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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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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0.20073695480823517,
1.4337431192398071,
-0.3321410119533539,
-0.7453046441078186,
0.6014511585235596
] |
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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End of preview. Expand
in Data Studio
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 embeddingembedding(float32[768]) — the vector representation fromAlibaba-NLP/gte-modernbert-base
Split
train— 10000 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:
31.8 MB
Size of the auto-converted Parquet files:
31.8 MB
Number of rows:
10,000