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The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
format: string
state: string
source_identity: string
source_revision: string
source_origin: string
source_input_binding: struct<source_snapshot_path: string, source_selected_tree_sha256: string, source_selected_files: lis (... 100 chars omitted)
child 0, source_snapshot_path: string
child 1, source_selected_tree_sha256: string
child 2, source_selected_files: list<item: struct<path: string, purpose: string, bytes: int64, sha256: string, sha256_method: string (... 2 chars omitted)
child 0, item: struct<path: string, purpose: string, bytes: int64, sha256: string, sha256_method: string>
child 0, path: string
child 1, purpose: string
child 2, bytes: int64
child 3, sha256: string
child 4, sha256_method: string
adapter_contract: string
filter_contract: string
renderer: string
counts: struct<units_seen: int64, kept: int64, repaired: int64, rejected: int64, excluded: int64, aliases: i (... 5 chars omitted)
child 0, units_seen: int64
child 1, kept: int64
child 2, repaired: int64
child 3, rejected: int64
child 4, excluded: int64
child 5, aliases: int64
schema: struct<primary_training_column: string, required_columns: list<item: string>>
child 0, primary_training_column: string
child 1, required_columns: list<item: string>
child 0, item: string
text: string
to
{'text': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1816, in _prepare_split_single
for key, table 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/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
format: string
state: string
source_identity: string
source_revision: string
source_origin: string
source_input_binding: struct<source_snapshot_path: string, source_selected_tree_sha256: string, source_selected_files: lis (... 100 chars omitted)
child 0, source_snapshot_path: string
child 1, source_selected_tree_sha256: string
child 2, source_selected_files: list<item: struct<path: string, purpose: string, bytes: int64, sha256: string, sha256_method: string (... 2 chars omitted)
child 0, item: struct<path: string, purpose: string, bytes: int64, sha256: string, sha256_method: string>
child 0, path: string
child 1, purpose: string
child 2, bytes: int64
child 3, sha256: string
child 4, sha256_method: string
adapter_contract: string
filter_contract: string
renderer: string
counts: struct<units_seen: int64, kept: int64, repaired: int64, rejected: int64, excluded: int64, aliases: i (... 5 chars omitted)
child 0, units_seen: int64
child 1, kept: int64
child 2, repaired: int64
child 3, rejected: int64
child 4, excluded: int64
child 5, aliases: int64
schema: struct<primary_training_column: string, required_columns: list<item: string>>
child 0, primary_training_column: string
child 1, required_columns: list<item: string>
child 0, item: string
text: string
to
{'text': Value('string')}
because column names don't match
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 1683, 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 1869, 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.
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<|start|>system<|message|>You are an autonomous coding agent working in a real repository on the user's machine.
Use the exec tool to inspect files, run commands, edit code, and verify your work. The tool accepts JavaScript orchestration source. Common nested calls are `tools.exec_command({cmd, workdir, yield_time_ms,... |
<|start|>system<|message|>You are an autonomous coding agent working in a real repository on the user's machine.
Use the exec tool to inspect files, run commands, edit code, and verify your work. The tool accepts JavaScript orchestration source. Common nested calls are `tools.exec_command({cmd, workdir, yield_time_ms,... |
<|start|>system<|message|>You are an autonomous coding agent working in a real repository on the user's machine.
Use the exec tool to inspect files, run commands, edit code, and verify your work. The tool accepts JavaScript orchestration source. Common nested calls are `tools.exec_command({cmd, workdir, yield_time_ms,... |
<|start|>system<|message|>You are an autonomous coding agent working in a real repository on the user's machine.
Use the exec tool to inspect files, run commands, edit code, and verify your work. The tool accepts JavaScript orchestration source. Common nested calls are `tools.exec_command({cmd, workdir, yield_time_ms,... |
<|start|>system<|message|>You are an autonomous coding agent working in a real repository on the user's machine.
Use the exec tool to inspect files, run commands, edit code, and verify your work. The tool accepts JavaScript orchestration source. Common nested calls are `tools.exec_command({cmd, workdir, yield_time_ms,... |
<|start|>system<|message|>You are an autonomous coding agent working in a real repository on the user's machine.
