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 205
255k
| corpus-id
int64 205
255k
| score
int64 1
1
|
|---|---|---|
7,834
| 7,834
| 1
|
124,788
| 124,788
| 1
|
202,109
| 202,109
| 1
|
93,877
| 93,877
| 1
|
20,941
| 20,941
| 1
|
65,169
| 65,169
| 1
|
80,565
| 80,565
| 1
|
103,212
| 103,212
| 1
|
1,113
| 1,113
| 1
|
145,613
| 145,613
| 1
|
109,357
| 109,357
| 1
|
211,274
| 211,274
| 1
|
154,892
| 154,892
| 1
|
91,664
| 91,664
| 1
|
246,531
| 246,531
| 1
|
30,542
| 30,542
| 1
|
174,454
| 174,454
| 1
|
107,600
| 107,600
| 1
|
162,357
| 162,357
| 1
|
150,856
| 150,856
| 1
|
169,946
| 169,946
| 1
|
133,325
| 133,325
| 1
|
108,080
| 108,080
| 1
|
211,407
| 211,407
| 1
|
11,138
| 11,138
| 1
|
131,234
| 131,234
| 1
|
183,993
| 183,993
| 1
|
186,717
| 186,717
| 1
|
70,102
| 70,102
| 1
|
240,211
| 240,211
| 1
|
96,917
| 96,917
| 1
|
150,167
| 150,167
| 1
|
153,099
| 153,099
| 1
|
237,018
| 237,018
| 1
|
234,308
| 234,308
| 1
|
188,046
| 188,046
| 1
|
96,715
| 96,715
| 1
|
92,497
| 92,497
| 1
|
101,707
| 101,707
| 1
|
128,037
| 128,037
| 1
|
228,807
| 228,807
| 1
|
241,038
| 241,038
| 1
|
158,339
| 158,339
| 1
|
247,218
| 247,218
| 1
|
36,350
| 36,350
| 1
|
192,186
| 192,186
| 1
|
216,487
| 216,487
| 1
|
191,699
| 191,699
| 1
|
210,323
| 210,323
| 1
|
211,719
| 211,719
| 1
|
187,142
| 187,142
| 1
|
38,343
| 38,343
| 1
|
201,444
| 201,444
| 1
|
211,418
| 211,418
| 1
|
150,426
| 150,426
| 1
|
24,796
| 24,796
| 1
|
239,709
| 239,709
| 1
|
248,148
| 248,148
| 1
|
36,739
| 36,739
| 1
|
214,855
| 214,855
| 1
|
180,243
| 180,243
| 1
|
145,122
| 145,122
| 1
|
27,241
| 27,241
| 1
|
17,096
| 17,096
| 1
|
118,252
| 118,252
| 1
|
48,953
| 48,953
| 1
|
209,964
| 209,964
| 1
|
86,911
| 86,911
| 1
|
240,729
| 240,729
| 1
|
230,957
| 230,957
| 1
|
208,554
| 208,554
| 1
|
22,964
| 22,964
| 1
|
224,892
| 224,892
| 1
|
184,610
| 184,610
| 1
|
71,529
| 71,529
| 1
|
236,413
| 236,413
| 1
|
137,749
| 137,749
| 1
|
41,262
| 41,262
| 1
|
68,026
| 68,026
| 1
|
79,252
| 79,252
| 1
|
68,109
| 68,109
| 1
|
35,463
| 35,463
| 1
|
159,083
| 159,083
| 1
|
227,766
| 227,766
| 1
|
186,688
| 186,688
| 1
|
216,482
| 216,482
| 1
|
17,004
| 17,004
| 1
|
40,390
| 40,390
| 1
|
201,621
| 201,621
| 1
|
136,548
| 136,548
| 1
|
200,812
| 200,812
| 1
|
50,792
| 50,792
| 1
|
120,281
| 120,281
| 1
|
29,776
| 29,776
| 1
|
38,417
| 38,417
| 1
|
144,557
| 144,557
| 1
|
197,511
| 197,511
| 1
|
71,447
| 71,447
| 1
|
251,395
| 251,395
| 1
|
10,342
| 10,342
| 1
|
This dataset contains Dutch news articles, sourced from the Nederlandse Oproep Stichting.
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{max_scheijen_2022,
title={Dutch News Articles},
url={https://www.kaggle.com/ds/1013130},
DOI={10.34740/KAGGLE/DS/1013130},
publisher={Kaggle},
author={Max Scheijen},
year={2022}
}