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humaneval_tiny

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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    ArrowNotImplementedError
Message:      Cannot write struct type 'arguments' with no child field to Parquet. Consider adding a dummy child field.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 712, in write_table
                  self._build_writer(inferred_schema=pa_table.schema)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 757, in _build_writer
                  self.pa_writer = pq.ParquetWriter(
                                   ^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pyarrow/parquet/core.py", line 1070, in __init__
                  self.writer = _parquet.ParquetWriter(
                                ^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/_parquet.pyx", line 2363, in pyarrow._parquet.ParquetWriter.__cinit__
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
              pyarrow.lib.ArrowNotImplementedError: Cannot write struct type 'arguments' with no child field to Parquet. Consider adding a dummy child field.
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1847, in _prepare_split_single
                  num_examples, num_bytes = writer.finalize()
                                            ^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 731, in finalize
                  self._build_writer(self.schema)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 757, in _build_writer
                  self.pa_writer = pq.ParquetWriter(
                                   ^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pyarrow/parquet/core.py", line 1070, in __init__
                  self.writer = _parquet.ParquetWriter(
                                ^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/_parquet.pyx", line 2363, in pyarrow._parquet.ParquetWriter.__cinit__
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
              pyarrow.lib.ArrowNotImplementedError: Cannot write struct type 'arguments' with no child field to Parquet. Consider adding a dummy child field.
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1339, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 972, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1858, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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name
string
description
string
prompt
string
mcp_config
dict
setup_tool
dict
evaluate_tool
dict
agent_config
dict
system_prompt
string
inspect_evals/humaneval - Sample HumanEval/0
Task from inspect_evals/humaneval dataset, sample HumanEval/0
Read the following function signature and docstring, and fully implement the function described. Your response should only contain the code for this function. from typing import List def has_close_elements(numbers: List[float], threshold: float) -> bool: """ Check if in given list of numbers, are any two number...
{ "inspect": { "args": [ "run", "--rm", "-i", "--init", "-v", "/var/run/docker.sock:/var/run/docker.sock", "-v", "/home/genteki/.cache/inspect_evals:/root/.cache/inspect_evals", "hud-inspect:latest" ], "command": "docker" } }
{ "arguments": { "model": "claude-sonnet-4-20250514", "sample_id": "HumanEval/0", "task_name": "inspect_evals/humaneval" }, "name": "load_task" }
{ "arguments": {}, "name": "score_task" }
{ "agent_class": "server.agents.InspectAgent", "allowed_tools": [], "disallowed_tools": [ "_store_agent_message", "load_task", "score_task" ], "initial_screenshot": false }
You are a helpful AI assistant. Follow the instructions in the user messages carefully.
inspect_evals/humaneval - Sample HumanEval/1
Task from inspect_evals/humaneval dataset, sample HumanEval/1
Read the following function signature and docstring, and fully implement the function described. Your response should only contain the code for this function. from typing import List def separate_paren_groups(paren_string: str) -> List[str]: """ Input to this function is a string containing multiple groups of n...
{ "inspect": { "args": [ "run", "--rm", "-i", "--init", "-v", "/var/run/docker.sock:/var/run/docker.sock", "-v", "/home/genteki/.cache/inspect_evals:/root/.cache/inspect_evals", "hud-inspect:latest" ], "command": "docker" } }
{ "arguments": { "model": "claude-sonnet-4-20250514", "sample_id": "HumanEval/1", "task_name": "inspect_evals/humaneval" }, "name": "load_task" }
{ "arguments": {}, "name": "score_task" }
{ "agent_class": "server.agents.InspectAgent", "allowed_tools": [], "disallowed_tools": [ "_store_agent_message", "load_task", "score_task" ], "initial_screenshot": false }
You are a helpful AI assistant. Follow the instructions in the user messages carefully.
inspect_evals/humaneval - Sample HumanEval/2
Task from inspect_evals/humaneval dataset, sample HumanEval/2
Read the following function signature and docstring, and fully implement the function described. Your response should only contain the code for this function. def truncate_number(number: float) -> float: """ Given a positive floating point number, it can be decomposed into and integer part (largest integer ...
