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IOAI-official/ioai-2026-double-agent-dilemma

IOAI 2026 — Double Agent Dilemma Official contest data for Double Agent Dilemma, task 4 (Day 2) of the IOAI 2026 Individual Contest, held in Astana, Kazakhstan. Two pretrained image classifiers — a ResNet18 (CNN) and a ViT-Tiny (Transformer) — both reach 100% accuracy on the provided images. The task exploits where the two architectures disagree. The task statement, translations, baseline and grader live in the IOAI-2026 GitHub repository. This repository holds data only.… See the full description on the dataset page: https://huggingface.co/datasets/IOAI-official/ioai-2026-double-agent-dilemma.

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IOAI 2026 — Double Agent Dilemma

Official contest data for Double Agent Dilemma, task 4 (Day 2) of the IOAI 2026 Individual Contest, held in Astana, Kazakhstan.

Two pretrained image classifiers — a ResNet18 (CNN) and a ViT-Tiny (Transformer) — both reach 100% accuracy on the provided images. The task exploits where the two architectures disagree.

The task statement, translations, baseline and grader live in the IOAI-2026 GitHub repository. This repository holds data only.

Subsets

SubsetPathContestants saw itRole
Public – trainpublic/train/yeslabelled images
Public – testpublic/test_public/yespublic evaluation split
Public – dry-runpublic/pretrain/, public/pretest/yessmall slices for pipeline validation
Private – Leaderboard Aprivate/test_leaderboard_a/nolive leaderboard during the contest
Private – Leaderboard Bprivate/test_leaderboard_b/nofinal ranking

Each split holds images/ plus a labels.json mapping image index to class id.

Credits

All of this data was extracted and filtered from ImageNet.

Proposed by Tao Dajiang; developed by Tao Dajiang, Zhuldyz-Zhan Sagimbayev and Kamalkhan Artykbayev. Published by the IOAI 2026 Scientific Committee under CC BY 4.0.