Mxbai-large-v1 EmbedPress
Collection
Large datasets of mxbai-large-v1 embeddings with their truncated texts. Useful for distillation • 13 items • Updated • 2
id stringlengths 1 4 | text stringlengths 13 148 | embedding list |
|---|---|---|
0 | Why does my cat keep patting my face? | [
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1 | How should I discipline my cat for bad behavior? | [
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2 | How can I fix my relationship with my 7 month old cat after Ive constantly abused her the past month? | [
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3 | How much purring is too much purring? | [
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4 | What is this street cat asking for, with continuous meowing? | [
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5 | Can cats safely eat raw meat? | [
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6 | Who should win at tug of war? | [
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7 | Overly friendly stray cat wants to come in our house | [
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8 | What causes a dog to lunge at an unknown child and how should the owner respond? | [
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9 | Is this normal first day home behavior for my kitten, or should I be concerned? | [
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10 | Does purring tire cats? | [
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11 | How do I apologise to my cat? | [
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12 | Is blinking slowly at cats a way to tell them that you love them? | [
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-0.... |
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Embedpress: mixedbread large on the LOTTE queries dataset
This is the query portion of the LOTTE 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 13k rows, each row has three keys:
id: the original id in the fineweb sampleembedding: 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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