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1
141k
embedding
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28,588
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118,799
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123,970
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88,208
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Multi-Vector HNSW Benchmark Datasets

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 Stack Exchange. Each dataset consists of three files:

  • train.json: The data used to build the index.
  • test.json: The query data used for searching the index.
  • neighbours.json: The ground truth, containing the actual k=100 nearest neighbors for each item in test.json.
# Dataset Q&A Community Num Vectors Dimensions Train Size Test Size
1 se_cs_768 Computer Science 3 768 36,712 4,080
2 se_ds_768 Data Science 3 768 26,055 2,895
3 se_p_768 Political Science 3 768 11,174 1,242
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