge remains unknown unless a complete, validated relationship universe establishes a negative.

Data generation

FCTE synthetic city engine

Data classification

Synthetic

FCTE generation methods and published city/domain checks provide source context. The order defines the final extract and the release-specific checks, documentation and limitations supplied with it.

Known limitations

• The reference evidence categories and verified-negative criteria require review; they are not inferred from missing edges.
• Additional adjudicated unsupported cases may be required; no ready gold-answer set is asserted.
• A plausible explanation without source support is not a correct grounded answer.
• Confirm source records, reference answers and evaluation criteria in the quote.
• Synthetic records describe generated scenarios; they do not establish observed population prevalence or real-world causal effects.

Catalogue base price

$695 USD

Price basis

Base price per selected city

Availability

Prepared after order

The displayed catalogue amount is a base price per selected city. Your requested dates, population, fields, formats and usage rights determine the agreed scope and final quote. Applicable published discounts and taxes are confirmed with that quote.

Your prepared package

Your order confirms the data files, documentation, evidence, examples and release controls included in the prepared package.

• Agreed data extract
• Schema and field documentation
• Release-specific evidence and limitations
• Agreed loading or analysis examples
• Licence, manifest, checksums and delivery note

SD_RESEARCH_DATASET/
├── data/
│   ├── household_history.parquet
│   ├── business_records.parquet
│   ├── employment_records.parquet
│   └── finance_records.parquet
├── tasks/
│   ├── task_definition.yaml
│   ├── questions.jsonl
│   ├── reference_answers.jsonl
│   └── evidence_paths.jsonl
├── evaluation/
│   ├── baseline_model.py
│   ├── metrics.json
│   └── example_notebook.ipynb
├── documentation/
│   ├── README.md
│   ├── DATA_DICTIONARY.csv
│   ├── SCHEMA.md
│   └── METHODOLOGY.md
├── evidence/
│   ├── CERTIFICATION.json
│   ├── VALIDATION_REPORT.pdf
│   └── KNOWN_LIMITATIONS.md
├── MANIFEST.json
├── CHECKSUMS.sha256
└── LICENSE.pdf

Delivery process

Confirm the cities, date range, records, formats, rights and price in writing. The order-specific extract is then prepared and supplied under the agreed payment and delivery conditions.

One secure download package for the agreed release and licensed entity.

Delivery timing, access expiry, formats and prerequisites are confirmed in the accepted order.

Support, refreshes, future releases, hosting and APIs are included only when expressly ordered.

Data Licensing Agreement · 2026-10

A non-exclusive, non-transferable licence for the named customer within the accepted scope and duration.

Permitted use

Internal research, development, testing and analytics within the accepted order.

Model training

Model training, external applications, commercial distribution and access by other legal entities must be expressly addressed in the order.

Redistribution

Raw or substantially reconstructable data cannot be resold, published or redistributed without separate written authorization.

Attribution

Preserve release provenance and applicable third-party notices. Published outputs must identify the data as synthetic.