---
license: mit
language:
- en
task_categories:
- reinforcement-learning
- text-classification
tags:
- agent-routing
- appworld
- scienceworld
- multi-model-routing
---

# RouteStep Trajectory Dataset

This directory contains normalized AppWorld and ScienceWorld trajectories for
step-level model routing. Every JSON file is self-contained and uses USD
cache-aware token-price estimates from `pricing.json`.

## Layout

```text
dataset/
├── pricing.json
├── appworld/
│   ├── manifest.json
│   ├── task_ids.txt
│   ├── single_model_trajectories/<task_id>/<model_slug>.json
│   └── mixed_trajectories/<task_id>.json
└── scienceworld/
    ├── manifest.json
    ├── task_ids.txt
    ├── single_model_trajectories/<task_id>/<model_slug>.json
    └── mixed_trajectories/<task_id>.json
```

## Cost convention

`prompt_tokens` includes cached tokens. For every model call:

```text
uncached_input_tokens = prompt_tokens - cache_read_tokens - cache_write_tokens
estimated_cost_usd = (
    uncached_input_tokens * input_price
    + cache_read_tokens * cache_read_price
    + cache_write_tokens * cache_write_price
    + completion_tokens * output_price
) / 1_000_000
```

Provider-reported spend is not used for cross-model comparisons. Prices and
all costs are denominated in USD.

In AppWorld single-model files, `state.history_step_indices` references earlier
steps in the same trajectory instead of duplicating their complete action and
observation payloads. This preserves the full ordered history while keeping
the dataset compact.

## Coverage

- AppWorld: 3,616 single-model trajectories and 418 successful mixed trajectories.
- ScienceWorld: 1,525 single-model trajectories and 477 successful mixed trajectories.
- All AppWorld mixed trajectories have complete per-step usage and cost fields.
- 299 ScienceWorld mixed trajectories have complete per-step usage and costs.
  The remaining 178 historical trajectories did not retain candidate-call token
  usage; their unavailable usage and cost fields are `null` rather than inferred.

See each benchmark's `manifest.json` for aggregate counts and costs.

## Downloaded archives

The Hugging Face release stores each benchmark as a compressed archive to
avoid per-file API rate limits. Each archive expands to the layout documented
above:

```bash
tar --zstd -xf appworld.tar.zst
tar --zstd -xf scienceworld.tar.zst
```