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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To whom did the Virgin Mary allegedly appear in 1858 in Lourdes France?
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] |
What is in front of the Notre Dame Main Building?
|
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] |
The Basilica of the Sacred heart at Notre Dame is beside to which structure?
|
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] |
What is the Grotto at Notre Dame?
|
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] |
What sits on top of the Main Building at Notre Dame?
|
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] |
When did the Scholastic Magazine of Notre dame begin publishing?
|
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1.4420554637908936,
0.35074618458747864
] |
How often is Notre Dame's the Juggler published?
|
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] |
What is the daily student paper at Notre Dame called?
|
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] |
How many student news papers are found at Notre Dame?
|
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] |
In what year did the student paper Common Sense begin publication at Notre Dame?
|
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] |
Where is the headquarters of the Congregation of the Holy Cross?
|
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] |
What is the primary seminary of the Congregation of the Holy Cross?
|
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1.2354234457015991
] |
What is the oldest structure at Notre Dame?
|
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End of preview. Expand
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Embedpress: Alibaba-NLP/gte-modernbert-base on the sentence-transformers/squad dataset
This is the sentence-transformers/squad 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— 87599 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:
274 MB
Size of the auto-converted Parquet files:
274 MB
Number of rows:
87,599