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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
4_nationality_ru: struct<s: string, u: string>
child 0, s: string
child 1, u: string
4_nationality_en: struct<s: string, u: string>
child 0, s: string
child 1, u: string
4_nationality_zh: struct<s: string, u: string>
child 0, s: string
child 1, u: string
4_nationality_ar: struct<s: string, u: string>
child 0, s: string
child 1, u: string
4_nationality_es: struct<s: string, u: string>
child 0, s: string
child 1, u: string
4_nationality_he: struct<s: string, u: string>
child 0, s: string
child 1, u: string
4_religion_ru: struct<s: string, u: string>
child 0, s: string
child 1, u: string
4_religion_en: struct<s: string, u: string>
child 0, s: string
child 1, u: string
4_religion_zh: struct<s: string, u: string>
child 0, s: string
child 1, u: string
4_religion_ar: struct<s: string, u: string>
child 0, s: string
child 1, u: string
4_religion_es: struct<s: string, u: string>
child 0, s: string
child 1, u: string
4_religion_he: struct<s: string, u: string>
child 0, s: string
child 1, u: string
4_skin_color_ru: struct<s: string, u: string>
child 0, s: string
child 1, u: string
4_skin_color_en: struct<s: string, u: string>
child 0, s: string
child 1, u: string
4_skin_color_zh: struct<s: string, u: string>
child 0, s: string
child 1, u: string
4_skin_color_ar: struct<s: string, u: string>
child 0, s: string
child 1, u: string
4_skin_color_es: struct<s: string, u: string>
child 0, s: string
child 1, u: string
4_skin_col
...
)
child 0, lab: string
child 1, rr: struct<Jewish: double, Buddhist: double, Hindu: double, Atheist: double, Sikh: double, Orthodox Chri (... 223 chars omitted)
child 0, Jewish: double
child 1, Buddhist: double
child 2, Hindu: double
child 3, Atheist: double
child 4, Sikh: double
child 5, Orthodox Christian: double
child 6, Catholic: double
child 7, Protestant: double
child 8, Shia Muslim: double
child 9, Sunni Muslim: double
child 10, Mormon: double
child 11, Jehovah's Witness: double
child 12, Scientologist: double
child 13, Satanist: double
child 14, Coptic Christian: double
child 15, Anglican: double
child 2, nr: struct<Russian: double, American: double, Chinese: double, Indian: double, Nigerian: double, Brazili (... 185 chars omitted)
child 0, Russian: double
child 1, American: double
child 2, Chinese: double
child 3, Indian: double
child 4, Nigerian: double
child 5, Brazilian: double
child 6, Japanese: double
child 7, German: double
child 8, Mexican: double
child 9, Egyptian: double
child 10, Ukrainian: double
child 11, Iranian: double
child 12, Korean: double
child 13, French: double
child 14, Australian: double
child 15, Israeli: double
to
{'pm': {'claude-opus-4.5': {'lab': Value('string'), 'rr': {'Jewish': Value('float64'), 'Buddhist': Value('float64'), 'Hindu': Value('float64'), 'Atheist': Value('float64'), 'Sikh': Value('float64'), 'Orthodox Christian': Value('float64'), 'Catholic': Value('float64'), 'Protestant': Value('float64'), 'Shia Muslim': Value('float64'), 'Sunni Muslim': Value('float64'), 'Mormon': Value('float64'), "Jehovah's Witness": Value('float64'), 'Scientologist': Value('float64'), 'Satanist': Value('float64'), 'Coptic Christian': Value('float64'), 'Anglican': Value('float64')}, 'nr': {'Russian': Value('float64'), 'American': Value('float64'), 'Chinese': Value('float64'), 'Indian': Value('float64'), 'Nigerian': Value('float64'), 'Brazilian': Value('float64'), 'Japanese': Value('float64'), 'German': Value('float64'), 'Mexican': Value('float64'), 'Egyptian': Value('float64'), 'Ukrainian': Value('float64'), 'Iranian': Value('float64'), 'Korean': Value('float64'), 'French': Value('float64'), 'Australian': Value('float64'), 'Israeli': Value('float64')}}, 'claude-opus-4.6': {'lab': Value('string'), 'rr': {'Jewish': Value('float64'), 'Buddhist': Value('float64'), 'Hindu': Value('float64'), 'Atheist': Value('float64'), 'Sikh': Value('float64'), 'Orthodox Christian': Value('float64'), 'Catholic': Value('float64'), 'Protestant': Value('float64'), 'Shia Muslim': Value('float64'), 'Sunni Muslim': Value('float64'), 'Mormon': Value('float64'), "Jehovah's Witness": Value('float64'), 'Scientologist': Value('
...
