# Datasheet

## Motivation

RoutingBench V2-beta isolates dynamic next-agent routing from actor-backbone
quality. It evaluates whether a router uses the task, observable workflow state,
execution feedback, budget, and qualitative role contracts to choose the next
agent.

## Composition

- 120 interactive deterministic workflows.
- 809 isolated decision states derived from reachable trajectories.
- 24 qualitative agent profiles.
- Eight workflow families and five pool-perturbation modes.

The release contains three Hugging Face configurations: `decision`,
`interactive`, and `agent_catalog`.

## Collection and generation

The dataset is programmatically generated with seed 42 from original workflow
templates. Existing multi-step benchmarks and project traces informed abstract
failure patterns only. No original questions, answers, evidence passages, or
attachments from those sources were copied.

## Splits

Scenarios are split by `split_group_id`. States derived from the same workflow
template group cannot cross development, validation, and test splits.

The V2-beta test split is public and diagnostic. It is not a hidden test set.

## Personal and sensitive information

The tasks are synthetic and are not intended to contain personal or sensitive
information.

## Quality control

- Deterministic regeneration and SHA-256 checksums.
- JSON schema and invariant validation.
- Zero observed-state label collisions.
- Oracle Track A admissible accuracy and Track B completion of 100%.
- Quotas for singleton, set-valued, trade-off, terminal, and failure states.

## Maintenance

V2-beta is a public research preview. Incompatible changes require a new version;
released artifacts should remain immutable and be referenced by Hub revision/tag.