Dataset Viewer
Auto-converted to Parquet Duplicate
problem_id
stringlengths
14
17
task_type
stringclasses
2 values
prompt
stringlengths
608
6.19k
verification_info
stringlengths
679
11.9k
metadata
stringlengths
17
466
responses
sequencelengths
8
8
response_lens
sequencelengths
8
8
avg_reward
float64
0.03
0.47
null
reasoning_gym
"In front of you are some buttons, a light, and a number. The light will toggle between red and gree(...TRUNCATED)
"{\"reasoning_gym_dataset\": \"quantum_lock\", \"ground_truth\": \"C \\u2192 B \\u2192 C \\u2192 C \(...TRUNCATED)
"{\"source_dataset\": \"quantum_lock\", \"source_index\": 1150, \"solution_path\": [\"C\", \"B\", \"(...TRUNCATED)
[" If there is no solution, return null.\n\nOkay, so I have this problem here where I need to figure(...TRUNCATED)
[ 18000, 13468, 11579, 17741, 2926, 1029, 12132, 11756 ]
0.125
null
reasoning_gym
"In front of you are some buttons, a light, and a number. The light will toggle between red and gree(...TRUNCATED)
"{\"reasoning_gym_dataset\": \"quantum_lock\", \"ground_truth\": \"B \\u2192 C \\u2192 B \\u2192 B \(...TRUNCATED)
"{\"source_dataset\": \"quantum_lock\", \"source_index\": 643, \"solution_path\": [\"B\", \"C\", \"B(...TRUNCATED)
[" If no sequence exists, return null.\n\nOkay, let's tackle this problem step by step. So, I have a(...TRUNCATED)
[ 18000, 7770, 9890, 10581, 18000, 9366, 12506, 10948 ]
0.375
null
reasoning_gym
"In front of you are some buttons, a light, and a number. The light will toggle between red and gree(...TRUNCATED)
"{\"reasoning_gym_dataset\": \"quantum_lock\", \"ground_truth\": \"B \\u2192 A \\u2192 A \\u2192 A \(...TRUNCATED)
"{\"source_dataset\": \"quantum_lock\", \"source_index\": 1094, \"solution_path\": [\"B\", \"A\", \"(...TRUNCATED)
[" If no sequence exists, return null.\n\n<think>\nOkay, so I need to figure out how to get from 0 ((...TRUNCATED)
[ 9489, 14575, 10035, 18000, 15676, 18000, 18000, 18000 ]
0.25
null
reasoning_gym
"In front of you are some buttons, a light, and a number. The light will toggle between red and gree(...TRUNCATED)
"{\"reasoning_gym_dataset\": \"quantum_lock\", \"ground_truth\": \"A \\u2192 B \\u2192 A \\u2192 B \(...TRUNCATED)
"{\"source_dataset\": \"quantum_lock\", \"source_index\": 1113, \"solution_path\": [\"A\", \"B\", \"(...TRUNCATED)
[" If no solution exists, return null.\nOkay, so I'm trying to solve this puzzle where I have to pre(...TRUNCATED)
[ 12217, 18000, 11401, 8616, 11165, 12830, 11103, 18000 ]
0.375
null
reasoning_gym
"In front of you are some buttons, a light, and a number. The light will toggle between red and gree(...TRUNCATED)
"{\"reasoning_gym_dataset\": \"quantum_lock\", \"ground_truth\": \"A \\u2192 A \\u2192 B \\u2192 A \(...TRUNCATED)
"{\"source_dataset\": \"quantum_lock\", \"source_index\": 699, \"solution_path\": [\"A\", \"A\", \"B(...TRUNCATED)
[" If no such sequence exists, return an empty string.\n\nAlright, so I've got this problem here whe(...TRUNCATED)
[ 18000, 18000, 9266, 10105, 9091, 18000, 2733, 7753 ]
0.25
null
reasoning_gym
"In front of you are some buttons, a light, and a number. The light will toggle between red and gree(...TRUNCATED)
"{\"reasoning_gym_dataset\": \"quantum_lock\", \"ground_truth\": \"B \\u2192 B \\u2192 B \\u2192 B \(...TRUNCATED)
"{\"source_dataset\": \"quantum_lock\", \"source_index\": 1365, \"solution_path\": [\"B\", \"B\", \"(...TRUNCATED)
[" If no solution exists, return { \"sequence\": \"No solution.\" }\n\nAlright, let's try to figure (...TRUNCATED)
[ 8918, 14330, 14462, 10947, 18000, 16027, 17777, 18000 ]
0.25
null
reasoning_gym
"In front of you are some buttons, a light, and a number. The light will toggle between red and gree(...TRUNCATED)
"{\"reasoning_gym_dataset\": \"quantum_lock\", \"ground_truth\": \"B \\u2192 A \\u2192 B \\u2192 A \(...TRUNCATED)
"{\"source_dataset\": \"quantum_lock\", \"source_index\": 475, \"solution_path\": [\"B\", \"A\", \"B(...TRUNCATED)
[" If there's no solution, return null.\n</think>\n\nTo solve this problem, we need to determine the(...TRUNCATED)
[ 2721, 18000, 10302, 18000, 14715, 11444, 14390, 13853 ]
0.375
null
reasoning_gym
"In front of you are some buttons, a light, and a number. The light will toggle between red and gree(...TRUNCATED)
"{\"reasoning_gym_dataset\": \"quantum_lock\", \"ground_truth\": \"A \\u2192 A \\u2192 A \\u2192 A \(...TRUNCATED)
"{\"source_dataset\": \"quantum_lock\", \"source_index\": 1709, \"solution_path\": [\"A\", \"A\", \"(...TRUNCATED)
[" If no such sequence exists, return an empty string.\n\nAlright, let me try to figure this out. So(...TRUNCATED)
[ 13263, 18000, 13321, 15115, 1230, 12222, 18000, 18000 ]
0.375
null
reasoning_gym
"In front of you are some buttons, a light, and a number. The light will toggle between red and gree(...TRUNCATED)
"{\"reasoning_gym_dataset\": \"quantum_lock\", \"ground_truth\": \"C \\u2192 B \\u2192 C \\u2192 A \(...TRUNCATED)
"{\"source_dataset\": \"quantum_lock\", \"source_index\": 680, \"solution_path\": [\"C\", \"B\", \"C(...TRUNCATED)
[" The number of buttons pressed must be minimized. If multiple sequences are possible, choose the l(...TRUNCATED)
[ 13285, 12089, 11263, 10450, 9602, 9629, 17319, 8885 ]
0.25
null
reasoning_gym
"In front of you are some buttons, a light, and a number. The light will toggle between red and gree(...TRUNCATED)
"{\"reasoning_gym_dataset\": \"quantum_lock\", \"ground_truth\": \"A \\u2192 A \\u2192 A \\u2192 A \(...TRUNCATED)
"{\"source_dataset\": \"quantum_lock\", \"source_index\": 469, \"solution_path\": [\"A\", \"A\", \"A(...TRUNCATED)
[" If no solution exists, return a json with \"sequence\" as null.\n\nOkay, let's try to figure out (...TRUNCATED)
[ 18000, 9609, 12952, 12745, 13577, 16964, 18000, 13110 ]
0.375
End of preview. Expand in Data Studio
README.md exists but content is empty.
Downloads last month
-