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idx_120
You are an expert Rush Hour ({N}×{N}) solver. INPUTS • Board (row-major string with 'o','A','B'..'Z', optional 'x') • Board size (e.g., 4×4/5×5/6×6) • Optimum moves {moves} OUTPUT • Exactly ONE optimal sequence in <answer> only. • Token = <PIECE><DIR><STEPS> (e.g., A>2,B<1,Cv3) • DIR: '<' left, '>' right, '^' up, 'v' d...
[ "Bv1", "A>3" ]
[ "Bv1,A>3" ]
https://liv.services.ai.azure.com
DeepSeek-R1
2024-05-01-preview
0.3
0.95
0
test
0
{ "output": "<think>\nOkay, let's try to solve this Rush Hour puzzle. The board is 5x5, and the goal is to get car 'A' to the right edge in exactly 3 moves. Let me start by visualizing the board based on the input string.\n\nThe input string is \"AAooBoCooBoCDooooDEEFFDoo\". Let's break this down into a 5x5 grid row ...
null
{ "prompt_tokens": 451, "completion_tokens": 900, "total_tokens": 1351 }
idx_370
You are an expert Rush Hour ({N}×{N}) solver. INPUTS • Board (row-major string with 'o','A','B'..'Z', optional 'x') • Board size (e.g., 4×4/5×5/6×6) • Optimum moves {moves} OUTPUT • Exactly ONE optimal sequence in <answer> only. • Token = <PIECE><DIR><STEPS> (e.g., A>2,B<1,Cv3) • DIR: '<' left, '>' right, '^' up, 'v' d...
[ "Cv1", "A>2" ]
[ "Cv1,A>2" ]
https://liv.services.ai.azure.com
DeepSeek-R1
2024-05-01-preview
0.3
0.95
0
test
0
{ "output": "<think>\nOkay, let's try to solve this Rush Hour puzzle. The board is 6x6, and the input is \"BAAoCBDEoCBDEoCoFFooGGHHo\". The goal is to get car 'A' to the right edge in the optimal number of moves, which I think is given as 8. Wait, the user mentioned \"Optimum moves {moves}\" but didn't specify the nu...
null
{ "prompt_tokens": 453, "completion_tokens": 900, "total_tokens": 1353 }
idx_120
You are an expert Rush Hour ({N}×{N}) solver. INPUTS • Board (row-major string with 'o','A','B'..'Z', optional 'x') • Board size (e.g., 4×4/5×5/6×6) • Optimum moves {moves} OUTPUT • Exactly ONE optimal sequence in <answer> only. • Token = <PIECE><DIR><STEPS> (e.g., A>2,B<1,Cv3) • DIR: '<' left, '>' right, '^' up, 'v' d...
[ "Bv1", "A>3" ]
[ "Bv1,A>3" ]
https://liv.services.ai.azure.com
DeepSeek-R1
2024-05-01-preview
0.3
0.95
0
test
1
{ "output": "<think>\nOkay, let's try to solve this Rush Hour puzzle. The board is 6x6, and the input is given as \"AAooBoCooBoCDooooDEEFFDoo\". The goal is to get car 'A' to the right edge in the optimal number of moves, which here is 3. I need to find the shortest sequence of moves that achieves this, and if there ...
null
{ "prompt_tokens": 451, "completion_tokens": 900, "total_tokens": 1351 }
idx_370
You are an expert Rush Hour ({N}×{N}) solver. INPUTS • Board (row-major string with 'o','A','B'..'Z', optional 'x') • Board size (e.g., 4×4/5×5/6×6) • Optimum moves {moves} OUTPUT • Exactly ONE optimal sequence in <answer> only. • Token = <PIECE><DIR><STEPS> (e.g., A>2,B<1,Cv3) • DIR: '<' left, '>' right, '^' up, 'v' d...
[ "Cv1", "A>2" ]
[ "Cv1,A>2" ]
https://liv.services.ai.azure.com
DeepSeek-R1
2024-05-01-preview
0.3
0.95
0
test
1
{ "output": "<think>\nOkay, let's try to solve this Rush Hour puzzle. The board is given as a 5x5 grid, right? The input string is \"BAAoCBDEoCBDEoCoFFooGGHHo\". Let me visualize this. \n\nFirst, I'll break the string into rows. Since it's 5x5, each row has 5 characters. So the rows are:\n\nRow 0: B A A o C\nRow 1: B...
null
{ "prompt_tokens": 453, "completion_tokens": 900, "total_tokens": 1353 }
idx_120
You are an expert Rush Hour ({N}×{N}) solver. INPUTS • Board (row-major string with 'o','A','B'..'Z', optional 'x') • Board size (e.g., 4×4/5×5/6×6) • Optimum moves {moves} OUTPUT • Exactly ONE optimal sequence in <answer> only. • Token = <PIECE><DIR><STEPS> (e.g., A>2,B<1,Cv3) • DIR: '<' left, '>' right, '^' up, 'v' d...
