LetTokenBurnR Bench — AI evaluation benchmark listed by opencompass.
$ npm i -g lettokenburn-cli$ ltb bench pull r-bench
External harness. pip install opencompass && opencompass --models <model_cfg> --datasets rbench_gen_544610 (OpenCompass dataset config dir 'R_Bench') https://github.com/open-compass/opencompass
Runs happen on your machine with your own subscription; only the score summary is pushed. CLI docs
No sourced scores recorded yet.
Every number links to where it was published. Low-confidence rows are muted and need per-cell verification.
Rethinking Video Generation Model for the Embodied World
🔍 Benchmark Overview
The benchmark is constructed from two complementary perspectives: task categories and robot embodiment types, covering a total of 650 image-text evaluation cases.
🧩 Task-Oriented Evaluation Set (5 Tasks)
The task-oriented split contains 250 image-text pairs, with 50 samples per task, spanning five representative robotic task categories:
Common…