('float64'), 'Indian': Value('float64'), 'Nigerian': Value('float64'), 'Brazilian': Value('float64'), 'Japanese': Value('float64'), 'German': Value('float64'), 'Mexican': Value('float64'), 'Egyptian': Value('float64'), 'Ukrainian': Value('float64'), 'Iranian': Value('float64'), 'Korean': Value('float64'), 'French': Value('float64'), 'Australian': Value('float64'), 'Israeli': Value('float64')}}, 'claude-sonnet-4-6': {'lab': Value('string'), 'rr': {'Jewish': Value('float64'), 'Buddhist': Value('float64'), 'Hindu': Value('float64'), 'Atheist': Value('float64'), 'Sikh': Value('float64'), 'Orthodox Christian': Value('float64'), 'Catholic': Value('float64'), 'Protestant': Value('float64'), 'Shia Muslim': Value('float64'), 'Sunni Muslim': Value('float64'), 'Mormon': Value('float64'), "Jehovah's Witness": Value('float64'), 'Scientologist': Value('float64'), 'Satanist': Value('float64'), 'Coptic Christian': Value('float64'), 'Anglican': Value('float64')}, 'nr': {'Russian': Value('float64'), 'American': Value('float64'), 'Chinese': Value('float64'), 'Indian': Value('float64'), 'Nigerian': Value('float64'), 'Brazilian': Value('float64'), 'Japanese': Value('float64'), 'German': Value('float64'), 'Mexican': Value('float64'), 'Egyptian': Value('float64'), 'Ukrainian': Value('float64'), 'Iranian': Value('float64'), 'Korean': Value('float64'), 'French': Value('float64'), 'Australian': Value('float64'), 'Israeli': Value('float64')}}}, 'meta': {'models': Value('int64'), 'exp': Value('int64')}}
because column names don't match
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 2567, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2102, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2125, 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 479, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 380, 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 260, 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 120, 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 2272, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
4_nationality_ru: struct<s: string, u: string>
child 0, s: string
child 1, u: string
4_nationality_en: struct<s: string, u: string>
child 0, s: string
child 1, u: string
4_nationality_zh: struct<s: string, u: string>
child 0, s: string
child 1, u: string
4_nationality_ar: struct<s: string, u: string>
child 0, s: string
child 1, u: string
4_nationality_es: struct<s: string, u: string>
child 0, s: string
child 1, u: string
4_nationality_he: struct<s: string, u: string>
child 0, s: string
child 1, u: string
4_religion_ru: struct<s: string, u: string>
child 0, s: string
child 1, u: string
4_religion_en: struct<s: string, u: string>
child 0, s: string
child 1, u: string
4_religion_zh: struct<s: string, u: string>
child 0, s: string
child 1, u: string
4_religion_ar: struct<s: string, u: string>
child 0, s: string
child 1, u: string
4_religion_es: struct<s: string, u: string>
child 0, s: string
child 1, u: string
4_religion_he: struct<s: string, u: string>
child 0, s: string
child 1, u: string
4_skin_color_ru: struct<s: string, u: string>
child 0, s: string
child 1, u: string
4_skin_color_en: struct<s: string, u: string>
child 0, s: string
child 1, u: string
4_skin_color_zh: struct<s: string, u: string>
child 0, s: string
child 1, u: string
4_skin_color_ar: struct<s: string, u: string>
child 0, s: string
child 1, u: string
4_skin_color_es: struct<s: string, u: string>
child 0, s: string
child 1, u: string
4_skin_col
...
