ORANBench: A Streamlined Benchmark for Assessing LLMs in O-RAN
Overview
ORANBench is a streamlined evaluation dataset derived from ORAN-Bench-13K, designed to efficiently assess Large Language Models (LLMs) in the context of Open Radio Access Networks (O-RAN). This benchmark consists of 1,500 multiple-choice questions, with 500 questions randomly sampled from each of three difficulty levels: easy, intermediate, and difficult.
This dataset is part of the ORANSight-2.0 work… See the full description on the dataset page: https://huggingface.co/datasets/prnshv/ORANBench.
