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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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string
description
string
prompt
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mcp_config
dict
setup_tool
dict
evaluate_tool
dict
agent_config
dict
system_prompt
string
inspect_evals/mmiu - Sample 0
Task from inspect_evals/mmiu dataset, sample 0
Answer the following multiple choice question. The entire content of your response should be of the following format: 'ANSWER: $LETTER' (without quotes) where LETTER is one of A,B,C,D. Choose the best title for the @placeholder to correctly complete the recipe.['Gather Walnuts From Ground', 'There Are Two Methods to R...
{ "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": "0", "task_name": "inspect_evals/mmiu" }, "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/mmiu - Sample 1
Task from inspect_evals/mmiu dataset, sample 1
Answer the following multiple choice question. The entire content of your response should be of the following format: 'ANSWER: $LETTER' (without quotes) where LETTER is one of A,B,C,D. Please retrieve the most similar person to the query in the candidate.The query image is the first image. A) The second image B) The ...
{ "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": "1", "task_name": "inspect_evals/mmiu" }, "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/mmiu - Sample 2
Task from inspect_evals/mmiu dataset, sample 2
Answer the following multiple choice question. The entire content of your response should be of the following format: 'ANSWER: $LETTER' (without quotes) where LETTER is one of A,B,C,D. I have provided several frames from a video, and I will also provide a caption. Please provide the bounding box coordinates for the de...
{ "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": "2", "task_name": "inspect_evals/mmiu" }, "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/mmiu - Sample 3
Task from inspect_evals/mmiu dataset, sample 3
Answer the following multiple choice question. The entire content of your response should be of the following format: 'ANSWER: $LETTER' (without quotes) where LETTER is one of A,B,C. What is in the middle? A) The second image B) The third image C) The fourth image
{ "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": "3", "task_name": "inspect_evals/mmiu" }, "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/mmiu - Sample 4
Task from inspect_evals/mmiu dataset, sample 4
Answer the following multiple choice question. The entire content of your response should be of the following format: 'ANSWER: $LETTER' (without quotes) where LETTER is one of A,B,C,D. Which image is most likely to show a different emotion from the other images? A) the first image B) the second image C) the third ima...
{ "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": "4", "task_name": "inspect_evals/mmiu" }, "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/mmiu - Sample 5
Task from inspect_evals/mmiu dataset, sample 5
Answer the following multiple choice question. The entire content of your response should be of the following format: 'ANSWER: $LETTER' (without quotes) where LETTER is one of A,B,C,D. Please find the most relevant picture among the candidate images for this description. Description: the medium sized bird has a dark g...
{ "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": "5", "task_name": "inspect_evals/mmiu" }, "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/mmiu - Sample 6
Task from inspect_evals/mmiu dataset, sample 6
Answer the following multiple choice question. The entire content of your response should be of the following format: 'ANSWER: $LETTER' (without quotes) where LETTER is one of A,B,C,D. Describe this set of images briefly. A) Sitting in a park on a sunny day enjoying a picnic B) Walking through a forest and looking at...
{ "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": "6", "task_name": "inspect_evals/mmiu" }, "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/mmiu - Sample 7
Task from inspect_evals/mmiu dataset, sample 7
Answer the following multiple choice question. The entire content of your response should be of the following format: 'ANSWER: $LETTER' (without quotes) where LETTER is one of A,B,C. Which part below is most affected by motion blur? A) Ground in the first image B) Dog in the first image C) Person in the second image
{ "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": "7", "task_name": "inspect_evals/mmiu" }, "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/mmiu - Sample 8
Task from inspect_evals/mmiu dataset, sample 8
Answer the following multiple choice question. The entire content of your response should be of the following format: 'ANSWER: $LETTER' (without quotes) where LETTER is one of A,B,C,D. What is the most probable action quality assessment number obtained by the person in the video? A) 99.08 B) 71.08 C) 82.07 D) 53.4
{ "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": "8", "task_name": "inspect_evals/mmiu" }, "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/mmiu - Sample 9
Task from inspect_evals/mmiu dataset, sample 9
Answer the following multiple choice question. The entire content of your response should be of the following format: 'ANSWER: $LETTER' (without quotes) where LETTER is one of A,B,C,D. Given a pair of RGB and depth images with the corresponding camera pose, i.e., rotation matrix: [[-0.386761, -0.304254, 0.870543], [-0...
{ "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": "9", "task_name": "inspect_evals/mmiu" }, "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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