weaviate-demo-datasets 0.0.1

Unofficial demo datasets for Weaviate

Weaviate demo data uploader

This aims to make it easy to upload demo data to your instance of Weaviate for learning how to use it.

Usage

All datasets are based on Dataset superclass, and includes a number of built-in methods to make it easier to work with it.

Once you instantiate a dataset, to upload it to Weaviate the syntax is as follows:

import wv_datasets
dataset = wv_datasets.JeopardyQuestions()
dataset.add_to_schema(client)
dataset.upload_objects(client, batch_size=100)

Where client is the instantiated weaviate.Client object.

Built-in methods

• .see_class_definitions(): See the schema definition to be added
• .classes_in_schema(): Check whether each class is already in the Weaviate schema
• .get_class_names(): Get class names in the dataset

Available classes

• WikiArticles
• WineReviews
• JeopardyQuestions