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CoTEgo / problems /optimal_approach.json
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{
"dataset_name": "CoTEgo-OptimalApproach",
"version": "v1",
"question_header": {
"setup_image": "./frames/setup.jpg",
"problem_setup": "The scene shows a tabletop Tower-of-Hanoi style setup recorded from an egocentric viewpoint. Three poles are placed left-to-right and remain fixed across the dataset. The poles are denoted as L, C, and R for left, center, and right from the viewer’s perspective. Up to six rings are used. Each ring has a unique color identifier and a unique size rank. The environment is controlled. The background is covered by a gray enclosure and hands wear sky-blue gloves to reduce appearance variation. The camera viewpoint is not mirrored or flipped. The pole order will not change. Each move relocates exactly one ring. Moving two or more rings at once is not allowed.",
"state_notation": "We represent a configuration as L=..._C=..._R=.... For each pole, ring identifiers appear in bottom-to-top order. E denotes an empty pole.",
"ring_identifiers_and_size_order": "G, L, S, R, O, Y correspond to Green, Lime, Sky, Red, Orange, and Yellow. The size order is G > L > S > R > O > Y where G is the largest ring and Y is the smallest ring.",
"example_6_rings": {
"state": "L=GLSROY_C=E_R=E",
"explanation": "This means all six rings are stacked on the left pole. G is at the bottom and Y is at the top. The center and right poles are empty."
},
"pq_options": [
{
"id": 1,
"text": "G"
},
{
"id": 2,
"text": "L"
},
{
"id": 3,
"text": "S"
},
{
"id": 4,
"text": "R"
},
{
"id": 5,
"text": "O"
},
{
"id": 6,
"text": "Y"
},
{
"id": 7,
"text": "Empty"
}
]
},
"instructions": {
"rule_setting": "Rule-based setting: A larger ring cannot be placed on a smaller ring.",
"free_setting": "Free-rule setting: A larger ring may be placed on a smaller ring.",
"pq_output_format": "Return PQ answers as JSON: {\"pq\": [[...],[...],[...],[...],[...],[...]]}. Each PQ is a sorted list of option numbers. Use [7] only if the pole is empty.",
"oq_output_format": "Return next state only in the form L=<...>_C=<...>_R=<...> with no extra text."
},
"paths": {
"states_dir": "./frames/states"
},
"problems": [
{
"problem_id": "opt_rule_img__n1_CtoL__L=E_C=Y_R=E__TO__L=Y_C=E_R=E",
"pair_id": "n1_CtoL",
"n_rings": 1,
"src": "C",
"tgt": "L",
"setting": "rule",
"symbolic": false,
"initial_state": "L=E_C=Y_R=E",
"goal_state": "L=Y_C=E_R=E",
