id stringlengths 36 36 | original_img stringlengths 3.3k 5.05k | m_original_img stringlengths 6.32k 8.09k | instruction stringclasses 1
value | sol_img stringlengths 6.97k 10.3k | mask_img stringlengths 1.49k 2.56k | cell_map stringclasses 2
values | metadata stringlengths 425 845 |
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 | Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path. | 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 | Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path. | 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 | Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path. | 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| {"path_coordinates": [[1, 3], [0, 3], [0, 2], [1, 2], [1, 1], [2, 1], [2, 2], [3, 2], [3, 1], [3, 0], [2, 0], [1, 0]], "path_cell_ids": [14, 13, 9, 10, 6, 7, 11, 12, 8, 4, 3, 2], "start_cell": [1, 3], "end_cell": [1, 0], "maze_config": {"shape": "square", "width": 4, "height": 4, "layers": 10, "algorithm": "recursiveBacktrack", "seed": 954675582}, "difficulty": {"difficulty": 0.9221635427799564, "H_turn": 1.5219280948873621, "H_turn_norm": 0.9602297178607612, "H_rate": 1.1111111111111112, "H_rate_norm": 0.8650642801587494, "turns": ["RIGHT_90", "RIGHT_90", "LEFT_90", "RIGHT_90", "RIGHT_90", "LEFT_90", "LEFT_90", "STRAIGHT", "LEFT_90", "STRAIGHT"], "turnCounts": {"RIGHT_90": 4, "LEFT_90": 4, "STRAIGHT": 2}, "steps": 11, "baseAngleUsed": 90}} |
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| 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| Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path. | 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 | Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path. | 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 | Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path. | 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 | Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path. | 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8cd3226d-4fc6-403c-baa6-ea4175a106f5 | "iVBORw0KGgoAAAANSUhEUgAAAgAAAAIACAIAAAB7GkOtAAALW0lEQVR4nO3bT6vUZePHcUcOoqJmGR1bVAvJhVCrFiJUDyCsXQs(...TRUNCATED) | "iVBORw0KGgoAAAANSUhEUgAAAgAAAAIACAIAAAB7GkOtAAAUaElEQVR4nO3da4xcdd3A8f+0y3Z3pze6wNIgGi1UUq0KFq3IxQB(...TRUNCATED) | "Add the blue solution path for the maze, connect start point (solid red circle) to end point (red '(...TRUNCATED) | "iVBORw0KGgoAAAANSUhEUgAAAgAAAAIACAIAAAB7GkOtAAAXmElEQVR4nO3de5BW9Zng8V83TV+5NDSCDMEbgkpER4MGnYlO6SZ(...TRUNCATED) | "iVBORw0KGgoAAAANSUhEUgAAAgAAAAIACAIAAAB7GkOtAAAHKklEQVR4nO3XsQ3AMAwEMSvw/is7Y6g4cgF9d9Acwt572xOAHTP(...TRUNCATED) | "iVBORw0KGgoAAAANSUhEUgAAAgAAAAIACAIAAAB7GkOtAAAHNklEQVR4nO3XwQnDQBAEwTtL+WcscBjz6KoIBvbR7L2HLtcvc/2(...TRUNCATED) | "{\"path_coordinates\": [[1, 2], [1, 1], [2, 1], [2, 0], [1, 0]], \"path_cell_ids\": [8, 5, 6, 3, 2](...TRUNCATED) |
dc1b4a82-8069-417a-839f-e93637134d54 | "iVBORw0KGgoAAAANSUhEUgAAAgAAAAIACAIAAAB7GkOtAAANyUlEQVR4nO3cX2jVdQPH8c1N2mbqpo2CzKADalJeTegiCMKkGHU(...TRUNCATED) | "iVBORw0KGgoAAAANSUhEUgAAAgAAAAIACAIAAAB7GkOtAAAWa0lEQVR4nO3dCYxc9X3A8f/au9i7a2MvsDURNhA2MYcMpKndUoU(...TRUNCATED) | "Add the blue solution path for the maze, connect start point (solid red circle) to end point (red '(...TRUNCATED) | "iVBORw0KGgoAAAANSUhEUgAAAgAAAAIACAIAAAB7GkOtAAAcD0lEQVR4nO3dCXRU9b3A8f8kk2VmSEgCIXgIS03ZFAURrE9tq4i(...TRUNCATED) | "iVBORw0KGgoAAAANSUhEUgAAAgAAAAIACAIAAAB7GkOtAAAHPklEQVR4nO3YsRHDMAwEQcGj/luGYleA4HYb4GdHcnb3ATgyM9c(...TRUNCATED) | "iVBORw0KGgoAAAANSUhEUgAAAgAAAAIACAIAAAB7GkOtAAAHRElEQVR4nO3XsQ0DMRAEsZdx/dfsMjYYsgEdNhnovY8l+2/Zf8v(...TRUNCATED) | "{\"path_coordinates\": [[2, 3], [1, 3], [1, 2], [2, 2], [3, 2], [3, 1], [2, 1], [2, 0], [1, 0], [0,(...TRUNCATED) |
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