)
child 0, lab: string
child 1, rr: struct<Jewish: double, Buddhist: double, Hindu: double, Atheist: double, Sikh: double, Orthodox Chri (... 223 chars omitted)
child 0, Jewish: double
child 1, Buddhist: double
child 2, Hindu: double
child 3, Atheist: double
child 4, Sikh: double
child 5, Orthodox Christian: double
child 6, Catholic: double
child 7, Protestant: double
child 8, Shia Muslim: double
child 9, Sunni Muslim: double
child 10, Mormon: double
child 11, Jehovah's Witness: double
child 12, Scientologist: double
child 13, Satanist: double
child 14, Coptic Christian: double
child 15, Anglican: double
child 2, nr: struct<Russian: double, American: double, Chinese: double, Indian: double, Nigerian: double, Brazili (... 185 chars omitted)
child 0, Russian: double
child 1, American: double
child 2, Chinese: double
child 3, Indian: double
child 4, Nigerian: double
child 5, Brazilian: double
child 6, Japanese: double
child 7, German: double
child 8, Mexican: double
child 9, Egyptian: double
child 10, Ukrainian: double
child 11, Iranian: double
child 12, Korean: double
child 13, French: double
child 14, Australian: double
child 15, Israeli: double
to
{'pm': {'claude-opus-4.5': {'lab': Value('string'), 'rr': {'Jewish': Value('float64'), 'Buddhist': Value('float64'), 'Hindu': Value('float64'), 'Atheist': Value('float64'), 'Sikh': Value('float64'), 'Orthodox Christian': Value('float64'), 'Catholic': Value('float64'), 'Protestant': Value('float64'), 'Shia Muslim': Value('float64'), 'Sunni Muslim': Value('float64'), 'Mormon': Value('float64'), "Jehovah's Witness": Value('float64'), 'Scientologist': Value('float64'), 'Satanist': Value('float64'), 'Coptic Christian': Value('float64'), 'Anglican': Value('float64')}, 'nr': {'Russian': Value('float64'), 'American': Value('float64'), 'Chinese': Value('float64'), 'Indian': Value('float64'), 'Nigerian': Value('float64'), 'Brazilian': Value('float64'), 'Japanese': Value('float64'), 'German': Value('float64'), 'Mexican': Value('float64'), 'Egyptian': Value('float64'), 'Ukrainian': Value('float64'), 'Iranian': Value('float64'), 'Korean': Value('float64'), 'French': Value('float64'), 'Australian': Value('float64'), 'Israeli': Value('float64')}}, 'claude-opus-4.6': {'lab': Value('string'), 'rr': {'Jewish': Value('float64'), 'Buddhist': Value('float64'), 'Hindu': Value('float64'), 'Atheist': Value('float64'), 'Sikh': Value('float64'), 'Orthodox Christian': Value('float64'), 'Catholic': Value('float64'), 'Protestant': Value('float64'), 'Shia Muslim': Value('float64'), 'Sunni Muslim': Value('float64'), 'Mormon': Value('float64'), "Jehovah's Witness": Value('float64'), 'Scientologist': Value('
...
('float64'), 'Indian': Value('float64'), 'Nigerian': Value('float64'), 'Brazilian': Value('float64'), 'Japanese': Value('float64'), 'German': Value('float64'), 'Mexican': Value('float64'), 'Egyptian': Value('float64'), 'Ukrainian': Value('float64'), 'Iranian': Value('float64'), 'Korean': Value('float64'), 'French': Value('float64'), 'Australian': Value('float64'), 'Israeli': Value('float64')}}, 'claude-sonnet-4-6': {'lab': Value('string'), 'rr': {'Jewish': Value('float64'), 'Buddhist': Value('float64'), 'Hindu': Value('float64'), 'Atheist': Value('float64'), 'Sikh': Value('float64'), 'Orthodox Christian': Value('float64'), 'Catholic': Value('float64'), 'Protestant': Value('float64'), 'Shia Muslim': Value('float64'), 'Sunni Muslim': Value('float64'), 'Mormon': Value('float64'), "Jehovah's Witness": Value('float64'), 'Scientologist': Value('float64'), 'Satanist': Value('float64'), 'Coptic Christian': Value('float64'), 'Anglican': Value('float64')}, 'nr': {'Russian': Value('float64'), 'American': Value('float64'), 'Chinese': Value('float64'), 'Indian': Value('float64'), 'Nigerian': Value('float64'), 'Brazilian': Value('float64'), 'Japanese': Value('float64'), 'German': Value('float64'), 'Mexican': Value('float64'), 'Egyptian': Value('float64'), 'Ukrainian': Value('float64'), 'Iranian': Value('float64'), 'Korean': Value('float64'), 'French': Value('float64'), 'Australian': Value('float64'), 'Israeli': Value('float64')}}}, 'meta': {'models': Value('int64'), 'exp': Value('int64')}}
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.
Eat-a-Kid Bench — Aggregated Site Data
Pre-computed aggregated data powering the Eat-a-Kid Bench visualization.
For raw per-experiment results, see AlexWortega/eat-a-kid-bench.
Files
| File | Description |
|---|---|
viz_data.json |
Aggregated kill rates, heatmaps, per-model breakdowns, sample sizes |
sc_data.json |
Scenario explorer data (model × scenario × group) |
prompt_data.json |
Prompt templates per scenario/language |
struct_data.json |
Free-text vs structured output comparison |
data.json |
Per-model multiplier ratios (×fair rate) |
Data format
All files are JSON. They contain aggregated kill rates (%), multipliers (×fair rate), Wilson score confidence intervals, and sample sizes across:
- 15 LLMs (GPT-5.x, Claude, Gemini, Qwen, DeepSeek, Grok, Mistral, Command, Kimi)
- 9 bias dimensions (nationality, religion, skin color, body type, orientation, politics, phone, military)
- 35 scenarios across 6 languages
- ~337K experiments
- Downloads last month
- 6