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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|>user<|message|>You write custom Triton kernels to replace the pytorch operators in the given architecture to get speedups.
You have complete freedom to choose the set of operators you want to replace. You may make the decision to replace some operators with custom Triton kernels and leave others unchange... |
<|start|>user<|message|>You write custom Triton kernels to replace the pytorch operators in the given architecture to get speedups.
You have complete freedom to choose the set of operators you want to replace. You may make the decision to replace some operators with custom Triton kernels and leave others unchange... |
<|start|>user<|message|>You write custom Triton kernels to replace the pytorch operators in the given architecture to get speedups.
You have complete freedom to choose the set of operators you want to replace. You may make the decision to replace some operators with custom Triton kernels and leave others unchange... |
<|start|>user<|message|>You write custom Triton kernels to replace the pytorch operators in the given architecture to get speedups.
You have complete freedom to choose the set of operators you want to replace. You may make the decision to replace some operators with custom Triton kernels and leave others unchange... |
"<|start|>user<|message|>You write custom Triton kernels to replace the pytorch operators in the giv(...TRUNCATED) |
"<|start|>system<|message|>You are an expert CUDA/Triton kernel optimization engineer.\nYou have obs(...TRUNCATED) |
"<|start|>user<|message|>You write custom Triton kernels to replace the pytorch operators in the giv(...TRUNCATED) |
"<|start|>user<|message|>You write custom Triton kernels to replace the pytorch operators in the giv(...TRUNCATED) |
"<|start|>user<|message|>You write custom Triton kernels to replace the pytorch operators in the giv(...TRUNCATED) |
"<|start|>user<|message|>You write custom Triton kernels to replace the pytorch operators in the giv(...TRUNCATED) |
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