"optimal_steps": 1,
"max_steps": 100,
"initial_image": "L=E_C=Y_R=E.jpg",
"goal_image": "L=Y_C=E_R=E.jpg",
"pq_gt": [
[
7
],
[
6
],
[
7
],
[
6
],
[
7
],
[
7
]
]
},
{
"problem_id": "opt_rule_img__n1_CtoR__L=E_C=Y_R=E__TO__L=E_C=E_R=Y",
"pair_id": "n1_CtoR",
"n_rings": 1,
"src": "C",
"tgt": "R",
"setting": "rule",
"symbolic": false,
"initial_state": "L=E_C=Y_R=E",
"goal_state": "L=E_C=E_R=Y",
"optimal_steps": 1,
"max_steps": 100,
"initial_image": "L=E_C=Y_R=E.jpg",
"goal_image": "L=E_C=E_R=Y.jpg",
"pq_gt": [
[
7
],
[
6
],
[
7
],
[
7
],
[
7
],
[
6
]
]
},
{
"problem_id": "opt_rule_img__n1_LtoC__L=Y_C=E_R=E__TO__L=E_C=Y_R=E",
"pair_id": "n1_LtoC",
"n_rings": 1,
"src": "L",
"tgt": "C",
"setting": "rule",
"symbolic": false,
"initial_state": "L=Y_C=E_R=E",
"goal_state": "L=E_C=Y_R=E",
"optimal_steps": 1,
"max_steps": 100,
"initial_image": "L=Y_C=E_R=E.jpg",
"goal_image": "L=E_C=Y_R=E.jpg",
"pq_gt": [
[
6
],
[
7
],
[
7
],
[
7
],
[
6
],
[
7
]
]
},
{
"problem_id": "opt_rule_img__n1_LtoR__L=Y_C=E_R=E__TO__L=E_C=E_R=Y",
"pair_id": "n1_LtoR",
"n_rings": 1,
"src": "L",
"tgt": "R",
"setting": "rule",
"symbolic": false,
"initial_state": "L=Y_C=E_R=E",
"goal_state": "L=E_C=E_R=Y",
"optimal_steps": 1,
"max_steps": 100,
"initial_image": "L=Y_C=E_R=E.jpg",
"goal_image": "L=E_C=E_R=Y.jpg",
"pq_gt": [
[
6
],
[
7
],
[
7
],
[
7
],
[
7
],
[
6
]
]
},
{
"problem_id": "opt_rule_img__n1_RtoC__L=E_C=E_R=Y__TO__L=E_C=Y_R=E",
"pair_id": "n1_RtoC",
"n_rings": 1,
"src": "R",
"tgt": "C",
"setting": "rule",
"symbolic": false,
"initial_state": "L=E_C=E_R=Y",
"goal_state": "L=E_C=Y_R=E",
"optimal_steps": 1,
"max_steps": 100,
"initial_image": "L=E_C=E_R=Y.jpg",
"goal_image": "L=E_C=Y_R=E.jpg",
"pq_gt": [
[
7
],
[
7
],
[
6
],
[
7
],
[
6
],
[
7
]
]
},
{
"problem_id": "opt_rule_img__n1_RtoL__L=E_C=E_R=Y__TO__L=Y_C=E_R=E",
"pair_id": "n1_RtoL",
"n_rings": 1,
"src": "R",
"tgt": "L",
"setting": "rule",
"symbolic": false,
"initial_state": "L=E_C=E_R=Y",
"goal_state": "L=Y_C=E_R=E",
"optimal_steps": 1,
"max_steps": 100,
"initial_image": "L=E_C=E_R=Y.jpg",
"goal_image": "L=Y_C=E_R=E.jpg",
"pq_gt": [
[
7
],
[
7
],
[
6
],
[
6
],
[
7
],
[
7
]
]
},
{
"problem_id": "opt_rule_img__n2_CtoL__L=E_C=OY_R=E__TO__L=OY_C=E_R=E",
"pair_id": "n2_CtoL",
"n_rings": 2,
"src": "C",
"tgt": "L",
"setting": "rule",
"symbolic": false,
"initial_state": "L=E_C=OY_R=E",
"goal_state": "L=OY_C=E_R=E",
"optimal_steps": 3,
"max_steps": 100,
"initial_image": "L=E_C=OY_R=E.jpg",
"goal_image": "L=OY_C=E_R=E.jpg",