{ "inspect": { "args": [ "run", "--rm", "-i", "--init", "-v", "/var/run/docker.sock:/var/run/docker.sock", "-v", "/home/genteki/.cache/inspect_evals:/root/.cache/inspect_evals", "hud-inspect:latest" ], "command": "docker" } }
{ "arguments": { "model": "claude-sonnet-4-20250514", "sample_id": "HumanEval/2", "task_name": "inspect_evals/humaneval" }, "name": "load_task" }
{ "arguments": {}, "name": "score_task" }
{ "agent_class": "server.agents.InspectAgent", "allowed_tools": [], "disallowed_tools": [ "_store_agent_message", "load_task", "score_task" ], "initial_screenshot": false }
You are a helpful AI assistant. Follow the instructions in the user messages carefully.
inspect_evals/humaneval - Sample HumanEval/3
Task from inspect_evals/humaneval dataset, sample HumanEval/3
Read the following function signature and docstring, and fully implement the function described. Your response should only contain the code for this function. from typing import List def below_zero(operations: List[int]) -> bool: """ You're given a list of deposit and withdrawal operations on a bank account tha...
{ "inspect": { "args": [ "run", "--rm", "-i", "--init", "-v", "/var/run/docker.sock:/var/run/docker.sock", "-v", "/home/genteki/.cache/inspect_evals:/root/.cache/inspect_evals", "hud-inspect:latest" ], "command": "docker" } }
{ "arguments": { "model": "claude-sonnet-4-20250514", "sample_id": "HumanEval/3", "task_name": "inspect_evals/humaneval" }, "name": "load_task" }
{ "arguments": {}, "name": "score_task" }
{ "agent_class": "server.agents.InspectAgent", "allowed_tools": [], "disallowed_tools": [ "_store_agent_message", "load_task", "score_task" ], "initial_screenshot": false }
You are a helpful AI assistant. Follow the instructions in the user messages carefully.
inspect_evals/humaneval - Sample HumanEval/4
Task from inspect_evals/humaneval dataset, sample HumanEval/4
Read the following function signature and docstring, and fully implement the function described. Your response should only contain the code for this function. from typing import List def mean_absolute_deviation(numbers: List[float]) -> float: """ For a given list of input numbers, calculate Mean Absolute Deviat...
{ "inspect": { "args": [ "run", "--rm", "-i", "--init", "-v", "/var/run/docker.sock:/var/run/docker.sock", "-v", "/home/genteki/.cache/inspect_evals:/root/.cache/inspect_evals", "hud-inspect:latest" ], "command": "docker" } }
{ "arguments": { "model": "claude-sonnet-4-20250514", "sample_id": "HumanEval/4", "task_name": "inspect_evals/humaneval" }, "name": "load_task" }
{ "arguments": {}, "name": "score_task" }
{ "agent_class": "server.agents.InspectAgent", "allowed_tools": [], "disallowed_tools": [ "_store_agent_message", "load_task", "score_task" ], "initial_screenshot": false }
You are a helpful AI assistant. Follow the instructions in the user messages carefully.
inspect_evals/humaneval - Sample HumanEval/5
Task from inspect_evals/humaneval dataset, sample HumanEval/5
Read the following function signature and docstring, and fully implement the function described. Your response should only contain the code for this function. from typing import List def intersperse(numbers: List[int], delimeter: int) -> List[int]: """ Insert a number 'delimeter' between every two consecutive e...
{ "inspect": { "args": [ "run", "--rm", "-i", "--init", "-v", "/var/run/docker.sock:/var/run/docker.sock", "-v", "/home/genteki/.cache/inspect_evals:/root/.cache/inspect_evals", "hud-inspect:latest" ], "command": "docker" } }
{ "arguments": { "model": "claude-sonnet-4-20250514", "sample_id": "HumanEval/5", "task_name": "inspect_evals/humaneval" }, "name": "load_task" }
{ "arguments": {}, "name": "score_task" }
{ "agent_class": "server.agents.InspectAgent", "allowed_tools": [], "disallowed_tools": [ "_store_agent_message", "load_task", "score_task" ], "initial_screenshot": false }
You are a helpful AI assistant. Follow the instructions in the user messages carefully.
inspect_evals/humaneval - Sample HumanEval/6
Task from inspect_evals/humaneval dataset, sample HumanEval/6
Read the following function signature and docstring, and fully implement the function described. Your response should only contain the code for this function. from typing import List def parse_nested_parens(paren_string: str) -> List[int]: """ Input to this function is a string represented multiple groups for n...
