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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: TypeError
Message: Couldn't cast array of type
struct<n_samples: double, n_ok: double, ok_rate: double, persona_consistency_mean: double, accuracy: double, persona_consistency_p50: double, persona_consistency_p95: double, accuracy_p05: double, accuracy_p50: double, accuracy_p95: double, drift_rate: double, ttft_p50_ms: double, total_p50_ms: double, tokens_out_total: double>
to
{'ttft_p50_ms': Value('float64'), 'ttft_p99_ms': Value('float64'), 'tpot_p50_ms': Value('float64'), 'tpot_p99_ms': Value('float64'), 'total_p50_ms': Value('float64'), 'total_p99_ms': Value('float64'), 'req_per_s_passing': Value('float64'), 'req_per_s_all': Value('float64'), 'compliance_rate': Value('float64'), 'ok_rate': Value('float64'), 'throughput_tok_per_s': Value('float64'), 'power_avg_w': Value('float64'), 'power_peak_w': Value('float64'), 'energy_joules_total': Value('float64'), 'joules_per_token': Value('float64'), 'slo_hardware_class': Value('string'), 'slo_template_resolved': Value('string')}
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
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 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2255, in cast_table_to_schema
cast_array_to_feature(
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1804, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2101, in cast_array_to_feature
raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
TypeError: Couldn't cast array of type
struct<n_samples: double, n_ok: double, ok_rate: double, persona_consistency_mean: double, accuracy: double, persona_consistency_p50: double, persona_consistency_p95: double, accuracy_p05: double, accuracy_p50: double, accuracy_p95: double, drift_rate: double, ttft_p50_ms: double, total_p50_ms: double, tokens_out_total: double>
to
{'ttft_p50_ms': Value('float64'), 'ttft_p99_ms': Value('float64'), 'tpot_p50_ms': Value('float64'), 'tpot_p99_ms': Value('float64'), 'total_p50_ms': Value('float64'), 'total_p99_ms': Value('float64'), 'req_per_s_passing': Value('float64'), 'req_per_s_all': Value('float64'), 'compliance_rate': Value('float64'), 'ok_rate': Value('float64'), 'throughput_tok_per_s': Value('float64'), 'power_avg_w': Value('float64'), 'power_peak_w': Value('float64'), 'energy_joules_total': Value('float64'), 'joules_per_token': Value('float64'), 'slo_hardware_class': Value('string'), 'slo_template_resolved': Value('string')}Need 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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