Datasets › Causal Triplet
Causal Triplet
Causal Triplet is a causal representation learning benchmark featuring not only visually more complex scenes, but also two crucial desiderata commonly overlooked in previous works:
1) An actionable counterfactual setting, where only certain object-level variables allow forcounterfactual observations whereas others do not.
2) An interventional downstream task with an emphasis on out-of-distribution robustness from the independent causal mechanisms principle.
Source: Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning
Image Source: https://arxiv.org/pdf/2301.05169v1.pdf
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 2 papers for it but never published that list.
Dataset loaders archive 2025-07-28
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Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- Causal Triplet
1 variant name, as the archive lists them.
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