aamina/noma_instruction_set
收藏Hugging Face2025-03-07 更新2025-04-12 收录
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https://hf-mirror.com/datasets/aamina/noma_instruction_set
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资源简介：
该数据集包含三个主要特征：指令(instruction)，输入(input)和输出(output)。输入包括操作功率(operational_power)，信道增益F(channel_gain_f)和信道增益N(channel_gain_n)，输出包括alloc_UEn和alloc_UEf。数据集分为训练集和验证集，训练集包含101254个样本，大小为54879668字节，验证集包含25314个样本，大小为13720188字节。
The dataset includes three main features: instruction, input, and output. Input consists of operational_power, channel_gain_f, and channel_gain_n, while output includes alloc_UEn and alloc_UEf. The dataset is split into a training set with 101254 examples, totaling 54879668 bytes, and a validation set with 25314 examples, totaling 13720188 bytes.
提供机构：
aamina
