MTEB-NL
					Collection
				
Massive Text Embedding Benchmark for Dutch. Check https://github.com/nikolay-banar/mteb-nl-dev to evaluate your models. 
					• 
				26 items
				• 
				Updated
					
				•
					
					2
corpus-id
				 
			string  | query-id
				 
			int64  | score
				 
			int64  | 
|---|---|---|
	c:vabb:510138 
 | 7,695 
							 | 1 
							 | 
					
	c:vabb:80505 
 | 8,846 
							 | 1 
							 | 
					
	c:vabb:390823 
 | 4,828 
							 | 1 
							 | 
					
	c:vabb:456781 
 | 6,517 
							 | 1 
							 | 
					
	c:vabb:387598 
 | 4,563 
							 | 1 
							 | 
					
	c:vabb:272277 
 | 791 
							 | 1 
							 | 
					
	c:vabb:489376 
 | 7,131 
							 | 1 
							 | 
					
	c:vabb:376380 
 | 4,098 
							 | 1 
							 | 
					
	c:vabb:341968 
 | 3,054 
							 | 1 
							 | 
					
	c:vabb:326887 
 | 2,424 
							 | 1 
							 | 
					
	c:vabb:431582 
 | 5,950 
							 | 1 
							 | 
					
	c:vabb:324439 
 | 2,138 
							 | 1 
							 | 
					
	c:vabb:388926 
 | 4,738 
							 | 1 
							 | 
					
	c:vabb:83206 
 | 9,202 
							 | 1 
							 | 
					
	c:vabb:509839 
 | 7,659 
							 | 1 
							 | 
					
	c:vabb:83134 
 | 9,165 
							 | 1 
							 | 
					
	c:vabb:270423 
 | 683 
							 | 1 
							 | 
					
	c:vabb:326212 
 | 2,308 
							 | 1 
							 | 
					
	c:vabb:300938 
 | 1,497 
							 | 1 
							 | 
					
	c:vabb:462367 
 | 6,593 
							 | 1 
							 | 
					
	c:vabb:388999 
 | 4,747 
							 | 1 
							 | 
					
	c:vabb:342393 
 | 3,128 
							 | 1 
							 | 
					
	c:vabb:525571 
 | 8,233 
							 | 1 
							 | 
					
	c:vabb:530565 
 | 8,331 
							 | 1 
							 | 
					
	c:vabb:177984 
 | 429 
							 | 1 
							 | 
					
	c:vabb:484515 
 | 7,033 
							 | 1 
							 | 
					
	c:vabb:309891 
 | 1,884 
							 | 1 
							 | 
					
	c:vabb:522517 
 | 8,194 
							 | 1 
							 | 
					
	c:vabb:177928 
 | 424 
							 | 1 
							 | 
					
	c:vabb:388576 
 | 4,683 
							 | 1 
							 | 
					
	c:vabb:274687 
 | 838 
							 | 1 
							 | 
					
	c:vabb:475619 
 | 6,836 
							 | 1 
							 | 
					
	c:vabb:511871 
 | 7,834 
							 | 1 
							 | 
					
	c:vabb:180710 
 | 449 
							 | 1 
							 | 
					
	c:vabb:490755 
 | 7,173 
							 | 1 
							 | 
					
	c:vabb:341865 
 | 3,006 
							 | 1 
							 | 
					
	c:vabb:483915 
 | 7,019 
							 | 1 
							 | 
					
	c:vabb:340622 
 | 2,816 
							 | 1 
							 | 
					
	c:vabb:463380 
 | 6,608 
							 | 1 
							 | 
					
	c:vabb:276592 
 | 1,033 
							 | 1 
							 | 
					
	c:vabb:293220 
 | 1,303 
							 | 1 
							 | 
					
	c:vabb:368528 
 | 3,694 
							 | 1 
							 | 
					
	c:vabb:168927 
 | 324 
							 | 1 
							 | 
					
	c:vabb:296795 
 | 1,413 
							 | 1 
							 | 
					
	c:vabb:80020 
 | 8,806 
							 | 1 
							 | 
					
	c:vabb:375116 
 | 3,954 
							 | 1 
							 | 
					
	c:vabb:423481 
 | 5,806 
							 | 1 
							 | 
					
	c:vabb:517445 
 | 8,082 
							 | 1 
							 | 
					
	c:vabb:335455 
 | 2,601 
							 | 1 
							 | 
					
	c:vabb:531657 
 | 8,334 
							 | 1 
							 | 
					
	c:vabb:433045 
 | 5,995 
							 | 1 
							 | 
					
	c:vabb:435546 
 | 6,056 
							 | 1 
							 | 
					
	c:vabb:304424 
 | 1,766 
							 | 1 
							 | 
					
	c:vabb:490409 
 | 7,148 
							 | 1 
							 | 
					
	c:vabb:295853 
 | 1,385 
							 | 1 
							 | 
					
	c:vabb:80775 
 | 8,893 
							 | 1 
							 | 
					
	c:vabb:376728 
