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_042_rrde_orr_selectivitytask.toml

task.toml38 linesDownload Raw Back to task_042_rrde_orr_selectivity

1schema_version = "1.1"2 3[task]4name = "apodex-ai/task-042-rrde-orr-selectivity"5description = "由多转速RRDE校正 H2O2 传输损失并判定氧还原 2e/4e 路径"6authors = [{ name = "Apodex AI & GADE Union" }]7keywords = []8 9[metadata]10frontierchallenge_task_id = "task_042_rrde_orr_selectivity"11difficulty = "hard"12category = "实验电化学数据处理：RRDE iR/N2 背景校正、收集效率标定、过氧化氢传输损失、ORR 选择性与 Koutecky–Levich 动力学"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