Dataset · Hugging Face

torux/EditCLEVR

Name: EditCLEVR
Creator: torux
License: cc-by-4.0
Keywords: task_categories:image-to-image, language:en, license:cc-by-4.0, size_categories:10K<n<100K, region:us, object-centric-learning, intervention-faithfulness, CLEVR, synthetic, computer-vision

EditCLEVR Phase 1 EditCLEVR is a synthetic benchmark for evaluating intervention faithfulness in object-centric representations. Each example is a paired before/after scene where exactly one object-level factor may change. Dataset summary ~20k paired edits across six evaluation splits Suites: atomic single-factor edits, no-edit controls, hard distractors, and CoGenT-OOD combinations Per-object factors: color, material, size, shape Artifacts per pair: before/after… See the full description on the dataset page: https://huggingface.co/datasets/torux/EditCLEVR.

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Author / organization	torux
License (as declared)	cc-by-4.0
Downloads	206 (as reported by Hugging Face)
Likes	0
Created	14 June 2026
Last updated at source	14 June 2026

object-centric-learningintervention-faithfulnessCLEVRsyntheticcomputer-vision

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