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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 datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
name string | description string | prompt string | mcp_config dict | setup_tool dict | evaluate_tool dict | agent_config dict | system_prompt string |
|---|---|---|---|---|---|---|---|
inspect_evals/core_bench - Sample capsule-5507257 | Task from inspect_evals/core_bench dataset, sample capsule-5507257 |
Task: codeocean_easy
Your goal is to answer questions about the output of scientific code. You should read through the files in the `results` directory to answer the following questions: dict_keys(['Report the accuracy of the multitask learning model at the end of training on the test set.']). Save your answers to a ... | {
"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": "capsule-5507257",
"task_name": "inspect_evals/core_bench"
},
"name": "load_task"
} | {
"arguments": {},
"name": "score_task"
} | {
"agent_class": "server.agents.InspectAgent",
"allowed_tools": [
"inspect_bash",
"inspect_query_vision_language_model",
"submit"
],
"disallowed_tools": [
"_store_agent_message",
"load_task",
"score_task"
],
"initial_screenshot": false
} | You are a seasoned digital assistant: capable, intelligent, considerate, and assertive. As my dedicated research assistant, you possess extensive skills in research and development and do not shy away from writing code to solve complex problems. You are adept at extracting, processing, and analyzing data from various s... |
inspect_evals/core_bench - Sample capsule-3449234 | Task from inspect_evals/core_bench dataset, sample capsule-3449234 |
Task: codeocean_easy
Your goal is to answer questions about the output of scientific code. You should read through the files in the `results` directory to answer the following questions: dict_keys(['Report the error ConvLSTM.', 'Report the error LSTM.', 'fig From the figure containing the standard deviation for the 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": "capsule-3449234",
"task_name": "inspect_evals/core_bench"
},
"name": "load_task"
} | {
"arguments": {},
"name": "score_task"
} | {
"agent_class": "server.agents.InspectAgent",
"allowed_tools": [
"inspect_bash",
"inspect_query_vision_language_model",
"submit"
],
"disallowed_tools": [
"_store_agent_message",
"load_task",
"score_task"
],
"initial_screenshot": false
} | You are a seasoned digital assistant: capable, intelligent, considerate, and assertive. As my dedicated research assistant, you possess extensive skills in research and development and do not shy away from writing code to solve complex problems. You are adept at extracting, processing, and analyzing data from various s... |
inspect_evals/core_bench - Sample capsule-9670283 | Task from inspect_evals/core_bench dataset, sample capsule-9670283 |
Task: codeocean_easy
Your goal is to answer questions about the output of scientific code. You should read through the files in the `results` directory to answer the following questions: dict_keys(['fig From the final result plot, report the label for the orange line.', 'fig From the final result plot, report the lab... | {
"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": "capsule-9670283",
"task_name": "inspect_evals/core_bench"
},
"name": "load_task"
} | {
"arguments": {},
"name": "score_task"
} | {
"agent_class": "server.agents.InspectAgent",
"allowed_tools": [
"inspect_bash",
"inspect_query_vision_language_model",
"submit"
],
"disallowed_tools": [
"_store_agent_message",
"load_task",
"score_task"
],
"initial_screenshot": false
} | You are a seasoned digital assistant: capable, intelligent, considerate, and assertive. As my dedicated research assistant, you possess extensive skills in research and development and do not shy away from writing code to solve complex problems. You are adept at extracting, processing, and analyzing data from various s... |
inspect_evals/core_bench - Sample capsule-8536428 | Task from inspect_evals/core_bench dataset, sample capsule-8536428 |
Task: codeocean_easy
Your goal is to answer questions about the output of scientific code. You should read through the files in the `results` directory to answer the following questions: dict_keys(['Report the test accuracy of NB with ngram on the combined corpus.', 'Report the test precision of NB with ngram on 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": "capsule-8536428",
"task_name": "inspect_evals/core_bench"
},
"name": "load_task"
} | {
"arguments": {},
"name": "score_task"
} | {
"agent_class": "server.agents.InspectAgent",
"allowed_tools": [
"inspect_bash",
"inspect_query_vision_language_model",
"submit"
],
"disallowed_tools": [
"_store_agent_message",
"load_task",
"score_task"
],
"initial_screenshot": false
} | You are a seasoned digital assistant: capable, intelligent, considerate, and assertive. As my dedicated research assistant, you possess extensive skills in research and development and do not shy away from writing code to solve complex problems. You are adept at extracting, processing, and analyzing data from various s... |
inspect_evals/core_bench - Sample capsule-8807709 | Task from inspect_evals/core_bench dataset, sample capsule-8807709 |
Task: codeocean_easy
Your goal is to answer questions about the output of scientific code. You should read through the files in the `results` directory to answer the following questions: dict_keys(['fig For the third subplot in the visualization of the experiments, report the color of the line with the greatest numbe... | {
"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": "capsule-8807709",
"task_name": "inspect_evals/core_bench"
},
"name": "load_task"
} | {
"arguments": {},
"name": "score_task"
} | {
"agent_class": "server.agents.InspectAgent",
"allowed_tools": [
"inspect_bash",
"inspect_query_vision_language_model",
"submit"
],
"disallowed_tools": [
"_store_agent_message",
"load_task",
"score_task"
],
"initial_screenshot": false
} | You are a seasoned digital assistant: capable, intelligent, considerate, and assertive. As my dedicated research assistant, you possess extensive skills in research and development and do not shy away from writing code to solve complex problems. You are adept at extracting, processing, and analyzing data from various s... |
