README.md

metadata

tags:
  - vicinity
  - vector-store
dataset_info:
  features:
    - name: name
      dtype: string
    - name: id
      dtype: int64
  splits:
    - name: train
      num_bytes: 110
      num_examples: 5
  download_size: 1170
  dataset_size: 110
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 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": {},
    "backend_type": "basic",
    "model_name_or_path": "local/my-vicinity-repo"
}