Mxbai-large-v1 EmbedPress
Collection
Large datasets of mxbai-large-v1 embeddings with their truncated texts. Useful for distillation
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13 items
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Updated
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2
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is toprol xl the same as metoprolol?
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are you experienced cd steve hoffman?
|
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] |
how are babushka dolls made?
|
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] |
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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what is the volkswagen commercial song?
|
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] |
does durable power of attorney end when person dies?
|
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what does it mean when it says your internet connection is unstable?
|
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3 what does this symbol mean?
|
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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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Number of rows:
3,012,496