genbio-ai/ssp_q3_rag

二级结构预测数据集（Q3）是研究蛋白质二级结构的基础数据集。数据集中的蛋白质序列被分类为三种不同的结构元素：H - 螺旋（包括α-螺旋、3-10螺旋和π螺旋）、E - 折叠（包括β-折叠和β-桥）、C - 卷曲（包括转折、弯曲和随机卷曲）。每个实例包括蛋白质序列、结构标签、多重序列比对(MSA)序列和结构嵌入(str_emb)。数据集分为训练集和测试集，分别包含10848和667个实例。

The Secondary Structure Prediction Dataset (Q3) is a fundamental dataset for studying protein secondary structures. Protein sequences in the dataset are classified into three different structural elements: H - Helix (including alpha-helix, 3-10 helix, and pi helix), E - Strand (including beta-strand and beta-bridge), C - Coil (including turns, bends, and random coils). Each instance includes a protein sequence, a sequence of structural labels, multiple sequence alignment (MSA) sequences, and structure embeddings (str_emb). The dataset is split into a training set and a test set, containing 10,848 and 667 instances respectively.