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 16 101 | embedding list |
|---|---|
is toprol xl the same as metoprolol? | [
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... |
are you experienced cd steve hoffman? | [
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0.048059359192848206,
0.02588406205177307,
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0.29291433095932007,
-... |
how are babushka dolls made? | [
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0.5617473721504211,
-0.51066613197326... |
are eyes always the same size? | [
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how long do you have to wait to apply for cerb? | [
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0.0658549964427948,
-0.8227528929710388,... |
what is the volkswagen commercial song? | [
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0.7613784670829773,
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0.36563944816589355,
-0.676643311977386... |
does durable power of attorney end when person dies? | [
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0.10898350924253464,
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0.5490112900733948,
0.3615545630455017,
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0.1919807493686676,
0.07373765110969... |
what does it mean when it says your internet connection is unstable? | [
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1.3263019323349,
0.42045146226882935,
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-0.5... |
3 what does this symbol mean? | [
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-0.33577635884284973... |
what is the difference between joint ligament and tendon? | [0.12884771823883057,0.16265249252319336,-0.6370259523391724,-0.20111122727394104,0.4189727306365967(...TRUNCATED) |
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Embedpress: mixedbread large on the Gooaq queries dataset
This is the query portion of the Gooaq 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 3 million 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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