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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What was Achilles' fate?
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] |
Who was the first to give Aristotle the title of "First Teacher"?
|
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] |
What did Franz Boas publicly object to?
|
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] |
What is the name of the committee that made other changes to ASCII?
|
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] |
What is the Amphibian Conservation Action Plan?
|
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] |
What is the largest river delta in the world?
|
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-0.17189811170101166
] |
What are the issues suitable for appeal in criminal cases?
|
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] |
What are the functions of Suanpan?
|
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] |
What is the thermal resistance of adobe?
|
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] |
How many radio stations does Afghanistan have?
|
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] |
What is the conclusion of archaeologists about the Bronze Age artefacts from tumulus burials?
|
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] |
What are the major parts of Azerbaijanis culture?
|
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0.9139462113380432,
0.23013228178024292,
1.1119648218154907,
0.9041429758071899
] |
What were the four stable power blocs in the Hellenistic world?
|
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End of preview. Expand
in Data Studio
Embedpress: Alibaba-NLP/gte-modernbert-base on the nthakur/swim-ir-monolingual dataset
This is the nthakur/swim-ir-monolingual 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— 501538 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:
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Number of rows:
501,538