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Research paper · 2023-09-14

C-Pack: Packaged Resources To Advance General Chinese Embedding

Shitao Xiao, Zheng Liu, Peitian Zhang, Niklas Muennighoff

Published2023-09-14
Authors4
Citing Models9
arXiv2309.07597

Abstract

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.

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Details

arXiv identifier
2309.07597
Published
2023-09-14
Authors
Shitao Xiao, Zheng Liu, Peitian Zhang, Niklas Muennighoff

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