"pq_gt": [
[
7
],
[
5,
6
],
[
7
],
[
5,
6
],
[
7
],
[
7
]
]
},
{
"problem_id": "opt_rule_img__n2_CtoR__L=E_C=OY_R=E__TO__L=E_C=E_R=OY",
"pair_id": "n2_CtoR",
"n_rings": 2,
"src": "C",
"tgt": "R",
"setting": "rule",
"symbolic": false,
"initial_state": "L=E_C=OY_R=E",
"goal_state": "L=E_C=E_R=OY",
"optimal_steps": 3,
"max_steps": 100,
"initial_image": "L=E_C=OY_R=E.jpg",
"goal_image": "L=E_C=E_R=OY.jpg",
"pq_gt": [
[
7
],
[
5,
6
],
[
7
],
[
7
],
[
7
],
[
5,
6
]
]
},
{
"problem_id": "opt_rule_img__n2_LtoC__L=OY_C=E_R=E__TO__L=E_C=OY_R=E",
"pair_id": "n2_LtoC",
"n_rings": 2,
"src": "L",
"tgt": "C",
"setting": "rule",
"symbolic": false,
"initial_state": "L=OY_C=E_R=E",
"goal_state": "L=E_C=OY_R=E",
"optimal_steps": 3,
"max_steps": 100,
"initial_image": "L=OY_C=E_R=E.jpg",
"goal_image": "L=E_C=OY_R=E.jpg",
"pq_gt": [
[
5,
6
],
[
7
],
[
7
],
[
7
],
[
5,
6
],
[
7
]
]
},
{
"problem_id": "opt_rule_img__n2_LtoR__L=OY_C=E_R=E__TO__L=E_C=E_R=OY",
"pair_id": "n2_LtoR",
"n_rings": 2,
"src": "L",
"tgt": "R",
"setting": "rule",
"symbolic": false,
"initial_state": "L=OY_C=E_R=E",
"goal_state": "L=E_C=E_R=OY",
"optimal_steps": 3,
"max_steps": 100,
"initial_image": "L=OY_C=E_R=E.jpg",
"goal_image": "L=E_C=E_R=OY.jpg",
"pq_gt": [
[
5,
6
],
[
7
],
[
7
],
[
7
],
[
7
],
[
5,
6
]
]
},
{
"problem_id": "opt_rule_img__n2_RtoC__L=E_C=E_R=OY__TO__L=E_C=OY_R=E",
"pair_id": "n2_RtoC",
"n_rings": 2,
"src": "R",
"tgt": "C",
"setting": "rule",
"symbolic": false,
"initial_state": "L=E_C=E_R=OY",
"goal_state": "L=E_C=OY_R=E",
"optimal_steps": 3,
"max_steps": 100,
"initial_image": "L=E_C=E_R=OY.jpg",
"goal_image": "L=E_C=OY_R=E.jpg",
"pq_gt": [
[
7
],
[
7
],
[
5,
6
],
[
7
],
[
5,
6
],
[
7
]
]
},
{
"problem_id": "opt_rule_img__n2_RtoL__L=E_C=E_R=OY__TO__L=OY_C=E_R=E",
"pair_id": "n2_RtoL",
"n_rings": 2,
"src": "R",
"tgt": "L",
"setting": "rule",
"symbolic": false,
"initial_state": "L=E_C=E_R=OY",
"goal_state": "L=OY_C=E_R=E",
"optimal_steps": 3,
"max_steps": 100,
"initial_image": "L=E_C=E_R=OY.jpg",
"goal_image": "L=OY_C=E_R=E.jpg",
"pq_gt": [
[
7
],
[
7
],
[
5,
6
],
[
5,
6
],
[
7
],
[
7
]
]
},
{
"problem_id": "opt_rule_img__n3_CtoL__L=E_C=ROY_R=E__TO__L=ROY_C=E_R=E",
"pair_id": "n3_CtoL",
"n_rings": 3,
"src": "C",
"tgt": "L",
"setting": "rule",
"symbolic": false,
"initial_state": "L=E_C=ROY_R=E",
"goal_state": "L=ROY_C=E_R=E",
"optimal_steps": 7,
"max_steps": 100,
"initial_image": "L=E_C=ROY_R=E.jpg",
"goal_image": "L=ROY_C=E_R=E.jpg",
"pq_gt": [
[
7
],
[
4,
5,
6
],
[
7
],
[
4,
5,
