GTE modernbert Embedpress
Collection
A bunch of datasets embedded with GTE modernbert. Sponsored by Mixedbread AI
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14 items
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Updated
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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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End of preview. Expand
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Embedpress: Alibaba-NLP/gte-modernbert-base on the qiaojin/PubMedQA dataset
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.
Schema
id(string) — unique identifiertext(string) — the query text used for embeddingembedding(float32[768]) — the vector representation fromAlibaba-NLP/gte-modernbert-base
Split
train— 272518 examples
Notes
- Produced with
Alibaba-NLP/gte-modernbert-basefrom 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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Size of downloaded dataset files:
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Size of the auto-converted Parquet files:
863 MB
Number of rows:
272,518