Freshness
Public sample refreshed monthly while private holdout stays sealed until replacement tasks exist.
Designing v0.1
A private-plus-public benchmark for support, finance, legal, sales, document, and multilingual back-office workflows common in Indian enterprises.
Current leader
Strong candidate; inspect cost and latency before production use.
Task mix
Task trace evidence
These trace packets show the task brief, expected evidence, model outcomes, cost units, latency, and reviewer notes behind the aggregate score.
Finance / public / Medium
Given an invoice, purchase order, and short email thread, identify the GST mismatch and draft a vendor-facing explanation with cited evidence.
Support / holdout / Hard
Classify a mixed Hindi-English support ticket, apply refund policy, and decide whether to escalate based on payment and delivery evidence.
Legal / public / Medium
Review a vendor renewal clause; identify renewal deadline; surface termination notice risk; draft an internal note with evidence.
Finance / holdout / Hard
Compare invoice; credit note; and ledger export to decide whether the vendor credit has been applied correctly.
Scoring rubric
Run provenance
Leaderboard control metadata
These fields make the suite auditable: the public/private split, freshness policy, leakage policy, repeat-run rule, retirement trigger, and provenance fields are generated with the benchmark data instead of being described only in prose.
Split
10 public / 14 private holdout tasks
Public share
42%
Holdout share
58%
Repeat rule
Repeat any result within five points of a leaderboard boundary across at least three seeds.
Freshness
Public sample refreshed monthly while private holdout stays sealed until replacement tasks exist.
Leakage policy
Do not use tasks sourced from public examples, vendor demos, or training-contaminated snippets without replacement variants.
Retirement rule
Retire a task when frontier and mid-tier models cluster near the ceiling or when source material becomes widely circulated.
Required provenance
traceId, createdAt, split, source, modelVersion, runSeed, reviewerNote, retirementStatus
Next data step
The page is wired to generated data already, including JSON task packets and CSV trace rows. The next engineering task is to point the importer at actual benchmark harness exports with model name, provider, settings, latency samples, retries, tool traces, and reviewer notes.
Read methodology