File size: 1,154 Bytes
07474bc 400732e 076a60c 07474bc 400732e 9b27b2d 8e1f9c0 9b27b2d 400732e |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 |
---
tags:
- vicinity
- vector-store
dataset_info:
features:
- name: name
dtype: string
- name: id
dtype: int64
- name: vectors
sequence: float64
splits:
- name: train
num_bytes: 10370
num_examples: 5
download_size: 11486
dataset_size: 10370
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for minishlab/my-vicinity-repo
This dataset was created using the [vicinity](https://github.com/MinishLab/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:
```python
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.
```bash
{
"metadata": {
"model": "minishlab/potion-base-8M"
},
"backend_type": "basic"
}
``` |