From 169a86565438fc18e847bfa2e396c8996d9e5d8b Mon Sep 17 00:00:00 2001 From: XiangyangLi <946971688@qq.com> Date: Fri, 5 Jul 2024 15:58:33 +0800 Subject: [PATCH] Update README.md --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index b6a8189..5177daa 100644 --- a/README.md +++ b/README.md @@ -24,11 +24,11 @@ ## :coconut: What is CoIR? -**CoIR** (**Co**de **I**nformation **R**etrieval) benchmark, is designed to evaluate code retrieval capabilities. CoIR includes **10** curated code datasets, covering **8** retrieval tasks across **7** domains. It also provides a **common and easy** Python framework, installable via pip, and shares the same data schema as benchmarks like MTEB and BEIR for easy cross-benchmark evaluations. +**CoIR** (**Co**de **I**nformation **R**etrieval) benchmark, is designed to evaluate code retrieval capabilities. CoIR includes **10** curated code datasets, covering **8** retrieval tasks across **7** domains. In total, it encompasses two million documents. It also provides a **common and easy** Python framework, installable via pip, and shares the same data schema as benchmarks like MTEB and BEIR for easy cross-benchmark evaluations. For **models leaderboard**, checkout out **leaderboard** page: [**CoIR Leaderboard**](https://archersama.github.io/coir/). -For **submit your models performance to coir leaderboard**, following this [**Instruction**](https://github.com/CoIR-team/coir/issues/2) +For **submit your models performance to coir leaderboard**, following this [**Instruction**](https://github.com/CoIR-team/coir/issues/2). For **models and datasets**, checkout out **Hugging Face (HF)** page: [https://huggingface.co/CoIR-Retrieval](https://huggingface.co/CoIR-Retrieval).