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NanoMTEB-Dutch
This dataset is a Nano-style retrieval dataset for HAKARI-bench.
NanoMTEB-Dutch is a compact Dutch retrieval benchmark containing the MTEB-NL retrieval-family splits. It combines Dutch BEIR-style tasks, legal and public-domain QA, news, tender, web FAQ, Wikipedia, and cross-lingual Belebele retrieval splits.
Usage
from datasets import load_dataset
dataset_id = "hakari-bench/NanoMTEB-Dutch"
split = "argu_ana_nl"
queries = load_dataset(dataset_id, "queries", split=split)
corpus = load_dataset(dataset_id, "corpus", split=split)
qrels = load_dataset(dataset_id, "qrels", split=split)
reranking_candidates = load_dataset(dataset_id, "reranking_hybrid", split=split)
Data Layout
This dataset uses six Hugging Face Datasets configs:
corpus: documents with_idandtextqueries: queries with_idandtextqrels: positive relevance labels withquery-idandcorpus-idbm25: BM25 candidate lists withquery-idandcorpus-idsharrier_oss_v1_270m: dense candidate lists frommicrosoft/harrier-oss-v1-270mreranking_hybrid: RRF candidate lists built frombm25andharrier_oss_v1_270m
Each config has the same Nano split names.
Candidate Construction
bm25: local BM25 top-500 with automatic language-aware tokenization. The resolved tokenizer is shown in the Candidate Quality table, for examplewordseg@ja.harrier_oss_v1_270m: dense top-500 frommicrosoft/harrier-oss-v1-270m. In tables this is shown asDense; Dense meansmicrosoft/harrier-oss-v1-270mwith theweb_search_queryprompt for queries and cosine similarity over normalized embeddings.reranking_hybrid: RRF overbm25andharrier_oss_v1_270musingrrf_k=100, keeping the RRF top-100.
Safeguard means rank 101 is appended only when RRF top-100 contains no qrels-positive document.
Split Statistics
Length statistics are character counts computed with len(str(text)).
| Nano split | Queries | Corpus | Qrels | Query chars avg | Query chars p50 | Query chars p75 | Doc chars avg | Doc chars p50 | Doc chars p75 |
|---|---|---|---|---|---|---|---|---|---|
| argu_ana_nl | 199 | 8624 | 199 | 1316.9 | 1106.0 | 1500.5 | 1141.1 | 1029.0 | 1399.0 |
| b_bsardnl | 200 | 10000 | 923 | 93.8 | 89.0 | 117.0 | 863.2 | 471.0 | 964.2 |
| belebele_eng_latn_nld_latn | 200 | 488 | 200 | 69.4 | 68.5 | 81.5 | 475.5 | 456.5 | 585.2 |
| belebele_nld_latn_eng_latn | 200 | 488 | 200 | 81.3 | 81.0 | 96.0 | 529.1 | 520.0 | 658.8 |
| belebele_nld_latn_nld_latn | 200 | 488 | 200 | 69.4 | 68.5 | 81.5 | 529.1 | 520.0 | 658.8 |
| cqadupstack_android | 200 | 10000 | 200 | 59.1 | 56.0 | 72.0 | 638.1 | 505.0 | 764.0 |
| cqadupstack_english | 200 | 10000 | 200 | 49.6 | 47.0 | 61.2 | 521.7 | 408.0 | 634.2 |
| cqadupstack_gis | 200 | 10000 | 200 | 62.7 | 58.0 | 75.0 | 1036.1 | 718.0 | 1206.0 |
