Datasets › CoIR

CoIR (Code Information Retrieval Benchmark)

Introduced by Xiangyang Li et al. in CoIR: A Comprehensive Benchmark for Code Information Retrieval Models3 Jul 2024 archive 2025-07-28

CoIR (Code Information Retrieval) 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.

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Code Search CoIR Voyage-code-002 nDCG@10 56.26 CoIR: A Comprehensive Benchmark for Code Information... coir-team/coir 1 Compare

Papers archive 2025-07-28

1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 18. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
CoIR: A Comprehensive Benchmark for Code Information Retrieval Models 1 1 3 Jul 2024 ran 2 of 5 samples (3 unverified)

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

Apache-2.0 license

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • CoIR

2 variant names, as the archive lists them.

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