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MTEB-lite / validation /eng.md
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ehsaneddin
MTEB-lite: eng (K=100) and eng-super (K=20) - ids + loader, validation, selection criteria, reference models
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MTEB-lite v2 selection report (eng, K=100)

Reference set (28 models, 15 families, <= 3 per family): A-v3@6750: A-lin0.5, A-lin0.6, A-ties-d0.1-l0.5; AS3: AS3-dareties-p0.9-l1.0, AS3-ties-d0.3-l0.5, AS3-ties-d0.3-l1.0; AV2: AV2-dareties-p0.9-l1.0, AV2-lin0.5, AV2-lin1.0; W: W-A0.7-S3-0.3-l0.5; all-MiniLM-L6-v2: all-MiniLM-L6-v2; bge-m3: bge-m3; e5-base-v2: e5-base-v2; embeddinggemma-300m: embeddinggemma-300m; multilingual-e5-base: multilingual-e5-base; multilingual-e5-small: multilingual-e5-small; qwen3-0.6b: qwen3-0.6b, qwen3-0.6b+norm; qwen3-4b: qwen3-4b; v1-F/P: F-lin0.5, F-lin1.0, F-ties-d0.1-l0.5; v4: S-lin0.5, V-lin0.7, V-ties-d0.1-l0.5; v5: S5-lin0.5, V5-ties-d0.1-l0.5, V5-ties-d0.3-l0.7

K=100 for per-item tasks, K=100 for set-metric tasks. Chosen: anchor/mean+anchorset (per-item method/estimator by the family-level LOMO macro tau among {anchor, fisher} x {mean, pirt, gp}; set-metric selection: anchorset). Set-metric tasks (STS, clustering, pair classification): no per-item IRT (the metric is not a sum over items) -> stratified random K ('strat') or unweighted anchor points on per-item outcomes ('anchorset'), + calibration. Random = uniform K, metrics averaged over 10 single draws. tau_res = tau on the pairs whose true score differs by >= 0.5 points.

Aggregate, family-level LOMO (20 held-out models with all tasks; scores x100)

estimate macro tau macro tau_res macro r macro MAE mean tau mean tau_res mean r mean MAE
anchor/mean+strat 0.848 0.919 0.991 0.429 0.881 0.938 0.993 0.541
anchor/mean+anchorset (chosen) 0.852 0.950 0.992 0.438 0.894 0.950 0.994 0.468
anchor/pirt+strat 0.810 0.860 0.983 0.340 0.839 0.887 0.985 0.430
anchor/pirt+anchorset 0.757 0.862 0.981 0.397 0.862 0.900 0.984 0.422
anchor/gp+strat 0.824 0.887 0.988 0.373 0.850 0.906 0.990 0.471
anchor/gp+anchorset 0.799 0.912 0.987 0.393 0.873 0.925 0.990 0.409
fisher/mean+strat 0.743 0.833 0.976 0.510 0.761 0.868 0.976 0.703
fisher/mean+anchorset 0.725 0.849 0.978 0.512 0.820 0.887 0.980 0.566
fisher/pirt+strat 0.743 0.833 0.976 0.516 0.757 0.865 0.976 0.712
fisher/pirt+anchorset 0.725 0.849 0.978 0.509 0.820 0.887 0.980 0.574
fisher/gp+strat 0.745 0.833 0.976 0.504 0.760 0.868 0.976 0.702
fisher/gp+anchorset 0.725 0.849 0.978 0.502 0.820 0.887 0.980 0.564
random 0.833 0.897 0.989 0.391 0.862 0.907 0.989 0.465
pool 0.892 0.937 0.994 0.168 0.860 0.912 0.995 0.211

Aggregate, distinct-level LOMO (20 held-out models with all tasks; scores x100)

estimate macro tau macro tau_res macro r macro MAE mean tau mean tau_res mean r mean MAE
anchor/mean+strat 0.858 0.921 0.991 0.414 0.882 0.939 0.993 0.516
anchor/mean+anchorset (chosen) 0.881 0.950 0.989 0.422 0.934 0.963 0.993 0.429
anchor/pirt+strat 0.815 0.862 0.983 0.337 0.844 0.889 0.985 0.417
anchor/pirt+anchorset 0.807 0.862 0.979 0.420 0.871 0.887 0.984 0.415
anchor/gp+strat 0.835 0.887 0.987 0.363 0.862 0.908 0.990 0.453
anchor/gp+anchorset 0.871 0.925 0.984 0.407 0.902 0.925 0.989 0.410
fisher/mean+strat 0.771 0.834 0.977 0.497 0.811 0.879 0.976 0.678
fisher/mean+anchorset 0.799 0.849 0.977 0.463 0.841 0.887 0.980 0.522
fisher/pirt+strat 0.768 0.834 0.976 0.503 0.807 0.879 0.976 0.687
fisher/pirt+anchorset 0.786 0.849 0.976 0.462 0.839 0.887 0.980 0.530
fisher/gp+strat 0.768 0.834 0.976 0.492 0.808 0.879 0.976 0.678
fisher/gp+anchorset 0.797 0.849 0.976 0.457 0.839 0.887 0.980 0.521
random 0.848 0.901 0.989 0.382 0.868 0.907 0.989 0.455
pool 0.881 0.925 0.994 0.165 0.860 0.912 0.995 0.206

