Codesota · Natural Language Processing · Text Ranking · BEIRTasks/Natural Language Processing/Text Ranking
Text Ranking · benchmark dataset · 2021 · EN

BEIR.

Heterogeneous information retrieval benchmark across 18 datasets

Submit a result ↵
§ 01 · Leaderboard

Best published scores.

4 results indexed across 1 metric. Shaded row marks current SOTA; ties broken by submission date.

Primary
ndcg · higher is better
ndcg@10
4 rows
#ModelOrgSubmittedPaper / codendcg@10
01NV-Embed-v2OSSNVIDIASep 2024NV-Embed: Improved Techniques for Training LLMs as Gener…62.65
02GTE-Qwen2-7B-instructOSSAlibabaJun 2024arxiv60.25
03E5-Mistral-7B-instructOSSMicrosoftJan 2024Improving Text Embeddings with Large Language Models56.90
04ColBERTv2OSSStanfordJul 2022ColBERTv2: Effective and Efficient Retrieval via Lightwe…49.40
Fig 2 · Rows sorted by score within each metric. Shaded row marks SOTA. Dates reflect model or paper release where available, otherwise the date Codesota accessed the source.
§ 04 · Literature

3 papers
tied to this benchmark.

Every paper below corresponds to at least one row in the leaderboard above. Click through for the arXiv preprint and, when available, the reference implementation.

§ 06 · Contribute

Have a score that beats
this table?

Submit a checkpoint and a reproduction script. We will run it, publish the score, and — if it takes the top — annotate the step on the progress chart with your name.

Submit a result ↵Read submission guide
What a submission needs
  • 01A public checkpoint or API endpoint
  • 02A reproduction script with frozen commit + seed
  • 03Declared evaluation environment (Python, deps)
  • 04One row per metric declared by this dataset
  • 05A contact so we can follow up on discrepancies