GTE modernbert Embedpress
Collection
A bunch of datasets embedded with GTE modernbert. Sponsored by Mixedbread AI • 14 items • Updated
text stringlengths 10 664 | embedding list |
|---|---|
Are group 2 innate lymphoid cells ( ILC2s ) increased in chronic rhinosinusitis with nasal polyps or eosinophilia? | [
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Does vagus nerve contribute to the development of steatohepatitis and obesity in phosphatidylethanolamine N-methyltransferase deficient mice? | [
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Does psammaplin A induce Sirtuin 1-dependent autophagic cell death in doxorubicin-resistant MCF-7/adr human breast cancer cells and xenografts? | [
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Is methylation of the FGFR2 gene associated with high birth weight centile in humans? | [
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Do tumor-infiltrating immune cell profiles and their change after neoadjuvant chemotherapy predict response and prognosis of breast cancer? | [
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Is hidradenitis suppurativa a systemic disease with substantial comorbidity burden : a chart-verified case-control analysis? | [
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Does reference range for serum and salivary testosterone in young men of Mediterranean region? | [
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Are secretory phospholipases A2 secreted from ciliated cells and increase mucin and eicosanoid secretion from goblet cells? | [
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Is admission hyperglycemia associated with failed reperfusion following fibrinolytic therapy in patients with STEMI : results of a retrospective study? | [
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Do systematic Reviews Published in Emergency Medicine Journals Routinely Search Clinical Trials Registries : A Cross-Sectional Analysis? | [
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Do obese patients with idiopathic pulmonary fibrosis have a higher 90-day mortality risk with bilateral lung transplantation? | [
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Does promoter variant rs2301228 on the neural cell adhesion molecule 1 gene confer risk of schizophrenia in Han Chinese? | [
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Are [ Higher nitric oxide levels associated with disease activity in Egyptian rheumatoid arthritis patients ]? | [
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... |
This is the qiaojin/PubMedQA 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.
id (string) — unique identifiertext (string) — the query text used for embeddingembedding (float32[768]) — the vector representation from Alibaba-NLP/gte-modernbert-basetrain — 272518 examplesAlibaba-NLP/gte-modernbert-base from Hugging Face Hub.Thanks Mixedbread AI for a GPU grant for research into small retrieval models.