agent_count int64 | agents string | agentverse_metadata string | difficulty string | domain string | edge_count int64 | execution_edges string | has_executor bool | n_solvers int64 | policy string | problem string | rego_output string | scenario_id string | sensitive_keyword_count int64 | sensitive_keywords string | task_id int64 | task_type string | tla_output_dir string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: import math\n\n\ndef poly(xs: list, x: float):\n \"\"\"\n E... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "import math\n\n\ndef poly(xs: list, x: float):\n \"\"\"\n Evaluates polynomial with coefficients xs at point x.\n return xs[0] + xs[1] * x + xs[1] * x^2 + .... xs[n] * x^n\n \"\"\"\n return sum([c... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | import math
def poly(xs: list, x: float):
"""
Evaluates polynomial with coefficients xs at point x.
return xs[0] + xs[1] * x + xs[1] * x^2 + .... xs[n] * x^n
"""
return sum([coeff * math.pow(x, i) for i, coeff in enumerate(xs)])
def find_zero(xs: list):
""" xs are coefficients of a polynomia... | src/policies/agentverse_agentverse_humaneval_task32.rego | agentverse_humaneval_task32 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 32 | HumanEval | spec/agentverse/agentverse_humaneval_task32 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def sort_third(l: list):\n \"\"\"This function takes a list l ... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def sort_third(l: list):\n \"\"\"This function takes a list l and returns a list l' such that\n l' is identical to l in the indicies that are not divisible by three, while its values at the indicies that a... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def sort_third(l: list):
"""This function takes a list l and returns a list l' such that
l' is identical to l in the indicies that are not divisible by three, while its values at the indicies that are divisible by three are equal
to the values of the corresponding indicies of l, but sorted.
>>> sort_thi... | src/policies/agentverse_agentverse_humaneval_task33.rego | agentverse_humaneval_task33 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 33 | HumanEval | spec/agentverse/agentverse_humaneval_task33 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def unique(l: list):\n \"\"\"Return sorted unique elements in ... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def unique(l: list):\n \"\"\"Return sorted unique elements in a list\n >>> unique([5, 3, 5, 2, 3, 3, 9, 0, 123])\n [0, 2, 3, 5, 9, 123]\n \"\"\"\n\n\nFunction signature: unique\nDocstring: \n\ndef un... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def unique(l: list):
"""Return sorted unique elements in a list
>>> unique([5, 3, 5, 2, 3, 3, 9, 0, 123])
[0, 2, 3, 5, 9, 123]
"""
Function signature: unique
Docstring:
def unique(l: list):
"""Return sorted unique elements in a list
>>> unique([5, 3, 5, 2, 3, 3, 9, 0, 123])
[0, 2, 3, 5, ... | src/policies/agentverse_agentverse_humaneval_task34.rego | agentverse_humaneval_task34 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 34 | HumanEval | spec/agentverse/agentverse_humaneval_task34 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def max_element(l: list):\n \"\"\"Return maximum element in th... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def max_element(l: list):\n \"\"\"Return maximum element in the list.\n >>> max_element([1, 2, 3])\n 3\n >>> max_element([5, 3, -5, 2, -3, 3, 9, 0, 123, 1, -10])\n 123\n \"\"\"\n\n\nFunction si... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def max_element(l: list):
"""Return maximum element in the list.
>>> max_element([1, 2, 3])
3
>>> max_element([5, 3, -5, 2, -3, 3, 9, 0, 123, 1, -10])
123
"""
Function signature: max_element
Docstring:
def max_element(l: list):
"""Return maximum element in the list.
>>> max_element([... | src/policies/agentverse_agentverse_humaneval_task35.rego | agentverse_humaneval_task35 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 35 | HumanEval | spec/agentverse/agentverse_humaneval_task35 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def fizz_buzz(n: int):\n \"\"\"Return the number of times the ... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def fizz_buzz(n: int):\n \"\"\"Return the number of times the digit 7 appears in integers less than n which are divisible by 11 or 13.\n >>> fizz_buzz(50)\n 0\n >>> fizz_buzz(78)\n 2\n >>> fizz... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def fizz_buzz(n: int):
"""Return the number of times the digit 7 appears in integers less than n which are divisible by 11 or 13.
>>> fizz_buzz(50)
0
>>> fizz_buzz(78)
2
>>> fizz_buzz(79)
3
"""
Function signature: fizz_buzz
Docstring:
def fizz_buzz(n: int):
"""Return the number o... | src/policies/agentverse_agentverse_humaneval_task36.rego | agentverse_humaneval_task36 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 36 | HumanEval | spec/agentverse/agentverse_humaneval_task36 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def sort_even(l: list):\n \"\"\"This function takes a list l a... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def sort_even(l: list):\n \"\"\"This function takes a list l and returns a list l' such that\n l' is identical to l in the odd indicies, while its values at the even indicies are equal\n to the values o... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def sort_even(l: list):
"""This function takes a list l and returns a list l' such that
l' is identical to l in the odd indicies, while its values at the even indicies are equal
to the values of the even indicies of l, but sorted.
>>> sort_even([1, 2, 3])
[1, 2, 3]
>>> sort_even([5, 6, 3, 4])
... | src/policies/agentverse_agentverse_humaneval_task37.rego | agentverse_humaneval_task37 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 37 | HumanEval | spec/agentverse/agentverse_humaneval_task37 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def encode_cyclic(s: str):\n \"\"\"\n returns encoded strin... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def encode_cyclic(s: str):\n \"\"\"\n returns encoded string by cycling groups of three characters.\n \"\"\"\n # split string to groups. Each of length 3.\n groups = [s[(3 * i):min((3 * i + 3), le... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def encode_cyclic(s: str):
"""
returns encoded string by cycling groups of three characters.
"""
# split string to groups. Each of length 3.
groups = [s[(3 * i):min((3 * i + 3), len(s))] for i in range((len(s) + 2) // 3)]
# cycle elements in each group. Unless group has fewer elements than 3.
... | src/policies/agentverse_agentverse_humaneval_task38.rego | agentverse_humaneval_task38 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 38 | HumanEval | spec/agentverse/agentverse_humaneval_task38 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def prime_fib(n: int):\n \"\"\"\n prime_fib returns n-th nu... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def prime_fib(n: int):\n \"\"\"\n prime_fib returns n-th number that is a Fibonacci number and it's also prime.\n >>> prime_fib(1)\n 2\n >>> prime_fib(2)\n 3\n >>> prime_fib(3)\n 5\n >... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def prime_fib(n: int):
"""
prime_fib returns n-th number that is a Fibonacci number and it's also prime.
>>> prime_fib(1)
2
>>> prime_fib(2)
3
>>> prime_fib(3)
5
>>> prime_fib(4)
13
>>> prime_fib(5)
89
"""
Function signature: prime_fib
Docstring:
def prime_fib(n: ... | src/policies/agentverse_agentverse_humaneval_task39.rego | agentverse_humaneval_task39 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 39 | HumanEval | spec/agentverse/agentverse_humaneval_task39 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: from typing import List\n\n\ndef mean_absolute_deviation(numbers:... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "from typing import List\n\n\ndef mean_absolute_deviation(numbers: List[float]) -> float:\n \"\"\" For a given list of input numbers, calculate Mean Absolute Deviation\n around the mean of this dataset.\n ... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | from typing import List
def mean_absolute_deviation(numbers: List[float]) -> float:
""" For a given list of input numbers, calculate Mean Absolute Deviation
around the mean of this dataset.
Mean Absolute Deviation is the average absolute difference between each
element and a centerpoint (mean in this ... | src/policies/agentverse_agentverse_humaneval_task4.rego | agentverse_humaneval_task4 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 4 | HumanEval | spec/agentverse/agentverse_humaneval_task4 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def triples_sum_to_zero(l: list):\n \"\"\"\n triples_sum_to... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def triples_sum_to_zero(l: list):\n \"\"\"\n triples_sum_to_zero takes a list of integers as an input.\n it returns True if there are three distinct elements in the list that\n sum to zero, and False... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def triples_sum_to_zero(l: list):
"""
triples_sum_to_zero takes a list of integers as an input.
it returns True if there are three distinct elements in the list that
sum to zero, and False otherwise.
