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<arc_easy: struct<metric: string, value: double, all_metrics: struct<alias: string, acc,none: double, acc_stderr,none: double, acc_norm,none: double, acc_norm_stderr,none: double>>>
to
{'arc_challenge': {'metric': Value('string'), 'value': Value('float64'), 'all_metrics': {'alias': Value('string'), 'acc,none': Value('float64'), 'acc_stderr,none': Value('float64'), 'acc_norm,none': Value('float64'), 'acc_norm_stderr,none': Value('float64')}}}
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 2815, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2352, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2377, 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 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/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/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 310, 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 130, 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 2369, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2303, in cast_table_to_schema
cast_array_to_feature(
File "/usr/local/lib/python3.12/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/python3.12/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<arc_easy: struct<metric: string, value: double, all_metrics: struct<alias: string, acc,none: double, acc_stderr,none: double, acc_norm,none: double, acc_norm_stderr,none: double>>>
to
{'arc_challenge': {'metric': Value('string'), 'value': Value('float64'), 'all_metrics': {'alias': Value('string'), 'acc,none': Value('float64'), 'acc_stderr,none': Value('float64'), 'acc_norm,none': Value('float64'), 'acc_norm_stderr,none': 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.
Mycelium Evaluation Artifact
This repository contains sanitized evaluation artifacts for the Mycelium project.
Contents
- Benchmark reports
- Attack audit reports
- Aggregate metrics
- Provenance summaries
- Artifact manifests
- Paper sources when available
- Result tables
Not included
- Raw harmful prompt text
- Raw harmful generations
- Base model caches
- Private raw audit files
Purpose
This artifact supports reproducibility and auditability for the paper Mycelium: Safety Should Be Expensive to Remove.
Citation
Sezer et al. 2026. Mycelium: Safety Should Be Expensive to Remove. Technical report.
Authors: Nedim Mutlu Sezer, Ahmet Rifat Ozturk, Yagiz Ekrem Dalar, Omer Faruk Aksoy, Feyzi Arda Salihoglu.
- Downloads last month
- 442