6
],
[
7
],
[
7
]
]
},
{
"problem_id": "opt_rule_img__n3_CtoR__L=E_C=ROY_R=E__TO__L=E_C=E_R=ROY",
"pair_id": "n3_CtoR",
"n_rings": 3,
"src": "C",
"tgt": "R",
"setting": "rule",
"symbolic": false,
"initial_state": "L=E_C=ROY_R=E",
"goal_state": "L=E_C=E_R=ROY",
"optimal_steps": 7,
"max_steps": 100,
"initial_image": "L=E_C=ROY_R=E.jpg",
"goal_image": "L=E_C=E_R=ROY.jpg",
"pq_gt": [
[
7
],
[
4,
5,
6
],
[
7
],
[
7
],
[
7
],
[
4,
5,
6
]
]
},
{
"problem_id": "opt_rule_img__n3_LtoC__L=ROY_C=E_R=E__TO__L=E_C=ROY_R=E",
"pair_id": "n3_LtoC",
"n_rings": 3,
"src": "L",
"tgt": "C",
"setting": "rule",
"symbolic": false,
"initial_state": "L=ROY_C=E_R=E",
"goal_state": "L=E_C=ROY_R=E",
"optimal_steps": 7,
"max_steps": 100,
"initial_image": "L=ROY_C=E_R=E.jpg",
"goal_image": "L=E_C=ROY_R=E.jpg",
"pq_gt": [
[
4,
5,
6
],
[
7
],
[
7
],
[
7
],
[
4,
5,
6
],
[
7
]
]
},
{
"problem_id": "opt_rule_img__n3_LtoR__L=ROY_C=E_R=E__TO__L=E_C=E_R=ROY",
"pair_id": "n3_LtoR",
"n_rings": 3,
"src": "L",
"tgt": "R",
"setting": "rule",
"symbolic": false,
"initial_state": "L=ROY_C=E_R=E",
"goal_state": "L=E_C=E_R=ROY",
"optimal_steps": 7,
"max_steps": 100,
"initial_image": "L=ROY_C=E_R=E.jpg",
"goal_image": "L=E_C=E_R=ROY.jpg",
"pq_gt": [
[
4,
5,
6
],
[
7
],
[
7
],
[
7
],
[
7
],
[
4,
5,
6
]
]
},
{
"problem_id": "opt_rule_img__n3_RtoC__L=E_C=E_R=ROY__TO__L=E_C=ROY_R=E",
"pair_id": "n3_RtoC",
"n_rings": 3,
"src": "R",
"tgt": "C",
"setting": "rule",
"symbolic": false,
"initial_state": "L=E_C=E_R=ROY",
"goal_state": "L=E_C=ROY_R=E",
"optimal_steps": 7,
"max_steps": 100,
"initial_image": "L=E_C=E_R=ROY.jpg",
"goal_image": "L=E_C=ROY_R=E.jpg",
"pq_gt": [
[
7
],
[
7
],
[
4,
5,
6
],
[
7
],
[
4,
5,
6
],
[
7
]
]
},
{
"problem_id": "opt_rule_img__n3_RtoL__L=E_C=E_R=ROY__TO__L=ROY_C=E_R=E",
"pair_id": "n3_RtoL",
"n_rings": 3,
"src": "R",
"tgt": "L",
"setting": "rule",
"symbolic": false,
"initial_state": "L=E_C=E_R=ROY",
"goal_state": "L=ROY_C=E_R=E",
"optimal_steps": 7,
"max_steps": 100,
"initial_image": "L=E_C=E_R=ROY.jpg",
"goal_image": "L=ROY_C=E_R=E.jpg",
"pq_gt": [
[
7
],
[
7
],
[
4,
5,
6
],
[
4,
5,
6
],
[
7
],
[
7
]
]
},
{
"problem_id": "opt_rule_img__n4_CtoL__L=E_C=SROY_R=E__TO__L=SROY_C=E_R=E",
"pair_id": "n4_CtoL",
"n_rings": 4,
"src": "C",
"tgt": "L",
"setting": "rule",
"symbolic": false,
"initial_state": "L=E_C=SROY_R=E",
"goal_state": "L=SROY_C=E_R=E",
"optimal_steps": 15,
"max_steps": 100,
"initial_image": "L=E_C=SROY_R=E.jpg",
"goal_image": "L=SROY_C=E_R=E.jpg",
"pq_gt": [
[
