Datasets:
__bagel_order_key stringlengths 12 12 | task stringclasses 1
value | env_id stringclasses 1
value | env_kwargs dict | seed int64 2.03B 2.03B | episode_seed int64 3.03B 3.03B | episode int64 0 75.2k | extra_state dict | init_state dict | init_state_hash stringlengths 64 64 | stats dict | version stringclasses 1
value | alignment_index dict | messages listlengths 2 2 | chunk_size stringclasses 1
value | n_steps int64 5 30 | n_chunks int64 1 1 | n_imagined_frames int64 5 30 | n_feedback_turns int64 0 0 | n_feedback_frames int64 0 0 | max_steps int64 30 30 | schema_version stringclasses 1
value | cot_row_type stringclasses 1
value | branch_schema_version stringclasses 1
value | has_branch bool 2
classes | branch_step int64 -1 28 | n_branch_steps int64 0 4 | n_branch_frames int64 0 4 | branch_mode stringclasses 1
value | branch_key_action stringlengths 26 26 ⌀ | branch_correct_index int64 0 3 ⌀ | branch_cand_coverages listlengths 4 4 ⌀ | branch_expert_coverage float64 0.16 1 ⌀ | branch_n_resamples int64 0 4 ⌀ |
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000000000008 | pusht_ppo_1hz_success_30step_norm4_visual_nomarker | pusht/easy | {"max_steps":30,"success_threshold":0.9,"init_distribution":"maniskill_like","control_hz":1,"easy_mo(...TRUNCATED) | 2,026,051,300 | 3,026,139,364 | 312 | {"checkpoint_root":"/home/raychai/VisGym_3d/visgym_training/ppo_pusht/runs/pusht_ppo_cpu256_20m_1hz_(...TRUNCATED) | {"agent_position":[157.0,486.4],"agent_velocity":[0.0,0.0],"block_position":[194.6876225642,270.9841(...TRUNCATED) | 90551de22940b38c87683ac2913a947decb2a795d9250bb62a4d0ae8401fcff3 | {"step":16,"reward":9.3096395551,"terminated":true,"truncated":false,"success":true,"coverage":0.930(...TRUNCATED) | visgym_pusht_ppo_success_30step_parallel_v1 | {"manifest_version":"pusht_stopreq_plain_cot_aligned100k_v1","global_index":8,"output_shard":0,"row_(...TRUNCATED) | [{"role":"user","content":[{"type":"text","text":"You are controlling a 2D PushT environment from a (...TRUNCATED) | inf | 16 | 1 | 16 | 0 | 0 | 30 | pusht_cot_perstep_kinf_v1 | perstep_cot_singleturn_wholeepisode_nofeedback | exp2_branch_v1 | true | 10 | 4 | 4 | comparison | ('move', (0.5847, 0.5414)) | 3 | [
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End of preview. Expand in Data Studio
pusht_96_norm4_cot_chunk_kinf_branchcmp_20260709_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 + NO-LEAK branching comparison (89.7% rows branched: at the max-coverage-jump key step, 4 shuffled candidates — expert + 3 strictly-worse Gaussian alts (σ=48px) — each imagined one step; winner named only in the conclusion)) 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 framere-grounding turn between chunks. nonCoT rows: bare action chunks. Build argv + git rev inmetadata/. - Companion checkpoint:
ultrastar112/pusht_96_norm4_cot_chunk_kinf_branchcmp_20260709_perseg - Full study docs:
0710_train.md/0711_mulnode_eval.md/0711_hf_release.mdin the study repo. - License: CC-BY-NC-4.0 (research use).
- Downloads last month
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