GetSkillary

OTTO Sessions

An ecommerce interaction benchmark for predicting what a shopper will click, add to cart, or order next.

Sessions & recommendations Open license stated

What the resource contains

  • About 12 million anonymized sessions
  • Timestamped article interactions: clicks, carts and orders
  • Approximately 220 million events involving 1.8 million article IDs

Potential uses

  • Train next-item recommenders
  • Model multi-event shopping journeys
  • Evaluate session-based recommendations

Access & formats

JSONL. External dependencies. Follow the project’s instructions on GitHub; some resources require external files, registration or approval.

License & reuse

The README explicitly licenses the dataset under CC BY 4.0 and the code under MIT. Attribution is required for data reuse.

Important limitations

Article identifiers are anonymized. This is a historical benchmark without descriptive live product catalogs.

Source & attribution

otto-de — original GitHub project ↗

Documentation reviewed 2026-09-24. Review scope and licensing notes. Suggest a correction.

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