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episode
int64 | episode_seed
int64 | split
string | timestamp
string | batch_dir
null | init_args
dict | run_args
dict | stats
dict | history
list | extra_state
null | hash
string |
|---|---|---|---|---|---|---|---|---|---|---|
0
| 1,608,637,542
|
train
|
2025-09-15T22:38:34.689308
| null |
{
"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>",
"vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x14db96e4f1f0>",
"max_steps": 10,
"abs_size": 336,
"master_seed": 42,
"max_long_side": 336,
"interactor_type": "GroundtruthInteractor",
"groundtruth_strategy": null,
"groundtruth_kwargs": {
"num_steps": 3
},
"enable_reasoning": true,
"reasoner_class": null
}
|
{
"render": false,
"seed": 1608637542,
"verbose": false,
"save_verbose": false,
"elicit_verbalization": true,
"repeat_instructions": false,
"include_env_feedback": true,
"num_interaction_history": 0,
"widget_log": false,
"autosave_path": null,
"save_history_at_episode_end": false
}
|
{
"step": 4,
"reward": 1,
"terminated": true,
"truncated": false
}
|
[
{
"step": 0,
"prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by dθ° (any real number). Format: `('move', [dx, dy, dθ])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10° of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45°: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.",
"vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [25.046453612179505, 57.706333165016055, 50.69197045596227])</answer>",
"action": "('move', [25.046453612179505, 57.706333165016055, 50.69197045596227])",
"reward": 0,
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"info": {
"env_feedback": "Action executed successfully."
},
"think": "Based on the current state, I need to take the optimal action to solve this task."
},
{
"step": 1,
"prompt": "Environment feedback: Action executed successfully.",
"vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [25.046453612179505, 57.706333165016055, 50.69197045596227])</answer>",
"action": "('move', [25.046453612179505, 57.706333165016055, 50.69197045596227])",
"reward": 0,
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"info": {
"env_feedback": "Action executed successfully."
},
"think": "Based on the current state, I need to take the optimal action to solve this task."
},
{
"step": 2,
"prompt": "Environment feedback: Action executed successfully.",
"vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [25.046453612179505, 57.706333165016055, 50.69197045596227])</answer>",
"action": "('move', [25.046453612179505, 57.706333165016055, 50.69197045596227])",
"reward": 0,
"image": "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",
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"info": {
"env_feedback": "Action executed successfully."
},
"think": "Based on the current state, I need to take the optimal action to solve this task."
},
{
"step": 3,
"prompt": "Environment feedback: Action executed successfully.",
"vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>",
"action": "('stop', 'stop')",
"reward": 1,
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"info": {
"env_feedback": "Action executed successfully."
},
"think": "Based on the current state, I need to take the optimal action to solve this task."
}
] | null |
0786451cf7a31586e78b7e34d20997e8569a7d5299f9d0295387bc888bdab20b
|
1
| 3,421,126,067
|
train
|
2025-09-15T22:38:35.311721
| null |
{
"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>",
"vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x14db96e4f1f0>",
"max_steps": 10,
"abs_size": 336,
"master_seed": 42,
"max_long_side": 336,
"interactor_type": "GroundtruthInteractor",
"groundtruth_strategy": null,
"groundtruth_kwargs": {
"num_steps": 3
},
"enable_reasoning": true,
"reasoner_class": null
}
|
{
"render": false,
"seed": 3421126067,
"verbose": false,
"save_verbose": false,
"elicit_verbalization": true,
"repeat_instructions": false,
"include_env_feedback": true,
"num_interaction_history": 0,
"widget_log": false,
"autosave_path": null,
"save_history_at_episode_end": false
}
|
{
"step": 4,
"reward": 1,
"terminated": true,
"truncated": false
}
|
[
{
"step": 0,
"prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by dθ° (any real number). Format: `('move', [dx, dy, dθ])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10° of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45°: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.",
"vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-0.2573841311398258, -2.2091648102414556, -27.267181235990922])</answer>",
"action": "('move', [-0.2573841311398258, -2.2091648102414556, -27.267181235990922])",
"reward": 0,
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"info": {
"env_feedback": "Action executed successfully."
},
"think": "Based on the current state, I need to take the optimal action to solve this task."
},
{
"step": 1,
"prompt": "Environment feedback: Action executed successfully.",
"vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-0.2573841311398258, -2.2091648102414556, -27.267181235990922])</answer>",
"action": "('move', [-0.2573841311398258, -2.2091648102414556, -27.267181235990922])",
"reward": 0,
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"info": {
"env_feedback": "Action executed successfully."
},
"think": "Based on the current state, I need to take the optimal action to solve this task."
},
{
"step": 2,
"prompt": "Environment feedback: Action executed successfully.",
"vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-0.2573841311398258, -2.2091648102414556, -27.267181235990922])</answer>",
"action": "('move', [-0.2573841311398258, -2.2091648102414556, -27.267181235990922])",
"reward": 0,
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"info": {
"env_feedback": "Action executed successfully."
},
"think": "Based on the current state, I need to take the optimal action to solve this task."
},
{
"step": 3,
"prompt": "Environment feedback: Action executed successfully.",
"vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>",
"action": "('stop', 'stop')",
"reward": 1,
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"info": {
"env_feedback": "Action executed successfully."
},
"think": "Based on the current state, I need to take the optimal action to solve this task."
