KDD D&B Track 2026

Deadlines
AI/CORE Unranked

KDD D&B Track 2026

KDD 2026 Datasets and Benchmarks Track (Cycle 2)

Aug 06 2026Jeju, KoreaOfficial conference site Site reachable

The KDD 2026 Datasets and Benchmarks Track invites submissions of high-quality datasets and benchmarks to advance research in data mining and knowledge discovery. It emphasizes reproducibility, usability, and impact, encouraging contributions that enable rigorous evaluation and innovation across machine learning and AI domains.

Official CFP Back to deadlines Verified September 9, 2026

Key deadlines

Verified September 9, 2026

Abstract registration

February 2, 2026

AoE

Full paper

February 9, 2026

AoE

Conference timeline

Submission and decisions

Abstract registrationKey deadline

February 2, 2026 · AoE

Full paperKey deadline

February 9, 2026 · AoE

Paper fit

Contribution paths

A strong submission should clearly identify its contribution and evaluate it appropriately.

Dataset Papers

Submissions that introduce a new dataset with detailed documentation, usage guidelines, and evaluation protocols.

Benchmark Papers

Submissions that propose a standardized benchmark for evaluating models or algorithms, including baselines and performance metrics.

Research areas in scope

01

Datasets and Benchmarks

Novel datasets for machine learning and AIBenchmark suites for evaluating algorithmsData curation and preprocessing methodologiesEthical and fair data practicesDomain-specific datasets (e.g., healthcare, finance, climate)Open data initiatives and data sharing frameworksDataset provenance, versioning, and metadata standardsBenchmarking methodologies and evaluation protocolsReal-world data challenges and deployment scenariosSynthetic and simulated data generation

Policies worth checking twice

  • Submissions must be original and not under review elsewhere.
  • Dual submission to other KDD tracks or conferences is not permitted.
  • All submissions must include a reproducibility package (data, code, documentation).
  • Anonymization is required for blind review: remove author names and affiliations from the paper.
  • Authors must disclose any use of AI tools in dataset creation or benchmark design.
  • Maximum paper length is 12 pages (excluding references).
  • Author lists cannot be changed after the submission deadline.

Official sources

Compiled from the official call for papers. The organizers’ pages remain authoritative.

Last verified September 9, 2026

KDD D&B Track 2026: deadlines, venue, and submission guide | COREXA