Datasets:
text stringlengths 7 2.05k | embedding list |
|---|---|
Great white sharks are becoming a more common sight along the East Coast. Beach closures are not unusual along Cape Cod, but most beach-goers are taking the new threat in stride. | [
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We used this to create a partial sunshade over our back porch. We already had a frame up but we didn't want to spend $2k for a new custom awning. This has been a wonderful substitute, and gives us nice dappled shade. | [
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"An application of electrorheological (ER) fluid in ER clutch is considered. The clutch is embedded (...TRUNCATED) | [0.03190271928906441,0.00012971772230230272,0.023056384176015854,0.035372041165828705,0.025312446057(...TRUNCATED) |
"The concept lattice is an efficient tool of data analysis and knowledge processing. This paper firs(...TRUNCATED) | [0.06585977971553802,-0.00525509612634778,-0.0073869116604328156,0.00014423526590690017,0.0463000014(...TRUNCATED) |
query: why do seemingly perfect spherical bubbles form in water / liquid? | [0.025148194283246994,0.01475058775395155,-0.009777135215699673,0.01736249402165413,-0.0031553679145(...TRUNCATED) |
Head-drum assembly for magnetic recording/reading apparatus | [0.022837694734334946,0.003999724052846432,0.0318976454436779,-0.004971394781023264,-0.0093883546069(...TRUNCATED) |
LibGuides: Bill Howard Collection: About the authors in the Howard Collection | [0.01397118903696537,0.005592656787484884,0.0001751679665176198,-0.028084060177206993,-0.00882173050(...TRUNCATED) |
"Stats, Facts & More. For the 2014 entering class, the median GPA was 3.76 and the median LSAT was 1(...TRUNCATED) | [0.010718637146055698,0.0076919617131352425,-0.0018992748809978366,-0.007507930975407362,-0.00506587(...TRUNCATED) |
Rapper DMX On Life Support Following Heart Attack | [0.01188511960208416,0.012750285677611828,0.02495776303112507,-0.01363151241093874,0.041315186768770(...TRUNCATED) |
First Lady: President Obama Has Quit Smoking | [-0.012957909144461155,0.025044968351721764,0.009996618144214153,0.003032037988305092,0.030261360108(...TRUNCATED) |
End of preview. Expand in Data Studio
Data for training distilled text embedding models
This is a dataset of ~12M text-vector pairs produced by the Qwen3-Embedding-8b model. This dataset is intended to support training embedding models to match Qwen's outputs ("distillation").
Texts are truncated to 2048 characters. The texts used in this dataset are a mix of random samples from these datasets:
sentence-transformers/amazon-reviewssentence-transformers/msmarco-bm25sentence-transformers/eli5sentence-transformers/s2orcsentence-transformers/spectersentence-transformers/sentence-compressionsentence-transformers/npr
If the dataset size was greater than 2M, then 2M random samples were taken. If the dataset size was less than 2M, the entire dataset was used.
Embeddings were produced in around 20 hours with 8xRTX 6000 Pros.
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