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value | timestamp
stringdate 2025-09-16 02:27:49
2025-09-16 02:30:17
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null | init_args
dict | run_args
dict | stats
dict | history
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train
|
2025-09-16T02:27:49.621350
| null |
{
"env_repr": "<OrderEnforcing<MatchEquationEnv<match_equation/MatchEquation-v0>>>",
"vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x1461e2780730>",
"max_steps": 500,
"abs_size": 336,
"master_seed": 42,
"max_long_side": 336,
"interactor_type": "GroundtruthInteractor",
"groundtruth_strategy": "sos",
"groundtruth_kwargs": {
"sos_seed": 12,
"sos_max_len": 80
},
"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": 2,
"reward": 1,
"terminated": true,
"truncated": false
}
|
[
{
"step": 0,
"prompt": "You see an image of a broken matchstick equation.\nYour goal is to fix the equation by moving ONE match per action.\n\nSymbols (left→right) with indices:\n[0:'2', 1:'+', 2:'1', 3:'3', 4:'*', 5:'1', 6:'0', 7:'=', 8:'7', 9:'9', 10:'2']\n\nAvailable actions:\n1. 'move': Remove one match from segment 'src_seg' of symbol at 'src_idx', then add it to segment 'dst_seg' of symbol at 'dst_idx'. Format: `('move', [src_idx, src_seg, dst_idx, dst_seg])` where:\n • src_idx, dst_idx ∈ [0, N−1], with src_idx ≠ dst_idx\n • src_seg, dst_seg ∈ matchstick_puzzles.TOTAL (e.g., {0..12})\n • The move must result in valid symbols at BOTH positions.\n2. 'undo': Revert the last move (if any). Format: `('undo', 'undo')`\n3. 'stop': Submit your current equation as final. Format: `('stop', 'stop')`\n\nSuccess: The submitted equation must be mathematically correct (evaluated as lhs == rhs).\n\nSegment legend (indices depend on symbol):\n 0..6 : 7-seg digits (a,b,c,d,e,f,g)\n 7 : plus vertical stroke (used by '+')\n 8,9 : multiply diagonals (used by '*'); single {8} or {9} maps to '/'\n 10 : diagonal for divide (if enabled in mapping)\n 11,12: equals upper/lower bars (used by '=')\nA segment is valid for a symbol only if the resulting set of segments maps to a known glyph.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To move a match: `('move', [0, 6, 2, 0])`\n- To undo: `('undo', 'undo')`\n- To stop: `('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', [8, 0, 3, 5])</answer>",
"action": "('move', [8, 0, 3, 5])",
"reward": 0,
"image": 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",
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",
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",
"info": {
"equation": "2+19*10=192",
"is_correct": true,
"max_steps": 1000,
"history_depth": 2,
"current_moves": 1,
"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>('stop', 'stop')</answer>",
