ultrastar111/maze2d_easy_native256_noncot_chunk_k1_20260707_perseg
maze2d_easy_native256_noncot_chunk_k1_20260707_perseg Maze2d (native 256px, JPEG q95; navigation with stop-required success, easy→hard split) — action-conditioned visual world-model SFT data (non-CoT action-chunk baseline) for the BAGEL-7B-MoT feedback-interval study. Format: gzipped JSONL shards under training/, 1 row = 1 packed episode. CoT rows: per-segment layout — <think> per-step imagined frame (MSE target) </think> + committed action chunk, with a loss-0 "Action… See the full description on the dataset page: https://huggingface.co/datasets/ultrastar111/maze2d_easy_native256_noncot_chunk_k1_20260707_perseg.
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