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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
task_count: int64
initial_failure_count: int64
B0: struct<initial_compile_rate: double, initial_functional_rate: double, generation_latency_s: struct<p (... 141 chars omitted)
child 0, initial_compile_rate: double
child 1, initial_functional_rate: double
child 2, generation_latency_s: struct<p50: double, p90: double, p95: double>
child 0, p50: double
child 1, p90: double
child 2, p95: double
child 3, decode_tokens_per_second: struct<p50: double, p90: double, p95: double>
child 0, p50: double
child 1, p90: double
child 2, p95: double
child 4, hit_token_limit_rate: double
repair: struct<B1: struct<cr_at_1: double, cr_at_2: double, cr_at_3: double, cr_at_4: double, cr_at_5: doubl (... 2943 chars omitted)
child 0, B1: struct<cr_at_1: double, cr_at_2: double, cr_at_3: double, cr_at_4: double, cr_at_5: double, fr_at_1: (... 906 chars omitted)
child 0, cr_at_1: double
child 1, cr_at_2: double
child 2, cr_at_3: double
child 3, cr_at_4: double
child 4, cr_at_5: double
child 5, fr_at_1: double
child 6, fr_at_2: double
child 7, fr_at_3: double
child 8, fr_at_4: double
child 9, fr_at_5: double
child 10, repair_auc: double
child 11, successful_rounds: struct<mean: double, median: int64, p90: double>
child 0, mean: double
child 1, median: int64
child 2, p90: double
child 12, ttc_success_s: struct<p50: double, p90: double, p95: double>
...
functional_repairs_per_gpu_minute: double
child 22, error_categories: struct<identifier/name resolution: struct<n: int64, cr_at_1: double, cr_at_5: double>, preprocessor/ (... 59 chars omitted)
child 0, identifier/name resolution: struct<n: int64, cr_at_1: double, cr_at_5: double>
child 0, n: int64
child 1, cr_at_1: double
child 2, cr_at_5: double
child 1, preprocessor/header: struct<n: int64, cr_at_1: double, cr_at_5: double>
child 0, n: int64
child 1, cr_at_1: double
child 2, cr_at_5: double
effective_max_input_tokens: int64
gpu: string
platform: string
torch: string
gpu_vram_gib: double
torch_cuda: string
config: struct<dataset: string, models: list<item: string>, conditions: list<item: string>, max_rounds: int6 (... 239 chars omitted)
child 0, dataset: string
child 1, models: list<item: string>
child 0, item: string
child 2, conditions: list<item: string>
child 0, item: string
child 3, max_rounds: int64
child 4, max_tasks: int64
child 5, max_new_tokens: int64
child 6, max_input_tokens: int64
child 7, dtype: string
child 8, attn_implementation: string
child 9, compiler: string
child 10, compile_timeout_s: int64
child 11, test_timeout_s: int64
child 12, max_tests_per_task: int64
child 13, seed: int64
child 14, output_dir: string
compiler_version: string
model_revision: string
model: string
transformers: string
python: string
to
{'model': Value('string'), 'model_revision': Value('string'), 'compiler_version': Value('string'), 'python': Value('string'), 'platform': Value('string'), 'torch': Value('string'), 'torch_cuda': Value('string'), 'transformers': Value('string'), 'gpu': Value('string'), 'gpu_vram_gib': Value('float64'), 'effective_max_input_tokens': Value('int64'), 'config': {'dataset': Value('string'), 'models': List(Value('string')), 'conditions': List(Value('string')), 'max_rounds': Value('int64'), 'max_tasks': Value('int64'), 'max_new_tokens': Value('int64'), 'max_input_tokens': Value('int64'), 'dtype': Value('string'), 'attn_implementation': Value('string'), 'compiler': Value('string'), 'compile_timeout_s': Value('int64'), 'test_timeout_s': Value('int64'), 'max_tests_per_task': Value('int64'), 'seed': Value('int64'), 'output_dir': Value('string')}}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