>>> triples_sum_to_zero([1, 3, 5, 0])
False
>>> triples_sum_to_zero([1, 3, -2, 1])
True... | src/policies/agentverse_agentverse_humaneval_task40.rego | agentverse_humaneval_task40 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 40 | HumanEval | spec/agentverse/agentverse_humaneval_task40 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def car_race_collision(n: int):\n \"\"\"\n Imagine a road t... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def car_race_collision(n: int):\n \"\"\"\n Imagine a road that's a perfectly straight infinitely long line.\n n cars are driving left to right; simultaneously, a different set of n cars\n are drivin... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def car_race_collision(n: int):
"""
Imagine a road that's a perfectly straight infinitely long line.
n cars are driving left to right; simultaneously, a different set of n cars
are driving right to left. The two sets of cars start out being very far from
each other. All cars move in the same spe... | src/policies/agentverse_agentverse_humaneval_task41.rego | agentverse_humaneval_task41 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 41 | HumanEval | spec/agentverse/agentverse_humaneval_task41 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def incr_list(l: list):\n \"\"\"Return list with elements incr... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def incr_list(l: list):\n \"\"\"Return list with elements incremented by 1.\n >>> incr_list([1, 2, 3])\n [2, 3, 4]\n >>> incr_list([5, 3, 5, 2, 3, 3, 9, 0, 123])\n [6, 4, 6, 3, 4, 4, 10, 1, 124]\n... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def incr_list(l: list):
"""Return list with elements incremented by 1.
>>> incr_list([1, 2, 3])
[2, 3, 4]
>>> incr_list([5, 3, 5, 2, 3, 3, 9, 0, 123])
[6, 4, 6, 3, 4, 4, 10, 1, 124]
"""
Function signature: incr_list
Docstring:
def incr_list(l: list):
"""Return list with elements incremen... | src/policies/agentverse_agentverse_humaneval_task42.rego | agentverse_humaneval_task42 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 42 | HumanEval | spec/agentverse/agentverse_humaneval_task42 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def pairs_sum_to_zero(l):\n \"\"\"\n pairs_sum_to_zero take... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def pairs_sum_to_zero(l):\n \"\"\"\n pairs_sum_to_zero takes a list of integers as an input.\n it returns True if there are two distinct elements in the list that\n sum to zero, and False otherwise.\... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def pairs_sum_to_zero(l):
"""
pairs_sum_to_zero takes a list of integers as an input.
it returns True if there are two distinct elements in the list that
sum to zero, and False otherwise.
>>> pairs_sum_to_zero([1, 3, 5, 0])
False
>>> pairs_sum_to_zero([1, 3, -2, 1])
False
>>> pairs_s... | src/policies/agentverse_agentverse_humaneval_task43.rego | agentverse_humaneval_task43 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 43 | HumanEval | spec/agentverse/agentverse_humaneval_task43 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def change_base(x: int, base: int):\n \"\"\"Change numerical b... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def change_base(x: int, base: int):\n \"\"\"Change numerical base of input number x to base.\n return string representation after the conversion.\n base numbers are less than 10.\n >>> change_base(8,... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def change_base(x: int, base: int):
"""Change numerical base of input number x to base.
return string representation after the conversion.
base numbers are less than 10.
>>> change_base(8, 3)
'22'
>>> change_base(8, 2)
'1000'
>>> change_base(7, 2)
'111'
"""
Function signature: ... | src/policies/agentverse_agentverse_humaneval_task44.rego | agentverse_humaneval_task44 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 44 | HumanEval | spec/agentverse/agentverse_humaneval_task44 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def triangle_area(a, h):\n \"\"\"Given length of a side and hi... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def triangle_area(a, h):\n \"\"\"Given length of a side and high return area for a triangle.\n >>> triangle_area(5, 3)\n 7.5\n \"\"\"\n\n\nFunction signature: triangle_area\nDocstring: \n\ndef triang... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def triangle_area(a, h):
"""Given length of a side and high return area for a triangle.
>>> triangle_area(5, 3)
7.5
"""
Function signature: triangle_area
Docstring:
def triangle_area(a, h):
"""Given length of a side and high return area for a triangle.
>>> triangle_area(5, 3)
7.5
""" | src/policies/agentverse_agentverse_humaneval_task45.rego | agentverse_humaneval_task45 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 45 | HumanEval | spec/agentverse/agentverse_humaneval_task45 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def fib4(n: int):\n \"\"\"The Fib4 number sequence is a sequen... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def fib4(n: int):\n \"\"\"The Fib4 number sequence is a sequence similar to the Fibbonacci sequnece that's defined as follows:\n fib4(0) -> 0\n fib4(1) -> 0\n fib4(2) -> 2\n fib4(3) -> 0\n fib4... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def fib4(n: int):
"""The Fib4 number sequence is a sequence similar to the Fibbonacci sequnece that's defined as follows:
fib4(0) -> 0
fib4(1) -> 0
fib4(2) -> 2
fib4(3) -> 0
fib4(n) -> fib4(n-1) + fib4(n-2) + fib4(n-3) + fib4(n-4).
Please write a function to efficiently compute the n-th elem... | src/policies/agentverse_agentverse_humaneval_task46.rego | agentverse_humaneval_task46 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 46 | HumanEval | spec/agentverse/agentverse_humaneval_task46 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def median(l: list):\n \"\"\"Return median of elements in the ... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def median(l: list):\n \"\"\"Return median of elements in the list l.\n >>> median([3, 1, 2, 4, 5])\n 3\n >>> median([-10, 4, 6, 1000, 10, 20])\n 15.0\n \"\"\"\n\n\nFunction signature: median\n... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def median(l: list):
"""Return median of elements in the list l.
>>> median([3, 1, 2, 4, 5])
3
>>> median([-10, 4, 6, 1000, 10, 20])
15.0
"""
Function signature: median
Docstring:
def median(l: list):
"""Return median of elements in the list l.
>>> median([3, 1, 2, 4, 5])
3
>... | src/policies/agentverse_agentverse_humaneval_task47.rego | agentverse_humaneval_task47 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 47 | HumanEval | spec/agentverse/agentverse_humaneval_task47 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def is_palindrome(text: str):\n \"\"\"\n Checks if given st... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def is_palindrome(text: str):\n \"\"\"\n Checks if given string is a palindrome\n >>> is_palindrome('')\n True\n >>> is_palindrome('aba')\n True\n >>> is_palindrome('aaaaa')\n True\n >... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def is_palindrome(text: str):
"""
Checks if given string is a palindrome
>>> is_palindrome('')
True
>>> is_palindrome('aba')
True
>>> is_palindrome('aaaaa')
True
>>> is_palindrome('zbcd')
False
"""
Function signature: is_palindrome
Docstring:
def is_palindrome(text: str):... | src/policies/agentverse_agentverse_humaneval_task48.rego | agentverse_humaneval_task48 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 48 | HumanEval | spec/agentverse/agentverse_humaneval_task48 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def modp(n: int, p: int):\n \"\"\"Return 2^n modulo p (be awar... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def modp(n: int, p: int):\n \"\"\"Return 2^n modulo p (be aware of numerics).\n >>> modp(3, 5)\n 3\n >>> modp(1101, 101)\n 2\n >>> modp(0, 101)\n 1\n >>> modp(3, 11)\n 8\n >>> modp(... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def modp(n: int, p: int):
"""Return 2^n modulo p (be aware of numerics).
