We introduce C-Pack, a package of resources that significantly advance the field of general Chinese embeddings. C-Pack includes three critical resources. 1) C-MTEB is a comprehensive benchmark for Chinese text embeddings covering 6 tasks and 35 datasets. 2) C-MTP is a massive text embedding dataset curated from labeled and unlabeled Chinese corpora for training embedding models. 3) C-TEM is a family of embedding models covering multiple sizes. Our models outperform all prior Chinese text embeddings on C-MTEB by up to +10% upon the time of the release. We also integrate and optimize the entire suite of training methods for C-TEM. Along with our resources on general Chinese embedding, we release our data and models for English text embeddings. The English models achieve state-of-the-art performance on MTEB benchmark; meanwhile, our released English data is 2 times larger than the Chinese data. All these resources are made publicly available at https://github.com/FlagOpen/FlagEmbedding.

翻译：我们推出C-Pack，一组显著推进通用中文嵌入领域的资源包。该资源包含三大核心组件：1) C-MTEB，涵盖6项任务与35个数据集的综合性中文文本嵌入基准；2) C-MTP，从标注及未标注中文语料中精选构建的大规模文本嵌入数据集，用于训练嵌入模型；3) C-TEM，覆盖多种规模的嵌入模型系列。我们的模型在发布时于C-MTEB上超越所有此前的中文文本嵌入，性能提升高达10%。此外，我们对C-TEM的整套训练方法进行了集成与优化。随同通用中文嵌入资源，我们同步发布英文文本嵌入的数据与模型。其英文模型在MTEB基准上达到最先进水平，且发布的英文数据规模是中文数据的两倍。所有资源已公开于 https://github.com/FlagOpen/FlagEmbedding。