BAGEL VLM-Gym world-model dataset (sokoban / trickiness).
Open-loop CoT train set with trickiness-graded reasoning (fires reasoning at graded-difficulty 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… See the full description on the dataset page:
https://huggingface.co/datasets/novastar111/sokoban_easy_cot_kinf_trickiness_train.