metadata
license: cc-by-nc-4.0
tags:
- bagel
- vlm-gym
- world-model
- sokoban
- dataset
sokoban_easy_noncot_chunk_k10_train
BAGEL VLM-Gym world-model dataset (sokoban / noncot).
- Non-CoT chunk-K train set (no imagined reasoning); re-grounds every K=10 steps.
- layout: Train-only. Gzipped-JSONL shards under
training/; each row is one packed SFT sample with base64-JPEG frames inline. - images are base64-encoded JPEG frames stored inline in each JSONL row.
Pairs with the matching sokoban checkpoint(s) under the companion model org; CoT and non-CoT
variants share the same underlying rollouts.