| cqadupstack_mathematica | 200 | 10000 | 200 | 55.3 | 53.0 | 64.2 | 1166.7 | 874.0 | 1461.2 |
| cqadupstack_physics | 200 | 10000 | 200 | 62.1 | 55.0 | 78.0 | 870.4 | 668.0 | 1093.0 |
| cqadupstack_programmers | 200 | 10000 | 200 | 61.2 | 59.0 | 76.0 | 1142.3 | 893.5 | 1436.0 |
| cqadupstack_stats | 200 | 10000 | 200 | 64.3 | 60.5 | 80.0 | 1097.6 | 862.0 | 1373.0 |
| cqadupstack_tex | 200 | 10000 | 200 | 53.5 | 49.5 | 66.2 | 1211.8 | 864.0 | 1490.2 |
| cqadupstack_webmasters | 200 | 10000 | 200 | 58.8 | 56.5 | 76.2 | 761.2 | 613.0 | 924.0 |
| cqadupstack_wordpress | 200 | 10000 | 200 | 56.5 | 55.5 | 66.0 | 1183.4 | 811.5 | 1391.0 |
| dutch_news_articles | 200 | 10000 | 200 | 49.0 | 47.0 | 60.0 | 1146.7 | 799.0 | 1347.2 |
| fever | 200 | 10000 | 233 | 54.9 | 50.5 | 64.2 | 445.7 | 295.0 | 539.0 |
| legal_qanl | 102 | 10000 | 157 | 104.3 | 87.0 | 121.0 | 665.0 | 634.0 | 1061.0 |
| nfcorpus_nl | 199 | 3593 | 5880 | 18.5 | 12.0 | 22.5 | 1743.7 | 1769.0 | 2052.0 |
| nq | 200 | 10000 | 242 | 52.7 | 49.0 | 59.0 | 595.4 | 530.0 | 802.0 |
| open_tender | 199 | 10000 | 199 | 62.2 | 52.0 | 78.0 | 442.0 | 338.0 | 641.0 |
| quora | 200 | 10000 | 573 | 51.8 | 49.0 | 62.2 | 66.6 | 57.0 | 79.0 |
| sci_fact_nl | 200 | 5183 | 226 | 100.1 | 92.5 | 121.0 | 1640.3 | 1555.0 | 1978.0 |
| scidocs_nl | 200 | 10000 | 986 | 77.7 | 74.0 | 91.0 | 1331.6 | 1235.0 | 1581.0 |
| vabb | 200 | 9123 | 200 | 74.5 | 71.5 | 97.2 | 837.9 | 661.0 | 1167.5 |
| web_faq_nld | 200 | 10000 | 200 | 50.4 | 45.5 | 57.0 | 322.2 | 263.0 | 378.0 |
| wikipedia_multilingual_nl | 200 | 10000 | 200 | 63.5 | 62.0 | 76.0 | 381.0 | 309.5 | 496.2 |
Candidate Quality
nDCG@10 and Recall@100 are computed from the included candidate rankings against the included qrels, then reported as 0-100 scores such as 52.45. Recall@100 uses only the top 100 candidates; an optional rank-101 safeguard positive is not counted in Recall@100.
Dense means microsoft/harrier-oss-v1-270m with the web_search_query prompt and cosine similarity.
| Nano split | BM25 tokenizer | BM25 nDCG@10 | Dense nDCG@10 | Hybrid nDCG@10 | BM25 Recall@100 | Dense Recall@100 | Hybrid Recall@100 | Hybrid candidates | Safeguard positives |
|---|---|---|---|---|---|---|---|---|---|
| Mean | - | 46.73 | 55.95 | 52.40 | 68.97 | 78.93 | 81.54 | - | 756 |
| argu_ana_nl | regex | 29.70 | 37.23 | 35.29 | 92.46 | 97.49 | 99.50 | 100-101 | 1 |
| b_bsardnl | regex | 12.49 | 27.49 | 22.34 | 38.04 | 61.84 | 60.33 | 100-101 | 42 |
| belebele_eng_latn_nld_latn | regex | 47.38 | 89.18 | 62.83 | 61.50 | 98.50 | 99.00 | 100-101 | 2 |
| belebele_nld_latn_eng_latn | english_porter_stop | 32.88 | 93.06 | 44.56 | 44.00 | 98.50 | 99.00 | 100-101 | 2 |
| belebele_nld_latn_nld_latn | regex | 83.64 | 88.99 | 89.99 | 97.00 | 96.50 | 99.00 | 100-101 | 2 |
