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✖ `evaluation_framework` must be omitted or one of: exgentic, inspect-ai, math-arena, mteb, olmocr-bench, harbor, ifstruct, pier, redline-bench, archipelago, benchflow, apex-evals, screenspot-pro, swe-bench, swe-bench-pro, nemo-evaluator, yc-bench, open-asr-leaderboard, mdpbench, real5-omnidocbench, parsebench, video-mme-v2, claw-eval, researchclawbench, pbench, wildclawbench, wbench, nanofold, mmmu, extractbench → at evaluation_framework
VLABench / eval.yaml
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# eval.yaml for VLABench/vlabench_primitive_ft_lerobot_video
name: VLABench Primitive Tasks
description: >
VLABench primitive-tasks benchmark dataset in LeRobot v3.0 format (video-
compressed visual observations). 5000 episodes / 575,101 frames on a Panda
robot at 10 fps, covering 10 primitive manipulation tasks. Models trained on
this dataset can be further evaluated on the generalization tracks in
VLABench.
evaluation_framework: none
tasks:
- id: overall
config: default
split: overall
- id: add_condiment
config: add_condiment
split: train
description: Add-condiment manipulation task.
- id: insert_flower
config: insert_flower
split: train
description: Insert-flower manipulation task.
- id: select_book
config: select_book
split: train
description: Select-book manipulation task.
- id: select_chemistry_tube
config: select_chemistry_tube
split: train
description: Select-chemistry-tube manipulation task.
- id: select_drink
config: select_drink
split: train
description: Select-drink manipulation task.
- id: select_fruit
config: select_fruit
split: train
description: Select-fruit manipulation task.
- id: select_mahjong
config: select_mahjong
split: train
description: Select-mahjong manipulation task.
- id: select_painting
config: select_painting
split: train
description: Select-painting manipulation task.
- id: select_poker
config: select_poker
split: train
description: Select-poker manipulation task.
- id: select_toy
config: select_toy
split: train
description: Select-toy manipulation task.