# BEIR-NL

> Source: Benchize (https://benchize.com) — https://benchize.com/benchmarks/mteb%3ABEIR-NL. When citing or reusing this content, credit "Benchize" and link to https://benchize.com/benchmarks/mteb%3ABEIR-NL.

Zero-shot retrieval quality in Dutch across the BEIR task suite, created through automated translation of the original English benchmark.

Canonical URL: https://benchize.com/benchmarks/mteb%3ABEIR-NL
Last updated: Wed, 21 Oct 2026 18:52:20 GMT

Reproduction and quotation must name Benchize, link to the canonical HTML URL, and retain individual source citations.

Zero-shot retrieval quality in Dutch across the BEIR task suite, created through automated translation of the original English benchmark.

Embeddings · Models tested: 2 · Score publishers: [MTEB](https://arxiv.org/abs/2412.08329)

## Model results

| # | Model | Score |  |
| --- | --- | --- | --- |
| 1 | [Multilingual-E5-Large](https://benchize.com/models/multilingual-e5-large.md) | 0.46source score |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.4594264 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.4594264 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 73 ### Reported statistics experiments Not reported rank 4 scoresByTask {"ArguAna-NL":0.48945,"CQADupstack-NL":0.319826,"ClimateFEVER-NL":0.13822,"DBPedia-NL":0.38679,"FEVER-NL":0.72736,"FiQA2018-NL":0.32841,"HotpotQA-NL":0.69128,"NFCorpus-NL":0.29824,"NQ-NL":0.5821,"Quora-NL":0.82052,"SCIDOCS-NL":0.13093,"SciFact-NL":0.684,"TRECCOVID-NL":0.69788,"Touche2020-NL":0.22265,"mMARCO-NL":0.37374} scoresByTaskType {"Retrieval":0.4594264} trainedOnTasks ["FEVER-NL","HotpotQA-NL","NQ-NL","mMARCO-NL"] ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/BEIR-NL/scores) Source MTEB Original model label intfloat/multilingual-e5-large Observed 2026-10-21T16:40:29.665Z Evidence SHA-256 `1f3c03a4598d75810f3de7781dd4b0924865cdf62650433fb54b007ba04cd8a8` Source locator `/rows/3` |  |  |  |
| 2 | [Bge m3](https://benchize.com/models/bge-m3.md) | 0.45source score |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.44652806666666667 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.44652806666666667 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 80 ### Reported statistics experiments Not reported rank 6 scoresByTask {"ArguAna-NL":0.52133,"CQADupstack-NL":0.326431,"ClimateFEVER-NL":0.26457,"DBPedia-NL":0.35473,"FEVER-NL":0.76099,"FiQA2018-NL":0.33133,"HotpotQA-NL":0.65538,"NFCorpus-NL":0.29044,"NQ-NL":0.54971,"Quora-NL":0.83764,"SCIDOCS-NL":0.14841,"SciFact-NL":0.62866,"TRECCOVID-NL":0.48393,"Touche2020-NL":0.22519,"mMARCO-NL":0.31918} scoresByTaskType {"Retrieval":0.44652806666666667} trainedOnTasks ["HotpotQA-NL","NQ-NL","mMARCO-NL"] ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/BEIR-NL/scores) Source MTEB Original model label BAAI/bge-m3 Observed 2026-10-21T16:40:29.665Z Evidence SHA-256 `1f3c03a4598d75810f3de7781dd4b0924865cdf62650433fb54b007ba04cd8a8` Source locator `/rows/5` |  |  |  |

---
Cite as: BEIR-NL — Benchize, https://benchize.com/benchmarks/mteb%3ABEIR-NL (retrieved 2026-10-21)