LLM4CP 训练测试数据集

该数据集为论文「LLM4CP: Adapting Large Language Models for Channel Prediction」的训练测试集，训练数据集和验证数据集分别包含 8,000 个和 1,000 个样本，用户速度均匀分布在 10~100 km/h 之间。测试数据集包含 10 个速度，范围从 10 km/h 到 100 km/h 不等，每个速度有 1,000 个样本。

This dataset is the training and test set for the paper "LLM4CP: Adapting Large Language Models for Channel Prediction". The training and validation datasets contain 8,000 and 1,000 samples respectively, where the user speeds are uniformly distributed within the range of 10 km/h to 100 km/h. The test dataset includes 10 distinct speeds ranging from 10 km/h to 100 km/h, with 1,000 samples for each speed.

搜集汇总

背景与挑战

背景概述

该数据集是论文《LLM4CP: Adapting Large Language Models for Channel Prediction》的训练测试集，包含8,000个训练样本和1,000个验证样本，用户速度均匀分布在10~100 km/h之间。测试数据集包含10个速度，每个速度有1,000个样本，用于研究基于预训练大语言模型的信道预测方案。