Datasetpublic

ultrastar111/pusht_96_norm4_cot_chunk_kinf_20260707_perseg

pusht_96_norm4_cot_chunk_kinf_20260707_perseg PushT (96px, norm4, JPEG q90; coverage task, no hard split — in-dist claims only) — action-conditioned visual world-model SFT data (CoT self-rollout) 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 executed." + real frame… See the full description on the dataset page: https://huggingface.co/datasets/ultrastar111/pusht_96_norm4_cot_chunk_kinf_20260707_perseg.

sourceHugging Facecc-by-nc-4.0updated 3mo agoView on Hugging Face

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Dataset Card

pusht96norm4cotchunkkinf20260707_perseg

PushT (96px, norm4, JPEG q90; coverage task, no hard split — in-dist claims only) — action-conditioned visual world-model SFT data (CoT self-rollout) 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 executed." + real frame re-grounding turn between chunks. nonCoT rows: bare action chunks. Build argv + git rev in metadata/.
—Companion checkpoint: ultrastar112/pusht_96_norm4_cot_chunk_kinf_world_model_20260707_perseg
—Full study docs: 0710_train.md / 0711_mulnode_eval.md / 0711_hf_release.md in the study repo.
—License: CC-BY-NC-4.0 (research use).