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novastar111/sokoban_adaptive_3box_deadlock_hard_250

sokoban_adaptive_3box_deadlock_hard_250 BAGEL VLM-Gym world-model dataset (sokoban / eval). 250 hard 3-box deadlock episodes across five temptation quantiles (corner + subtle); train-disjoint deadlock-capability benchmark. layout: Held-out eval episode pool. shard_*.jsonl.gz at the repo root; one episode per row with a contiguous global index. images are base64-encoded JPEG frames stored inline in each JSONL row. Pairs with the matching sokoban checkpoint(s) under the… See the full description on the dataset page: https://huggingface.co/datasets/novastar111/sokoban_adaptive_3box_deadlock_hard_250.

sourceHugging Facecc-by-nc-4.0updated 1mo agoView on Hugging Face
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sokobanadaptive3boxdeadlockhard_250

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

  • —250 hard 3-box deadlock episodes across five temptation quantiles (corner + subtle); train-disjoint deadlock-capability benchmark.
  • —layout: Held-out eval episode pool. shard_*.jsonl.gz at the repo root; one episode per row with a contiguous global index.
  • —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.