This dataset tests whether a model can detect structural bottlenecks.
The task is simple:
Given a scenario and a structural-bottleneck claim, predict whether the claim is supported.
A structural bottleneck is a constraint that limits system performance regardless of improvements elsewhere.
Typical bottlenecks include:
single approval points
single processing nodes
unique dependencies
centralized routing
irreplaceable personnel… See the full description on the dataset page:
https://huggingface.co/datasets/ClarusC64/structural-bottleneck-classification-v0.1.