}
] | null |
8712b7a525cb662f26c98add3b415c4f83d5180e18ea573f8efff27ad160dae5
|
2
| 4,083,286,876
|
train
|
2025-09-15T22:38:35.928529
| null |
{
"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>",
"vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x14db96e4f1f0>",
"max_steps": 10,
"abs_size": 336,
"master_seed": 42,
"max_long_side": 336,
"interactor_type": "GroundtruthInteractor",
"groundtruth_strategy": null,
"groundtruth_kwargs": {
"num_steps": 3
},
"enable_reasoning": true,
"reasoner_class": null
}
|
{
"render": false,
"seed": 4083286876,
"verbose": false,
"save_verbose": false,
"elicit_verbalization": true,
"repeat_instructions": false,
"include_env_feedback": true,
"num_interaction_history": 0,
"widget_log": false,
"autosave_path": null,
"save_history_at_episode_end": false
}
|
{
"step": 4,
"reward": 1,
"terminated": true,
"truncated": false
}
|
[
{
"step": 0,
"prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by dθ° (any real number). Format: `('move', [dx, dy, dθ])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10° of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45°: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.",
"vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [0.264097245082815, -1.4239294459576763, -0.8486911899533519])</answer>",
"action": "('move', [0.264097245082815, -1.4239294459576763, -0.8486911899533519])",
"reward": 0,
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"info": {
"env_feedback": "Action executed successfully."
},
"think": "Based on the current state, I need to take the optimal action to solve this task."
},
{
"step": 1,
"prompt": "Environment feedback: Action executed successfully.",
"vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [0.264097245082815, -1.4239294459576763, -0.8486911899533519])</answer>",
"action": "('move', [0.264097245082815, -1.4239294459576763, -0.8486911899533519])",
"reward": 0,
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"info": {
"env_feedback": "Action executed successfully."
},
"think": "Based on the current state, I need to take the optimal action to solve this task."
},
{
"step": 2,
"prompt": "Environment feedback: Action executed successfully.",
"vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [0.264097245082815, -1.4239294459576763, -0.8486911899533519])</answer>",
"action": "('move', [0.264097245082815, -1.4239294459576763, -0.8486911899533519])",
"reward": 0,
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"info": {
"env_feedback": "Action executed successfully."
},
"think": "Based on the current state, I need to take the optimal action to solve this task."
},
{
"step": 3,
"prompt": "Environment feedback: Action executed successfully.",
"vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>",
"action": "('stop', 'stop')",
"reward": 1,
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"info": {
"env_feedback": "Action executed successfully."
},
"think": "Based on the current state, I need to take the optimal action to solve this task."
}
] | null |
b89288d45cfc23cbbfc11e8d3090db91109c34f6622c555454936a1b36d1fb76
|
3
| 787,846,414
|
train
|
2025-09-15T22:38:36.547310
| null |
{
"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>",
"vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x14db96e4f1f0>",
"max_steps": 10,
"abs_size": 336,
"master_seed": 42,
"max_long_side": 336,
"interactor_type": "GroundtruthInteractor",
"groundtruth_strategy": null,
"groundtruth_kwargs": {
"num_steps": 3
},
"enable_reasoning": true,
"reasoner_class": null
}
|
{
"render": false,
"seed": 787846414,
"verbose": false,
"save_verbose": false,
"elicit_verbalization": true,
"repeat_instructions": false,
"include_env_feedback": true,
"num_interaction_history": 0,
"widget_log": false,
"autosave_path": null,
"save_history_at_episode_end": false
}
|
{
"step": 4,
"reward": 1,
"terminated": true,
"truncated": false
}
|
[
{
"step": 0,
"prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by dθ° (any real number). Format: `('move', [dx, dy, dθ])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10° of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45°: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.",
"vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-1.483621181689122, -1.307648459914611, 27.019141982085426])</answer>",
"action": "('move', [-1.483621181689122, -1.307648459914611, 27.019141982085426])",
"reward": 0,
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"info": {
"env_feedback": "Action executed successfully."
},
"think": "Based on the current state, I need to take the optimal action to solve this task."
},
{
"step": 1,
"prompt": "Environment feedback: Action executed successfully.",
"vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-1.483621181689122, -1.307648459914611, 27.019141982085426])</answer>",
"action": "('move', [-1.483621181689122, -1.307648459914611, 27.019141982085426])",
"reward": 0,
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"info": {
"env_feedback": "Action executed successfully."
},
"think": "Based on the current state, I need to take the optimal action to solve this task."
},
{
"step": 2,
"prompt": "Environment feedback: Action executed successfully.",
"vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-1.483621181689122, -1.307648459914611, 27.019141982085426])</answer>",
"action": "('move', [-1.483621181689122, -1.307648459914611, 27.019141982085426])",
"reward": 0,
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"info": {
"env_feedback": "Action executed successfully."
},
"think": "Based on the current state, I need to take the optimal action to solve this task."
},
{
"step": 3,
"prompt": "Environment feedback: Action executed successfully.",
"vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>",
"action": "('stop', 'stop')",
"reward": 1,
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"info": {
"env_feedback": "Action executed successfully."
},
"think": "Based on the current state, I need to take the optimal action to solve this task."
}
] | null |
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2025-09-15T22:38:38.190207
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}
| [{"step":0,"prompt":"You see a blue stick and a red target stick on a canvas. Your goal is to move a(...TRUNCATED)
| null |
b6390208bf285dd3d9a546a9d72e1c4c29e243383ce5fa782fcb219087d7de7e
|
9
| 1,914,837,113
|
train
|
2025-09-15T22:38:41.017178
| null | {"env_repr":"<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>","vlm_repr":"<(...TRUNCATED)
| {"render":false,"seed":1914837113,"verbose":false,"save_verbose":false,"elicit_verbalization":true,"(...TRUNCATED)
|
{
"step": 4,
"reward": 1,
"terminated": true,
"truncated": false
}
| [{"step":0,"prompt":"You see a blue stick and a red target stick on a canvas. Your goal is to move a(...TRUNCATED)
| null |
103a57b42897eb78987481bc71beb7836421e32619746689d7efab5a56de4516
|
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