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Global Benchmark Database

Markus Iser, Christoph JabsPublished Jan 1, 2024
DOI Publisher
Researcher verdict
Context only
Use as context only
Benchmark evidence
Missing
Not verified yet
Time to first repro
A few days
Plan setup time
Risk flags
1
Review before use

Abstract

Domain fit: AI-adjacent · Paper appears method- or tooling-adjacent to AI workflows with partial ecosystem coverage.

This paper presents Global Benchmark Database (GBD), a comprehensive suite of tools for provisioning and sustainably maintaining benchmark instances and their metadata. The availability of benchmark metadata is essential for many tasks in empirical research, e.g., for the data-driven compilation of benchmarks, the domain-specific analysis of runtime experiments, or the instance-specific selection of solvers. In this paper, we introduce the data model of GBD as well as its interfaces and provide examples of how to interact with them. We also demonstrate the integration of custom data sources and explain how to extend GBD with additional problem domains, instance formats and feature extractors.

Results and benchmarks

Freshness tier: cold
This paper presents Global Benchmark Database (GBD), a comprehensive suite of tools for provisioning and sustainably maintaining benchmark instances and their metadata.

Implementation

No direct implementation yet

Maintained implementation evidence is not confirmed for this paper yet.

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Implementation evidence summary
Confidence: medium

digoal/blog is the closest maintained adjacent implementation (Matches contextual method/domain keyword: database). It is not paper-verified; validate algorithm and evaluation setup against the paper before trusting reported metrics. Community adoption signal: 8564 GitHub stars.

Reproduction risks
  • Adjacent implementations are not paper-verified
  • Recommended repository is adjacent and not paper-verified.

Reproduction readiness

Time to first repro: days
Last checked: Aug 25, 2026

No repo

No verified implementation available

  • No maintained repository has been identified for this paper. Check adjacent implementations or HF artifacts below.

Hardware requirements

  • Expect multi-day setup/compute for meaningful reproduction based on current guidance.

Repositories and ecosystem

Closest related implementations

These are not paper-verified. Use them as reference points when no direct implementation is available.

  • digoal/blog Adjacent · Confidence: Medium · 8,564 stars

    Matches contextual method/domain keyword: database

No additional verified repositories beyond the primary recommendation.

Hugging Face artifacts

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Research context

3

Citations

0

References

Tasks

Benchmark (surveying), Database, Computer science, Geography, Physical Sciences

Methods

None detected

Domains

Artificial Intelligence

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Benchmark (surveying) Database Computer science Geography Physical Sciences Artificial Intelligence