GenData-Research/experiment-selection
Experiment Selection Experiment Selection measures how well a model can anticipate, before an experiment is run, how likely it is to meet a goal, and how that judgment changes when the model can see related experiments that failed. It is meant for evaluating autonomous research agents that select which experiments to run next, and draws on 37 pairs of battery experiments from 37 theses, each pair a failed run and a run from the same thesis that differs in one deciding change and… See the full description on the dataset page: https://huggingface.co/datasets/GenData-Research/experiment-selection
| Author / organization | GenData-Research |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 698 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 19 October 2026 |
| Last updated at source | 27 October 2026 |
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Recent changes
- 22 Oct 2026 Topics added research-agents, calibration removed reasoning, electrochemistry, scientific-reasoning
- 22 Oct 2026 Description: Experiment-selection Experiment-selection assesses whether frontier models can tell apart experiments that are likely to meet a stated goal from those that are not. Each task is created from a failed battery experiment and a near-identical → Experiment Selection Experiment Selection measures how well a model can anticipate, before an experiment is run, how likely it is to meet a goal, and how that judgment changes when the model can see related experiments that failed. It is me
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