The dataset viewer should be available soon. Please retry later.
Butler-Bench v2
A personal-assistant tool-use benchmark. An agent must retrieve a user's private digital artifacts, resolve stale vs. current evidence, infer hidden preferences, and execute the correct terminal tool call under a one-tool-call-per-turn protocol.
Structure
- 100 shared task templates × 5 personas = 500 episodes.
- For a given
shared_task_idthe instruction is identical across all personas; only the persona's artifacts and the (private) hidden rubric differ. - 1436 artifacts across messages, emails, calendar, orders, notes, contacts, locations, memberships, files.
Files (this public repo)
episodes.csv— one row per episode: the rendered agent prompt + tool metadata. No answers.shared_tasks.csv— the 100 task templates (family, domain, terminal tool, required fields, tools).artifacts.jsonl— the per-persona artifact worlds the agent retrieves from.personas.json— persona axes and stable preferences.
Difficulty tiers (in the private rubric)
stated (answer written directly) · drifted (old value superseded by newer) ·
derived (inferred from multiple artifacts) · open (no direct evidence; safe default, rarely scored).
⚠️ Rubrics are private (eval-only)
The hidden answer key (rubric.csv, with correct_value, per-slot tiers/evidence, and the
full target_action_json) is NOT in this repo — it lives in a separate private eval repo.
Public files deliberately contain no correct_value and no target_action_json.
Counts at packaging: 5 personas / 100 tasks / 500 episodes / 1436 artifacts / 2395 rubric rows (private).
- Downloads last month
- 46