This repository contains benchmark datasets used by the Multi-Vector HNSW project.
The datasets are from habedi/multi-vector-search-datasets.
Each record includes a question ID and three distinct 768-dimensional vectors representing the title, body, and tags of the question.
The text embeddings were generated using the all-mpnet-base-v2 text embedding model.
There are three datasets; each includes questions from a separate Q&A community hosted on… See the full description on the dataset page:
https://huggingface.co/datasets/habedi/multi-vector-hnsw-datasets.