7
],
[
3,
4,
5,
6
],
[
7
],
[
3,
4,
5,
6
],
[
7
],
[
7
]
]
},
{
"problem_id": "opt_rule_img__n4_CtoR__L=E_C=SROY_R=E__TO__L=E_C=E_R=SROY",
"pair_id": "n4_CtoR",
"n_rings": 4,
"src": "C",
"tgt": "R",
"setting": "rule",
"symbolic": false,
"initial_state": "L=E_C=SROY_R=E",
"goal_state": "L=E_C=E_R=SROY",
"optimal_steps": 15,
"max_steps": 100,
"initial_image": "L=E_C=SROY_R=E.jpg",
"goal_image": "L=E_C=E_R=SROY.jpg",
"pq_gt": [
[
7
],
[
3,
4,
5,
6
],
[
7
],
[
7
],
[
7
],
[
3,
4,
5,
6
]
]
},
{
"problem_id": "opt_rule_img__n4_LtoC__L=SROY_C=E_R=E__TO__L=E_C=SROY_R=E",
"pair_id": "n4_LtoC",
"n_rings": 4,
"src": "L",
"tgt": "C",
"setting": "rule",
"symbolic": false,
"initial_state": "L=SROY_C=E_R=E",
"goal_state": "L=E_C=SROY_R=E",
"optimal_steps": 15,
"max_steps": 100,
"initial_image": "L=SROY_C=E_R=E.jpg",
"goal_image": "L=E_C=SROY_R=E.jpg",
"pq_gt": [
[
3,
4,
5,
6
],
[
7
],
[
7
],
[
7
],
[
3,
4,
5,
6
],
[
7
]
]
},
{
"problem_id": "opt_rule_img__n4_LtoR__L=SROY_C=E_R=E__TO__L=E_C=E_R=SROY",
"pair_id": "n4_LtoR",
"n_rings": 4,
"src": "L",
"tgt": "R",
"setting": "rule",
"symbolic": false,
"initial_state": "L=SROY_C=E_R=E",
"goal_state": "L=E_C=E_R=SROY",
"optimal_steps": 15,
"max_steps": 100,
"initial_image": "L=SROY_C=E_R=E.jpg",
"goal_image": "L=E_C=E_R=SROY.jpg",
"pq_gt": [
[
3,
4,
5,
6
],
[
7
],
[
7
],
[
7
],
[
7
],
[
3,
4,
5,
6
]
]
},
{
"problem_id": "opt_rule_img__n4_RtoC__L=E_C=E_R=SROY__TO__L=E_C=SROY_R=E",
"pair_id": "n4_RtoC",
"n_rings": 4,
"src": "R",
"tgt": "C",
"setting": "rule",
"symbolic": false,
"initial_state": "L=E_C=E_R=SROY",
"goal_state": "L=E_C=SROY_R=E",
"optimal_steps": 15,
"max_steps": 100,
"initial_image": "L=E_C=E_R=SROY.jpg",
"goal_image": "L=E_C=SROY_R=E.jpg",
"pq_gt": [
[
7
],
[
7
],
[
3,
4,
5,
6
],
[
7
],
[
3,
4,
5,
6
],
[
7
]
]
},
{
"problem_id": "opt_rule_img__n4_RtoL__L=E_C=E_R=SROY__TO__L=SROY_C=E_R=E",
"pair_id": "n4_RtoL",
"n_rings": 4,
"src": "R",
"tgt": "L",
"setting": "rule",
"symbolic": false,
"initial_state": "L=E_C=E_R=SROY",
"goal_state": "L=SROY_C=E_R=E",
"optimal_steps": 15,
"max_steps": 100,
"initial_image": "L=E_C=E_R=SROY.jpg",
"goal_image": "L=SROY_C=E_R=E.jpg",
"pq_gt": [
[
7
],
[
7
],
[
3,
4,
5,
6
],
[
3,
4,
5,
6
],
[
7
],
[
7
]
]
},
{
"problem_id": "opt_rule_img__n5_CtoL__L=E_C=LSROY_R=E__TO__L=LSROY_C=E_R=E",
"pair_id": "n5_CtoL",
"n_rings": 5,
"src": "C",
"tgt": "L",
"setting": "rule",
"symbolic": false,
"initial_state": "L=E_C=LSROY_R=E",
"goal_state": "L=LSROY_C=E_R=E",
"optimal_steps": 31,