Use the exec tool to inspect files, run commands, edit code, and verify your work. The tool accepts JavaScript orchestration source. Common nested calls are `tools.exec_command({cmd, workdir, yield_time_ms,... |
<|start|>system<|message|>You are an autonomous coding agent working in a real repository on the user's machine.
Use the exec tool to inspect files, run commands, edit code, and verify your work. The tool accepts JavaScript orchestration source. Common nested calls are `tools.exec_command({cmd, workdir, yield_time_ms,... |
<|start|>system<|message|>You are an autonomous coding agent working in a real repository on the user's machine.
Use the exec tool to inspect files, run commands, edit code, and verify your work. The tool accepts JavaScript orchestration source. Common nested calls are `tools.exec_command({cmd, workdir, yield_time_ms,... |
<|start|>system<|message|>You are an autonomous coding agent working in a real repository on the user's machine.
Use the exec tool to inspect files, run commands, edit code, and verify your work. The tool accepts JavaScript orchestration source. Common nested calls are `tools.exec_command({cmd, workdir, yield_time_ms,... |
<|start|>system<|message|>You are an autonomous coding agent working in a real repository on the user's machine.
Use the exec tool to inspect files, run commands, edit code, and verify your work. The tool accepts JavaScript orchestration source. Common nested calls are `tools.exec_command({cmd, workdir, yield_time_ms,... |
<|start|>system<|message|>You are an autonomous coding agent working in a real repository on the user's machine.
Use the exec tool to inspect files, run commands, edit code, and verify your work. The tool accepts JavaScript orchestration source. Common nested calls are `tools.exec_command({cmd, workdir, yield_time_ms,... |
<|start|>system<|message|>You are an autonomous coding agent working in a real repository on the user's machine.
Use the exec tool to inspect files, run commands, edit code, and verify your work. The tool accepts JavaScript orchestration source. Common nested calls are `tools.exec_command({cmd, workdir, yield_time_ms,... |
<|start|>system<|message|>You are an autonomous coding agent working in a real repository on the user's machine.
Use the exec tool to inspect files, run commands, edit code, and verify your work. The tool accepts JavaScript orchestration source. Common nested calls are `tools.exec_command({cmd, workdir, yield_time_ms,... |
<|start|>system<|message|>You are an autonomous coding agent working in a real repository on the user's machine.
Use the exec tool to inspect files, run commands, edit code, and verify your work. The tool accepts JavaScript orchestration source. Common nested calls are `tools.exec_command({cmd, workdir, yield_time_ms,... |
<|start|>system<|message|>You are an autonomous coding agent working in a real repository on the user's machine.
Use the exec tool to inspect files, run commands, edit code, and verify your work. The tool accepts JavaScript orchestration source. Common nested calls are `tools.exec_command({cmd, workdir, yield_time_ms,... |
<|start|>system<|message|>You are an autonomous coding agent working in a real repository on the user's machine.
Use the exec tool to inspect files, run commands, edit code, and verify your work. The tool accepts JavaScript orchestration source. Common nested calls are `tools.exec_command({cmd, workdir, yield_time_ms,... |
<|start|>system<|message|>You are an autonomous coding agent working in a real repository on the user's machine.
Use the exec tool to inspect files, run commands, edit code, and verify your work. The tool accepts JavaScript orchestration source. Common nested calls are `tools.exec_command({cmd, workdir, yield_time_ms,... |
<|start|>system<|message|>You are an autonomous coding agent working in a real repository on the user's machine.
Use the exec tool to inspect files, run commands, edit code, and verify your work. The tool accepts JavaScript orchestration source. Common nested calls are `tools.exec_command({cmd, workdir, yield_time_ms,... |
<|start|>system<|message|>You are an autonomous coding agent working in a real repository on the user's machine.
Use the exec tool to inspect files, run commands, edit code, and verify your work. The tool accepts JavaScript orchestration source. Common nested calls are `tools.exec_command({cmd, workdir, yield_time_ms,... |
<|start|>system<|message|>You are an autonomous coding agent working in a real repository on the user's machine.
Use the exec tool to inspect files, run commands, edit code, and verify your work. The tool accepts JavaScript orchestration source. Common nested calls are `tools.exec_command({cmd, workdir, yield_time_ms,... |
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