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
Dataset Viewer
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A person on a horse jumps over a broken down airplane.
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A person is training his horse for a competition.
|
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A person is at a diner, ordering an omelette.
|
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They are smiling at their parents
|
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The kids are frowning
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A boy is jumping on skateboard in the middle of a red bridge.
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The boy skates down the sidewalk.
|
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The boy does a skateboarding trick.
|
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The boy is wearing safety equipment.
|
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End of preview. Expand
in Data Studio
Embedpress: Alibaba-NLP/gte-modernbert-base on the stanfordnlp/snli dataset
This is the stanfordnlp/snli 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— 629346 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:
1.96 GB
Size of the auto-converted Parquet files:
1.96 GB
Number of rows:
629,346