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 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
task_count: int64
initial_failure_count: int64
B0: struct<initial_compile_rate: double, initial_functional_rate: double, generation_latency_s: struct<p (... 141 chars omitted)
child 0, initial_compile_rate: double
child 1, initial_functional_rate: double
child 2, generation_latency_s: struct<p50: double, p90: double, p95: double>
child 0, p50: double
child 1, p90: double
child 2, p95: double
child 3, decode_tokens_per_second: struct<p50: double, p90: double, p95: double>
child 0, p50: double
child 1, p90: double
child 2, p95: double
child 4, hit_token_limit_rate: double
repair: struct<B1: struct<cr_at_1: double, cr_at_2: double, cr_at_3: double, cr_at_4: double, cr_at_5: doubl (... 2943 chars omitted)
child 0, B1: struct<cr_at_1: double, cr_at_2: double, cr_at_3: double, cr_at_4: double, cr_at_5: double, fr_at_1: (... 906 chars omitted)
child 0, cr_at_1: double
child 1, cr_at_2: double
child 2, cr_at_3: double
child 3, cr_at_4: double
child 4, cr_at_5: double
child 5, fr_at_1: double
child 6, fr_at_2: double
child 7, fr_at_3: double
child 8, fr_at_4: double
child 9, fr_at_5: double
child 10, repair_auc: double
child 11, successful_rounds: struct<mean: double, median: int64, p90: double>
child 0, mean: double
child 1, median: int64
child 2, p90: double
child 12, ttc_success_s: struct<p50: double, p90: double, p95: double>
...
functional_repairs_per_gpu_minute: double
child 22, error_categories: struct<identifier/name resolution: struct<n: int64, cr_at_1: double, cr_at_5: double>, preprocessor/ (... 59 chars omitted)
child 0, identifier/name resolution: struct<n: int64, cr_at_1: double, cr_at_5: double>
child 0, n: int64
child 1, cr_at_1: double
child 2, cr_at_5: double
child 1, preprocessor/header: struct<n: int64, cr_at_1: double, cr_at_5: double>
child 0, n: int64
child 1, cr_at_1: double
child 2, cr_at_5: double
effective_max_input_tokens: int64
gpu: string
platform: string
torch: string
gpu_vram_gib: double
torch_cuda: string
config: struct<dataset: string, models: list<item: string>, conditions: list<item: string>, max_rounds: int6 (... 239 chars omitted)
child 0, dataset: string
child 1, models: list<item: string>
child 0, item: string
child 2, conditions: list<item: string>
child 0, item: string
child 3, max_rounds: int64
child 4, max_tasks: int64
child 5, max_new_tokens: int64
child 6, max_input_tokens: int64
child 7, dtype: string
child 8, attn_implementation: string
child 9, compiler: string
child 10, compile_timeout_s: int64
child 11, test_timeout_s: int64
child 12, max_tests_per_task: int64
child 13, seed: int64
child 14, output_dir: string
compiler_version: string
model_revision: string
model: string
transformers: string
python: string
to
{'model': Value('string'), 'model_revision': Value('string'), 'compiler_version': Value('string'), 'python': Value('string'), 'platform': Value('string'), 'torch': Value('string'), 'torch_cuda': Value('string'), 'transformers': Value('string'), 'gpu': Value('string'), 'gpu_vram_gib': Value('float64'), 'effective_max_input_tokens': Value('int64'), 'config': {'dataset': Value('string'), 'models': List(Value('string')), 'conditions': List(Value('string')), 'max_rounds': Value('int64'), 'max_tasks': Value('int64'), 'max_new_tokens': Value('int64'), 'max_input_tokens': Value('int64'), 'dtype': Value('string'), 'attn_implementation': Value('string'), 'compiler': Value('string'), 'compile_timeout_s': Value('int64'), 'test_timeout_s': Value('int64'), 'max_tests_per_task': Value('int64'), 'seed': Value('int64'), 'output_dir': Value('string')}}
because column names don't matchNeed 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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