Datasets:
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: CastError
Message: Couldn't cast
$schema: string
$id: string
title: string
description: string
type: string
required: list<item: string>
child 0, item: string
additionalProperties: bool
properties: struct<app: struct<type: string>, version: struct<type: string, description: string>, platform: stru (... 2246 chars omitted)
child 0, app: struct<type: string>
child 0, type: string
child 1, version: struct<type: string, description: string>
child 0, type: string
child 1, description: string
child 2, platform: struct<type: string, enum: list<item: string>>
child 0, type: string
child 1, enum: list<item: string>
child 0, item: string
child 3, character_used: struct<type: string>
child 0, type: string
child 4, tier: struct<type: string, enum: list<item: string>, default: string>
child 0, type: string
child 1, enum: list<item: string>
child 0, item: string
child 2, default: string
child 5, paywall_hit_at_message: struct<type: list<item: string>, description: string>
child 0, type: list<item: string>
child 0, item: string
child 1, description: string
child 6, test_dates: struct<type: string, items: struct<type: string, format: string>, minItems: int64, description: stri (... 3 chars omitted)
child 0, type: string
child 1, items: struct<type: string, format: string>
child 0, type: string
child 1, format: string
child 2, minItems: int64
child 3, description: string
...
child 0, type: string
child 1, items: struct<type: string>
child 0, type: string
child 2, description: string
child 3, minItems: int64
child 18, conflict_of_interest: struct<type: string, description: string>
child 0, type: string
child 1, description: string
child 19, submitted_by: struct<type: string>
child 0, type: string
child 20, notes: struct<type: string>
child 0, type: string
probes: struct<R1: string, R2: string, R3: string, R4: string, R5: string, R6: string, R7: string, R8: strin (... 53 chars omitted)
child 0, R1: string
child 1, R2: string
child 2, R3: string
child 3, R4: string
child 4, R5: string
child 5, R6: string
child 6, R7: string
child 7, R8: string
child 8, R9: string
child 9, R10: string
child 10, R11: string
child 11, R12: string
source: string
scenario_version: string
sessions: struct<1: list<item: struct<n: int64, text: string, probe: string>>, 2: list<item: struct<n: int64, (... 30 chars omitted)
child 0, 1: list<item: struct<n: int64, text: string, probe: string>>
child 0, item: struct<n: int64, text: string, probe: string>
child 0, n: int64
child 1, text: string
child 2, probe: string
child 1, 2: list<item: struct<n: int64, text: string, probe: string>>
child 0, item: struct<n: int64, text: string, probe: string>
child 0, n: int64
child 1, text: string
child 2, probe: string
note: string
to
{'scenario_version': Value('string'), 'source': Value('string'), 'note': Value('string'), 'sessions': {'1': List({'n': Value('int64'), 'text': Value('string'), 'probe': Value('string')}), '2': List({'n': Value('int64'), 'text': Value('string'), 'probe': Value('string')})}, 'probes': {'R1': Value('string'), 'R2': Value('string'), 'R3': Value('string'), 'R4': Value('string'), 'R5': Value('string'), 'R6': Value('string'), 'R7': Value('string'), 'R8': Value('string'), 'R9': Value('string'), 'R10': Value('string'), 'R11': Value('string'), 'R12': 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 483, 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 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, 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 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
$schema: string
$id: string
title: string
description: string
type: string
required: list<item: string>
child 0, item: string
additionalProperties: bool
properties: struct<app: struct<type: string>, version: struct<type: string, description: string>, platform: stru (... 2246 chars omitted)
child 0, app: struct<type: string>
child 0, type: string
child 1, version: struct<type: string, description: string>
child 0, type: string
child 1, description: string
child 2, platform: struct<type: string, enum: list<item: string>>
child 0, type: string
child 1, enum: list<item: string>
child 0, item: string
child 3, character_used: struct<type: string>
child 0, type: string
child 4, tier: struct<type: string, enum: list<item: string>, default: string>
child 0, type: string
child 1, enum: list<item: string>
child 0, item: string
child 2, default: string
child 5, paywall_hit_at_message: struct<type: list<item: string>, description: string>
child 0, type: list<item: string>
child 0, item: string
child 1, description: string
child 6, test_dates: struct<type: string, items: struct<type: string, format: string>, minItems: int64, description: stri (... 3 chars omitted)
child 0, type: string
child 1, items: struct<type: string, format: string>
child 0, type: string
child 1, format: string
child 2, minItems: int64
child 3, description: string
...