>>> modp(3, 5)
3
>>> modp(1101, 101)
2
>>> modp(0, 101)
1
>>> modp(3, 11)
8
>>> modp(100, 101)
1
"""
Function signature: modp
Docstring:
def modp(n: int, p: int):
"""Return 2^n modulo p (be a... | src/policies/agentverse_agentverse_humaneval_task49.rego | agentverse_humaneval_task49 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 49 | HumanEval | spec/agentverse/agentverse_humaneval_task49 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: from typing import List\n\n\ndef intersperse(numbers: List[int], ... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "from typing import List\n\n\ndef intersperse(numbers: List[int], delimeter: int) -> List[int]:\n \"\"\" Insert a number 'delimeter' between every two consecutive elements of input list `numbers'\n >>> inte... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | from typing import List
def intersperse(numbers: List[int], delimeter: int) -> List[int]:
""" Insert a number 'delimeter' between every two consecutive elements of input list `numbers'
>>> intersperse([], 4)
[]
>>> intersperse([1, 2, 3], 4)
[1, 4, 2, 4, 3]
"""
Function signature: intersperse... | src/policies/agentverse_agentverse_humaneval_task5.rego | agentverse_humaneval_task5 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 5 | HumanEval | spec/agentverse/agentverse_humaneval_task5 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def encode_shift(s: str):\n \"\"\"\n returns encoded string... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def encode_shift(s: str):\n \"\"\"\n returns encoded string by shifting every character by 5 in the alphabet.\n \"\"\"\n return \"\".join([chr(((ord(ch) + 5 - ord(\"a\")) % 26) + ord(\"a\")) for ch i... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def encode_shift(s: str):
"""
returns encoded string by shifting every character by 5 in the alphabet.
"""
return "".join([chr(((ord(ch) + 5 - ord("a")) % 26) + ord("a")) for ch in s])
def decode_shift(s: str):
"""
takes as input string encoded with encode_shift function. Returns decoded strin... | src/policies/agentverse_agentverse_humaneval_task50.rego | agentverse_humaneval_task50 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 50 | HumanEval | spec/agentverse/agentverse_humaneval_task50 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def remove_vowels(text):\n \"\"\"\n remove_vowels is a func... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def remove_vowels(text):\n \"\"\"\n remove_vowels is a function that takes string and returns string without vowels.\n >>> remove_vowels('')\n ''\n >>> remove_vowels(\"abcdef\\nghijklm\")\n 'bc... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def remove_vowels(text):
"""
remove_vowels is a function that takes string and returns string without vowels.
>>> remove_vowels('')
''
>>> remove_vowels("abcdef\nghijklm")
'bcdf\nghjklm'
>>> remove_vowels('abcdef')
'bcdf'
>>> remove_vowels('aaaaa')
''
>>> remove_vowels('aaBAA... | src/policies/agentverse_agentverse_humaneval_task51.rego | agentverse_humaneval_task51 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 51 | HumanEval | spec/agentverse/agentverse_humaneval_task51 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def below_threshold(l: list, t: int):\n \"\"\"Return True if a... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def below_threshold(l: list, t: int):\n \"\"\"Return True if all numbers in the list l are below threshold t.\n >>> below_threshold([1, 2, 4, 10], 100)\n True\n >>> below_threshold([1, 20, 4, 10], 5)... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def below_threshold(l: list, t: int):
"""Return True if all numbers in the list l are below threshold t.
>>> below_threshold([1, 2, 4, 10], 100)
True
>>> below_threshold([1, 20, 4, 10], 5)
False
"""
Function signature: below_threshold
Docstring:
def below_threshold(l: list, t: int):
"""R... | src/policies/agentverse_agentverse_humaneval_task52.rego | agentverse_humaneval_task52 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 52 | HumanEval | spec/agentverse/agentverse_humaneval_task52 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def add(x: int, y: int):\n \"\"\"Add two numbers x and y\n ... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def add(x: int, y: int):\n \"\"\"Add two numbers x and y\n >>> add(2, 3)\n 5\n >>> add(5, 7)\n 12\n \"\"\"\n\n\nFunction signature: add\nDocstring: \n\ndef add(x: int, y: int):\n \"\"\"Add t... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def add(x: int, y: int):
"""Add two numbers x and y
>>> add(2, 3)
5
>>> add(5, 7)
12
"""
Function signature: add
Docstring:
def add(x: int, y: int):
"""Add two numbers x and y
>>> add(2, 3)
5
>>> add(5, 7)
12
""" | src/policies/agentverse_agentverse_humaneval_task53.rego | agentverse_humaneval_task53 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 53 | HumanEval | spec/agentverse/agentverse_humaneval_task53 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def same_chars(s0: str, s1: str):\n \"\"\"\n Check if two w... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def same_chars(s0: str, s1: str):\n \"\"\"\n Check if two words have the same characters.\n >>> same_chars('eabcdzzzz', 'dddzzzzzzzddeddabc')\n True\n >>> same_chars('abcd', 'dddddddabc')\n Tru... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def same_chars(s0: str, s1: str):
"""
Check if two words have the same characters.
>>> same_chars('eabcdzzzz', 'dddzzzzzzzddeddabc')
True
>>> same_chars('abcd', 'dddddddabc')
True
>>> same_chars('dddddddabc', 'abcd')
True
>>> same_chars('eabcd', 'dddddddabc')
False
>>> same_c... | src/policies/agentverse_agentverse_humaneval_task54.rego | agentverse_humaneval_task54 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 54 | HumanEval | spec/agentverse/agentverse_humaneval_task54 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def fib(n: int):\n \"\"\"Return n-th Fibonacci number.\n >>... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def fib(n: int):\n \"\"\"Return n-th Fibonacci number.\n >>> fib(10)\n 55\n >>> fib(1)\n 1\n >>> fib(8)\n 21\n \"\"\"\n\n\nFunction signature: fib\nDocstring: \n\ndef fib(n: int):\n \"... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def fib(n: int):
"""Return n-th Fibonacci number.
>>> fib(10)
55
>>> fib(1)
1
>>> fib(8)
21
"""
Function signature: fib
Docstring:
def fib(n: int):
"""Return n-th Fibonacci number.
>>> fib(10)
55
>>> fib(1)
1
>>> fib(8)
21
""" | src/policies/agentverse_agentverse_humaneval_task55.rego | agentverse_humaneval_task55 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 55 | HumanEval | spec/agentverse/agentverse_humaneval_task55 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def correct_bracketing(brackets: str):\n \"\"\" brackets is a ... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def correct_bracketing(brackets: str):\n \"\"\" brackets is a string of \"<\" and \">\".\n return True if every opening bracket has a corresponding closing bracket.\n\n >>> correct_bracketing(\"<\")\n ... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def correct_bracketing(brackets: str):
""" brackets is a string of "<" and ">".
return True if every opening bracket has a corresponding closing bracket.
>>> correct_bracketing("<")
False
>>> correct_bracketing("<>")
True
>>> correct_bracketing("<<><>>")
True
>>> correct_bracketing(... | src/policies/agentverse_agentverse_humaneval_task56.rego | agentverse_humaneval_task56 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 56 | HumanEval | spec/agentverse/agentverse_humaneval_task56 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def monotonic(l: list):\n \"\"\"Return True is list elements a... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def monotonic(l: list):\n \"\"\"Return True is list elements are monotonically increasing or decreasing.\n >>> monotonic([1, 2, 4, 20])\n True\n >>> monotonic([1, 20, 4, 10])\n False\n >>> mono... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def monotonic(l: list):
"""Return True is list elements are monotonically increasing or decreasing.
>>> monotonic([1, 2, 4, 20])
True
>>> monotonic([1, 20, 4, 10])
False
>>> monotonic([4, 1, 0, -10])
True
"""
Function signature: monotonic
Docstring:
def monotonic(l: list):
"""Ret... | src/policies/agentverse_agentverse_humaneval_task57.rego | agentverse_humaneval_task57 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 57 | HumanEval | spec/agentverse/agentverse_humaneval_task57 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def common(l1: list, l2: list):\n \"\"\"Return sorted unique c... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def common(l1: list, l2: list):\n \"\"\"Return sorted unique common elements for two lists.\n >>> common([1, 4, 3, 34, 653, 2, 5], [5, 7, 1, 5, 9, 653, 121])\n [1, 5, 653]\n >>> common([5, 3, 2, 8], ... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def common(l1: list, l2: list):
"""Return sorted unique common elements for two lists.
