metadata
license: cc-by-4.0
pretty_name: COSPLAN
configs:
- config_name: checkboard
data_files:
- split: test
path: checkboard/metadata.jsonl
- config_name: blocksworld
data_files:
- split: test
path: blocksworld/metadata.jsonl
- config_name: imagenet
data_files:
- split: test
path: imagenet/metadata.jsonl
- config_name: robovqa
data_files:
- split: test
path: robovqa/metadata.jsonl
COSPLAN
A composite visual-planning benchmark with four multiple-choice subsets. Each
subset is a separate config in HuggingFace imagefolder format (images +
metadata.jsonl). Every row has an image, a prompt, and a correct_option
(A/B/C/D).
| Config | Items | Task |
|---|---|---|
checkboard |
4896 | Grid path planning around obstacles |
blocksworld |
5000 | Block-stacking move-sequence selection |
imagenet |
1000 | Image-patch rearrangement validation |
robovqa |
300 | Robot action-sequence selection |
Usage
from datasets import load_dataset
ds = load_dataset("shrg7/COSPLAN", "blocksworld", split="test")
print(ds[0]["prompt"], ds[0]["correct_option"])