"action": "('stop', 'stop')",
"reward": 1,
"image": 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",
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",
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",
"info": {
"equation": "2+19*10=192",
"is_correct": true,
"max_steps": 1000,
"history_depth": 2,
"current_moves": 1,
"env_feedback": "Action executed successfully."
},
"think": "Based on the current state, I need to take the optimal action to solve this task."
}
] | null |
7e1290ef7010b1e03ee096824db91275e1954c24ac7ed966e410c7da011dd21e
|
1
| 3,421,126,067
|
train
|
2025-09-16T02:27:49.638488
| null |
{
"env_repr": "<OrderEnforcing<MatchEquationEnv<match_equation/MatchEquation-v0>>>",
"vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x1461e2780730>",
"max_steps": 500,
"abs_size": 336,
"master_seed": 42,
"max_long_side": 336,
"interactor_type": "GroundtruthInteractor",
"groundtruth_strategy": "sos",
"groundtruth_kwargs": {
"sos_seed": 12,
"sos_max_len": 80
},
"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": 2,
"reward": 1,
"terminated": true,
"truncated": false
}
|
[
{
"step": 0,
"prompt": "You see an image of a broken matchstick equation.\nYour goal is to fix the equation by moving ONE match per action.\n\nSymbols (left→right) with indices:\n[0:'2', 1:'5', 2:'5', 3:'/', 4:'7', 5:'1', 6:'=', 7:'1', 8:'5']\n\nAvailable actions:\n1. 'move': Remove one match from segment 'src_seg' of symbol at 'src_idx', then add it to segment 'dst_seg' of symbol at 'dst_idx'. Format: `('move', [src_idx, src_seg, dst_idx, dst_seg])` where:\n • src_idx, dst_idx ∈ [0, N−1], with src_idx ≠ dst_idx\n • src_seg, dst_seg ∈ matchstick_puzzles.TOTAL (e.g., {0..12})\n • The move must result in valid symbols at BOTH positions.\n2. 'undo': Revert the last move (if any). Format: `('undo', 'undo')`\n3. 'stop': Submit your current equation as final. Format: `('stop', 'stop')`\n\nSuccess: The submitted equation must be mathematically correct (evaluated as lhs == rhs).\n\nSegment legend (indices depend on symbol):\n 0..6 : 7-seg digits (a,b,c,d,e,f,g)\n 7 : plus vertical stroke (used by '+')\n 8,9 : multiply diagonals (used by '*'); single {8} or {9} maps to '/'\n 10 : diagonal for divide (if enabled in mapping)\n 11,12: equals upper/lower bars (used by '=')\nA segment is valid for a symbol only if the resulting set of segments maps to a known glyph.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To move a match: `('move', [0, 6, 2, 0])`\n- To undo: `('undo', 'undo')`\n- To stop: `('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', [4, 0, 5, 0])</answer>",
"action": "('move', [4, 0, 5, 0])",
"reward": 0,
"image": 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",
