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Who is Vernon L. Grose and what organizations is he a member of?
[ 0.20066609978675842, -0.10727094858884811, -0.282780259847641, -0.14138202369213104, -2.5147757530212402, 1.1579508781433105, -0.7237014770507812, -0.6757393479347229, -0.31536751985549927, 1.1895084381103516, -1.2485517263412476, 0.2972855269908905, -0.0003198796766810119, -0.084148697555...
Who frequently co-sponsors the writing workshop?
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What was the average household size in this area?
[ 0.6577131152153015, -1.1599746942520142, -0.04240339249372482, -0.4294658303260803, 0.7033963799476624, -2.235351324081421, -0.08673915266990662, 1.944519281387329, 1.029703140258789, 1.0737316608428955, -0.48212409019470215, -0.37930890917778015, 0.9553291201591492, 0.7426955103874207, ...
What type of course did she attend in 1986?
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What was the median age in the town?
[ 1.5387450456619263, -0.27553197741508484, 0.6229097247123718, -0.7291048169136047, 0.6034287214279175, -0.6028972268104553, -0.6679751873016357, 1.6725215911865234, -0.0880872830748558, -0.22579887509346008, -0.4274456799030304, -0.9030881524085999, 0.6719229817390442, 0.4749678075313568, ...
What is the Fermi–Pasta–Ulam–Tsingou problem?
[ 3.1027209758758545, 1.48384690284729, -0.32619693875312805, 0.6373376846313477, -0.3862404525279999, 0.1214294582605362, 0.3181029260158539, 0.6776245832443237, -1.399415135383606, 1.9513322114944458, 1.1212623119354248, -1.3903292417526245, -0.28233885765075684, 1.416229248046875, 1.108...
What is the male-to-female ratio for individuals aged 18 and over in the county?
[ 0.9172781109809875, -0.3091432750225067, 0.39153826236724854, 0.44961103796958923, -0.25655868649482727, -1.584535837173462, -0.4513661563396454, 0.597008228302002, -1.0309139490127563, 0.3072623014450073, -1.2162866592407227, 0.09447009116411209, 0.04616117477416992, -0.19227628409862518,...
What is the population of Ritchie County according to the 2010 census?
[ 0.5859850645065308, 1.0096038579940796, 1.0959703922271729, 0.7955200672149658, 1.4775630235671997, -0.8294314742088318, -0.7184374928474426, 2.1910486221313477, -0.22836031019687653, -0.12786252796649933, 0.08656366914510727, -1.5383434295654297, -0.4484688639640808, -0.3755963444709778, ...
What is the genre of the film Badmashiyaan?
[ 0.6936025023460388, -1.1713544130325317, 0.00547374552115798, -0.8588126301765442, -0.9500951766967773, -0.4405670464038849, 0.915368378162384, -0.3622448742389679, 0.20517311990261078, -2.379436731338501, -1.4226813316345215, -0.9829211235046387, -2.17914080619812, -0.6798181533813477, ...
When and where was Cynthia Cozette Lee born?
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Who inherited the County of Veldenz upon her father's death in 1444?
[ 1.068051815032959, 0.46572601795196533, -1.1352421045303345, -0.19583478569984436, 0.09091571718454361, -0.9367088079452515, 0.5422316789627075, -2.322608470916748, -0.5268198251724243, -0.009284756146371365, -0.6320785880088806, 0.020754823461174965, -2.040390968322754, 0.6754438281059265...
What is Sir Stephen Sedley's profession?
[ 0.5029561519622803, -1.3451861143112183, -1.4111262559890747, 0.8031229376792908, -0.42133191227912903, 1.7846311330795288, 0.326181560754776, -1.8973164558410645, 0.14228709042072296, 0.7944760322570801, -0.7969669699668884, 1.1864537000656128, -0.5833317041397095, -0.45778176188468933, ...
What is Didier Ruef best known for as a photographer?
[ 0.6794617772102356, -0.1458691507577896, -0.24702966213226318, -1.1191893815994263, -0.8906968832015991, 0.10196322202682495, -0.5468624234199524, -0.746040403842926, -1.2626886367797852, -1.3994799852371216, -1.263420581817627, 0.9778531789779663, -0.1666242480278015, -0.34191006422042847...
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Embedpress: Alibaba-NLP/gte-modernbert-base on the sentence-transformers/mldr dataset

This is the sentence-transformers/mldr dataset, embedded with Alibaba-NLP/gte-modernbert-base.

For each example, we embed the text directly (no additional instruction prompt). Embeddings have dimensionality 768.

These embeddings are intended for tasks like large-scale distillation, retrieval, and similarity search. Because the raw text may exceed the model’s limit, we recommend truncating to the model’s maximum token length at build time.

Schema

  • text (string) — the query text used for embedding
  • embedding (float32[768]) — the vector representation from Alibaba-NLP/gte-modernbert-base

Split

  • train10000 examples

Notes

  • Produced with Alibaba-NLP/gte-modernbert-base from Hugging Face Hub.
  • If you need a smaller embedding size (e.g., matryoshka/truncated vectors), you can safely slice the embeddings without re-embedding.

Acknowledgments

Thanks Mixedbread AI for a GPU grant for research into small retrieval models.

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