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
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},
}