inspect_evals/core_bench - Sample capsule-6049678 | Task from inspect_evals/core_bench dataset, sample capsule-6049678 |
Task: codeocean_easy
Your goal is to answer questions about the output of scientific code. You should read through the files in the `results` directory to answer the following questions: dict_keys(['Report the f1 score for the Musk1+ dataset with the knn classifier.', 'Report the f1 score for the Musk1+ dataset with ... | {
"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": "capsule-6049678",
"task_name": "inspect_evals/core_bench"
},
"name": "load_task"
} | {
"arguments": {},
"name": "score_task"
} | {
"agent_class": "server.agents.InspectAgent",
"allowed_tools": [
"inspect_bash",
"inspect_query_vision_language_model",
"submit"
],
"disallowed_tools": [
"_store_agent_message",
"load_task",
"score_task"
],
"initial_screenshot": false
} | You are a seasoned digital assistant: capable, intelligent, considerate, and assertive. As my dedicated research assistant, you possess extensive skills in research and development and do not shy away from writing code to solve complex problems. You are adept at extracting, processing, and analyzing data from various s... |
inspect_evals/core_bench - Sample capsule-9641396 | Task from inspect_evals/core_bench dataset, sample capsule-9641396 |
Task: codeocean_easy
Your goal is to answer questions about the output of scientific code. You should read through the files in the `results` directory to answer the following questions: dict_keys(['fig Report the y-axis label of the convergence curve figure over the 03-adder benchmark.']). Save your answers to a fil... | {
"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": "capsule-9641396",
"task_name": "inspect_evals/core_bench"
},
"name": "load_task"
} | {
"arguments": {},
"name": "score_task"
} | {
"agent_class": "server.agents.InspectAgent",
"allowed_tools": [
"inspect_bash",
"inspect_query_vision_language_model",
"submit"
],
"disallowed_tools": [
"_store_agent_message",
"load_task",
"score_task"
],
"initial_screenshot": false
} | You are a seasoned digital assistant: capable, intelligent, considerate, and assertive. As my dedicated research assistant, you possess extensive skills in research and development and do not shy away from writing code to solve complex problems. You are adept at extracting, processing, and analyzing data from various s... |
inspect_evals/core_bench - Sample capsule-6003668 | Task from inspect_evals/core_bench dataset, sample capsule-6003668 |
Task: codeocean_easy
Your goal is to answer questions about the output of scientific code. You should read through the files in the `results` directory to answer the following questions: dict_keys(['Report the average test accuracy on all the tasks after learning the 4th task.']). Save your answers to a file named re... | {
"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": "capsule-6003668",
"task_name": "inspect_evals/core_bench"
},
"name": "load_task"
} | {
"arguments": {},
"name": "score_task"
} | {
"agent_class": "server.agents.InspectAgent",
"allowed_tools": [
"inspect_bash",
"inspect_query_vision_language_model",
"submit"
],
"disallowed_tools": [
"_store_agent_message",
"load_task",
"score_task"
],
"initial_screenshot": false
} | You are a seasoned digital assistant: capable, intelligent, considerate, and assertive. As my dedicated research assistant, you possess extensive skills in research and development and do not shy away from writing code to solve complex problems. You are adept at extracting, processing, and analyzing data from various s... |
inspect_evals/core_bench - Sample capsule-8234136 | Task from inspect_evals/core_bench dataset, sample capsule-8234136 |
Task: codeocean_easy
Your goal is to answer questions about the output of scientific code. You should read through the files in the `results` directory to answer the following questions: dict_keys(['fig Report the name of the model with the highest average energy.', 'fig Report the name of the model with the lowest a... | {
"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": "capsule-8234136",
"task_name": "inspect_evals/core_bench"
},
"name": "load_task"
} | {
"arguments": {},
"name": "score_task"
} | {
"agent_class": "server.agents.InspectAgent",
"allowed_tools": [
"inspect_bash",
"inspect_query_vision_language_model",
"submit"
],
"disallowed_tools": [
"_store_agent_message",
"load_task",
"score_task"
],
"initial_screenshot": false
} | You are a seasoned digital assistant: capable, intelligent, considerate, and assertive. As my dedicated research assistant, you possess extensive skills in research and development and do not shy away from writing code to solve complex problems. You are adept at extracting, processing, and analyzing data from various s... |
inspect_evals/core_bench - Sample capsule-9660931 | Task from inspect_evals/core_bench dataset, sample capsule-9660931 |
Task: codeocean_easy
Your goal is to answer questions about the output of scientific code. You should read through the files in the `results` directory to answer the following questions: dict_keys(['Report the best accuracy for HCR-Net on the test dataset.']). Save your answers to a file named report.json in the envi... | {
"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": "capsule-9660931",
"task_name": "inspect_evals/core_bench"
},
"name": "load_task"
} | {
"arguments": {},
"name": "score_task"
} | {
"agent_class": "server.agents.InspectAgent",
"allowed_tools": [
"inspect_bash",
"inspect_query_vision_language_model",
"submit"
],
"disallowed_tools": [
"_store_agent_message",
"load_task",
"score_task"
],
"initial_screenshot": false
} | You are a seasoned digital assistant: capable, intelligent, considerate, and assertive. As my dedicated research assistant, you possess extensive skills in research and development and do not shy away from writing code to solve complex problems. You are adept at extracting, processing, and analyzing data from various s... |
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