[ "Bv1", "A>3" ]
[ "Bv1,A>3" ]
https://liv.services.ai.azure.com
DeepSeek-R1
2024-05-01-preview
0.3
0.95
0
test
2
{ "output": "<think>\nOkay, let's try to solve this Rush Hour puzzle. The board is 6x6, and the given moves are 4. The goal is to get car 'A' to the right edge. Let me visualize the board first based on the input string.\n\nThe input is \"AAooBoCooBoCDooooDEEFFDoo\". Let's break it down row by row for a 6x6 grid. Eac...
null
{ "prompt_tokens": 451, "completion_tokens": 900, "total_tokens": 1351 }
idx_370
You are an expert Rush Hour ({N}×{N}) solver. INPUTS • Board (row-major string with 'o','A','B'..'Z', optional 'x') • Board size (e.g., 4×4/5×5/6×6) • Optimum moves {moves} OUTPUT • Exactly ONE optimal sequence in <answer> only. • Token = <PIECE><DIR><STEPS> (e.g., A>2,B<1,Cv3) • DIR: '<' left, '>' right, '^' up, 'v' d...
[ "Cv1", "A>2" ]
[ "Cv1,A>2" ]
https://liv.services.ai.azure.com
DeepSeek-R1
2024-05-01-preview
0.3
0.95
0
test
2
{ "output": "<think>\nOkay, let's try to solve this Rush Hour puzzle. The board is given as a 5x5 grid, right? The input string is \"BAAoCBDEoCBDEoCoFFooGGHHo\". I need to visualize this first. Let me break it down row by row.\n\nThe board size is 5x5, so each row has 5 characters. Let's split the input into rows:\n\...
null
{ "prompt_tokens": 453, "completion_tokens": 900, "total_tokens": 1353 }
idx_120
You are an expert Rush Hour ({N}×{N}) solver. INPUTS • Board (row-major string with 'o','A','B'..'Z', optional 'x') • Board size (e.g., 4×4/5×5/6×6) • Optimum moves {moves} OUTPUT • Exactly ONE optimal sequence in <answer> only. • Token = <PIECE><DIR><STEPS> (e.g., A>2,B<1,Cv3) • DIR: '<' left, '>' right, '^' up, 'v' d...
[ "Bv1", "A>3" ]
[ "Bv1,A>3" ]
https://liv.services.ai.azure.com
DeepSeek-R1
2024-05-01-preview
0.3
0.95
0
test
3
{ "output": "<think>\nOkay, let's try to solve this Rush Hour puzzle. The board is 6x6, and the input is \"AAooBoCooBoCDooooDEEFFDoo\". The goal is to get car 'A' to the right edge in the optimal number of moves, which here is given as 3. So I need to find a sequence of exactly 3 moves that achieves this, and if ther...
null
{ "prompt_tokens": 451, "completion_tokens": 900, "total_tokens": 1351 }
idx_370
You are an expert Rush Hour ({N}×{N}) solver. INPUTS • Board (row-major string with 'o','A','B'..'Z', optional 'x') • Board size (e.g., 4×4/5×5/6×6) • Optimum moves {moves} OUTPUT • Exactly ONE optimal sequence in <answer> only. • Token = <PIECE><DIR><STEPS> (e.g., A>2,B<1,Cv3) • DIR: '<' left, '>' right, '^' up, 'v' d...
[ "Cv1", "A>2" ]
[ "Cv1,A>2" ]
https://liv.services.ai.azure.com
DeepSeek-R1
2024-05-01-preview
0.3
0.95
0
test
3
{ "output": "<think>\nOkay, let's tackle this Rush Hour problem. The board is given as a string, and I need to find the optimal sequence of moves to get car 'A' to the right edge. The board size isn't specified here, but looking at the input string length, let's see. The input is \"BAAoCBDEoCBDEoCoFFooGGHHo\". Let's ...
null
{ "prompt_tokens": 453, "completion_tokens": 900, "total_tokens": 1353 }
idx_120
You are an expert Rush Hour ({N}×{N}) solver. INPUTS • Board (row-major string with 'o','A','B'..'Z', optional 'x') • Board size (e.g., 4×4/5×5/6×6) • Optimum moves {moves} OUTPUT • Exactly ONE optimal sequence in <answer> only. • Token = <PIECE><DIR><STEPS> (e.g., A>2,B<1,Cv3) • DIR: '<' left, '>' right, '^' up, 'v' d...
[ "Bv1", "A>3" ]
[ "Bv1,A>3" ]
https://liv.services.ai.azure.com
DeepSeek-R1
2024-05-01-preview
0.3
0.95
0
test
4
{ "output": "<think>\nOkay, let's try to solve this Rush Hour puzzle. The board is given as a string, and I need to find the optimal sequence of moves to get car 'A' to the right edge. The board size isn't specified here, but looking at the input string, let's see: the input is \"AAooBoCooBoCDooooDEEFFDoo\". Let me c...
null
{ "prompt_tokens": 451, "completion_tokens": 900, "total_tokens": 1351 }
idx_370
You are an expert Rush Hour ({N}×{N}) solver. INPUTS • Board (row-major string with 'o','A','B'..'Z', optional 'x') • Board size (e.g., 4×4/5×5/6×6) • Optimum moves {moves} OUTPUT • Exactly ONE optimal sequence in <answer> only. • Token = <PIECE><DIR><STEPS> (e.g., A>2,B<1,Cv3) • DIR: '<' left, '>' right, '^' up, 'v' d...