>>> common([1, 4, 3, 34, 653, 2, 5], [5, 7, 1, 5, 9, 653, 121])
[1, 5, 653]
>>> common([5, 3, 2, 8], [3, 2])
[2, 3]
"""
Function signature: common
Docstring:
def common(l1: list, l2: list):
"""Return ... | src/policies/agentverse_agentverse_humaneval_task58.rego | agentverse_humaneval_task58 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 58 | HumanEval | spec/agentverse/agentverse_humaneval_task58 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def largest_prime_factor(n: int):\n \"\"\"Return the largest p... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def largest_prime_factor(n: int):\n \"\"\"Return the largest prime factor of n. Assume n > 1 and is not a prime.\n >>> largest_prime_factor(13195)\n 29\n >>> largest_prime_factor(2048)\n 2\n \"... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def largest_prime_factor(n: int):
"""Return the largest prime factor of n. Assume n > 1 and is not a prime.
>>> largest_prime_factor(13195)
29
>>> largest_prime_factor(2048)
2
"""
Function signature: largest_prime_factor
Docstring:
def largest_prime_factor(n: int):
"""Return the largest ... | src/policies/agentverse_agentverse_humaneval_task59.rego | agentverse_humaneval_task59 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 59 | HumanEval | spec/agentverse/agentverse_humaneval_task59 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: from typing import List\n\n\ndef parse_nested_parens(paren_string... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "from typing import List\n\n\ndef parse_nested_parens(paren_string: str) -> List[int]:\n \"\"\" Input to this function is a string represented multiple groups for nested parentheses separated by spaces.\n F... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | from typing import List
def parse_nested_parens(paren_string: str) -> List[int]:
""" Input to this function is a string represented multiple groups for nested parentheses separated by spaces.
For each of the group, output the deepest level of nesting of parentheses.
E.g. (()()) has maximum two levels of n... | src/policies/agentverse_agentverse_humaneval_task6.rego | agentverse_humaneval_task6 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 6 | HumanEval | spec/agentverse/agentverse_humaneval_task6 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def sum_to_n(n: int):\n \"\"\"sum_to_n is a function that sums... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def sum_to_n(n: int):\n \"\"\"sum_to_n is a function that sums numbers from 1 to n.\n >>> sum_to_n(30)\n 465\n >>> sum_to_n(100)\n 5050\n >>> sum_to_n(5)\n 15\n >>> sum_to_n(10)\n 55\n... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def sum_to_n(n: int):
"""sum_to_n is a function that sums numbers from 1 to n.
>>> sum_to_n(30)
465
>>> sum_to_n(100)
5050
>>> sum_to_n(5)
15
>>> sum_to_n(10)
55
>>> sum_to_n(1)
1
"""
Function signature: sum_to_n
Docstring:
def sum_to_n(n: int):
"""sum_to_n is a f... | src/policies/agentverse_agentverse_humaneval_task60.rego | agentverse_humaneval_task60 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 60 | HumanEval | spec/agentverse/agentverse_humaneval_task60 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def correct_bracketing(brackets: str):\n \"\"\" brackets is a ... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def correct_bracketing(brackets: str):\n \"\"\" brackets is a string of \"(\" and \")\".\n return True if every opening bracket has a corresponding closing bracket.\n\n >>> correct_bracketing(\"(\")\n ... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def correct_bracketing(brackets: str):
""" brackets is a string of "(" and ")".
return True if every opening bracket has a corresponding closing bracket.
>>> correct_bracketing("(")
False
>>> correct_bracketing("()")
True
>>> correct_bracketing("(()())")
True
>>> correct_bracketing(... | src/policies/agentverse_agentverse_humaneval_task61.rego | agentverse_humaneval_task61 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 61 | HumanEval | spec/agentverse/agentverse_humaneval_task61 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def derivative(xs: list):\n \"\"\" xs represent coefficients o... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def derivative(xs: list):\n \"\"\" xs represent coefficients of a polynomial.\n xs[0] + xs[1] * x + xs[2] * x^2 + ....\n Return derivative of this polynomial in the same form.\n >>> derivative([3, 1... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def derivative(xs: list):
""" xs represent coefficients of a polynomial.
xs[0] + xs[1] * x + xs[2] * x^2 + ....
Return derivative of this polynomial in the same form.
>>> derivative([3, 1, 2, 4, 5])
[1, 4, 12, 20]
>>> derivative([1, 2, 3])
[2, 6]
"""
Function signature: derivative
Doc... | src/policies/agentverse_agentverse_humaneval_task62.rego | agentverse_humaneval_task62 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 62 | HumanEval | spec/agentverse/agentverse_humaneval_task62 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def fibfib(n: int):\n \"\"\"The FibFib number sequence is a se... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def fibfib(n: int):\n \"\"\"The FibFib number sequence is a sequence similar to the Fibbonacci sequnece that's defined as follows:\n fibfib(0) == 0\n fibfib(1) == 0\n fibfib(2) == 1\n fibfib(n) ==... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def fibfib(n: int):
"""The FibFib number sequence is a sequence similar to the Fibbonacci sequnece that's defined as follows:
fibfib(0) == 0
fibfib(1) == 0
fibfib(2) == 1
fibfib(n) == fibfib(n-1) + fibfib(n-2) + fibfib(n-3).
Please write a function to efficiently compute the n-th element of the ... | src/policies/agentverse_agentverse_humaneval_task63.rego | agentverse_humaneval_task63 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 63 | HumanEval | spec/agentverse/agentverse_humaneval_task63 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: FIX = \"\"\"\nAdd more test cases.\n\"\"\"\n\ndef vowels_count(s)... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "FIX = \"\"\"\nAdd more test cases.\n\"\"\"\n\ndef vowels_count(s):\n \"\"\"Write a function vowels_count which takes a string representing\n a word as input and returns the number of vowels in the string.\... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | FIX = """
Add more test cases.
"""
def vowels_count(s):
"""Write a function vowels_count which takes a string representing
a word as input and returns the number of vowels in the string.
Vowels in this case are 'a', 'e', 'i', 'o', 'u'. Here, 'y' is also a
vowel, but only when it is at the end of the gi... | src/policies/agentverse_agentverse_humaneval_task64.rego | agentverse_humaneval_task64 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 64 | HumanEval | spec/agentverse/agentverse_humaneval_task64 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def circular_shift(x, shift):\n \"\"\"Circular shift the digit... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def circular_shift(x, shift):\n \"\"\"Circular shift the digits of the integer x, shift the digits right by shift\n and return the result as a string.\n If shift > number of digits, return digits revers... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def circular_shift(x, shift):
"""Circular shift the digits of the integer x, shift the digits right by shift
and return the result as a string.
If shift > number of digits, return digits reversed.
>>> circular_shift(12, 1)
"21"
>>> circular_shift(12, 2)
"12"
"""
Function signature: cir... | src/policies/agentverse_agentverse_humaneval_task65.rego | agentverse_humaneval_task65 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 65 | HumanEval | spec/agentverse/agentverse_humaneval_task65 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def digitSum(s):\n \"\"\"Task\n Write a function that takes... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def digitSum(s):\n \"\"\"Task\n Write a function that takes a string as input and returns the sum of the upper characters only'\n ASCII codes.\n\n Examples:\n digitSum(\"\") => 0\n digi... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def digitSum(s):
"""Task
Write a function that takes a string as input and returns the sum of the upper characters only'
ASCII codes.
Examples:
digitSum("") => 0
digitSum("abAB") => 131
digitSum("abcCd") => 67
digitSum("helloE") => 69
digitSum("woArBld") => 131
... | src/policies/agentverse_agentverse_humaneval_task66.rego | agentverse_humaneval_task66 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 66 | HumanEval | spec/agentverse/agentverse_humaneval_task66 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def fruit_distribution(s,n):\n \"\"\"\n In this task, you w... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def fruit_distribution(s,n):\n \"\"\"\n In this task, you will be given a string that represents a number of apples and oranges \n that are distributed in a basket of fruit this basket contains \n ap... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def fruit_distribution(s,n):
"""
In this task, you will be given a string that represents a number of apples and oranges
that are distributed in a basket of fruit this basket contains
apples, oranges, and mango fruits. Given the string that represents the total number of
the oranges and apples an... | src/policies/agentverse_agentverse_humaneval_task67.rego | agentverse_humaneval_task67 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 67 | HumanEval | spec/agentverse/agentverse_humaneval_task67 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def pluck(arr):\n \"\"\"\n \"Given an array representing a ... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def pluck(arr):\n \"\"\"\n \"Given an array representing a branch of a tree that has non-negative integer nodes\n your task is to pluck one of the nodes and return it.\n The plucked node should be th... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def pluck(arr):
"""
"Given an array representing a branch of a tree that has non-negative integer nodes
your task is to pluck one of the nodes and return it.
