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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
model: string
quant: string
artifact: string
date: timestamp[s]
harness: string
judge: string
kind: string
suite: string
n: int64
metric: string
value: string
baseline_bf16: double
trials: string
grading: string
note: string
config: string
hardware: string
engine: string
regime: string
ttft_p50_ms: double
tpot_p50_ms: double
method: string
budget: int64
concurrency: int64
baseline_fp8_official: double
to
{'model': Value('string'), 'date': Value('timestamp[s]'), 'harness': Value('string'), 'judge': Value('string'), 'budget': Value('int64'), 'kind': Value('string'), 'artifact': Value('string'), 'quant': Value('string'), 'suite': Value('string'), 'n': Value('int64'), 'metric': Value('string'), 'value': Json(decode=True), 'baseline_fp8_official': Value('float64'), 'grading': Value('string'), 'trials': Value('int64'), 'config': Value('string'), 'hardware': Value('string'), 'regime': Value('string'), 'concurrency': Value('int64'), 'ttft_p50_ms': Value('int64'), 'tpot_p50_ms': Value('float64'), 'method': Value('string'), 'note': 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 478, 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 2818, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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 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
model: string
quant: string
artifact: string
date: timestamp[s]
harness: string
judge: string
kind: string
suite: string
n: int64
metric: string
value: string
baseline_bf16: double
trials: string
grading: string
note: string
config: string
hardware: string
engine: string
regime: string
ttft_p50_ms: double
tpot_p50_ms: double
method: string
budget: int64
concurrency: int64
baseline_fp8_official: double
to
{'model': Value('string'), 'date': Value('timestamp[s]'), 'harness': Value('string'), 'judge': Value('string'), 'budget': Value('int64'), 'kind': Value('string'), 'artifact': Value('string'), 'quant': Value('string'), 'suite': Value('string'), 'n': Value('int64'), 'metric': Value('string'), 'value': Json(decode=True), 'baseline_fp8_official': Value('float64'), 'grading': Value('string'), 'trials': Value('int64'), 'config': Value('string'), 'hardware': Value('string'), 'regime': Value('string'), 'concurrency': Value('int64'), 'ttft_p50_ms': Value('int64'), 'tpot_p50_ms': Value('float64'), 'method': Value('string'), 'note': 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.
protoLabs lab-benchmarks
Every number on a protoLabsAI model card traces to a row here. Release-gate results (quant vs bf16 baseline, paired task sets, outliers re-trialed x3 both sides), speed-test-v2 regime matrices (InferenceMAX-style: seeded random dataset, client-side TTFT/TPOT p50/p99, goodput), decode-at-depth ladders, and coherence-probe verdicts.
Methodology: single-stream-only numbers are never published without load numbers; spec-decode accept% is reported per workload (random-data benches understate it ~2.5x); LLM-judged suites are gated behind deterministic ones. Harness: protoLabsAI/protoLab evals.
CC-BY-4.0 — cite, steal, argue. Charts: protolabs.studio/lab
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