"max_steps": 100,
"initial_image": "L=E_C=LSROY_R=E.jpg",
"goal_image": "L=LSROY_C=E_R=E.jpg",
"pq_gt": [
[
7
],
[
2,
3,
4,
5,
6
],
[
7
],
[
2,
3,
4,
5,
6
],
[
7
],
[
7
]
]
},
{
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"src": "R",
"tgt": "C",
"setting": "free",
"symbolic": true,
"initial_state": "L=E_C=E_R=YOR",
"goal_state": "L=E_C=YOR_R=E",
"optimal_steps": 7,
"max_steps": 100,
"initial_image": null,
"goal_image": null
},
{
"problem_id": "opt_free_sym__n3_RtoL__L=E_C=E_R=YOR__TO__L=YOR_C=E_R=E",
"pair_id": "n3_RtoL",
"n_rings": 3,
"src": "R",
"tgt": "L",
"setting": "free",
"symbolic": true,
"initial_state": "L=E_C=E_R=YOR",
"goal_state": "L=YOR_C=E_R=E",
"optimal_steps": 7,
"max_steps": 100,
"initial_image": null,
"goal_image": null
},
{
"problem_id": "opt_free_sym__n4_CtoL__L=E_C=YORS_R=E__TO__L=YORS_C=E_R=E",
"pair_id": "n4_CtoL",
"n_rings": 4,
"src": "C",
"tgt": "L",
"setting": "free",
"symbolic": true,
"initial_state": "L=E_C=YORS_R=E",
"goal_state": "L=YORS_C=E_R=E",
"optimal_steps": 15,
"max_steps": 100,
"initial_image": null,
"goal_image": null
},
{
"problem_id": "opt_free_sym__n4_CtoR__L=E_C=YORS_R=E__TO__L=E_C=E_R=YORS",
"pair_id": "n4_CtoR",
"n_rings": 4,
"src": "C",
"tgt": "R",
"setting": "free",
"symbolic": true,
"initial_state": "L=E_C=YORS_R=E",
"goal_state": "L=E_C=E_R=YORS",
"optimal_steps": 15,
"max_steps": 100,
"initial_image": null,
"goal_image": null
},
{
"problem_id": "opt_free_sym__n4_LtoC__L=YORS_C=E_R=E__TO__L=E_C=YORS_R=E",
"pair_id": "n4_LtoC",
"n_rings": 4,
"src": "L",
"tgt": "C",
"setting": "free",
"symbolic": true,
"initial_state": "L=YORS_C=E_R=E",
"goal_state": "L=E_C=YORS_R=E",
"optimal_steps": 15,
"max_steps": 100,
"initial_image": null,
"goal_image": null
},
{
"problem_id": "opt_free_sym__n4_LtoR__L=YORS_C=E_R=E__TO__L=E_C=E_R=YORS",
"pair_id": "n4_LtoR",
"n_rings": 4,
"src": "L",
"tgt": "R",
"setting": "free",
"symbolic": true,
"initial_state": "L=YORS_C=E_R=E",
"goal_state": "L=E_C=E_R=YORS",
"optimal_steps": 15,
"max_steps": 100,
"initial_image": null,
"goal_image": null
},
{
"problem_id": "opt_free_sym__n4_RtoC__L=E_C=E_R=YORS__TO__L=E_C=YORS_R=E",
"pair_id": "n4_RtoC",
"n_rings": 4,
"src": "R",
"tgt": "C",
"setting": "free",
"symbolic": true,
"initial_state": "L=E_C=E_R=YORS",
"goal_state": "L=E_C=YORS_R=E",
"optimal_steps": 15,
"max_steps": 100,
"initial_image": null,
"goal_image": null
},
{
"problem_id": "opt_free_sym__n4_RtoL__L=E_C=E_R=YORS__TO__L=YORS_C=E_R=E",
"pair_id": "n4_RtoL",