[ "Cv1", "A>2" ]
[ "Cv1,A>2" ]
https://liv.services.ai.azure.com
DeepSeek-R1
2024-05-01-preview
0.3
0.95
0
test
4
{ "output": "<think>\nOkay, let's try to solve this Rush Hour puzzle. The board is 6x6, and the input is given as a string: BAAoCBDEoCBDEoCoFFooGGHHo. The goal is to get car 'A' to the right edge in the optimal number of moves, which I think is 8 here. Let me visualize the board first.\n\nFirst, I need to parse the b...
null
{ "prompt_tokens": 453, "completion_tokens": 900, "total_tokens": 1353 }
idx_120
You are an expert Rush Hour ({N}×{N}) solver. INPUTS • Board (row-major string with 'o','A','B'..'Z', optional 'x') • Board size (e.g., 4×4/5×5/6×6) • Optimum moves {moves} OUTPUT • Exactly ONE optimal sequence in <answer> only. • Token = <PIECE><DIR><STEPS> (e.g., A>2,B<1,Cv3) • DIR: '<' left, '>' right, '^' up, 'v' d...
[ "Bv1", "A>3" ]
[ "Bv1,A>3" ]
https://liv.services.ai.azure.com
DeepSeek-R1
2024-05-01-preview
0.3
0.95
0
test
5
{ "output": "<think>\nOkay, let's try to solve this Rush Hour puzzle. The board is given as a string, and I need to find the optimal sequence of moves that gets car 'A' to the exit in the specified number of moves. The input board is \"AAooBoCooBoCDooooDEEFFDoo\" and the size is 6x6. The optimum moves are 3, so I nee...
null
{ "prompt_tokens": 451, "completion_tokens": 900, "total_tokens": 1351 }
idx_370
You are an expert Rush Hour ({N}×{N}) solver. INPUTS • Board (row-major string with 'o','A','B'..'Z', optional 'x') • Board size (e.g., 4×4/5×5/6×6) • Optimum moves {moves} OUTPUT • Exactly ONE optimal sequence in <answer> only. • Token = <PIECE><DIR><STEPS> (e.g., A>2,B<1,Cv3) • DIR: '<' left, '>' right, '^' up, 'v' d...
[ "Cv1", "A>2" ]
[ "Cv1,A>2" ]
https://liv.services.ai.azure.com
DeepSeek-R1
2024-05-01-preview
0.3
0.95
0
test
5
{ "output": "<think>\nOkay, let's try to solve this Rush Hour puzzle. The board is 6x6, and the input is given as a string: BAAoCBDEoCBDEoCoFFooGGHHo. The goal is to get car 'A' to the right edge in the optimal number of moves, which I assume is provided as {moves}, but since it's not specified here, maybe I need to ...
null
{ "prompt_tokens": 453, "completion_tokens": 900, "total_tokens": 1353 }
idx_120
You are an expert Rush Hour ({N}×{N}) solver. INPUTS • Board (row-major string with 'o','A','B'..'Z', optional 'x') • Board size (e.g., 4×4/5×5/6×6) • Optimum moves {moves} OUTPUT • Exactly ONE optimal sequence in <answer> only. • Token = <PIECE><DIR><STEPS> (e.g., A>2,B<1,Cv3) • DIR: '<' left, '>' right, '^' up, 'v' d...
[ "Bv1", "A>3" ]
[ "Bv1,A>3" ]
https://liv.services.ai.azure.com
DeepSeek-R1
2024-05-01-preview
0.3
0.95
0
test
6
{ "output": "<think>\nOkay, let's try to solve this Rush Hour puzzle. The board is 5x5, and the goal is to get car 'A' to the right edge in the optimal number of moves, which is given as 4. The input board is \"AAooBoCooBoCDooooDEEFFDoo\". Hmm, first I need to visualize the board layout.\n\nLet me parse the board str...
null
{ "prompt_tokens": 451, "completion_tokens": 900, "total_tokens": 1351 }
idx_120
You are an expert Rush Hour ({N}×{N}) solver. INPUTS • Board (row-major string with 'o','A','B'..'Z', optional 'x') • Board size (e.g., 4×4/5×5/6×6) • Optimum moves {moves} OUTPUT • Exactly ONE optimal sequence in <answer> only. • Token = <PIECE><DIR><STEPS> (e.g., A>2,B<1,Cv3) • DIR: '<' left, '>' right, '^' up, 'v' d...
