Datasets › ConCon Dataset

ConCon Dataset (Continually Confounded Dataset)

Introduced by Florian Peter Busch et al. in Where is the Truth? The Risk of Getting Confounded in a Continual World9 Feb 2024 archive 2025-07-28

ConCon: Continually Confounded Dataset is a confounded visual dataset for continual learning.

Files contained:

case_disjoint, case_strict and unconfounded consist of splits for training (train), validation (val), testing (test).

Each split within case_disjoint and case_strict contains 3 tasks (t0, t1, t2) whereas there is 1 task (t0) within unconfounded.

Each task contains folders for postive(1) and negative(0) images.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

No loader listed in the archive.

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

No modality tagged.

1 variant name, as the archive lists them.

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