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The dataset generation failed
Error code: DatasetGenerationError
Exception: TypeError
Message: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1520, in _prepare_split_single
for key, record in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 130, in _generate_examples
for example_idx, example in enumerate(self._get_pipeline_from_tar(tar_path, tar_iterator)):
~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 34, in _get_pipeline_from_tar
for filename, f in tar_iterator:
^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/track.py", line 49, in __iter__
for x in self.generator(*self.args):
~~~~~~~~~~~~~~^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 1405, in _iter_from_urlpath
with xopen(urlpath, "rb", download_config=download_config, block_size=0) as f:
~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 982, in xopen
file_obj = fs.open(paths[0], mode)
File "<string>", line 3, in open
File "/usr/local/lib/python3.14/unittest/mock.py", line 1176, in __call__
return self._mock_call(*args, **kwargs)
~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/unittest/mock.py", line 1180, in _mock_call
return self._execute_mock_call(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/unittest/mock.py", line 1247, in _execute_mock_call
result = effect(*args, **kwargs)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 786, in wrapped
tracker.files[urlpath] = {"read": 0, "size": int(f.size)}
~~~^^^^^^^^
TypeError: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
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 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1382, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1560, 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.
json dict | __key__ string | __url__ string |
|---|---|---|
{
"config": "text_simulation/configs/megastudy_temp0_v3_full/targeting_fairness_v3_megaspec__high.yaml",
"incomplete_reason": null,
"llm_call_error": null,
"persona_id": "pid_756",
"prompt_text": "## Persona Skill Profile:\n## Fairness & Communal Values Profile \nThis participant rates communal values highly... | text_simulation_output_megastudy_v3_full/targeting_fairness/v3_megaspec/high/pid_756/pid_756_response | hf://datasets/Mike-deng-2002/Twin-2K-500-megastudy-causal@fad6e0fb5cd8f6bed4eb805a8bbf26277d8668d9/output/text_simulation_output_megastudy_v3_full.tar.gz |
{
"config": "text_simulation/configs/megastudy_temp0_v3_full/targeting_fairness_v3_megaspec__high.yaml",
"incomplete_reason": null,
"llm_call_error": null,
"persona_id": "pid_1024",
"prompt_text": "## Persona Skill Profile:\n## Fairness & Communal Values Profile \nThis participant rates communal values such ... | text_simulation_output_megastudy_v3_full/targeting_fairness/v3_megaspec/high/pid_1024/pid_1024_response | hf://datasets/Mike-deng-2002/Twin-2K-500-megastudy-causal@fad6e0fb5cd8f6bed4eb805a8bbf26277d8668d9/output/text_simulation_output_megastudy_v3_full.tar.gz |
{
"config": "text_simulation/configs/megastudy_temp0_v3_full/targeting_fairness_v3_megaspec__high.yaml",
"incomplete_reason": null,
"llm_call_error": null,
"persona_id": "pid_1626",
"prompt_text": "## Persona Skill Profile:\n## Fairness & Communal Values Profile \nThis participant rates communal values very ... | text_simulation_output_megastudy_v3_full/targeting_fairness/v3_megaspec/high/pid_1626/pid_1626_response | hf://datasets/Mike-deng-2002/Twin-2K-500-megastudy-causal@fad6e0fb5cd8f6bed4eb805a8bbf26277d8668d9/output/text_simulation_output_megastudy_v3_full.tar.gz |
{
"config": "text_simulation/configs/megastudy_temp0_v3_full/targeting_fairness_v3_megaspec__high.yaml",
"incomplete_reason": null,
"llm_call_error": null,
"persona_id": "pid_1483",
"prompt_text": "## Persona Skill Profile:\n## Fairness & Communal Values Profile \nThis participant rates EQUALITY, COMPASSION,... | text_simulation_output_megastudy_v3_full/targeting_fairness/v3_megaspec/high/pid_1483/pid_1483_response | hf://datasets/Mike-deng-2002/Twin-2K-500-megastudy-causal@fad6e0fb5cd8f6bed4eb805a8bbf26277d8668d9/output/text_simulation_output_megastudy_v3_full.tar.gz |
{
"config": "text_simulation/configs/megastudy_temp0_v3_full/targeting_fairness_v3_megaspec__high.yaml",
"incomplete_reason": null,
"llm_call_error": null,
"persona_id": "pid_1221",