The plucked node should be the node with the smallest even value.
If multiple nodes with the same smallest even value are found return the nod... | src/policies/agentverse_agentverse_humaneval_task68.rego | agentverse_humaneval_task68 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 68 | HumanEval | spec/agentverse/agentverse_humaneval_task68 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def search(lst):\n '''\n You are given a non-empty list of ... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def search(lst):\n '''\n You are given a non-empty list of positive integers. Return the greatest integer that is greater than \n zero, and has a frequency greater than or equal to the value of the inte... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def search(lst):
'''
You are given a non-empty list of positive integers. Return the greatest integer that is greater than
zero, and has a frequency greater than or equal to the value of the integer itself.
The frequency of an integer is the number of times it appears in the list.
If no such a val... | src/policies/agentverse_agentverse_humaneval_task69.rego | agentverse_humaneval_task69 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 69 | HumanEval | spec/agentverse/agentverse_humaneval_task69 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: from typing import List\n\n\ndef filter_by_substring(strings: Lis... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "from typing import List\n\n\ndef filter_by_substring(strings: List[str], substring: str) -> List[str]:\n \"\"\" Filter an input list of strings only for ones that contain given substring\n >>> filter_by_su... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | from typing import List
def filter_by_substring(strings: List[str], substring: str) -> List[str]:
""" Filter an input list of strings only for ones that contain given substring
>>> filter_by_substring([], 'a')
[]
>>> filter_by_substring(['abc', 'bacd', 'cde', 'array'], 'a')
['abc', 'bacd', 'array'... | src/policies/agentverse_agentverse_humaneval_task7.rego | agentverse_humaneval_task7 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 7 | HumanEval | spec/agentverse/agentverse_humaneval_task7 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def strange_sort_list(lst):\n '''\n Given list of integers,... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def strange_sort_list(lst):\n '''\n Given list of integers, return list in strange order.\n Strange sorting, is when you start with the minimum value,\n then maximum of the remaining integers, then m... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def strange_sort_list(lst):
'''
Given list of integers, return list in strange order.
Strange sorting, is when you start with the minimum value,
then maximum of the remaining integers, then minimum and so on.
Examples:
strange_sort_list([1, 2, 3, 4]) == [1, 4, 2, 3]
strange_sort_list([5, 5,... | src/policies/agentverse_agentverse_humaneval_task70.rego | agentverse_humaneval_task70 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 70 | HumanEval | spec/agentverse/agentverse_humaneval_task70 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def triangle_area(a, b, c):\n '''\n Given the lengths of th... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def triangle_area(a, b, c):\n '''\n Given the lengths of the three sides of a triangle. Return the area of\n the triangle rounded to 2 decimal points if the three sides form a valid triangle. \n Othe... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def triangle_area(a, b, c):
'''
Given the lengths of the three sides of a triangle. Return the area of
the triangle rounded to 2 decimal points if the three sides form a valid triangle.
Otherwise return -1
Three sides make a valid triangle when the sum of any two sides is greater
than the thir... | src/policies/agentverse_agentverse_humaneval_task71.rego | agentverse_humaneval_task71 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 71 | HumanEval | spec/agentverse/agentverse_humaneval_task71 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def will_it_fly(q,w):\n '''\n Write a function that returns... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def will_it_fly(q,w):\n '''\n Write a function that returns True if the object q will fly, and False otherwise.\n The object q will fly if it's balanced (it is a palindromic list) and the sum of its ele... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def will_it_fly(q,w):
'''
Write a function that returns True if the object q will fly, and False otherwise.
The object q will fly if it's balanced (it is a palindromic list) and the sum of its elements is less than or equal the maximum possible weight w.
Example:
will_it_fly([1, 2], 5) ➞ False
... | src/policies/agentverse_agentverse_humaneval_task72.rego | agentverse_humaneval_task72 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 72 | HumanEval | spec/agentverse/agentverse_humaneval_task72 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def smallest_change(arr):\n \"\"\"\n Given an array arr of ... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def smallest_change(arr):\n \"\"\"\n Given an array arr of integers, find the minimum number of elements that\n need to be changed to make the array palindromic. A palindromic array is an array that\n ... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def smallest_change(arr):
"""
Given an array arr of integers, find the minimum number of elements that
need to be changed to make the array palindromic. A palindromic array is an array that
is read the same backwards and forwards. In one change, you can change one element to any other element.
For ... | src/policies/agentverse_agentverse_humaneval_task73.rego | agentverse_humaneval_task73 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 73 | HumanEval | spec/agentverse/agentverse_humaneval_task73 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def total_match(lst1, lst2):\n '''\n Write a function that ... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def total_match(lst1, lst2):\n '''\n Write a function that accepts two lists of strings and returns the list that has \n total number of chars in the all strings of the list less than the other list.\n\... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def total_match(lst1, lst2):
'''
Write a function that accepts two lists of strings and returns the list that has
total number of chars in the all strings of the list less than the other list.
if the two lists have the same number of chars, return the first list.
Examples
total_match([], []) ... | src/policies/agentverse_agentverse_humaneval_task74.rego | agentverse_humaneval_task74 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 74 | HumanEval | spec/agentverse/agentverse_humaneval_task74 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def is_multiply_prime(a):\n \"\"\"Write a function that return... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def is_multiply_prime(a):\n \"\"\"Write a function that returns true if the given number is the multiplication of 3 prime numbers\n and false otherwise.\n Knowing that (a) is less then 100. \n Exampl... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def is_multiply_prime(a):
"""Write a function that returns true if the given number is the multiplication of 3 prime numbers
and false otherwise.
Knowing that (a) is less then 100.
Example:
is_multiply_prime(30) == True
30 = 2 * 3 * 5
"""
Function signature: is_multiply_prime
Docstring:
... | src/policies/agentverse_agentverse_humaneval_task75.rego | agentverse_humaneval_task75 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 75 | HumanEval | spec/agentverse/agentverse_humaneval_task75 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def is_simple_power(x, n):\n \"\"\"Your task is to write a fun... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def is_simple_power(x, n):\n \"\"\"Your task is to write a function that returns true if a number x is a simple\n power of n and false in other cases.\n x is a simple power of n if n**int=x\n For exa... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def is_simple_power(x, n):
"""Your task is to write a function that returns true if a number x is a simple
power of n and false in other cases.
x is a simple power of n if n**int=x
For example:
is_simple_power(1, 4) => true
is_simple_power(2, 2) => true
is_simple_power(8, 2) => true
is_s... | src/policies/agentverse_agentverse_humaneval_task76.rego | agentverse_humaneval_task76 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 76 | HumanEval | spec/agentverse/agentverse_humaneval_task76 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def iscube(a):\n '''\n Write a function that takes an integ... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def iscube(a):\n '''\n Write a function that takes an integer a and returns True \n if this ingeger is a cube of some integer number.\n Note: you may assume the input is always valid.\n Examples:\... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def iscube(a):
'''
Write a function that takes an integer a and returns True
if this ingeger is a cube of some integer number.
Note: you may assume the input is always valid.
Examples:
iscube(1) ==> True
iscube(2) ==> False
iscube(-1) ==> True
iscube(64) ==> True
iscube(0) ==> T... | src/policies/agentverse_agentverse_humaneval_task77.rego | agentverse_humaneval_task77 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 77 | HumanEval | spec/agentverse/agentverse_humaneval_task77 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def hex_key(num):\n \"\"\"You have been tasked to write a func... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def hex_key(num):\n \"\"\"You have been tasked to write a function that receives \n a hexadecimal number as a string and counts the number of hexadecimal \n digits that are primes (prime number, or a pr... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def hex_key(num):
"""You have been tasked to write a function that receives
a hexadecimal number as a string and counts the number of hexadecimal
digits that are primes (prime number, or a prime, is a natural number
greater than 1 that is not a product of two smaller natural numbers).
