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novastar111/sokoban_easy_noncot_chunk_k1_train

sokoban_easy_noncot_chunk_k1_train BAGEL VLM-Gym world-model dataset (sokoban / noncot). Non-CoT chunk-K train set (no imagined reasoning); re-grounds every K=1 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… See the full description on the dataset page: https://huggingface.co/datasets/novastar111/sokoban_easy_noncot_chunk_k1_train.

sourceHugging Facecc-by-nc-4.0updated 1mo agoView on Hugging Face

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Dataset Card

sokobaneasynoncotchunkk1_train

BAGEL VLM-Gym world-model dataset (sokoban / noncot).

—Non-CoT chunk-K train set (no imagined reasoning); re-grounds every K=1 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.