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",
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j+Am9LilJkmRZRgiio23J8Wn+Fh189xPKMjg5U1E2YneJbe3+JqFPfkK3AAC4z21dWdz+9F+IKAWehBLX6e44hhBF09RnX5TPuePxAAOOTbD8hGMjtLYKHR3eC07zE4KPfkIX51lnvbPIcehI7A/HiTmOn3CYS4oQYBnGZFRkxPLdT4gJPcFKW80K2jb98BMSwsTZKFNwRrTJfA8hEkWxbpdzQlx60bw7ghL2mgTLTzi2yIgq0/yEvvsJEUMzCZGoffxK8cFPOHQxRRsofYSPJR6yp+9+QoYSLrWJHd0Kxrv44SekKP5UPe51+CsxEiy5na1lABRNU/934AhtiA485jiQ4PgJxxGRZc1POO5e1/ITEkHiT9T54ry9hp/QMuAnHOSSoigEGFOMiTXFKyj9SD+haaSfkGUQQsio546d18Wk6iel+qvik5+QZQABZdQ5v6wMW7AI6QJ9gMhCr8x1IkQRjPs43YrvrQsw4LgEy084Nob0dFNWluYnHLbX2H5ClmVomgaKIpLsLq+ZsPLOcWNe9ROemjFD7O31+AlP5MY3LJ1KDXL6SaK06NbCGQUFpoQltMGmoPQAYP/ww+qVK6mB0pcsualn6sQhfkI3t+a+Zdbzrc0b/5T5zp7wWxYoUGncsKFx+3ZPSy/P0l/fXSAN9hPKspmhv//QCscb+3p2V0w7epyNCfDBRfoav+K6zjKMrqb2wqGTXWs3vhZYQJ8Ilp9wbLo//bR62XLQ/IQDYI47WVDgPnPGkymNiRHH7yoY4ifkuKnZkxfPn3XpoV+ac+ZM+e+3fCjcANUbnzkAUA6wz2L4Yvfrg01lnj9R5AmWlZqw+qlZufJrgK8Bates4XluiITb9XXB9BKAwwDvZkTXt1xUJiE5HMcnT/YY5FpeeokbqtLVWP+F2VgOcAjgL8tnu/zxfY0u5+roqPptx4lXus++9qsNy6pPKXTcKSBYfsKx0fyEw+jet89zIIf1esfZM8P8hLWvv/olQDnA32j0P68870vAq62CF7LjJiyfGa7X6wpSesMtBoMqHrykX/yCstkQQOLGjcOsawSg4ZbsGclGhmFs86ZgTqEHjzabU195peO99xiTKe6RR9BQFafVdOW7BUkcoW3mltlZ2MWBWcnvaHgR3R1ACKJRd3d3WGRyRk5BINH8Ilh+wrHR/ITDCF+8OHnzZndDQ3hRkTkre9jattRo6vbpEUaznJvgTPDpnfFqEtImfezz99kio1obGnt6A/V6XAtDWtrka1jXCCbGnJS4xxYzDNtYciwQr1P4kiXhS5aMrsKJYctnxxfnEYzh82MB/toaFnpdrWWAKIamP/u8NC4jyF9lYxMsP+HYaH7CkST+5CfXWoUQRP/4rvjk5B57JznnU6UM6h/zmNP0KpvTxoRIMna4MSONPsQ+KCAgvIgdbhIMqyEWnVh0AsXIkqgzx92xUulQKGVofkK/CJ6fcGywk8cON+FFQD71P/99eUaCjrPtMAHEMvThI1VOnmGC3VP37eBafkLMCyMerZqfUMNnsOx2tZaLjkZE0QhBzcX2lf/0VKgLdYOi+QnHRktChWDB4WwtB0RTFNXc3IrYiPiJk0JdqBsUj59wcH+jZVaGYWL0sJ/rBAC1/YQ3JldvOddnOJLj8OELDz+MACbv3GkuUKshsf211y6/8gpjsWTt3UuH+z2hhS9w9tOAaACgKNTT68j7h2VqqHw7uEH8hEGkdvVqV22tbeHC5F/9KvBoV5OQa22FSBYAgJBRra5YdBHM03qFPfUAQESx/vHHnVVVAHBp3bqcA1/DoKkQKAqN9qPsfiO0tDRs2CB2dWGAxk2bUn/968FrdXojDkarj3eaAVEUsnJm2TLuDDym32WQcVCal8ZTCcIX2o3gJ8SEBKXq23fu7Ni1CwG4q6psK1ZYi4sHr6VoFvP+qfQfs/Or/czHHxrm/AsAUKzOfuDg33hZlLHXT5g5JSXScEVwtlsmLtRHpCsrfduOHT2HD3tuh46SkjMvPNtclOv1E2JMwixM4L9L3/D000JXl2fETOeOHb0FN7VGhXn9hALniooMD/zaZc1xQm+95986S1yA0ZQRHxelB7tKc9p4SZoYFxSJ0PoJASDMYoqMjAgwD8XW1sZnn/X6EuvXru3esv6qnxBjd3djXnqYXxcYAwDY4bjw6KMZ85ONJiNxC2DQt736uji3hFk03esn7NWnhE1MIFh2Xi5VloRcbW3T5s2DfTGNz20ZMj8hkMJZ0z3VjTFRliddH3985d136QEJLAh1jz0y2E+oN+jTC2dIMmZoKpD60IVNcl4uA6AJlthwJd6uwMnMmNTb1EgIIQSCco8flam5Gc7OGhgYXKU4jrmwML2wMHjl8puoqAlscrwsYwTKT1fD+vXC5cte523fsWNNWzcM8RNOjLfZ0j2vDz6qMAAgu1yivdX0nbtlTgSMIyKsM6dmR8clRQ73E2JANBYdfG+dPszvRgjf5yckkpyVkRIVp2RIp8/zE4Isy7MKcgwGhbdkWhcRlnJ7X8M+a9IiVp3O5bEhWHReOQNAYUzCwswzUrPUUJG5TndPA6JoWcbJyQkRKQqnT74RcF85KYkSomhMcFHhNGU/W+Xb/IQSAOj1ulkzfaoUz+sooiwmOjYCMAEAlmUsNisvyaO6pAgWsORSUHrf/YSEEKNBp2OVfB747ickhFgsBkrpL4ghitFHTNGFpSEqRP46QmTB6WnYoGnKbFLlBY/IApE4oBhCiEHPGPTf4I7QwdNRWq0KR2X67iekEDKZfRpL2H8JyvYe4WwjYihASO5zc+carzWnH8WYGEXzvPs1PyGlCwdFYyb8mp+Q0kcFOD9hyDIQABDFmKIBMAAgiqX0SiplXCjWTOnCgGAAglgLUjRf3Q0CY47zjhZV7Pn0Z35CmjZE+RKTAgAmPMySX+Tcf4Iy6RBNyd0OqaYl7Ja8EPgJvxXzE14fEMXoLEkES0AwUDqdNVkNFUoXxhgjCZYIlhldRCBt4yFHFzbJ8yQkWNKFKfyMV3N+wvPnT82ZbXvsdsviGW0/ePGoiRqYn/D6+gmDND/hWH5C9ecnvG5gye1qO8J314RP+kfGGKPSLx3LQm9f4xeAJWvKUlqnSqfr9YEQWeit72v4X3N8scGWhWglQwLG9xP6Pz8h8rZ3tfxse90zGxCAOW1ydmUF1uuHtUszLM3QjE+THl6b2lWr2nbvBoC4NWuS3/wTHvE6qtMxFM0E8pYoO52n8vIcFy4AQNpLL0149JFhL70IgU7lLqnrCSEyQiq/FRMMAAFW/Q1C4Ker5/PPzyxZQgBYvf6m48foSZNgaP82TVMsy4DPKlcvxLgn1glNjZLbHXPffbrwiEBKOQZj+AmDxdh+wm8fqmcgfEvSz0Pgp2tsP6GSIl2HIRcaGhpj8O25w2lofEPRklBDI8RoSaihEWK0JNTQCDFaEmpohBgtCTU0QoyWhBoaIUZLQg2NEKMloYZGiNGSUEMjxGhJqKERYrQk1NAIMVoSamiEGC0JNTRCjJaEGhohRktCDY0QoyWhhkaI0ZJQQyPEaEmooRFitCTU0AgxWhJqaIQYLQk1NEKMloQaGiFGS0INjRCjJaGGRojRklBDI8RoSaihEWJ8TcLu7u5t27ZVVVWpWhoA2Llz56VLl1SVqKmp2bp1a0dHh6oqb7/99ssvvyyMmLQ06HzwwQc9PT3qxa+oqNiwYcPevXvVkwCAs2fPbtmypbOzUz2Jzs7O7du3b9iwQdXLuKenZ/v27e+8847vu/iahKWlpdHR0YcOHZJlWVHZfOLEiRO7d+++cuWKehIAcPTo0bi4uIMHD6on0dTUxHGcyWQ6efKkeioA0NXVtWPHDlVTvbm5+ZZbbsnPz1dPQpKkI0eOpKSkqFopFotl+fLl0dHR/IjZdoPIgQMHMjIyOjs76+vrfdzF1ySsr69fuXIlz/Mcxykt3vjk5OTcf//9GI82h3aQwBhPnTq1sLDQ4XCopxITE3PXXXd1d3czjLqzIFZUVEyaNEnVqbUkSbJarRMmqDIdtwe3293R0ZGXl5eSkqKeil6vz8nJsVgsubm56qkYjUa3293X14d8nrPV1yQUBMFkMhFCVM0QmqaNRqN68QGAoqjc3NyzZ89mZmaqp6LT6bq7u8+fP5+YmKieCsdxdrs9Pz/f9/pWQFtb29tvv71nzx71JAghp0+ffuedd1R9RgHA5cuXDQaDyWRSTyIxMXHPnj3Nzc3R0dE+7uJrEjIMw/M8QkjV+gaA6zBfot1ub2hoyMvLU0+ipaXFarWuWrXq/Pnz6qnU1tbu3bv3k08+UfWld968edu2baurq1OvamRZnjp16rp16yoqKlSS8FBXV5eQkKCqRFVV1ebNm+fPn9/U1OTjLr4mYUxMzKFDhxiGMRjUneQdY6x2Hn722We5ubmqvii2t7fv37+/q6tLVZW0tLRnnnkmNzc3Pj5ePZXq6uqmpiaj0aje/Ven00VGRra0tFgsFpUkPFRXV6v6BgQARqOxvb3dbrdTlK/J5et2xcXFu3btys7OVvsjJyIiwmw2qxcfY1xVVfXmm2+WlJSop5Kbm1tZWVlTUzN9+nT1VMxmc3Z29qxZs3x/81FAUlLS1q1bZ8+erZ6E2WyOiorasWPHrbfeqp6KJEl6vV7VDwQAuPnmmz/44AO3252WlubjLtp02RoaIUbrrNfQCDFaEmpohJj/B0dTYYuHogx2AAAAAElFTkSuQmCC",
"info": {
"equation": "255/17=15",
"is_correct": true,
"max_steps": 1000,
"history_depth": 2,
"current_moves": 1,
"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>('stop', 'stop')</answer>",
"action": "('stop', 'stop')",
"reward": 1,
"image": 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",
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",
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"info": {
"equation": "255/17=15",
"is_correct": true,
"max_steps": 1000,
"history_depth": 2,
"current_moves": 1,
"env_feedback": "Action executed successfully."
},
"think": "Based on the current state, I need to take the optimal action to solve this task."
