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 50.9k | extra_state dict | init_state dict | init_state_hash stringlengths 64 64 | stats dict | version stringclasses 1
value | alignment_index dict | messages listlengths 10 60 | chunk_size int64 1 1 | n_steps int64 5 30 | n_chunks int64 5 30 | n_imagined_frames int64 5 30 | n_feedback_turns int64 4 29 | n_feedback_frames int64 4 29 | max_steps int64 30 30 | schema_version stringclasses 1
value | cot_row_type stringclasses 1
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000000000006 | 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 | 3,026,138,852 | 310 | {"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":[288.4004942988,303.3206(...TRUNCATED) | 13aac7d4df092cf56fa4f5c591ed1057e1310e4e1e45f88cc78e92a3c1818b45 | {"step":18,"reward":7.276430682,"terminated":true,"truncated":false,"success":true,"coverage":0.9092(...TRUNCATED) | visgym_pusht_ppo_success_30step_parallel_v1 | {"manifest_version":"pusht_stopreq_plain_cot_aligned100k_v1","global_index":6,"output_shard":0,"row_(...TRUNCATED) | [{"role":"user","content":[{"type":"text","text":"You are controlling a 2D PushT environment from a (...TRUNCATED) | 1 | 18 | 18 | 18 | 17 | 17 | 30 | pusht_cot_perstep_envfb_k1_v4 | perstep_cot_multiturn_gtenvfeedback |
000000000007 | 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 | 3,026,139,108 | 311 | {"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":[237.9101936263,389.5546(...TRUNCATED) | b13c75cd0f2c94dd181353d0f778326ee05067d2f7b55e67b7c113a4e178998d | {"step":15,"reward":5.3685007796,"terminated":true,"truncated":false,"success":true,"coverage":0.935(...TRUNCATED) | visgym_pusht_ppo_success_30step_parallel_v1 | {"manifest_version":"pusht_stopreq_plain_cot_aligned100k_v1","global_index":7,"output_shard":0,"row_(...TRUNCATED) | [{"role":"user","content":[{"type":"text","text":"You are controlling a 2D PushT environment from a (...TRUNCATED) | 1 | 15 | 15 | 15 | 14 | 14 | 30 | pusht_cot_perstep_envfb_k1_v4 | perstep_cot_multiturn_gtenvfeedback |
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) | 1 | 16 | 16 | 16 | 15 | 15 | 30 | pusht_cot_perstep_envfb_k1_v4 | perstep_cot_multiturn_gtenvfeedback |
000000000009 | 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 | 3,026,139,620 | 313 | {"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":[289.0751419145,416.1750(...TRUNCATED) | d4be5d0391db8247901cbacc6ec933d782103c038c3e06fa934883c18be29652 | {"step":11,"reward":5.7813989838,"terminated":true,"truncated":false,"success":true,"coverage":0.924(...TRUNCATED) | visgym_pusht_ppo_success_30step_parallel_v1 | {"manifest_version":"pusht_stopreq_plain_cot_aligned100k_v1","global_index":9,"output_shard":0,"row_(...TRUNCATED) | [{"role":"user","content":[{"type":"text","text":"You are controlling a 2D PushT environment from a (...TRUNCATED) | 1 | 11 | 11 | 11 | 10 | 10 | 30 | pusht_cot_perstep_envfb_k1_v4 | perstep_cot_multiturn_gtenvfeedback |
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pusht_96_norm4_cot_chunk_k1_20260622_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 framere-grounding turn between chunks. nonCoT rows: bare action chunks. Build argv + git rev inmetadata/. - Companion checkpoint:
ultrastar112/pusht_96_norm4_cot_chunk_k1_world_model_20260622_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).
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