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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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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Size of downloaded dataset files:
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Number of rows:
2,863