GTE modernbert Embedpress
Collection
A bunch of datasets embedded with GTE modernbert. Sponsored by Mixedbread AI • 14 items • Updated
text stringlengths 4 527 | embedding list |
|---|---|
Who is Vernon L. Grose and what organizations is he a member of? | [
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Who frequently co-sponsors the writing workshop? | [
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What was the average household size in this area? | [
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What type of course did she attend in 1986? | [
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What was the median age in the town? | [
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What is the Fermi–Pasta–Ulam–Tsingou problem? | [
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What is the male-to-female ratio for individuals aged 18 and over in the county? | [
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What is the population of Ritchie County according to the 2010 census? | [
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What is the genre of the film Badmashiyaan? | [
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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? | [
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What is Sir Stephen Sedley's profession? | [
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What is Didier Ruef best known for as a photographer? | [
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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.
text (string) — the query text used for embeddingembedding (float32[768]) — the vector representation from Alibaba-NLP/gte-modernbert-basetrain — 10000 examplesAlibaba-NLP/gte-modernbert-base from Hugging Face Hub.Thanks Mixedbread AI for a GPU grant for research into small retrieval models.