Datasets:

apodex
/

FrontierChallenge

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 dataset.

Use the FrontierChallenge runtime to download both datasets, verify their shared registry, load the image archive, run Harbor, and score a task:

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 task definitions that execute ORCA and their 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.

Track membership follows what a task executes, not software named in supplied files. For example, task_098_orca_claisen_thermochemistry reads precomputed ORCA output without running ORCA, so it remains in the open track.

Verify a downloaded solve package with:

python tools/verify_dataset.py

Citation

@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}
}