[ "Bv1", "A>3" ]
[ "Bv1,A>3" ]
https://liv.services.ai.azure.com
DeepSeek-R1
2024-05-01-preview
0.3
0.95
0
test
7
{ "output": "<think>\nOkay, let's try to solve this Rush Hour puzzle. The board is 5x5, right? The input given is the board as a row-major string: \"AAooBoCooBoCDooooDEEFFDoo\". The goal is to get the 'A' car to the right edge in the optimal number of moves, which I think is provided here as 4} moves. Wait, the user ...
null
{ "prompt_tokens": 451, "completion_tokens": 900, "total_tokens": 1351 }
idx_370
You are an expert Rush Hour ({N}×{N}) solver. INPUTS • Board (row-major string with 'o','A','B'..'Z', optional 'x') • Board size (e.g., 4×4/5×5/6×6) • Optimum moves {moves} OUTPUT • Exactly ONE optimal sequence in <answer> only. • Token = <PIECE><DIR><STEPS> (e.g., A>2,B<1,Cv3) • DIR: '<' left, '>' right, '^' up, 'v' d...
[ "Cv1", "A>2" ]
[ "Cv1,A>2" ]
https://liv.services.ai.azure.com
DeepSeek-R1
2024-05-01-preview
0.3
0.95
0
test
6
{ "output": "<think>\nOkay, let's try to solve this Rush Hour puzzle. The board is 6x6, and the input is \"BAAoCBDEoCBDEoCoFFooGGHHo\". The goal is to get car 'A' to the right edge in the optimal number of moves, which I think is given here as 8 moves. Wait, the user mentioned \"Optimum moves {moves}\" but didn't spe...
null
{ "prompt_tokens": 453, "completion_tokens": 900, "total_tokens": 1353 }
idx_50
You are an expert Rush Hour ({N}×{N}) solver. INPUTS • Board (row-major string with 'o','A','B'..'Z', optional 'x') • Board size (e.g., 4×4/5×5/6×6) • Optimum moves {moves} OUTPUT • Exactly ONE optimal sequence in <answer> only. • Token = <PIECE><DIR><STEPS> (e.g., A>2,B<1,Cv3) • DIR: '<' left, '>' right, '^' up, 'v' d...
[ "C^1", "A>2" ]
[ "C^1,A>2" ]
https://liv.services.ai.azure.com
DeepSeek-R1
2024-05-01-preview
0.3
0.95
0
test
0
{ "output": "<think>\nOkay, let's try to solve this Rush Hour puzzle. The board is 6x6, and the goal is to get car 'A' to the right edge in the optimal number of moves. The given input is the board string: oBooooBoCoDAACoDoEEooooFF. Let me first parse the board layout to understand where each car is placed.\n\nFirst,...
null
{ "prompt_tokens": 450, "completion_tokens": 900, "total_tokens": 1350 }
idx_370
You are an expert Rush Hour ({N}×{N}) solver. INPUTS • Board (row-major string with 'o','A','B'..'Z', optional 'x') • Board size (e.g., 4×4/5×5/6×6) • Optimum moves {moves} OUTPUT • Exactly ONE optimal sequence in <answer> only. • Token = <PIECE><DIR><STEPS> (e.g., A>2,B<1,Cv3) • DIR: '<' left, '>' right, '^' up, 'v' d...
[ "Cv1", "A>2" ]
[ "Cv1,A>2" ]
https://liv.services.ai.azure.com
DeepSeek-R1
2024-05-01-preview
0.3
0.95
0
test
7
{ "output": "<think>\nOkay, let's try to solve this Rush Hour puzzle. The board is given as a 5x5 grid, and the optimum number of moves is 3. The goal is to get car 'A' to the right edge. Let me visualize the board first based on the input string: BAAoCBDEoCBDEoCoFFooGGHHo.\n\nBreaking down the input string into rows...
null
{ "prompt_tokens": 453, "completion_tokens": 900, "total_tokens": 1353 }
idx_300
You are an expert Rush Hour ({N}×{N}) solver. INPUTS • Board (row-major string with 'o','A','B'..'Z', optional 'x') • Board size (e.g., 4×4/5×5/6×6) • Optimum moves {moves} OUTPUT • Exactly ONE optimal sequence in <answer> only. • Token = <PIECE><DIR><STEPS> (e.g., A>2,B<1,Cv3) • DIR: '<' left, '>' right, '^' up, 'v' d...
[ "Bv1", "Bv1", "A>2" ]
[ "Bv1,Bv1,A>2" ]
https://liv.services.ai.azure.com
DeepSeek-R1
2024-05-01-preview
0.3
0.95
0
test
0
{ "output": "<think>\nOkay, let's try to solve this Rush Hour puzzle. The board is given as a row-major string, and I need to find the optimal sequence of moves to get car 'A' to the right edge. The board size isn't specified here, but looking at the input string, let's see: the string is \"oAABCDEoBCDEoBCDEoooFFGGo\...
null
{ "prompt_tokens": 452, "completion_tokens": 900, "total_tokens": 1352 }
idx_50
You are an expert Rush Hour ({N}×{N}) solver. INPUTS • Board (row-major string with 'o','A','B'..'Z', optional 'x') • Board size (e.g., 4×4/5×5/6×6) • Optimum moves {moves} OUTPUT • Exactly ONE optimal sequence in <answer> only. • Token = <PIECE><DIR><STEPS> (e.g., A>2,B<1,Cv3) • DIR: '<' left, '>' right, '^' up, 'v' d...
