AI EVALUATION, IN CONTEXT.BY EQUALITY MACHINE

OpenCompass Hub

miniCTX

A context-rich benchmark for evaluating neural theorem proving in realistic scenarios, providing premises, full context, multi-source benchmark, and temporal splits, enabling evaluation of a model's ability to work with context that evolves over time.

Evaluation context and evidence

Source
OpenCompass Hub
Publisher
Carnegie Mellon University
Benchmark release
2024-08-03
Collected
2026-08-18
Modality
Not recorded

These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.

Original sources

Reported results 0

This source record has no numeric results in our collection. That does not mean a score of zero or that no public results exist. Consult the original resources above.