Mxbai-large-v1 EmbedPress
Collection
Large datasets of mxbai-large-v1 embeddings with their truncated texts. Useful for distillation • 13 items • Updated • 2
text stringlengths 11 129 | embedding list |
|---|---|
When was quantum field theory developed? | [
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When is the dialectical method used? | [
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Have the Colorado Rockies won a title? | [
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When were bluebonnets named the state flower of Texas? | [
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What is the Navy's military mascot? | [
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How many permanent members of the United Nations Security Council are there? | [
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When was the first web page released? | [
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When did Iain M. Banks create The Culture? | [
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Who started human rights? | [
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Who is the Mayor of San Francisco? | [0.7303354144096375,0.44550949335098267,0.26338911056518555,-0.42809584736824036,-0.1250670552253723(...TRUNCATED) |
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Embedpress: mixedbread large on the MIRACL queries dataset
This is the query portion of the MIRACL dataset, embedded with Mixedbread AI's mixedbread-ai/mxbai-embed-large-v1. For each document, we take the first 510 tokens (the model's max length -2 special tokens), and embed it, not using any instructions. Because the model was trained using Matryoshka Representation Learning, these embeddings can safely be truncated.
These are mainly useful for large-scale knowledge distillation.
The dataset consists of 2863 rows, each row has two keys:
embedding: The 1024-dimensional embeddingtext: The original text, truncated to the slice that was actually seen by the model
Because we truncate the original text, this can be directly used for training in, e.g., sentence-transformers, without having to worry about manually truncating text, matching etc.
Acknowledgments
Thanks Mixedbread AI for a GPU grant for research into small retrieval models.
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