[ "C^1", "A>2" ]
[ "C^1,A>2" ]
https://liv.services.ai.azure.com
DeepSeek-R1
2024-05-01-preview
0.3
0.95
0
test
1
{ "output": "<think>\nOkay, let's try to solve this Rush Hour puzzle. The board is 6x6, and the input is \"oBooooBoCoDAACoDoEEooooFF\". The goal is to get car 'A' to the right edge in the optimal number of moves, which I think is given here as 8 moves. Wait, the user mentioned \"Optimum moves {moves}\" but didn't spe...
null
{ "prompt_tokens": 450, "completion_tokens": 900, "total_tokens": 1350 }
idx_300
You are an expert Rush Hour ({N}×{N}) solver. INPUTS • Board (row-major string with 'o','A','B'..'Z', optional 'x') • Board size (e.g., 4×4/5×5/6×6) • Optimum moves {moves} OUTPUT • Exactly ONE optimal sequence in <answer> only. • Token = <PIECE><DIR><STEPS> (e.g., A>2,B<1,Cv3) • DIR: '<' left, '>' right, '^' up, 'v' d...
[ "Bv1", "Bv1", "A>2" ]
[ "Bv1,Bv1,A>2" ]
https://liv.services.ai.azure.com
DeepSeek-R1
2024-05-01-preview
0.3
0.95
0
test
1
{ "output": "<think>\nOkay, let's try to solve this Rush Hour puzzle. The board is given as a row-major string, and the size is 6x6. The goal is to get the car 'A' to the right edge in the optimal number of moves, which I need to figure out. The example provided uses 2 moves, but here the user hasn't specified the {m...
null
{ "prompt_tokens": 452, "completion_tokens": 900, "total_tokens": 1352 }
idx_50
You are an expert Rush Hour ({N}×{N}) solver. INPUTS • Board (row-major string with 'o','A','B'..'Z', optional 'x') • Board size (e.g., 4×4/5×5/6×6) • Optimum moves {moves} OUTPUT • Exactly ONE optimal sequence in <answer> only. • Token = <PIECE><DIR><STEPS> (e.g., A>2,B<1,Cv3) • DIR: '<' left, '>' right, '^' up, 'v' d...
[ "C^1", "A>2" ]
[ "C^1,A>2" ]
https://liv.services.ai.azure.com
DeepSeek-R1
2024-05-01-preview
0.3
0.95
0
test
2
{ "output": "<think>\nOkay, let's try to solve this Rush Hour puzzle. The board is 6x6, and the input is \"oBooooBoCoDAACoDoEEooooFF\". The goal is to get car 'A' to the right edge in the optimal number of moves, which I think is given here as 8 moves. Wait, the user mentioned \"Optimum moves {moves}\" but didn't spe...
null
{ "prompt_tokens": 450, "completion_tokens": 900, "total_tokens": 1350 }
idx_300
You are an expert Rush Hour ({N}×{N}) solver. INPUTS • Board (row-major string with 'o','A','B'..'Z', optional 'x') • Board size (e.g., 4×4/5×5/6×6) • Optimum moves {moves} OUTPUT • Exactly ONE optimal sequence in <answer> only. • Token = <PIECE><DIR><STEPS> (e.g., A>2,B<1,Cv3) • DIR: '<' left, '>' right, '^' up, 'v' d...
[ "Bv1", "Bv1", "A>2" ]
[ "Bv1,Bv1,A>2" ]
https://liv.services.ai.azure.com
DeepSeek-R1
2024-05-01-preview
0.3
0.95
0
test
2
{ "output": "<think>\nOkay, let's try to solve this Rush Hour puzzle. The board is given as a row-major string: oAABCDEoBCDEoBCDEoooFFGGo. The size is 6x6, and the goal is to get car 'A' to the right edge with the optimal number of moves, which I need to figure out. Wait, the user didn't specify the {moves} here. Hmm...
null
{ "prompt_tokens": 452, "completion_tokens": 900, "total_tokens": 1352 }
idx_50
You are an expert Rush Hour ({N}×{N}) solver. INPUTS • Board (row-major string with 'o','A','B'..'Z', optional 'x') • Board size (e.g., 4×4/5×5/6×6) • Optimum moves {moves} OUTPUT • Exactly ONE optimal sequence in <answer> only. • Token = <PIECE><DIR><STEPS> (e.g., A>2,B<1,Cv3) • DIR: '<' left, '>' right, '^' up, 'v' d...
