---
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.