SICSS 2026 Synthetic Shoppers Challenge · Open submissions
SICSS 2026 — Final submission
Upload your test-set predictions file. Self-check on training data locally with shop-evaluate.
Predictions file
Accepted formats: .jsonl, .json, or .csv. Required fields: record_id, persona_id, purchase_probability (0–1), reason. Include every test record_id.
No file selected
Or paste file contents manually
Your name (shown on the leaderboard)
No account needed. Please don’t include sensitive personal data.
Response
Before you submit
- Export predictions as
test_predictions.jsonlor CSV from your script - Validate on training rows:
poetry run shop-evaluate -p my_train_preds.jsonl - Resubmitting replaces your previous entry (latest submission counts)
- Scores appear on the leaderboard after submission