AI training datasets: browse the off-the-shelf catalog
Off-the-shelf (OTS) AI training datasets are pre-collected, pre-licensed datasets that teams can license and use immediately for model training, fine-tuning, and evaluation, without commissioning a custom collection. Each dataset in Appen's catalog ships with a spec sheet documenting source, consent, annotation method, known limitations, and license terms.
596 datasets across eight categories, from reinforcement learning (RL) tasks and verifiers to speech, code, and enterprise data. All are collected under documented consent and licensing terms, with provenance records your legal and compliance teams can review.
Off-the-shelf vs custom AI training data
Choose off-the-shelf when: You need broad coverage of common categories, or extra volume to supplement custom data.
Choose custom when: You need specific demographics, acoustic environments, specialist domains, or a controlled collection protocol.
Combine both when: An off-the-shelf set covers the baseline and custom collection fills specific gaps.
How Appen datasets are collected, licensed, and documented
Consent & licensing
Contributor consent and documented licensing. Perpetual, non-exclusive commercial training rights.
Provenance
Source, annotation method, collection year, coverage period, and limitations documented.
Annotation quality
Cohen’s kappa or Krippendorff’s alpha, with thresholds and adjudication protocols.
Governance
SOC 2 Type II, ISO 27001, GDPR/CCPA handling, EU AI Act documentation. 500+ locales.
Licensing scope, delivery formats, and timelines
Connected-car speech recognition
10+ years of in-car speech collection across 20+ languages — so the OEM's engineers could launch voice recognition in new markets without building a linguistics team.
AI training data catalog: common questions
What is an AI training data catalog?
Can I license Appen datasets for commercial model training?
How is off-the-shelf training data different from custom data collection?
What documentation comes with each dataset?
Are the datasets ethically sourced?
Can I get a sample before licensing?
How many languages does the speech catalog cover?
How current is the data?
Need a specific dataset?
Tell us the modality, locale, and volume.