Dataset Viewer
The dataset viewer is not available for this split.
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<ifeval: struct<name: string, alias: string, sample_len: int64, prompt_level_strict_acc,none: double, prompt_level_strict_acc_stderr,none: double, inst_level_strict_acc,none: double, inst_level_strict_acc_stderr,none: string, prompt_level_loose_acc,none: double, prompt_level_loose_acc_stderr,none: double, inst_level_loose_acc,none: double, inst_level_loose_acc_stderr,none: string>>
to
{'gsm8k': {'name': Value('string'), 'alias': Value('string'), 'sample_len': Value('int64'), 'exact_match,strict-match': Value('float64'), 'exact_match_stderr,strict-match': Value('float64'), 'exact_match,flexible-extract': Value('float64'), 'exact_match_stderr,flexible-extract': Value('float64')}}
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 2303, in cast_table_to_schema
cast_array_to_feature(
~~~~~~~~~~~~~~~~~~~~~^
table[name] if name in table_column_names else pa.array([None] * len(table), type=schema.field(name).type),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
feature,
^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1852, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
~~~~^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2149, 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<ifeval: struct<name: string, alias: string, sample_len: int64, prompt_level_strict_acc,none: double, prompt_level_strict_acc_stderr,none: double, inst_level_strict_acc,none: double, inst_level_strict_acc_stderr,none: string, prompt_level_loose_acc,none: double, prompt_level_loose_acc_stderr,none: double, inst_level_loose_acc,none: double, inst_level_loose_acc_stderr,none: string>>
to
{'gsm8k': {'name': Value('string'), 'alias': Value('string'), 'sample_len': Value('int64'), 'exact_match,strict-match': Value('float64'), 'exact_match_stderr,strict-match': Value('float64'), 'exact_match,flexible-extract': Value('float64'), 'exact_match_stderr,flexible-extract': Value('float64')}}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.
llama.cpp RX 7800 XT benchmarks
Sanitized benchmark archive for local llama.cpp/GGUF experiments on an AMD Radeon RX 7800 XT workstation. This dataset is benchmark data only: model weights, local system/network diagnostics, environment files, scripts, caches, and oversized raw dumps are excluded.
Start here
summaries/run-index.csv- index of benchmark result directories.summaries/practical-audit-index.csv- compact index of practical-audit runs.metadata.json- machine-readable sanitation and upload manifest.raw-clean/- selected raw benchmark logs with local paths and token-looking strings redacted.manifests/- included/excluded file manifests for auditability.
Sanitization policy
Redacted: local paths, temporary paths, hostnames, MAC addresses, and token-looking strings.
Excluded: model weights/checkpoints, system/network diagnostics, run.env / .env, local runner scripts, binary assets, compressed archives, files larger than 25 MB, caches, virtualenvs, and git directories.
Caveats
Some benchmark runs are exploratory, partial, failed, or intentionally blocked by model-fit/runtime constraints. Treat per-run summaries as authoritative when present and raw logs as audit evidence. Results are specific to RX 7800 XT local testing and should not be generalized to other hardware or backends without rerunning.
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