GTE modernbert Embedpress
Collection
A bunch of datasets embedded with GTE modernbert. Sponsored by Mixedbread AI • 14 items • Updated
text stringlengths 5 429 | embedding list |
|---|---|
define extreme | [
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what does chattel mean on credit history | [
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what was the great leap forward brainly | [
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tattoo fixers how much does it cost | [
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what is decentralization process. | [
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how many cars enter the la jolla concours d' elegance? | [
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what is a bank transit number | [
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how much can i contribute to nondeductible ira | [
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what are the four major groups of elements | [
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sanitizer temperature | [
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blood clots in urine after menopause | [
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highmark address | [
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per sf cost in california for tenant build out | [
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0.048758625984191895,... |
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Embedpress: Alibaba-NLP/gte-modernbert-base on the sentence-transformers/msmarco-corpus dataset
This is the sentence-transformers/msmarco-corpus 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 embeddingembedding(float32[768]) — the vector representation fromAlibaba-NLP/gte-modernbert-base
Split
train— 1010916 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.
- Downloads last month
- 28
Size of downloaded dataset files:
3.16 GB
Size of the auto-converted Parquet files:
3.16 GB
Number of rows:
1,010,916