| cqadupstack_android | regex | 29.44 | 38.62 | 38.36 | 63.00 | 77.50 | 78.00 | 100-101 | 44 |
| cqadupstack_english | regex | 27.69 | 35.87 | 32.48 | 49.50 | 65.00 | 68.50 | 100-101 | 63 |
| cqadupstack_gis | regex | 27.90 | 32.02 | 32.72 | 60.00 | 68.50 | 72.00 | 100-101 | 56 |
| cqadupstack_mathematica | regex | 18.26 | 19.92 | 21.81 | 43.50 | 52.50 | 57.50 | 100-101 | 85 |
| cqadupstack_physics | regex | 32.69 | 40.20 | 37.56 | 62.50 | 75.00 | 75.50 | 100-101 | 49 |
| cqadupstack_programmers | regex | 29.91 | 39.06 | 36.38 | 60.50 | 76.00 | 76.00 | 100-101 | 48 |
| cqadupstack_stats | regex | 28.27 | 32.24 | 33.37 | 57.00 | 65.50 | 68.00 | 100-101 | 64 |
| cqadupstack_tex | regex | 21.06 | 26.11 | 29.26 | 56.50 | 64.00 | 67.50 | 100-101 | 65 |
| cqadupstack_webmasters | regex | 23.07 | 29.47 | 29.68 | 55.50 | 67.00 | 72.50 | 100-101 | 55 |
| cqadupstack_wordpress | regex | 26.08 | 30.57 | 33.71 | 59.50 | 68.50 | 72.50 | 100-101 | 55 |
| dutch_news_articles | regex | 88.68 | 89.96 | 89.54 | 97.50 | 94.50 | 99.50 | 100-101 | 1 |
| fever | regex | 92.21 | 92.07 | 92.15 | 98.83 | 93.92 | 99.58 | 100 | 0 |
| legal_qanl | regex | 81.43 | 80.50 | 84.55 | 97.55 | 94.16 | 98.53 | 100-101 | 1 |
| nfcorpus_nl | regex | 26.83 | 25.90 | 26.56 | 19.99 | 26.68 | 26.14 | 100-101 | 37 |
| nq | regex | 45.05 | 63.35 | 54.73 | 87.75 | 91.00 | 98.75 | 100-101 | 2 |
| open_tender | regex | 67.12 | 60.44 | 65.56 | 80.90 | 80.90 | 85.43 | 100-101 | 29 |
| quora | regex | 83.91 | 92.89 | 87.72 | 94.51 | 95.92 | 99.32 | 100 | 0 |
| sci_fact_nl | regex | 61.60 | 67.58 | 67.09 | 84.53 | 92.83 | 95.00 | 100-101 | 10 |
| scidocs_nl | regex | 13.35 | 22.64 | 18.35 | 27.07 | 45.84 | 43.02 | 100-101 | 26 |
| vabb | regex | 69.52 | 78.04 | 75.40 | 86.50 | 90.00 | 92.00 | 100-101 | 16 |
| web_faq_nld | regex | 76.98 | 87.76 | 84.42 | 90.50 | 95.50 | 100.00 | 100 | 0 |
| wikipedia_multilingual_nl | regex | 84.44 | 89.48 | 88.40 | 96.00 | 97.50 | 99.50 | 100-101 | 1 |
Hybrid Safeguard Summary
- Safeguard positives: 756
- Rows limited by corpus size: 0
- Metadata file:
reranking_hybrid_metadata.json
Source Links
- clips/beir-nl-arguana
- clips/mteb-nl-bbsard
- mteb/belebele
- clips/beir-nl-cqadupstack
- clips/mteb-nl-news-articles-ret
- clips/beir-nl-fever
- clips/mteb-nl-legalqa-pr
- clips/beir-nl-nfcorpus
- clips/beir-nl-nq
- clips/mteb-nl-opentender-ret
- clips/beir-nl-quora
- clips/beir-nl-scifact
- clips/beir-nl-scidocs
- clips/mteb-nl-vabb-ret
- mteb/WebFAQRetrieval
- mteb/WikipediaRetrievalMultilingual
License
NanoMTEB-Dutch is a derived dataset. Users must comply with the licenses, terms, and attribution requirements of the upstream MTEB task sources and their original datasets.
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