[ "C^1", "A>2" ]
[ "C^1,A>2" ]
https://liv.services.ai.azure.com
DeepSeek-R1
2024-05-01-preview
0.3
0.95
0
test
3
{ "output": "<think>\nOkay, let's try to solve this Rush Hour puzzle. The board is 6x6, and the input is \"oBooooBoCoDAACoDoEEooooFF\". The goal is to get car 'A' to the right edge in the optimal number of moves, which I think is given here as 8 moves. Wait, the user mentioned \"Optimum moves {moves}\" but didn't spe...
null
{ "prompt_tokens": 450, "completion_tokens": 900, "total_tokens": 1350 }
idx_300
You are an expert Rush Hour ({N}×{N}) solver. INPUTS • Board (row-major string with 'o','A','B'..'Z', optional 'x') • Board size (e.g., 4×4/5×5/6×6) • Optimum moves {moves} OUTPUT • Exactly ONE optimal sequence in <answer> only. • Token = <PIECE><DIR><STEPS> (e.g., A>2,B<1,Cv3) • DIR: '<' left, '>' right, '^' up, 'v' d...
[ "Bv1", "Bv1", "A>2" ]
[ "Bv1,Bv1,A>2" ]
https://liv.services.ai.azure.com
DeepSeek-R1
2024-05-01-preview
0.3
0.95
0
test
3
{ "output": "<think>\nOkay, let's try to solve this Rush Hour puzzle. The board is given as a row-major string: oAABCDEoBCDEoBCDEoooFFGGo. The size is 6x6, and the optimum moves are 3. I need to find the optimal sequence of exactly 3 moves that gets car A to the right edge, and if there are multiple solutions, pick t...
null
{ "prompt_tokens": 452, "completion_tokens": 900, "total_tokens": 1352 }
idx_50
You are an expert Rush Hour ({N}×{N}) solver. INPUTS • Board (row-major string with 'o','A','B'..'Z', optional 'x') • Board size (e.g., 4×4/5×5/6×6) • Optimum moves {moves} OUTPUT • Exactly ONE optimal sequence in <answer> only. • Token = <PIECE><DIR><STEPS> (e.g., A>2,B<1,Cv3) • DIR: '<' left, '>' right, '^' up, 'v' d...
[ "C^1", "A>2" ]
[ "C^1,A>2" ]
https://liv.services.ai.azure.com
DeepSeek-R1
2024-05-01-preview
0.3
0.95
0
test
4
{ "output": "<think>\nOkay, let's try to solve this Rush Hour puzzle. The board is 6x6, and the input is \"oBooooBoCoDAACoDoEEooooFF\". The goal is to get car 'A' to the right edge in the optimal number of moves, which I think is given as 3 here. Wait, the user mentioned \"Optimum moves {moves}\" but didn't specify t...
null
{ "prompt_tokens": 450, "completion_tokens": 900, "total_tokens": 1350 }
idx_300
You are an expert Rush Hour ({N}×{N}) solver. INPUTS • Board (row-major string with 'o','A','B'..'Z', optional 'x') • Board size (e.g., 4×4/5×5/6×6) • Optimum moves {moves} OUTPUT • Exactly ONE optimal sequence in <answer> only. • Token = <PIECE><DIR><STEPS> (e.g., A>2,B<1,Cv3) • DIR: '<' left, '>' right, '^' up, 'v' d...
[ "Bv1", "Bv1", "A>2" ]
[ "Bv1,Bv1,A>2" ]
https://liv.services.ai.azure.com
DeepSeek-R1
2024-05-01-preview
0.3
0.95
0
test
4
{ "output": "<think>\nOkay, let's try to solve this Rush Hour puzzle. The board is given as a row-major string, and the size is 6x6. The goal is to get car 'A' to the right edge in the optimal number of moves, which here is specified as 3. So I need to find a sequence of exactly 3 moves that leads to the solution, an...
null
{ "prompt_tokens": 452, "completion_tokens": 900, "total_tokens": 1352 }
idx_50
You are an expert Rush Hour ({N}×{N}) solver. INPUTS • Board (row-major string with 'o','A','B'..'Z', optional 'x') • Board size (e.g., 4×4/5×5/6×6) • Optimum moves {moves} OUTPUT • Exactly ONE optimal sequence in <answer> only. • Token = <PIECE><DIR><STEPS> (e.g., A>2,B<1,Cv3) • DIR: '<' left, '>' right, '^' up, 'v' d...
[ "C^1", "A>2" ]
[ "C^1,A>2" ]
https://liv.services.ai.azure.com
DeepSeek-R1
2024-05-01-preview
0.3
0.95
0
test
5
{ "output": "<think>\nOkay, let's try to solve this Rush Hour puzzle. The board is 6x6, and the input given is \"oBooooBoCoDAACoDoEEooooFF\". The goal is to get car 'A' to the right edge in the optimal number of moves, which I think is provided here as 8 moves. Wait, the user mentioned \"Optimum moves {moves}\" but d...
null
{ "prompt_tokens": 450, "completion_tokens": 900, "total_tokens": 1350 }
idx_300
You are an expert Rush Hour ({N}×{N}) solver. INPUTS • Board (row-major string with 'o','A','B'..'Z', optional 'x') • Board size (e.g., 4×4/5×5/6×6) • Optimum moves {moves} OUTPUT • Exactly ONE optimal sequence in <answer> only. • Token = <PIECE><DIR><STEPS> (e.g., A>2,B<1,Cv3) • DIR: '<' left, '>' right, '^' up, 'v' d...
