---
license: cc-by-4.0
language:
- en
task_categories:
- other
tags:
- scientific-agents
- benchmark
- evaluation
pretty_name: FrontierChallenge
configs:
- config_name: default
  data_files:
  - split: train
    path: manifest.jsonl
---

# FrontierChallenge

FrontierChallenge provides **97 scientific workflow tasks** with plaintext
English instructions, inputs, Harbor definitions, domain labels, and the
redistributable open runtime image.

| Path | Contents |
|---|---|
| `manifest.jsonl` | Dataset Viewer rows with task ID, taxonomy, difficulty, runtime, and instruction |
| `tasks/<task-id>/` | `instruction.md`, task metadata, environment definition, and agent-visible inputs |
| `images/` | Verified `linux/amd64` Docker archive for the 81 open-image tasks |

This repository contains no graders, rubrics, fixtures, or reference outputs.
Those are stored as encrypted archives in the separate
[`apodex/FrontierChallenge-reference`](https://huggingface.co/datasets/apodex/FrontierChallenge-reference)
dataset.

Use the [FrontierChallenge runtime](https://github.com/ApodexAI/FrontierAgent/tree/main/benchmarks/frontierchallenge)
to download both datasets, verify their shared registry, load the image archive,
run Harbor, and score a task:

```bash
git clone https://github.com/ApodexAI/FrontierAgent.git
cd FrontierAgent/benchmarks/frontierchallenge
python -m pip install -e .
HF_TOKEN=hf_... ./scripts/setup.sh --track open
cp .env.example .env
./scripts/run_eval.sh \
  --agent claude-code --model <model> \
  --include-task-name task_011_cell_migration_wound_healing
```

The 16 ORCA task definitions and inputs are included normally. ORCA itself and
an ORCA-configured image are never distributed; evaluators obtain ORCA from its
official provider and follow the runtime repository's
[local-image tutorial](https://github.com/ApodexAI/FrontierAgent/blob/main/benchmarks/frontierchallenge/docs/providers/orca.md).

Verify a downloaded solve package with:

```bash
python tools/verify_dataset.py
```

## Citation

```bibtex
@misc{apodex11,
  title         = {Apodex 1.1: Scaling Agentic Intelligence for Complex Work},
  author        = {{Apodex Team}},
  year          = {2026},
  eprint        = {2608.23283},
  archivePrefix = {arXiv},
  primaryClass  = {cs.AI},
  url           = {https://arxiv.org/abs/2608.23283}
}

@misc{frontierchallenge,
  title         = {FrontierChallenge: Evaluating Scientific Workflow Completion},
  author        = {Liangcai Su and Zhaopeng Feng and Zhuo Chen and Zhen Zhang
                   and Xiang Lin and Ruilin Li and Handuo Zhang and Ning Wang
                   and Kailong Wen and Yueqi Guo and Feng Xing and Yiling Guo
                   and Chenxiong Qian and Simon Shaolei Du and Lidong Bing
                   and Xinyu Wang},
  year          = {2026},
  eprint        = {2608.24979},
  archivePrefix = {arXiv},
  primaryClass  = {cs.AI},
  url           = {https://arxiv.org/abs/2608.24979}
}
```