proteinglm/ssp_q8

Secondary Structure Prediction (Q8)数据集用于蛋白质二级结构的预测。蛋白质的二级结构（如螺旋、链和各种转角）对其生物功能至关重要。该数据集将蛋白质序列分类为不同的结构元素，包括H（α-螺旋）、G（3-10螺旋）、I（π-螺旋）、E（β-链）、B（β-桥）、T（转角）、S（弯曲）和C（卷曲或无规卷曲）。数据集包含10,848个训练实例和667个测试实例，每个实例包含一个蛋白质序列字符串和一个表示结构标签的序列。数据集的来源是NetSurfP-2.0，并且遵循Apache-2.0许可证。

The Secondary Structure Prediction (Q8) dataset is used for predicting protein secondary structures. The secondary structure of a protein (such as helices, strands, and various turns) is crucial for its biological function. This dataset classifies protein sequences into different structural elements, including H (Alpha-helix), G (3-10 helix), I (Pi helix), E (Beta-strand), B (Beta-bridge), T (Turn), S (Bend), and C (Coil or random coil). The dataset contains 10,848 training instances and 667 test instances, each consisting of a protein sequence string and a sequence of structural labels. The dataset originates from NetSurfP-2.0 and is released under the Apache-2.0 License.