itmo-autods/scientific-cases
Science
AutoDS scientific ML cases: maize yield (G3 2023), polymer Tg (OpenPoly 2025), Fugaku HPC exit-state (F-DATA 2025) — train/test split + author baseline in each task.
Run this task
CLI:
inspect eval inspect_harbor/itmo_autods_scientific_cases --model openai/gpt-5Python:
from inspect_ai import eval
from inspect_harbor import itmo_autods_scientific_cases
eval(itmo_autods_scientific_cases(), model="openai/gpt-5")Dataset information
| Harbor registry | itmo-autods/scientific-cases |
| Inspect task | itmo_autods_scientific_cases |
| Latest digest | sha256:9b46bced2f653dcfbbf07b2ab5e4d97be5e1221c70cd12bbb480cd80d20da715 |
| Samples | 3 |
See Task Parameters for the parameter set shared across all Harbor tasks.