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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 _id and text
  • queries: queries with _id and text
  • qrels: positive relevance labels with query-id and corpus-id
  • bm25: BM25 candidate lists with query-id and corpus-ids
  • harrier_oss_v1_270m: dense candidate lists from microsoft/harrier-oss-v1-270m
  • reranking_hybrid: RRF candidate lists built from bm25 and harrier_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 example wordseg@ja.
  • harrier_oss_v1_270m: dense top-500 from microsoft/harrier-oss-v1-270m. In tables this is shown as Dense; Dense means microsoft/harrier-oss-v1-270m with the web_search_query prompt for queries and cosine similarity over normalized embeddings.
  • reranking_hybrid: RRF over bm25 and harrier_oss_v1_270m using rrf_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

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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