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_057_tunel_dapi_image_ratiotask.toml

task.toml31 linesDownload Raw Back to task_057_tunel_dapi_image_ratio

1schema_version = "1.1"2 3[task]4name = "apodex-ai/task-057-tunel-dapi-image-ratio"5description = "基于荧光显微镜拍摄的细胞TUNEL免疫荧光染色图像，计算细胞TUNEL/DAPI 荧光强度比值( TUNEL/DAPI fluorescence intensity ratio(%) )"6authors = [{ name = "Apodex AI & GADE Union" }]7keywords = ["TUNEL", "DAPI", "fluorescence microscopy", "image quantification", "t-test"]8 9[metadata]10frontierchallenge_task_id = "task_057_tunel_dapi_image_ratio"11difficulty = "medium"12category = "实验数据分析"13 14[agent]15user = "mambauser"16timeout_sec = 7200.017network_mode = "public"18 19[verifier]20timeout_sec = 3600.021 22[environment]23network_mode = "public"24build_timeout_sec = 3600.025cpus = 226memory_mb = 409627storage_mb = 409628gpus = 029 30# LOCAL_SMOKE_ONLY: agent network changed to public because macOS Docker cannot enforce Harbor allowlists.31