MTEB-NL
Collection
Massive Text Embedding Benchmark for Dutch. Check https://github.com/nikolay-banar/mteb-nl-dev to evaluate your models.
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26 items
•
Updated
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2
query-id
int64 133
137k
| score
int64 1
1
| corpus-id
int64 133
137k
|
---|---|---|
56,627 | 1 | 56,627 |
136,477 | 1 | 136,477 |
98,166 | 1 | 98,166 |
90,786 | 1 | 90,786 |
12,779 | 1 | 12,779 |
47,639 | 1 | 47,639 |
92,686 | 1 | 92,686 |
45,501 | 1 | 45,501 |
50,730 | 1 | 50,730 |
99,900 | 1 | 99,900 |
61,694 | 1 | 61,694 |
42,774 | 1 | 42,774 |
21,065 | 1 | 21,065 |
93,053 | 1 | 93,053 |
11,525 | 1 | 11,525 |
77,281 | 1 | 77,281 |
65,387 | 1 | 65,387 |
85,794 | 1 | 85,794 |
61,236 | 1 | 61,236 |
58,609 | 1 | 58,609 |
78,722 | 1 | 78,722 |
133,288 | 1 | 133,288 |
120,974 | 1 | 120,974 |
61,272 | 1 | 61,272 |
39,380 | 1 | 39,380 |
65,436 | 1 | 65,436 |
30,108 | 1 | 30,108 |
133,168 | 1 | 133,168 |
75,624 | 1 | 75,624 |
24,593 | 1 | 24,593 |
104,580 | 1 | 104,580 |
34,962 | 1 | 34,962 |
38,740 | 1 | 38,740 |
15,173 | 1 | 15,173 |
20,608 | 1 | 20,608 |
116,729 | 1 | 116,729 |
56,057 | 1 | 56,057 |
127,861 | 1 | 127,861 |
62,348 | 1 | 62,348 |
19,865 | 1 | 19,865 |
62,349 | 1 | 62,349 |
72,298 | 1 | 72,298 |
40,533 | 1 | 40,533 |
73,099 | 1 | 73,099 |
36,592 | 1 | 36,592 |
58,174 | 1 | 58,174 |
847 | 1 | 847 |
113,820 | 1 | 113,820 |
66,454 | 1 | 66,454 |
13,109 | 1 | 13,109 |
84,215 | 1 | 84,215 |
137,101 | 1 | 137,101 |
34,128 | 1 | 34,128 |
39,142 | 1 | 39,142 |
86,723 | 1 | 86,723 |
62,551 | 1 | 62,551 |
33,328 | 1 | 33,328 |
1,177 | 1 | 1,177 |
42,318 | 1 | 42,318 |
116,246 | 1 | 116,246 |
70,151 | 1 | 70,151 |
28,784 | 1 | 28,784 |
115,844 | 1 | 115,844 |
9,608 | 1 | 9,608 |
9,015 | 1 | 9,015 |
41,846 | 1 | 41,846 |
10,750 | 1 | 10,750 |
94,776 | 1 | 94,776 |
38,567 | 1 | 38,567 |
37,244 | 1 | 37,244 |
79,712 | 1 | 79,712 |
89,965 | 1 | 89,965 |
72,236 | 1 | 72,236 |
106,146 | 1 | 106,146 |
41,282 | 1 | 41,282 |
20,879 | 1 | 20,879 |
13,971 | 1 | 13,971 |
20,712 | 1 | 20,712 |
100,200 | 1 | 100,200 |
111,085 | 1 | 111,085 |
131,258 | 1 | 131,258 |
125,712 | 1 | 125,712 |
116,328 | 1 | 116,328 |
52,426 | 1 | 52,426 |
206 | 1 | 206 |
111,273 | 1 | 111,273 |
101,131 | 1 | 101,131 |
69,319 | 1 | 69,319 |
86,946 | 1 | 86,946 |
124,339 | 1 | 124,339 |
60,941 | 1 | 60,941 |
97,193 | 1 | 97,193 |
78,661 | 1 | 78,661 |
10,168 | 1 | 10,168 |
123,611 | 1 | 123,611 |
60,780 | 1 | 60,780 |
61,929 | 1 | 61,929 |
72,894 | 1 | 72,894 |
38,005 | 1 | 38,005 |
68,042 | 1 | 68,042 |
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},
}