ViFailback Dataset: Real World Robotic Manipulation Failure Dataset with Visual Symbol Guidance A real world dataset for diagnosing, correcting, and learning from robotic manipulation failures via visual symbols. ViFailback is a large scale, real world robotic manipulation failure dataset introduced in the CVPR 2026 paper "Diagnose, Correct, and Learn from Manipulation Failures via Visual Symbols" . It introduces visual symbols as an efficient interface for failure diagnosis and recovery oriented learning. 🚀 Highlights 5,202 real world manipulation trajectories. 58,128 high quality VQA pairs. 100 distinct manipulation tasks. 4 major failure categories. Features ViFailback Bench (Lite & Hard) and the finetuned ViFailback 8B VLM. 📊 Dataset Statistics Total trajectories : 5,202 (Successful: 657 Failed: 4,545) Total VQA pairs : 58,128 Tasks : 100 (including place, pull, transfer, pour, etc.) Platform : ALOHA dual arm robot platform. Failure Taxonomy Type Description % : : : Task Planning Errors in the high level task plan. 12.40% Gripper 6D Pose The gripper fails to reach its correct position or orientation. 53.27% Gripper State The gripper does not close or open properly, or its lev…
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