Per task (family-level LOMO; chosen estimator vs random K vs pool)

task type ref chosen tau chosen r chosen MAE random tau random MAE pool tau pool MAE
ArguAna Retrieval 28 0.905 0.976 0.020 0.903 0.016 0.963 0.006
ArXivHierarchicalClusteringP2P Clustering 28 0.650 0.956 0.009 0.650 0.009 0.629 0.007
ArXivHierarchicalClusteringS2S Clustering 28 0.528 0.889 0.014 0.625 0.010 0.841 0.008
AskUbuntuDupQuestions Reranking 27 0.726 0.987 0.005 0.628 0.007 0.960 0.000
BIOSSES STS 27 0.897 0.987 0.003 0.897 0.003 0.897 0.003
Banking77Classification Classification 27 0.714 0.976 0.013 0.676 0.012 0.823 0.005
BiorxivClusteringP2P.v2 Clustering 28 0.735 0.919 0.017 0.756 0.017 0.894 0.007
CQADupstackGamingRetrieval Retrieval 21 0.694 0.752 0.016 0.686 0.017 0.943 0.007
CQADupstackUnixRetrieval Retrieval 21 0.780 0.890 0.019 0.761 0.016 0.933 0.004
ClimateFEVERHardNegatives Retrieval 22 0.870 0.942 0.017 0.783 0.017 0.965 0.006
FEVERHardNegatives Retrieval 22 0.887 0.964 0.013 0.798 0.014 0.957 0.004
FiQA2018 Retrieval 27 0.829 0.988 0.012 0.742 0.014 0.909 0.007
HotpotQAHardNegatives Retrieval 28 0.841 0.993 0.011 0.745 0.011 0.940 0.007
ImdbClassification Classification 27 0.794 0.988 0.013 0.670 0.012 0.880 0.008
MTOPDomainClassification Classification 27 0.926 0.973 0.010 0.859 0.008 0.966 0.002
MassiveIntentClassification Classification 28 0.947 0.994 0.008 0.902 0.012 0.973 0.004
MassiveScenarioClassification Classification 28 0.942 0.990 0.010 0.915 0.011 0.973 0.004
MedrxivClusteringP2P.v2 Clustering 28 0.618 0.631 0.023 0.643 0.014 0.804 0.005
MedrxivClusteringS2S.v2 Clustering 28 0.724 0.940 0.012 0.577 0.013 0.714 0.005
MindSmallReranking Reranking 27 0.291 -0.553 0.016 0.341 0.008 0.869 0.002
SCIDOCS Retrieval 21 0.397 0.939 0.008 0.507 0.008 0.923 0.002
SICK-R STS 28 0.666 0.945 0.011 0.673 0.016 0.958 0.005
STS12 STS 28 0.687 0.888 0.021 0.748 0.014 0.973 0.003
STS13 STS 28 0.942 0.986 0.014 0.892 0.011 0.973 0.002
STS14 STS 28 0.798 0.970 0.017 0.807 0.016 0.958 0.004
STS15 STS 28 0.830 0.936 0.011 0.735 0.010 0.905 0.004
STSBenchmark STS 28 0.867 0.953 0.014 0.877 0.010 0.973 0.002
SprintDuplicateQuestions PairClassification 28 0.676 0.256 0.058 -0.041 0.042 0.682 0.013
StackExchangeClustering.v2 Clustering 28 0.687 0.747 0.058 0.626 0.050 0.830 0.030
StackExchangeClusteringP2P.v2 Clustering 27 0.171 0.424 0.042 0.295 0.039 0.634 0.024
TRECCOVID Retrieval 22 0.487 0.919 0.033 0.487 0.033 0.635 0.024
Touche2020Retrieval.v3 Retrieval 20 0.757 0.904 0.018 0.757 0.018 0.757 0.017
ToxicConversationsClassification Classification 28 0.920 0.971 0.014 0.857 0.018 0.889 0.013
TweetSentimentExtractionClassification Classification 27 0.857 0.967 0.011 0.743 0.015 0.960 0.003
TwentyNewsgroupsClustering.v2 Clustering 27 0.703 0.841 0.036 0.606 0.032 0.789 0.007
TwitterSemEval2015 PairClassification 27 0.526 0.465 0.041 0.551 0.020 0.823 0.006
TwitterURLCorpus PairClassification 28 0.130 0.307 0.018 0.399 0.012 0.825 0.005
SummEvalSummarization.v2 Summarization 28 0.995 0.997 0.001 0.995 0.001 0.995 0.001
AmazonCounterfactualClassification Classification 28 0.785 0.994 0.008 0.731 0.012 0.884 0.004
STS17 STS 28 0.745 0.925 0.014 0.846 0.007 0.984 0.001
STS22.v2 STS 22 0.878 0.912 0.005 0.713 0.009 0.974 0.003