name stringclasses 5 values | id int64 0 4 | vectors sequencelengths 256 256 |
|---|---|---|
triforce | 0 | [
0.006795891094952822,
0.05867671221494675,
-0.043064724653959274,
-0.12423104792833328,
0.11127322167158127,
-0.08000995218753815,
-0.1197265014052391,
0.04460153728723526,
-0.01543174497783184,
0.06449150294065475,
-0.06458225101232529,
-0.1552700251340866,
-0.04827922210097313,
0.0465668... |
master sword | 1 | [
0.059765975922346115,
-0.16152609884738922,
-0.08500079065561295,
0.05996256321668625,
0.07406307756900787,
-0.08716385811567307,
-0.13695606589317322,
0.15171654522418976,
-0.08994615823030472,
-0.05461335554718971,
-0.06334054470062256,
-0.13050876557826996,
-0.07689301669597626,
-0.0446... |
hylian shield | 2 | [
0.043672915548086166,
-0.2632690370082855,
-0.09271623194217682,
-0.10097651183605194,
0.01487741619348526,
-0.01309832651168108,
-0.1825493574142456,
0.08161257952451706,
-0.05999086797237396,
-0.10354607552289963,
0.02517995983362198,
-0.015506134368479252,
-0.046472545713186264,
-0.1120... |
boomerang | 3 | [
-0.08137746900320053,
-0.12552984058856964,
0.19949154555797577,
-0.14795489609241486,
0.2387544959783554,
0.1570236086845398,
0.03143775090575218,
0.08930400758981705,
-0.04972017556428909,
-0.05012233927845955,
0.15436960756778717,
0.0627971664071083,
-0.06216701492667198,
-0.14999954402... |
hookshot | 4 | [
-0.1079828143119812,
-0.06499416381120682,
0.04788345843553543,
-0.18127387762069702,
0.10223667323589325,
0.10960779339075089,
0.01416042447090149,
-0.009279000572860241,
-0.029626023024320602,
0.08225708454847336,
-0.05220208689570427,
-0.1443280428647995,
0.2359195351600647,
0.095713526... |
Dataset Card for minishlab/my-vicinity-repo
This dataset was created using the vicinity library, a lightweight nearest neighbors library with flexible backends.
It contains a vector space with 5 items.
Usage
You can load this dataset using the following code:
from vicinity import Vicinity
vicinity = Vicinity.load_from_hub("minishlab/my-vicinity-repo")
After loading the dataset, you can use the vicinity.query method to find the nearest neighbors to a vector.
Configuration
The configuration of the dataset is stored in the config.json file. The vector backend is stored in the backend folder.
{
"metadata": {
"model": "minishlab/potion-base-8M"
},
"backend_type": "basic"
}
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