"n_rings": 4,
"src": "R",
"tgt": "L",
"setting": "free",
"symbolic": true,
"initial_state": "L=E_C=E_R=YORS",
"goal_state": "L=YORS_C=E_R=E",
"optimal_steps": 15,
"max_steps": 100,
"initial_image": null,
"goal_image": null
},
{
"problem_id": "opt_free_sym__n5_CtoL__L=E_C=YORSL_R=E__TO__L=YORSL_C=E_R=E",
"pair_id": "n5_CtoL",
"n_rings": 5,
"src": "C",
"tgt": "L",
"setting": "free",
"symbolic": true,
"initial_state": "L=E_C=YORSL_R=E",
"goal_state": "L=YORSL_C=E_R=E",
"optimal_steps": 31,
"max_steps": 100,
"initial_image": null,
"goal_image": null
},
{
"problem_id": "opt_free_sym__n5_CtoR__L=E_C=YORSL_R=E__TO__L=E_C=E_R=YORSL",
"pair_id": "n5_CtoR",
"n_rings": 5,
"src": "C",
"tgt": "R",
"setting": "free",
"symbolic": true,
"initial_state": "L=E_C=YORSL_R=E",
"goal_state": "L=E_C=E_R=YORSL",
"optimal_steps": 31,
"max_steps": 100,
"initial_image": null,
"goal_image": null
},
{
"problem_id": "opt_free_sym__n5_LtoC__L=YORSL_C=E_R=E__TO__L=E_C=YORSL_R=E",
"pair_id": "n5_LtoC",
"n_rings": 5,
"src": "L",
"tgt": "C",
"setting": "free",
"symbolic": true,
"initial_state": "L=YORSL_C=E_R=E",
"goal_state": "L=E_C=YORSL_R=E",
"optimal_steps": 31,
"max_steps": 100,
"initial_image": null,
"goal_image": null
},
{
"problem_id": "opt_free_sym__n5_LtoR__L=YORSL_C=E_R=E__TO__L=E_C=E_R=YORSL",
"pair_id": "n5_LtoR",
"n_rings": 5,
"src": "L",
"tgt": "R",
"setting": "free",
"symbolic": true,
"initial_state": "L=YORSL_C=E_R=E",
"goal_state": "L=E_C=E_R=YORSL",
"optimal_steps": 31,
"max_steps": 100,
"initial_image": null,
"goal_image": null
},
{
"problem_id": "opt_free_sym__n5_RtoC__L=E_C=E_R=YORSL__TO__L=E_C=YORSL_R=E",
"pair_id": "n5_RtoC",
"n_rings": 5,
"src": "R",
"tgt": "C",
"setting": "free",
"symbolic": true,
"initial_state": "L=E_C=E_R=YORSL",
"goal_state": "L=E_C=YORSL_R=E",
"optimal_steps": 31,
"max_steps": 100,
"initial_image": null,
"goal_image": null
},
{
"problem_id": "opt_free_sym__n5_RtoL__L=E_C=E_R=YORSL__TO__L=YORSL_C=E_R=E",
"pair_id": "n5_RtoL",
"n_rings": 5,
"src": "R",
"tgt": "L",
"setting": "free",
"symbolic": true,
"initial_state": "L=E_C=E_R=YORSL",
"goal_state": "L=YORSL_C=E_R=E",
"optimal_steps": 31,
"max_steps": 100,
"initial_image": null,
"goal_image": null
},
{
"problem_id": "opt_free_sym__n6_CtoL__L=E_C=YORSLG_R=E__TO__L=YORSLG_C=E_R=E",
"pair_id": "n6_CtoL",
"n_rings": 6,
"src": "C",
"tgt": "L",
"setting": "free",
"symbolic": true,
"initial_state": "L=E_C=YORSLG_R=E",
"goal_state": "L=YORSLG_C=E_R=E",
"optimal_steps": 63,
"max_steps": 100,