[ "Bv1", "Bv1", "A>2" ]
[ "Bv1,Bv1,A>2" ]
https://liv.services.ai.azure.com
DeepSeek-R1
2024-05-01-preview
0.3
0.95
0
test
5
{ "output": "<think>\nOkay, let's try to solve this Rush Hour puzzle. The board is given as a row-major string: \"oAABCDEoBCDEoBCDEoooFFGGo\". The size is 6x6, and the optimum moves are 3. I need to find the shortest sequence of moves that gets car 'A' to the right edge. If there are multiple solutions, I have to pic...
null
{ "prompt_tokens": 452, "completion_tokens": 900, "total_tokens": 1352 }
idx_50
You are an expert Rush Hour ({N}×{N}) solver. INPUTS • Board (row-major string with 'o','A','B'..'Z', optional 'x') • Board size (e.g., 4×4/5×5/6×6) • Optimum moves {moves} OUTPUT • Exactly ONE optimal sequence in <answer> only. • Token = <PIECE><DIR><STEPS> (e.g., A>2,B<1,Cv3) • DIR: '<' left, '>' right, '^' up, 'v' d...
[ "C^1", "A>2" ]
[ "C^1,A>2" ]
https://liv.services.ai.azure.com
DeepSeek-R1
2024-05-01-preview
0.3
0.95
0
test
6
{ "output": "<think>\nOkay, let's try to solve this Rush Hour puzzle. The board is 6x6, and the input is \"oBooooBoCoDAACoDoEEooooFF\". The goal is to get car 'A' to the right edge in the optimal number of moves, which I think is given here as 8 moves. Wait, the user mentioned \"Optimum moves {moves}\" but didn't spe...
null
{ "prompt_tokens": 450, "completion_tokens": 900, "total_tokens": 1350 }
idx_50
You are an expert Rush Hour ({N}×{N}) solver. INPUTS • Board (row-major string with 'o','A','B'..'Z', optional 'x') • Board size (e.g., 4×4/5×5/6×6) • Optimum moves {moves} OUTPUT • Exactly ONE optimal sequence in <answer> only. • Token = <PIECE><DIR><STEPS> (e.g., A>2,B<1,Cv3) • DIR: '<' left, '>' right, '^' up, 'v' d...
[ "C^1", "A>2" ]
[ "C^1,A>2" ]
https://liv.services.ai.azure.com
DeepSeek-R1
2024-05-01-preview
0.3
0.95
0
test
7
{ "output": "<think>\nOkay, let's try to solve this Rush Hour puzzle. The board is 6x6, and the input is \"oBooooBoCoDAACoDoEEooooFF\". The goal is to get car 'A' to the right edge in the optimal number of moves, which I think is 8. Let me visualize the board first.\n\nFirst, I need to parse the board string into a 6...
null
{ "prompt_tokens": 450, "completion_tokens": 900, "total_tokens": 1350 }
idx_300
You are an expert Rush Hour ({N}×{N}) solver. INPUTS • Board (row-major string with 'o','A','B'..'Z', optional 'x') • Board size (e.g., 4×4/5×5/6×6) • Optimum moves {moves} OUTPUT • Exactly ONE optimal sequence in <answer> only. • Token = <PIECE><DIR><STEPS> (e.g., A>2,B<1,Cv3) • DIR: '<' left, '>' right, '^' up, 'v' d...
[ "Bv1", "Bv1", "A>2" ]
[ "Bv1,Bv1,A>2" ]
https://liv.services.ai.azure.com
DeepSeek-R1
2024-05-01-preview
0.3
0.95
0
test
6
{ "output": "<think>\nOkay, let's try to solve this Rush Hour puzzle. The board is given as a row-major string: oAABCDEoBCDEoBCDEoooFFGGo, and the size is 6x6. The goal is to get car 'A' to the right edge in the optimal number of moves, which I need to figure out. But the user hasn't specified the exact number of mov...
null
{ "prompt_tokens": 452, "completion_tokens": 900, "total_tokens": 1352 }
idx_54
You are an expert Rush Hour ({N}×{N}) solver. INPUTS • Board (row-major string with 'o','A','B'..'Z', optional 'x') • Board size (e.g., 4×4/5×5/6×6) • Optimum moves {moves} OUTPUT • Exactly ONE optimal sequence in <answer> only. • Token = <PIECE><DIR><STEPS> (e.g., A>2,B<1,Cv3) • DIR: '<' left, '>' right, '^' up, 'v' d...
[ "Bv1", "A>3" ]
[ "Bv1,A>3" ]
https://liv.services.ai.azure.com
DeepSeek-R1
2024-05-01-preview
0.3
0.95
0
test
0
{ "output": "<think>\nOkay, let's try to solve this Rush Hour puzzle. The board is 5x5, and the goal is to get car 'A' to the right edge in the optimal number of moves. The given input is the board as a row-major string: \"AABooCDBooCDoEEoFFFGHHIIG\". First, I need to visualize the board to understand where each car ...
null
{ "prompt_tokens": 453, "completion_tokens": 900, "total_tokens": 1353 }
idx_300
You are an expert Rush Hour ({N}×{N}) solver. INPUTS • Board (row-major string with 'o','A','B'..'Z', optional 'x') • Board size (e.g., 4×4/5×5/6×6) • Optimum moves {moves} OUTPUT • Exactly ONE optimal sequence in <answer> only. • Token = <PIECE><DIR><STEPS> (e.g., A>2,B<1,Cv3) • DIR: '<' left, '>' right, '^' up, 'v' d...