}
] | null |
92c204505d381e25839b4d9ebe6797f86756557cc66e654bcaefff0f81209e9a
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2
| 4,083,286,876
|
train
|
2025-09-16T02:27:49.655674
| null | {"env_repr":"<OrderEnforcing<MatchEquationEnv<match_equation/MatchEquation-v0>>>","vlm_repr":"<gymna(...TRUNCATED)
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|
{
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"reward": 1,
"terminated": true,
"truncated": false
}
| [{"step":0,"prompt":"You see an image of a broken matchstick equation.\nYour goal is to fix the equa(...TRUNCATED)
| null |
5a39b7e70f9e4c7f73de04189d4914da752ebcbe552fcab0f053fa63f363a7c0
|
3
| 787,846,414
|
train
|
2025-09-16T02:27:49.670325
| null | {"env_repr":"<OrderEnforcing<MatchEquationEnv<match_equation/MatchEquation-v0>>>","vlm_repr":"<gymna(...TRUNCATED)
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{
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"reward": 1,
"terminated": true,
"truncated": false
}
| [{"step":0,"prompt":"You see an image of a broken matchstick equation.\nYour goal is to fix the equa(...TRUNCATED)
| null |
f04ebe3b99425b3fdcb2957cc5101c1fac3aa5377dd22236d9e20ea2f07112ef
|
4
| 3,143,890,026
|
train
|
2025-09-16T02:27:49.685486
| null | {"env_repr":"<OrderEnforcing<MatchEquationEnv<match_equation/MatchEquation-v0>>>","vlm_repr":"<gymna(...TRUNCATED)
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|
{
"step": 2,
"reward": 1,
"terminated": true,
"truncated": false
}
| [{"step":0,"prompt":"You see an image of a broken matchstick equation.\nYour goal is to fix the equa(...TRUNCATED)
| null |
b53c289f1010d520f7bc4fde3c48bfcf92153fc56919be2a022dd8a1deb56735
|
5
| 3,348,747,335
|
train
|
2025-09-16T02:27:49.701463
| null | {"env_repr":"<OrderEnforcing<MatchEquationEnv<match_equation/MatchEquation-v0>>>","vlm_repr":"<gymna(...TRUNCATED)
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|
{
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"reward": 1,
"terminated": true,
"truncated": false
}
| [{"step":0,"prompt":"You see an image of a broken matchstick equation.\nYour goal is to fix the equa(...TRUNCATED)
| null |
2d9b2a2c9e7b74c2ef701b5715ffd56e42e70f6f035c7f5d047d5c999f1d7247
|
6
| 2,571,218,620
|
train
|
2025-09-16T02:27:49.716586
| null | {"env_repr":"<OrderEnforcing<MatchEquationEnv<match_equation/MatchEquation-v0>>>","vlm_repr":"<gymna(...TRUNCATED)
| {"render":false,"seed":2571218620,"verbose":false,"save_verbose":false,"elicit_verbalization":true,"(...TRUNCATED)
|
{
"step": 2,
"reward": 1,
"terminated": true,
"truncated": false
}
| [{"step":0,"prompt":"You see an image of a broken matchstick equation.\nYour goal is to fix the equa(...TRUNCATED)
| null |
7d09f0e41a78acb66303d46b076c381538961ba62a2e05b93960918493a3729c
|
7
| 2,563,451,924
|
train
|
2025-09-16T02:27:49.735656
| null | {"env_repr":"<OrderEnforcing<MatchEquationEnv<match_equation/MatchEquation-v0>>>","vlm_repr":"<gymna(...TRUNCATED)
| {"render":false,"seed":2563451924,"verbose":false,"save_verbose":false,"elicit_verbalization":true,"(...TRUNCATED)
|
{
"step": 2,
"reward": 1,
"terminated": true,
"truncated": false
}
| [{"step":0,"prompt":"You see an image of a broken matchstick equation.\nYour goal is to fix the equa(...TRUNCATED)
| null |
46f36fba5784965fe38bdea5388c02c3f9eea88f6087be38438f2e7f21057feb
|
8
| 670,094,950
|
train
|
2025-09-16T02:27:49.753719
| null | {"env_repr":"<OrderEnforcing<MatchEquationEnv<match_equation/MatchEquation-v0>>>","vlm_repr":"<gymna(...TRUNCATED)
| {"render":false,"seed":670094950,"verbose":false,"save_verbose":false,"elicit_verbalization":true,"r(...TRUNCATED)
|
{
"step": 2,
"reward": 1,
"terminated": true,
"truncated": false
}
| [{"step":0,"prompt":"You see an image of a broken matchstick equation.\nYour goal is to fix the equa(...TRUNCATED)
| null |
006154d8f30a5f39a56a1ee79246818752fcace1cc86c0532e2dfc5b6b221ff5
|
9
| 1,914,837,113
|
train
|
2025-09-16T02:27:49.767258
| null | {"env_repr":"<OrderEnforcing<MatchEquationEnv<match_equation/MatchEquation-v0>>>","vlm_repr":"<gymna(...TRUNCATED)
| {"render":false,"seed":1914837113,"verbose":false,"save_verbose":false,"elicit_verbalization":true,"(...TRUNCATED)
|
{
"step": 2,
"reward": 1,
"terminated": true,
"truncated": false
}
| [{"step":0,"prompt":"You see an image of a broken matchstick equation.\nYour goal is to fix the equa(...TRUNCATED)
| null |
82967f788cea9d54e6937a839bf0ad508c2c6d96c8df6589fd59b2616f57ee14
|
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