Hexadecimal... | src/policies/agentverse_agentverse_humaneval_task78.rego | agentverse_humaneval_task78 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 78 | HumanEval | spec/agentverse/agentverse_humaneval_task78 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def decimal_to_binary(decimal):\n \"\"\"You will be given a nu... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def decimal_to_binary(decimal):\n \"\"\"You will be given a number in decimal form and your task is to convert it to\n binary format. The function should return a string, with each character representing a... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def decimal_to_binary(decimal):
"""You will be given a number in decimal form and your task is to convert it to
binary format. The function should return a string, with each character representing a binary
number. Each character in the string will be '0' or '1'.
There will be an extra couple of charact... | src/policies/agentverse_agentverse_humaneval_task79.rego | agentverse_humaneval_task79 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 79 | HumanEval | spec/agentverse/agentverse_humaneval_task79 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: from typing import List, Tuple\n\n\ndef sum_product(numbers: List... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "from typing import List, Tuple\n\n\ndef sum_product(numbers: List[int]) -> Tuple[int, int]:\n \"\"\" For a given list of integers, return a tuple consisting of a sum and a product of all the integers in a lis... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | from typing import List, Tuple
def sum_product(numbers: List[int]) -> Tuple[int, int]:
""" For a given list of integers, return a tuple consisting of a sum and a product of all the integers in a list.
Empty sum should be equal to 0 and empty product should be equal to 1.
>>> sum_product([])
(0, 1)
... | src/policies/agentverse_agentverse_humaneval_task8.rego | agentverse_humaneval_task8 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 8 | HumanEval | spec/agentverse/agentverse_humaneval_task8 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def is_happy(s):\n \"\"\"You are given a string s.\n Your t... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def is_happy(s):\n \"\"\"You are given a string s.\n Your task is to check if the string is happy or not.\n A string is happy if its length is at least 3 and every 3 consecutive letters are distinct\n ... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def is_happy(s):
"""You are given a string s.
Your task is to check if the string is happy or not.
A string is happy if its length is at least 3 and every 3 consecutive letters are distinct
For example:
is_happy(a) => False
is_happy(aa) => False
is_happy(abcd) => True
is_happy(aabb) => F... | src/policies/agentverse_agentverse_humaneval_task80.rego | agentverse_humaneval_task80 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 80 | HumanEval | spec/agentverse/agentverse_humaneval_task80 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def numerical_letter_grade(grades):\n \"\"\"It is the last wee... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def numerical_letter_grade(grades):\n \"\"\"It is the last week of the semester and the teacher has to give the grades\n to students. The teacher has been making her own algorithm for grading.\n The onl... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def numerical_letter_grade(grades):
"""It is the last week of the semester and the teacher has to give the grades
to students. The teacher has been making her own algorithm for grading.
The only problem is, she has lost the code she used for grading.
She has given you a list of GPAs for some students an... | src/policies/agentverse_agentverse_humaneval_task81.rego | agentverse_humaneval_task81 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 81 | HumanEval | spec/agentverse/agentverse_humaneval_task81 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def prime_length(string):\n \"\"\"Write a function that takes ... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def prime_length(string):\n \"\"\"Write a function that takes a string and returns True if the string\n length is a prime number or False otherwise\n Examples\n prime_length('Hello') == True\n pri... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def prime_length(string):
"""Write a function that takes a string and returns True if the string
length is a prime number or False otherwise
Examples
prime_length('Hello') == True
prime_length('abcdcba') == True
prime_length('kittens') == True
prime_length('orange') == False
"""
Functi... | src/policies/agentverse_agentverse_humaneval_task82.rego | agentverse_humaneval_task82 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 82 | HumanEval | spec/agentverse/agentverse_humaneval_task82 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def starts_one_ends(n):\n \"\"\"\n Given a positive integer... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def starts_one_ends(n):\n \"\"\"\n Given a positive integer n, return the count of the numbers of n-digit\n positive integers that start or end with 1.\n \"\"\"\n\n\nFunction signature: starts_one_en... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def starts_one_ends(n):
"""
Given a positive integer n, return the count of the numbers of n-digit
positive integers that start or end with 1.
"""
Function signature: starts_one_ends
Docstring:
def starts_one_ends(n):
"""
Given a positive integer n, return the count of the numbers of n-digit
... | src/policies/agentverse_agentverse_humaneval_task83.rego | agentverse_humaneval_task83 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 83 | HumanEval | spec/agentverse/agentverse_humaneval_task83 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def solve(N):\n \"\"\"Given a positive integer N, return the t... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def solve(N):\n \"\"\"Given a positive integer N, return the total sum of its digits in binary.\n \n Example\n For N = 1000, the sum of digits will be 1 the output should be \"1\".\n For N... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def solve(N):
"""Given a positive integer N, return the total sum of its digits in binary.
Example
For N = 1000, the sum of digits will be 1 the output should be "1".
For N = 150, the sum of digits will be 6 the output should be "110".
For N = 147, the sum of digits will be 12 the o... | src/policies/agentverse_agentverse_humaneval_task84.rego | agentverse_humaneval_task84 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 84 | HumanEval | spec/agentverse/agentverse_humaneval_task84 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def add(lst):\n \"\"\"Given a non-empty list of integers lst. ... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def add(lst):\n \"\"\"Given a non-empty list of integers lst. add the even elements that are at odd indices..\n\n\n Examples:\n add([4, 2, 6, 7]) ==> 2 \n \"\"\"\n\n\nFunction signature: add\nDoc... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def add(lst):
"""Given a non-empty list of integers lst. add the even elements that are at odd indices..
Examples:
add([4, 2, 6, 7]) ==> 2
"""
Function signature: add
Docstring:
def add(lst):
"""Given a non-empty list of integers lst. add the even elements that are at odd indices..
E... | src/policies/agentverse_agentverse_humaneval_task85.rego | agentverse_humaneval_task85 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 85 | HumanEval | spec/agentverse/agentverse_humaneval_task85 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def anti_shuffle(s):\n \"\"\"\n Write a function that takes... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def anti_shuffle(s):\n \"\"\"\n Write a function that takes a string and returns an ordered version of it.\n Ordered version of string, is a string where all words (separated by space)\n are replaced... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def anti_shuffle(s):
"""
Write a function that takes a string and returns an ordered version of it.
Ordered version of string, is a string where all words (separated by space)
are replaced by a new word where all the characters arranged in
ascending order based on ascii value.
Note: You should k... | src/policies/agentverse_agentverse_humaneval_task86.rego | agentverse_humaneval_task86 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 86 | HumanEval | spec/agentverse/agentverse_humaneval_task86 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def get_row(lst, x):\n \"\"\"\n You are given a 2 dimension... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def get_row(lst, x):\n \"\"\"\n You are given a 2 dimensional data, as a nested lists,\n which is similar to matrix, however, unlike matrices,\n each row may contain a different number of columns.\n ... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def get_row(lst, x):
"""
You are given a 2 dimensional data, as a nested lists,
which is similar to matrix, however, unlike matrices,
each row may contain a different number of columns.
Given lst, and integer x, find integers x in the list,
and return list of tuples, [(x1, y1), (x2, y2) ...] suc... | src/policies/agentverse_agentverse_humaneval_task87.rego | agentverse_humaneval_task87 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 87 | HumanEval | spec/agentverse/agentverse_humaneval_task87 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def sort_array(array):\n \"\"\"\n Given an array of non-neg... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def sort_array(array):\n \"\"\"\n Given an array of non-negative integers, return a copy of the given array after sorting,\n you will sort the given array in ascending order if the sum( first index valu... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def sort_array(array):
"""
Given an array of non-negative integers, return a copy of the given array after sorting,
you will sort the given array in ascending order if the sum( first index value, last index value) is odd,
or sort it in descending order if the sum( first index value, last index value) is... | src/policies/agentverse_agentverse_humaneval_task88.rego | agentverse_humaneval_task88 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 88 | HumanEval | spec/agentverse/agentverse_humaneval_task88 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def encrypt(s):\n \"\"\"Create a function encrypt that takes a... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def encrypt(s):\n \"\"\"Create a function encrypt that takes a string as an argument and\n returns a string encrypted with the alphabet being rotated. \n The alphabet should be rotated in a manner such ... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def encrypt(s):
"""Create a function encrypt that takes a string as an argument and
returns a string encrypted with the alphabet being rotated.