{ "inspect": { "args": [ "run", "--rm", "-i", "--init", "-v", "/var/run/docker.sock:/var/run/docker.sock", "-v", "/home/genteki/.cache/inspect_evals:/root/.cache/inspect_evals", "hud-inspect:latest" ], "command": "docker" } }
{ "arguments": { "model": "claude-sonnet-4-20250514", "sample_id": "HumanEval/6", "task_name": "inspect_evals/humaneval" }, "name": "load_task" }
{ "arguments": {}, "name": "score_task" }
{ "agent_class": "server.agents.InspectAgent", "allowed_tools": [], "disallowed_tools": [ "_store_agent_message", "load_task", "score_task" ], "initial_screenshot": false }
You are a helpful AI assistant. Follow the instructions in the user messages carefully.
inspect_evals/humaneval - Sample HumanEval/7
Task from inspect_evals/humaneval dataset, sample HumanEval/7
Read the following function signature and docstring, and fully implement the function described. Your response should only contain the code for this function. 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 ...
{ "inspect": { "args": [ "run", "--rm", "-i", "--init", "-v", "/var/run/docker.sock:/var/run/docker.sock", "-v", "/home/genteki/.cache/inspect_evals:/root/.cache/inspect_evals", "hud-inspect:latest" ], "command": "docker" } }
{ "arguments": { "model": "claude-sonnet-4-20250514", "sample_id": "HumanEval/7", "task_name": "inspect_evals/humaneval" }, "name": "load_task" }
{ "arguments": {}, "name": "score_task" }
{ "agent_class": "server.agents.InspectAgent", "allowed_tools": [], "disallowed_tools": [ "_store_agent_message", "load_task", "score_task" ], "initial_screenshot": false }
You are a helpful AI assistant. Follow the instructions in the user messages carefully.
inspect_evals/humaneval - Sample HumanEval/8
Task from inspect_evals/humaneval dataset, sample HumanEval/8
Read the following function signature and docstring, and fully implement the function described. Your response should only contain the code for this function. 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 s...
{ "inspect": { "args": [ "run", "--rm", "-i", "--init", "-v", "/var/run/docker.sock:/var/run/docker.sock", "-v", "/home/genteki/.cache/inspect_evals:/root/.cache/inspect_evals", "hud-inspect:latest" ], "command": "docker" } }
{ "arguments": { "model": "claude-sonnet-4-20250514", "sample_id": "HumanEval/8", "task_name": "inspect_evals/humaneval" }, "name": "load_task" }
{ "arguments": {}, "name": "score_task" }
{ "agent_class": "server.agents.InspectAgent", "allowed_tools": [], "disallowed_tools": [ "_store_agent_message", "load_task", "score_task" ], "initial_screenshot": false }
You are a helpful AI assistant. Follow the instructions in the user messages carefully.
inspect_evals/humaneval - Sample HumanEval/9
Task from inspect_evals/humaneval dataset, sample HumanEval/9
Read the following function signature and docstring, and fully implement the function described. Your response should only contain the code for this function. 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 el...
{ "inspect": { "args": [ "run", "--rm", "-i", "--init", "-v", "/var/run/docker.sock:/var/run/docker.sock", "-v", "/home/genteki/.cache/inspect_evals:/root/.cache/inspect_evals", "hud-inspect:latest" ], "command": "docker" } }
{ "arguments": { "model": "claude-sonnet-4-20250514", "sample_id": "HumanEval/9", "task_name": "inspect_evals/humaneval" }, "name": "load_task" }
{ "arguments": {}, "name": "score_task" }
{ "agent_class": "server.agents.InspectAgent", "allowed_tools": [], "disallowed_tools": [ "_store_agent_message", "load_task", "score_task" ], "initial_screenshot": false }
You are a helpful AI assistant. Follow the instructions in the user messages carefully.

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