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archersama authored Jul 5, 2024
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**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.

For **models leaderboard**, checkout out **leaderboard(HF)** page: [coir leaderboard](https://archersama.github.io/coir/).

For **models and datasets**, checkout out **Hugging Face (HF)** page: [https://huggingface.co/CoIR-Retrieval](https://huggingface.co/CoIR-Retrieval).

For more information, checkout out our **publication**: [COIR: A Comprehensive Benchmark for Code Information Retrieval Models](linktobedo)
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