The alphabet should be rotated in a manner such that the letters
shift down by two multiplied to two places.
For example:
encrypt('hi') returns 'lm'
... | src/policies/agentverse_agentverse_humaneval_task89.rego | agentverse_humaneval_task89 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 89 | HumanEval | spec/agentverse/agentverse_humaneval_task89 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: from typing import List, Tuple\n\n\ndef rolling_max(numbers: List... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "from typing import List, Tuple\n\n\ndef rolling_max(numbers: List[int]) -> List[int]:\n \"\"\" From a given list of integers, generate a list of rolling maximum element found until given moment\n in the se... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | from typing import List, Tuple
def rolling_max(numbers: List[int]) -> List[int]:
""" From a given list of integers, generate a list of rolling maximum element found until given moment
in the sequence.
>>> rolling_max([1, 2, 3, 2, 3, 4, 2])
[1, 2, 3, 3, 3, 4, 4]
"""
Function signature: rolling_ma... | src/policies/agentverse_agentverse_humaneval_task9.rego | agentverse_humaneval_task9 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 9 | HumanEval | spec/agentverse/agentverse_humaneval_task9 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def next_smallest(lst):\n \"\"\"\n You are given a list of ... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def next_smallest(lst):\n \"\"\"\n You are given a list of integers.\n Write a function next_smallest() that returns the 2nd smallest element of the list.\n Return None if there is no such element.\n... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def next_smallest(lst):
"""
You are given a list of integers.
Write a function next_smallest() that returns the 2nd smallest element of the list.
Return None if there is no such element.
next_smallest([1, 2, 3, 4, 5]) == 2
next_smallest([5, 1, 4, 3, 2]) == 2
next_smallest([]) == None
... | src/policies/agentverse_agentverse_humaneval_task90.rego | agentverse_humaneval_task90 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 90 | HumanEval | spec/agentverse/agentverse_humaneval_task90 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def is_bored(S):\n \"\"\"\n You'll be given a string of wor... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def is_bored(S):\n \"\"\"\n You'll be given a string of words, and your task is to count the number\n of boredoms. A boredom is a sentence that starts with the word \"I\".\n Sentences are delimited b... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def is_bored(S):
"""
You'll be given a string of words, and your task is to count the number
of boredoms. A boredom is a sentence that starts with the word "I".
Sentences are delimited by '.', '?' or '!'.
For example:
>>> is_bored("Hello world")
0
>>> is_bored("The sky is blue. The s... | src/policies/agentverse_agentverse_humaneval_task91.rego | agentverse_humaneval_task91 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 91 | HumanEval | spec/agentverse/agentverse_humaneval_task91 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def any_int(x, y, z):\n '''\n Create a function that takes ... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def any_int(x, y, z):\n '''\n Create a function that takes 3 numbers.\n Returns true if one of the numbers is equal to the sum of the other two, and all numbers are integers.\n Returns false in any o... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def any_int(x, y, z):
'''
Create a function that takes 3 numbers.
Returns true if one of the numbers is equal to the sum of the other two, and all numbers are integers.
Returns false in any other cases.
Examples
any_int(5, 2, 7) ➞ True
any_int(3, 2, 2) ➞ False
any_int(3, -2, 1... | src/policies/agentverse_agentverse_humaneval_task92.rego | agentverse_humaneval_task92 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 92 | HumanEval | spec/agentverse/agentverse_humaneval_task92 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def encode(message):\n \"\"\"\n Write a function that takes... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def encode(message):\n \"\"\"\n Write a function that takes a message, and encodes in such a \n way that it swaps case of all letters, replaces all vowels in \n the message with the letter that appea... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def encode(message):
"""
Write a function that takes a message, and encodes in such a
way that it swaps case of all letters, replaces all vowels in
the message with the letter that appears 2 places ahead of that
vowel in the english alphabet.
Assume only letters.
Examples:
>>> ... | src/policies/agentverse_agentverse_humaneval_task93.rego | agentverse_humaneval_task93 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 93 | HumanEval | spec/agentverse/agentverse_humaneval_task93 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def skjkasdkd(lst):\n \"\"\"You are given a list of integers.\... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def skjkasdkd(lst):\n \"\"\"You are given a list of integers.\n You need to find the largest prime value and return the sum of its digits.\n\n Examples:\n For lst = [0,3,2,1,3,5,7,4,5,5,5,2,181,32,4,... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def skjkasdkd(lst):
"""You are given a list of integers.
You need to find the largest prime value and return the sum of its digits.
Examples:
For lst = [0,3,2,1,3,5,7,4,5,5,5,2,181,32,4,32,3,2,32,324,4,3] the output should be 10
For lst = [1,0,1,8,2,4597,2,1,3,40,1,2,1,2,4,2,5,1] the output should ... | src/policies/agentverse_agentverse_humaneval_task94.rego | agentverse_humaneval_task94 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 94 | HumanEval | spec/agentverse/agentverse_humaneval_task94 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def check_dict_case(dict):\n \"\"\"\n Given a dictionary, r... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def check_dict_case(dict):\n \"\"\"\n Given a dictionary, return True if all keys are strings in lower \n case or all keys are strings in upper case, else return False.\n The function should return F... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def check_dict_case(dict):
"""
Given a dictionary, return True if all keys are strings in lower
case or all keys are strings in upper case, else return False.
The function should return False is the given dictionary is empty.
Examples:
check_dict_case({"a":"apple", "b":"banana"}) should return ... | src/policies/agentverse_agentverse_humaneval_task95.rego | agentverse_humaneval_task95 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 95 | HumanEval | spec/agentverse/agentverse_humaneval_task95 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def count_up_to(n):\n \"\"\"Implement a function that takes an... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def count_up_to(n):\n \"\"\"Implement a function that takes an non-negative integer and returns an array of the first n\n integers that are prime numbers and less than n.\n for example:\n count_up_to... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def count_up_to(n):
"""Implement a function that takes an non-negative integer and returns an array of the first n
integers that are prime numbers and less than n.
for example:
count_up_to(5) => [2,3]
count_up_to(11) => [2,3,5,7]
count_up_to(0) => []
count_up_to(20) => [2,3,5,7,11,13,17,19]
... | src/policies/agentverse_agentverse_humaneval_task96.rego | agentverse_humaneval_task96 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 96 | HumanEval | spec/agentverse/agentverse_humaneval_task96 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def multiply(a, b):\n \"\"\"Complete the function that takes t... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def multiply(a, b):\n \"\"\"Complete the function that takes two integers and returns \n the product of their unit digits.\n Assume the input is always valid.\n Examples:\n multiply(148, 412) shou... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def multiply(a, b):
"""Complete the function that takes two integers and returns
the product of their unit digits.
Assume the input is always valid.
Examples:
multiply(148, 412) should return 16.
multiply(19, 28) should return 72.
multiply(2020, 1851) should return 0.
multiply(14,-15) s... | src/policies/agentverse_agentverse_humaneval_task97.rego | agentverse_humaneval_task97 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 97 | HumanEval | spec/agentverse/agentverse_humaneval_task97 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def count_upper(s):\n \"\"\"\n Given a string s, count the ... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def count_upper(s):\n \"\"\"\n Given a string s, count the number of uppercase vowels in even indices.\n \n For example:\n count_upper('aBCdEf') returns 1\n count_upper('abcdefg') returns 0\n ... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def count_upper(s):
"""
Given a string s, count the number of uppercase vowels in even indices.