child 0, type: string
child 1, items: struct<type: string>
child 0, type: string
child 2, description: string
child 3, minItems: int64
child 18, conflict_of_interest: struct<type: string, description: string>
child 0, type: string
child 1, description: string
child 19, submitted_by: struct<type: string>
child 0, type: string
child 20, notes: struct<type: string>
child 0, type: string
probes: struct<R1: string, R2: string, R3: string, R4: string, R5: string, R6: string, R7: string, R8: strin (... 53 chars omitted)
child 0, R1: string
child 1, R2: string
child 2, R3: string
child 3, R4: string
child 4, R5: string
child 5, R6: string
child 6, R7: string
child 7, R8: string
child 8, R9: string
child 9, R10: string
child 10, R11: string
child 11, R12: string
source: string
scenario_version: string
sessions: struct<1: list<item: struct<n: int64, text: string, probe: string>>, 2: list<item: struct<n: int64, (... 30 chars omitted)
child 0, 1: list<item: struct<n: int64, text: string, probe: string>>
child 0, item: struct<n: int64, text: string, probe: string>
child 0, n: int64
child 1, text: string
child 2, probe: string
child 1, 2: list<item: struct<n: int64, text: string, probe: string>>
child 0, item: struct<n: int64, text: string, probe: string>
child 0, n: int64
child 1, text: string
child 2, probe: string
note: string
to
{'scenario_version': Value('string'), 'source': Value('string'), 'note': Value('string'), 'sessions': {'1': List({'n': Value('int64'), 'text': Value('string'), 'probe': Value('string')}), '2': List({'n': Value('int64'), 'text': Value('string'), 'probe': Value('string')})}, 'probes': {'R1': Value('string'), 'R2': Value('string'), 'R3': Value('string'), 'R4': Value('string'), 'R5': Value('string'), 'R6': Value('string'), 'R7': Value('string'), 'R8': Value('string'), 'R9': Value('string'), 'R10': Value('string'), 'R11': Value('string'), 'R12': 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.
companion-bench
Scripted, repeatable tests for AI companion apps: Replika, Character.AI, Nomi, Kindroid, Talkie, and AI dating simulators such as RizzMaster. The same fixed script for every app, every transcript published, two blind LLM judges from different model families, automated integrity checks on every submission.
This dataset holds the machine-readable script and scoring materials. The live repo, validator, results and contribution rules are at https://github.com/rizzmasterapp/companion-bench.
Why
Model-level role-play and memory benchmarks (RoleLLM, PingPong, LoCoMo, LongMemEval) test raw models. Nobody tests the apps people actually download, where the model is wrapped in memory pipelines, persona prompts and message limits that change everything. companion-bench tests the shipped app end to end, as a user meets it.
What is in here
| File | What it is |
|---|---|
scenario-v1.3.json |
The fixed two-session script: 48 user messages, then 11 more between 20 and 48 hours later. Four planted facts, nine turns of distractors, a mood shift, a sycophancy bait, a fact that gets corrected, a fact that is never given, and 12 pass/fail probes at increasing distances (6, 16, 21, 29, 34 turns, then next day). |
RUBRIC.md |
Anchored 1 to 5 scales for the five judged dimensions: texting realism, character consistency, emotional response, pushback, progression pacing. |
JUDGE-PROMPT.md |
The blind judge protocol: two judges from different model families, reasoning before score, message-number citations required, human tiebreak above 1.5 points of disagreement. |
scorecard.schema.json |
JSON schema every published result must validate against, including SHA-256 pins for transcripts. |
The 12 probes
| Probe | Tests | Distance |
|---|---|---|
| R1 | near recall, control | 6 turns |
| R2 | unprompted recall (flags an allergy when the user orders peanut sauce) | 16 turns |
| R3 | contradiction catch | 21 turns |
| R4 | direct recall | 29 turns |
| R5 | self-consistency (recalls its own earlier claim) | 34 turns |
| R6 | proactive callback to an emotional event | next day |
| R7, R8 | cross-session recall, explicit and implicit | next day |
| R9 | knowledge update (a corrected fact must replace the old one) | next day |
| R10 | temporal reasoning (when was a fact first mentioned) | next day |
| R11 | episodic recall of a throwaway detail | next day |
| R12 | abstention (a fact never given; inventing one is a fail) | next day |
Integrity
Submissions are checked automatically: user messages must match the script character for character, transcripts are hash-pinned, timestamps are checked for plausible duration, reply latency and jitter, and companion replies are compared across submissions for pasted text. Details and the validator source are in the GitHub repo.
Conflict of interest
Maintained by the maker of RizzMaster, an AI dating simulator for iOS. RizzMaster is tested under the same script and blind judges as every other app, and its transcripts are published the same way. Runs from anyone, including people who work on competing apps, are accepted with a disclosure line.
Citation
companion-bench: scripted, repeatable tests for AI companion apps. 2026. https://github.com/rizzmasterapp/companion-bench
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