Datasetpublic

apodex/FrontierChallenge

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… See the full description on the dataset page: https://huggingface.co/datasets/apodex/FrontierChallenge.

sourceHugging Facecc-by-4.0updated 2d agoView on Hugging Face

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roottaskstask_032_co2_capture_solvent_cycletask.toml

task.toml38 linesDownload Raw Back to task_032_co2_capture_solvent_cycle

1schema_version = "1.1"2 3[task]4name = "apodex-ai/task-032-co2-capture-solvent-cycle"5description = "由多分析信号解析MEA/MDEA捕集液物种并评价吸收-再生运行周期"6authors = [{ name = "Apodex AI & GADE Union" }]7keywords = []8 9[metadata]10frontierchallenge_task_id = "task_032_co2_capture_solvent_cycle"11difficulty = "hard"12category = "实验数据分析与过程诊断：定量 13C NMR、酸滴定、TIC、离子色谱、多物种衡算和运行周期评价"13 14[agent]15user = "mambauser"16timeout_sec = 3600.017network_mode = "public"18 19[verifier]20timeout_sec = 300.021 22[verifier.env]23JUDGE_API_KEY = "${JUDGE_API_KEY}"24JUDGE_API_ENDPOINT = "${JUDGE_API_ENDPOINT}"25JUDGE_MODEL = "gpt-5.6-sol"26JUDGE_REASONING_EFFORT = "high"27JUDGE_REPEATS = "3"28 29[environment]30network_mode = "public"31build_timeout_sec = 1800.032cpus = 233memory_mb = 409634storage_mb = 204835gpus = 036 37# LOCAL_SMOKE_ONLY: agent network changed to public because macOS Docker cannot enforce Harbor allowlists.38