"prompt_text": "## Persona Skill Profile:\n## Fairness & Communal Values Profile \nThis participant rates EQUALITY as highly im... | text_simulation_output_megastudy_v3_full/targeting_fairness/v3_megaspec/high/pid_1221/pid_1221_response | hf://datasets/Mike-deng-2002/Twin-2K-500-megastudy-causal@fad6e0fb5cd8f6bed4eb805a8bbf26277d8668d9/output/text_simulation_output_megastudy_v3_full.tar.gz |
{
"config": "text_simulation/configs/megastudy_temp0_v3_full/targeting_fairness_v3_megaspec__high.yaml",
"incomplete_reason": null,
"llm_call_error": null,
"persona_id": "pid_164",
"prompt_text": "## Persona Skill Profile:\n## Fairness & Communal Values Profile \nThis participant shows a strong communal valu... | text_simulation_output_megastudy_v3_full/targeting_fairness/v3_megaspec/high/pid_164/pid_164_response | hf://datasets/Mike-deng-2002/Twin-2K-500-megastudy-causal@fad6e0fb5cd8f6bed4eb805a8bbf26277d8668d9/output/text_simulation_output_megastudy_v3_full.tar.gz |
{
"config": "text_simulation/configs/megastudy_temp0_v3_full/targeting_fairness_v3_megaspec__high.yaml",
"incomplete_reason": null,
"llm_call_error": null,
"persona_id": "pid_1618",
"prompt_text": "## Persona Skill Profile:\n## Fairness & Communal Values Profile \nThis participant rates communal values very ... | text_simulation_output_megastudy_v3_full/targeting_fairness/v3_megaspec/high/pid_1618/pid_1618_response | hf://datasets/Mike-deng-2002/Twin-2K-500-megastudy-causal@fad6e0fb5cd8f6bed4eb805a8bbf26277d8668d9/output/text_simulation_output_megastudy_v3_full.tar.gz |
{
"config": "text_simulation/configs/megastudy_temp0_v3_full/targeting_fairness_v3_megaspec__high.yaml",
"incomplete_reason": null,
"llm_call_error": null,
"persona_id": "pid_1567",
"prompt_text": "## Persona Skill Profile:\n## Fairness & Communal Values Profile \nThis participant rates communal values very ... | text_simulation_output_megastudy_v3_full/targeting_fairness/v3_megaspec/high/pid_1567/pid_1567_response | hf://datasets/Mike-deng-2002/Twin-2K-500-megastudy-causal@fad6e0fb5cd8f6bed4eb805a8bbf26277d8668d9/output/text_simulation_output_megastudy_v3_full.tar.gz |
{
"config": "text_simulation/configs/megastudy_temp0_v3_full/targeting_fairness_v3_megaspec__high.yaml",
"incomplete_reason": null,
"llm_call_error": null,
"persona_id": "pid_246",
"prompt_text": "## Persona Skill Profile:\n## Fairness & Communal Values Profile \nThis participant shows moderate communal valu... | text_simulation_output_megastudy_v3_full/targeting_fairness/v3_megaspec/high/pid_246/pid_246_response | hf://datasets/Mike-deng-2002/Twin-2K-500-megastudy-causal@fad6e0fb5cd8f6bed4eb805a8bbf26277d8668d9/output/text_simulation_output_megastudy_v3_full.tar.gz |
{
"config": "text_simulation/configs/megastudy_temp0_v3_full/targeting_fairness_v3_megaspec__high.yaml",
"incomplete_reason": null,
"llm_call_error": null,
"persona_id": "pid_684",
"prompt_text": "## Persona Skill Profile:\n## Fairness & Communal Values Profile \nThis participant rates EQUALITY, COMPASSION, ... | text_simulation_output_megastudy_v3_full/targeting_fairness/v3_megaspec/high/pid_684/pid_684_response | hf://datasets/Mike-deng-2002/Twin-2K-500-megastudy-causal@fad6e0fb5cd8f6bed4eb805a8bbf26277d8668d9/output/text_simulation_output_megastudy_v3_full.tar.gz |
{
"config": "text_simulation/configs/megastudy_temp0_v3_full/targeting_fairness_v3_megaspec__high.yaml",
"incomplete_reason": null,
"llm_call_error": null,
"persona_id": "pid_487",
"prompt_text": "## Persona Skill Profile:\n## Fairness & Communal Values Profile \nThis participant shows a mixed communal value... | text_simulation_output_megastudy_v3_full/targeting_fairness/v3_megaspec/high/pid_487/pid_487_response | hf://datasets/Mike-deng-2002/Twin-2K-500-megastudy-causal@fad6e0fb5cd8f6bed4eb805a8bbf26277d8668d9/output/text_simulation_output_megastudy_v3_full.tar.gz |
{
"config": "text_simulation/configs/megastudy_temp0_v3_full/targeting_fairness_v3_megaspec__high.yaml",
"incomplete_reason": null,
"llm_call_error": null,
"persona_id": "pid_1798",
"prompt_text": "## Persona Skill Profile:\n## Fairness & Communal Values Profile \nThis participant shows a moderate communal v... | text_simulation_output_megastudy_v3_full/targeting_fairness/v3_megaspec/high/pid_1798/pid_1798_response | hf://datasets/Mike-deng-2002/Twin-2K-500-megastudy-causal@fad6e0fb5cd8f6bed4eb805a8bbf26277d8668d9/output/text_simulation_output_megastudy_v3_full.tar.gz |
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