"initial_image": null,
"goal_image": null
},
{
"problem_id": "opt_free_sym__n6_CtoR__L=E_C=YORSLG_R=E__TO__L=E_C=E_R=YORSLG",
"pair_id": "n6_CtoR",
"n_rings": 6,
"src": "C",
"tgt": "R",
"setting": "free",
"symbolic": true,
"initial_state": "L=E_C=YORSLG_R=E",
"goal_state": "L=E_C=E_R=YORSLG",
"optimal_steps": 63,
"max_steps": 100,
"initial_image": null,
"goal_image": null
},
{
"problem_id": "opt_free_sym__n6_LtoC__L=YORSLG_C=E_R=E__TO__L=E_C=YORSLG_R=E",
"pair_id": "n6_LtoC",
"n_rings": 6,
"src": "L",
"tgt": "C",
"setting": "free",
"symbolic": true,
"initial_state": "L=YORSLG_C=E_R=E",
"goal_state": "L=E_C=YORSLG_R=E",
"optimal_steps": 63,
"max_steps": 100,
"initial_image": null,
"goal_image": null
},
{
"problem_id": "opt_free_sym__n6_LtoR__L=YORSLG_C=E_R=E__TO__L=E_C=E_R=YORSLG",
"pair_id": "n6_LtoR",
"n_rings": 6,
"src": "L",
"tgt": "R",
"setting": "free",
"symbolic": true,
"initial_state": "L=YORSLG_C=E_R=E",
"goal_state": "L=E_C=E_R=YORSLG",
"optimal_steps": 63,
"max_steps": 100,
"initial_image": null,
"goal_image": null
},
{
"problem_id": "opt_free_sym__n6_RtoC__L=E_C=E_R=YORSLG__TO__L=E_C=YORSLG_R=E",
"pair_id": "n6_RtoC",
"n_rings": 6,
"src": "R",
"tgt": "C",
"setting": "free",
"symbolic": true,
"initial_state": "L=E_C=E_R=YORSLG",
"goal_state": "L=E_C=YORSLG_R=E",
"optimal_steps": 63,
"max_steps": 100,
"initial_image": null,
"goal_image": null
},
{
"problem_id": "opt_free_sym__n6_RtoL__L=E_C=E_R=YORSLG__TO__L=YORSLG_C=E_R=E",
"pair_id": "n6_RtoL",
"n_rings": 6,
"src": "R",
"tgt": "L",
"setting": "free",
"symbolic": true,
"initial_state": "L=E_C=E_R=YORSLG",
"goal_state": "L=YORSLG_C=E_R=E",
"optimal_steps": 63,
"max_steps": 100,
"initial_image": null,
"goal_image": null
}
],
"prompt_templates": {
"turn0_suffix": "Output format:\nReturn ONLY a single JSON object on one line with this schema:\n{\"pq\": [[...],[...],[...],[...],[...],[...]], \"reason\": \"<text>\"}\n- pq: list of 6 lists (PQ1..PQ6). Each inner list contains option IDs. Use [7] only if the pole is empty.\n- reason: 1-2 sentences about your plan approach (optional; keep short).\nDo not output any extra text.",
"step_suffix": "Output format:\nReturn ONLY a single JSON object on one line with this schema:\n{\"state\": \"L=..._C=..._R=...\"}\nIf the current state already matches the goal state, return:\n{\"state\": \"DONE\"}\nDo not output any extra text."
},
"schemas": {
"turn0": {
"pq": "list[list[int]] length 6",
"reason": "string"
},
"step": {
"state": "string"
}
}
}