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Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code: FeaturesError
Exception: ArrowInvalid
Message: Schema at index 1 was different:
timestamp: string
config: struct<level: string, dataset_src: string, kernelbench_dir: null, problems: null, start: null, end: null, iterations: int64, backend: string, precision: string, use_modal: bool, modal_gpu: string, model: string, workers: int64, output_dir: string, compile_results: bool, skip_completed: bool>
levels: list<item: int64>
total_time_seconds: double
successful: int64
failed: int64
results: list<item: struct<problem_id: int64, success: bool, best_score: double, elapsed: double, summary: struct<level: int64, problem_id: int64, best_score: double, metrics: struct<stage1_passed: double, error: double>, iterations: int64, backend: string, precision: string>, level: int64>>
vs
id: string
generation: int64
iteration: int64
timestamp: double
parent_id: null
metrics: struct<stage1_passed: double, error: double>
language: string
saved_at: double
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 243, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 3608, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2368, in _head
return next(iter(self.iter(batch_size=n)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2573, in iter
for key, example in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2060, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2082, in _iter_arrow
yield from self.ex_iterable._iter_arrow()
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 572, in _iter_arrow
yield new_key, pa.Table.from_batches(chunks_buffer)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "pyarrow/table.pxi", line 5039, in pyarrow.lib.Table.from_batches
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.ArrowInvalid: Schema at index 1 was different:
timestamp: string
config: struct<level: string, dataset_src: string, kernelbench_dir: null, problems: null, start: null, end: null, iterations: int64, backend: string, precision: string, use_modal: bool, modal_gpu: string, model: string, workers: int64, output_dir: string, compile_results: bool, skip_completed: bool>
levels: list<item: int64>
total_time_seconds: double
successful: int64
failed: int64
results: list<item: struct<problem_id: int64, success: bool, best_score: double, elapsed: double, summary: struct<level: int64, problem_id: int64, best_score: double, metrics: struct<stage1_passed: double, error: double>, iterations: int64, backend: string, precision: string>, level: int64>>
vs
id: string
generation: int64
iteration: int64
timestamp: double
parent_id: null
metrics: struct<stage1_passed: double, error: double>
language: string
saved_at: doubleNeed 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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