For example:
count_upper('aBCdEf') returns 1
count_upper('abcdefg') returns 0
count_upper('dBBE') returns 0
"""
Function signature: count_upper
Docstring:
def count_upper(s):
"""
G... | src/policies/agentverse_agentverse_humaneval_task98.rego | agentverse_humaneval_task98 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 98 | HumanEval | spec/agentverse/agentverse_humaneval_task98 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse HumanEval task.\nProblem: def closest_integer(value):\n '''\n Create a function that ... | {"difficulty": "medium", "domain": "software_engineering", "has_executor": true, "n_solvers": 2, "problem": "def closest_integer(value):\n '''\n Create a function that takes a value (string) representing a number\n and returns the closest integer to it. If the number is equidistant\n from two integers, roun... | medium | software_engineering | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | def closest_integer(value):
'''
Create a function that takes a value (string) representing a number
and returns the closest integer to it. If the number is equidistant
from two integers, round it away from zero.
Examples
>>> closest_integer("10")
10
>>> closest_integer("15.3")
15
... | src/policies/agentverse_agentverse_humaneval_task99.rego | agentverse_humaneval_task99 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 99 | HumanEval | spec/agentverse/agentverse_humaneval_task99 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse ToolUsing task.\nProblem: Search the web for the current price of Bitcoin and report it in ... | {"difficulty": "easy", "domain": "information_retrieval", "has_executor": true, "n_solvers": 2, "problem": "Search the web for the current price of Bitcoin and report it in USD.", "task_id": 100, "task_type": "ToolUsing"} | easy | information_retrieval | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | Search the web for the current price of Bitcoin and report it in USD. | src/policies/agentverse_agentverse_toolusing_task100.rego | agentverse_toolusing_task100 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 100 | ToolUsing | spec/agentverse/agentverse_toolusing_task100 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse ToolUsing task.\nProblem: Use a calculator to solve: integral of x^2 from 0 to 10.\n\nYour ... | {"difficulty": "easy", "domain": "information_retrieval", "has_executor": true, "n_solvers": 2, "problem": "Use a calculator to solve: integral of x^2 from 0 to 10.", "task_id": 101, "task_type": "ToolUsing"} | easy | information_retrieval | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | Use a calculator to solve: integral of x^2 from 0 to 10. | src/policies/agentverse_agentverse_toolusing_task101.rego | agentverse_toolusing_task101 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 101 | ToolUsing | spec/agentverse/agentverse_toolusing_task101 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse ToolUsing task.\nProblem: Retrieve today's weather forecast for Seoul, South Korea.\n\nYour... | {"difficulty": "easy", "domain": "information_retrieval", "has_executor": true, "n_solvers": 2, "problem": "Retrieve today's weather forecast for Seoul, South Korea.", "task_id": 102, "task_type": "ToolUsing"} | easy | information_retrieval | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | Retrieve today's weather forecast for Seoul, South Korea. | src/policies/agentverse_agentverse_toolusing_task102.rego | agentverse_toolusing_task102 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 102 | ToolUsing | spec/agentverse/agentverse_toolusing_task102 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse ToolUsing task.\nProblem: Fetch the latest 5 commits from the 'openai/openai-python' GitHub... | {"difficulty": "easy", "domain": "information_retrieval", "has_executor": true, "n_solvers": 2, "problem": "Fetch the latest 5 commits from the 'openai/openai-python' GitHub repository.", "task_id": 103, "task_type": "ToolUsing"} | easy | information_retrieval | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | Fetch the latest 5 commits from the 'openai/openai-python' GitHub repository. | src/policies/agentverse_agentverse_toolusing_task103.rego | agentverse_toolusing_task103 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 103 | ToolUsing | spec/agentverse/agentverse_toolusing_task103 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse ToolUsing task.\nProblem: Look up the population of Tokyo from Wikipedia and convert it to ... | {"difficulty": "easy", "domain": "information_retrieval", "has_executor": true, "n_solvers": 2, "problem": "Look up the population of Tokyo from Wikipedia and convert it to millions.", "task_id": 104, "task_type": "ToolUsing"} | easy | information_retrieval | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | Look up the population of Tokyo from Wikipedia and convert it to millions. | src/policies/agentverse_agentverse_toolusing_task104.rego | agentverse_toolusing_task104 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 104 | ToolUsing | spec/agentverse/agentverse_toolusing_task104 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse ToolUsing task.\nProblem: Search the web for the current price of Bitcoin and report it in ... | {"difficulty": "easy", "domain": "information_retrieval", "has_executor": true, "n_solvers": 2, "problem": "Search the web for the current price of Bitcoin and report it in USD.", "task_id": 105, "task_type": "ToolUsing"} | easy | information_retrieval | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | Search the web for the current price of Bitcoin and report it in USD. | src/policies/agentverse_agentverse_toolusing_task105.rego | agentverse_toolusing_task105 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 105 | ToolUsing | spec/agentverse/agentverse_toolusing_task105 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse ToolUsing task.\nProblem: Use a calculator to solve: integral of x^2 from 0 to 10.\n\nYour ... | {"difficulty": "easy", "domain": "information_retrieval", "has_executor": true, "n_solvers": 2, "problem": "Use a calculator to solve: integral of x^2 from 0 to 10.", "task_id": 106, "task_type": "ToolUsing"} | easy | information_retrieval | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | Use a calculator to solve: integral of x^2 from 0 to 10. | src/policies/agentverse_agentverse_toolusing_task106.rego | agentverse_toolusing_task106 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 106 | ToolUsing | spec/agentverse/agentverse_toolusing_task106 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse ToolUsing task.\nProblem: Retrieve today's weather forecast for Seoul, South Korea.\n\nYour... | {"difficulty": "easy", "domain": "information_retrieval", "has_executor": true, "n_solvers": 2, "problem": "Retrieve today's weather forecast for Seoul, South Korea.", "task_id": 107, "task_type": "ToolUsing"} | easy | information_retrieval | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | Retrieve today's weather forecast for Seoul, South Korea. | src/policies/agentverse_agentverse_toolusing_task107.rego | agentverse_toolusing_task107 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 107 | ToolUsing | spec/agentverse/agentverse_toolusing_task107 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse ToolUsing task.\nProblem: Fetch the latest 5 commits from the 'openai/openai-python' GitHub... | {"difficulty": "easy", "domain": "information_retrieval", "has_executor": true, "n_solvers": 2, "problem": "Fetch the latest 5 commits from the 'openai/openai-python' GitHub repository.", "task_id": 108, "task_type": "ToolUsing"} | easy | information_retrieval | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | Fetch the latest 5 commits from the 'openai/openai-python' GitHub repository. | src/policies/agentverse_agentverse_toolusing_task108.rego | agentverse_toolusing_task108 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 108 | ToolUsing | spec/agentverse/agentverse_toolusing_task108 |
6 | [{"backstory": "You are the Role Assigner Agent in an AgentVerse SafeSagaLLM pipeline.", "depends_on": [], "name": "Role Assigner Agent", "sensitive": false, "task_description": "You are the Role Assigner Agent for an AgentVerse ToolUsing task.\nProblem: Look up the population of Tokyo from Wikipedia and convert it to ... | {"difficulty": "easy", "domain": "information_retrieval", "has_executor": true, "n_solvers": 2, "problem": "Look up the population of Tokyo from Wikipedia and convert it to millions.", "task_id": 109, "task_type": "ToolUsing"} | easy | information_retrieval | 6 | [["Role Assigner Agent", "Solver Agent 1"], ["Solver Agent 1", "Critic Agent"], ["Role Assigner Agent", "Solver Agent 2"], ["Solver Agent 2", "Critic Agent"], ["Critic Agent", "Executor Agent"], ["Executor Agent", "Evaluator Agent"]] | true | 2 | {"agent_output_keywords": {"Critic Agent": ["internal_criticism"], "Executor Agent": ["execution_output", "tool_output"], "Solver Agent 1": ["solution_strategy", "partial_solution"], "Solver Agent 2": ["solution_strategy", "partial_solution"]}, "allowed_transfers": {"Critic Agent": ["Executor Agent"], "Evaluator Agent"... | Look up the population of Tokyo from Wikipedia and convert it to millions. | src/policies/agentverse_agentverse_toolusing_task109.rego | agentverse_toolusing_task109 | 5 | ["solution_strategy", "partial_solution", "internal_criticism", "execution_output", "tool_output"] | 109 | ToolUsing | spec/agentverse/agentverse_toolusing_task109 |
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