mteb/GermanSTSBenchmark
收藏Hugging Face2025-05-06 更新2025-05-31 收录
下载链接：
https://hf-mirror.com/datasets/mteb/GermanSTSBenchmark
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资源简介：
GermanSTSBenchmark数据集是MTEB（大规模文本嵌入基准）套件的一部分，包含德语文本的数据集。该数据集用于句子相似度任务，特别是语义相似度评分。数据集分为训练集、验证集和测试集，每个集合的大小和示例数量都有详细说明。数据集的特征包括两个句子和一个分数。该数据集可以用来评估嵌入模型在语义文本相似度任务上的表现。
The GermanSTSBenchmark dataset is a part of the MTEB (Massive Text Embedding Benchmark) suite, containing datasets in German. It is used for the sentence similarity task, specifically for semantic similarity scoring. The dataset is split into three parts: training, validation, and testing, with detailed information on the size and number of examples for each. The features of the dataset include two sentences and a score. This dataset can be used to evaluate embedding models on their performance in semantic textual similarity tasks.
提供机构：
mteb