 | 4,138 
							 | 1 
							 | 
					
	c:vabb:370569 
 | 3,748 
							 | 1 
							 | 
					
	c:vabb:342090 
 | 3,073 
							 | 1 
							 | 
					
	c:vabb:438253 
 | 6,195 
							 | 1 
							 | 
					
	c:vabb:293193 
 | 1,293 
							 | 1 
							 | 
					
	c:vabb:420805 
 | 5,756 
							 | 1 
							 | 
					
	c:vabb:384139 
 | 4,458 
							 | 1 
							 | 
					
	c:vabb:403071 
 | 5,294 
							 | 1 
							 | 
					
	c:vabb:390934 
 | 4,831 
							 | 1 
							 | 
					
	c:vabb:76469 
 | 8,764 
							 | 1 
							 | 
					
	c:vabb:434261 
 | 6,020 
							 | 1 
							 | 
					
	c:vabb:540529 
 | 8,632 
							 | 1 
							 | 
					
	c:vabb:385324 
 | 4,490 
							 | 1 
							 | 
					
	c:vabb:510862 
 | 7,757 
							 | 1 
							 | 
					
	c:vabb:389240 
 | 4,783 
							 | 1 
							 | 
					
	c:vabb:351512 
 | 3,420 
							 | 1 
							 | 
					
	c:vabb:414871 
 | 5,450 
							 | 1 
							 | 
					
	c:vabb:509888 
 | 7,666 
							 | 1 
							 | 
					
	c:vabb:529639 
 | 8,306 
							 | 1 
							 | 
					
	c:vabb:509834 
 | 7,654 
							 | 1 
							 | 
					
	c:vabb:81482 
 | 8,969 
							 | 1 
							 | 
					
	c:vabb:271568 
 | 754 
							 | 1 
							 | 
					
	c:vabb:340908 
 | 2,850 
							 | 1 
							 | 
					
	c:vabb:391805 
 | 4,862 
							 | 1 
							 | 
					
	c:vabb:510307 
 | 7,727 
							 | 1 
							 | 
					
	c:vabb:524433 
 | 8,209 
							 | 1 
							 | 
					
	c:vabb:359603 
 | 3,581 
							 | 1 
							 | 
					
	c:vabb:341300 
 | 2,919 
							 | 1 
							 | 
					
	c:vabb:375070 
 | 3,940 
							 | 1 
							 | 
					
	c:vabb:507570 
 | 7,601 
							 | 1 
							 | 
					
	c:vabb:489945 
 | 7,137 
							 | 1 
							 | 
					
	c:vabb:513672 
 | 7,974 
							 | 1 
							 | 
					
	c:vabb:385029 
 | 4,483 
							 | 1 
							 | 
					
	c:vabb:175779 
 | 403 
							 | 1 
							 | 
					
	c:vabb:332502 
 | 2,532 
							 | 1 
							 | 
					
	c:vabb:382060 
 | 4,395 
							 | 1 
							 | 
					
	c:vabb:483391 
 | 7,005 
							 | 1 
							 | 
					
	c:vabb:313186 
 | 1,932 
							 | 1 
							 | 
					
	c:vabb:276397 
 | 998 
							 | 1 
							 | 
					
	c:vabb:304728 
 | 1,803 
							 | 1 
							 | 
					
	c:vabb:178387 
 | 435 
							 | 1 
							 | 
					
	c:vabb:377569 
 | 4,260 
							 | 1 
							 | 
					
	c:vabb:305639 
 | 1,861 
							 | 1 
							 | 
					
	c:vabb:165697 
 | 198 
							 | 1 
							 | 
					
This dataset is based on the VABB dataset, the Flemish Academic Bibliography for the Social Sciences and Humanities.
If you find our paper, benchmark or models helpful, please consider cite as follows:
@misc{banar2025mtebnle5nlembeddingbenchmark,
      title={MTEB-NL and E5-NL: Embedding Benchmark and Models for Dutch}, 
      author={Nikolay Banar and Ehsan Lotfi and Jens Van Nooten and Cristina Arhiliuc and Marija Kliocaite and Walter Daelemans},
      year={2025},
      eprint={2509.12340},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2509.12340}, 
}
The data source:
@misc{aspeslagh2024vabbshw_blx,
  author   = {Aspeslagh, P. and Guns, R. and Engels, T. C. E.},
  title    = {{VABB-SHW}: Dataset of Flemish Academic Bibliography for the Social Sciences and Humanities},
  version  = {edition 14},
  year     = {2024},
  publisher= {Zenodo},
  doi      = {10.5281/zenodo.14214806},
  url      = {https://doi.org/10.5281/zenodo.14214806},
  urldate  = {2025-08-14},
  type     = {Data set}
}