[ "Bv1", "Bv1", "A>2" ]
[ "Bv1,Bv1,A>2" ]
https://liv.services.ai.azure.com
DeepSeek-R1
2024-05-01-preview
0.3
0.95
0
test
7
{ "output": "<think>\nOkay, let's try to solve this Rush Hour puzzle. The board is given as a row-major string, and I need to find the optimal sequence of moves that gets car 'A' to the right edge in the specified number of moves. The example given is for a 4x4 board, but here the size isn't mentioned, but looking at...
null
{ "prompt_tokens": 452, "completion_tokens": 900, "total_tokens": 1352 }
idx_54
You are an expert Rush Hour ({N}×{N}) solver. INPUTS • Board (row-major string with 'o','A','B'..'Z', optional 'x') • Board size (e.g., 4×4/5×5/6×6) • Optimum moves {moves} OUTPUT • Exactly ONE optimal sequence in <answer> only. • Token = <PIECE><DIR><STEPS> (e.g., A>2,B<1,Cv3) • DIR: '<' left, '>' right, '^' up, 'v' d...
[ "Bv1", "A>3" ]
[ "Bv1,A>3" ]
https://liv.services.ai.azure.com
DeepSeek-R1
2024-05-01-preview
0.3
0.95
0
test
1
{ "output": "<think>\nOkay, let's try to solve this Rush Hour puzzle. The board is 5x5, right? The input given is the board as a row-major string: \"AABooCDBooCDoEEoFFFGHHIIG\". The goal is to get the 'A' car to the right edge with the optimal number of moves, which I think is provided here as {moves}, but the user h...
null
{ "prompt_tokens": 453, "completion_tokens": 900, "total_tokens": 1353 }
idx_304
You are an expert Rush Hour ({N}×{N}) solver. INPUTS • Board (row-major string with 'o','A','B'..'Z', optional 'x') • Board size (e.g., 4×4/5×5/6×6) • Optimum moves {moves} OUTPUT • Exactly ONE optimal sequence in <answer> only. • Token = <PIECE><DIR><STEPS> (e.g., A>2,B<1,Cv3) • DIR: '<' left, '>' right, '^' up, 'v' d...
[ "E^1", "G^1", "A>2" ]
[ "E^1,G^1,A>2" ]
https://liv.services.ai.azure.com
DeepSeek-R1
2024-05-01-preview
0.3
0.95
0
test
0
{ "output": "<think>\nOkay, let's try to solve this Rush Hour puzzle. The board is 6x6, and the input is \"BCDooBCDoEFCoGEFAAGEoHHHo\". The goal is to get car 'A' to the right edge in the optimal number of moves, which I think is 8 here. Let me visualize the board first.\n\nFirst, I need to parse the board string int...
null
{ "prompt_tokens": 450, "completion_tokens": 900, "total_tokens": 1350 }
idx_54
You are an expert Rush Hour ({N}×{N}) solver. INPUTS • Board (row-major string with 'o','A','B'..'Z', optional 'x') • Board size (e.g., 4×4/5×5/6×6) • Optimum moves {moves} OUTPUT • Exactly ONE optimal sequence in <answer> only. • Token = <PIECE><DIR><STEPS> (e.g., A>2,B<1,Cv3) • DIR: '<' left, '>' right, '^' up, 'v' d...
[ "Bv1", "A>3" ]
[ "Bv1,A>3" ]
https://liv.services.ai.azure.com
DeepSeek-R1
2024-05-01-preview
0.3
0.95
0
test
2
{ "output": "<think>\nOkay, let's try to solve this Rush Hour puzzle. The board is 5x5, right? The input given is the board as a row-major string: \"AABooCDBooCDoEEoFFFGHHIIG\". The goal is to get car 'A' to the right edge in the optimal number of moves, which I think is 8 here. Let me visualize the board first.\n\nF...
null
{ "prompt_tokens": 453, "completion_tokens": 900, "total_tokens": 1353 }
End of preview. Expand in Data Studio

deepseek-r1-rhour-t03

This dataset repo contains external-model traces used in the Illusion-of-Reasoning analysis.

  • Domain: RHour
  • Model: DeepSeek-R1
  • Target temperature label: 0.3
  • Rows in data.jsonl: 4000
  • Source artifact: /n/fs/similarity/Illusion-of-Reasoning/artifacts/results/deepseek-r1-carpark-azure-500x8-temp03/step0000_test.jsonl

Notes:

  • Full G=8 traces from local artifact root.
  • Rows are uploaded as raw JSONL records from the local analysis artifacts.
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