Dataset Overview

dataset: gist-960-euclidean

  Metadata

Creation Time: 2025-01-07 11:03:48+0000 Update Time: 2025-01-07 11:04:44+0000 Source: https://github.com/erikbern/ann-benchmarks Task: N/A Train Samples: N/A Test Samples: N/A License: DISCLAIMER AND LICENSE NOTICE:

This dataset is intended for benchmarking and research purposes only. The source data used in this dataset retains its original license and copyright. Users must comply with the respective licenses of… See the full description on the dataset page: https://huggingface.co/datasets/open-vdb/gist-960-euclidean.

Dataset Overview

dataset: glove-100-angular

  Metadata

Creation Time: 2025-01-07 11:21:16+0000 Update Time: 2025-01-07 11:21:31+0000 Source: https://github.com/erikbern/ann-benchmarks Task: N/A Train Samples: N/A Test Samples: N/A License: DISCLAIMER AND LICENSE NOTICE:

This dataset is intended for benchmarking and research purposes only. The source data used in this dataset retains its original license and copyright. Users must comply with the respective licenses of the… See the full description on the dataset page: https://huggingface.co/datasets/open-vdb/glove-100-angular.

PubMed & arXiv Abstract Embeddings for Vector Database Benchmarking

  Dataset Description

This dataset contains pre-computed embeddings of scientific paper abstracts from PubMed and arXiv, designed for evaluating vector database performance. The embeddings are generated using Google's EmbeddingGemma-300M model.

  Purpose

Benchmark dataset for evaluating vector database performance, specifically designed for use with VectorDBBench.

  Dataset Summary

Total… See the full description on the dataset page: https://huggingface.co/datasets/cryptolab-playground/pubmed-arxiv-abstract-embedding-gemma-300m.

Vector data base of the Cadastre section — topograhie of the Directorate of Focal Affairs (DAF) of Polynesia-Française. The vector database covers the following topics: — benchmarks (REF): geodetic, levelling, stereo-preparation, geodetic and projection systems. — Location (LOC): islands, administrative boundaries — Edification (EDI): buildings, surface constructions, linear constructions. — Hydrography (HYD): rivers, hydrographic surfaces, lagoons. — Land use (SOL): natural or exploited vegetated areas. — Orography-Relief (REL): level curves, slopes, side points. — Road network (VOI): roads and edges, road furniture. — Toponymy (NOM): points of interest, oronyms, hydronyms, places mentioned

Dataset Overview

dataset: nytimes-256-angular

  Metadata

Creation Time: 2025-01-07 11:44:42+0000 Update Time: 2025-01-07 11:44:49+0000 Source: https://github.com/erikbern/ann-benchmarks Task: N/A Train Samples: N/A Test Samples: N/A License: DISCLAIMER AND LICENSE NOTICE:

This dataset is intended for benchmarking and research purposes only. The source data used in this dataset retains its original license and copyright. Users must comply with the respective licenses of… See the full description on the dataset page: https://huggingface.co/datasets/open-vdb/nytimes-256-angular.

Bloomberg Financial News Embeddings for Vector Database Benchmarking

  Dataset Description

This dataset contains pre-computed embeddings of Bloomberg financial news articles, designed for evaluating vector database performance. The embeddings are generated using Google's EmbeddingGemma-300M model.

  Purpose

Benchmark dataset for evaluating vector database performance on financial news domain, specifically designed for use with VectorDBBench.

  Dataset Summary… See the full description on the dataset page: https://huggingface.co/datasets/cryptolab-playground/Bloomberg-Financial-News-embedding-gemma-300m.

Dataset Overview

dataset: random-xs-20-angular

  Metadata

Creation Time: 2025-01-07 11:37:47+0000 Update Time: 2025-01-07 11:37:48+0000 Source: https://github.com/erikbern/ann-benchmarks Task: N/A Train Samples: N/A Test Samples: N/A License: DISCLAIMER AND LICENSE NOTICE:

This dataset is intended for benchmarking and research purposes only. The source data used in this dataset retains its original license and copyright. Users must comply with the respective licenses of… See the full description on the dataset page: https://huggingface.co/datasets/open-vdb/random-xs-20-angular.

Clinical diagnostic efficacy comparison of the proposed hybrid model and benchmark machine learning models. Metrics are reported as point estimates with 95% CIs. This table offers a discussion of the measures of high interest in clinical implementation. Sensitivity (true positive rate) reflects the ability to correctly identify patients with CVD, while Specificity (true negative rate) indicates the ability to correctly rule out patients without CVD. The Negative Likelihood Ratio quantifies how much the odds of having the disease decrease with a negative test result, where smaller values indicate stronger diagnostic power. The suggested model has the best balance of the greatest sensitivity and specificity, as well as the least Negative Likelihood Ratio, which highlights its strength and better performance as a diagnostic tool in the clinical practice.

Dataset Overview

dataset: lastfm-64-dot

  Metadata

Creation Time: 2025-01-06 11:09:48+0000 Update Time: 2025-01-07 11:48:10+0000 Source: https://github.com/erikbern/ann-benchmarks Task: N/A Train Samples: N/A Test Samples: N/A License: DISCLAIMER AND LICENSE NOTICE:

This dataset is intended for benchmarking and research purposes only. The source data used in this dataset retains its original license and copyright. Users must comply with the respective licenses of the… See the full description on the dataset page: https://huggingface.co/datasets/open-vdb/lastfm-64-dot.

Dataset Overview

dataset: fashion-mnist-784-euclidean

  Metadata

Creation Time: 2025-01-07 11:02:55+0000 Update Time: 2025-01-07 11:03:01+0000 Source: https://github.com/erikbern/ann-benchmarks Task: N/A Train Samples: N/A Test Samples: N/A License: DISCLAIMER AND LICENSE NOTICE:

This dataset is intended for benchmarking and research purposes only. The source data used in this dataset retains its original license and copyright. Users must comply with the respective… See the full description on the dataset page: https://huggingface.co/datasets/open-vdb/fashion-mnist-784-euclidean.

Dataset Overview

dataset: nytimes-16-angular

  Metadata

Creation Time: 2025-01-07 11:46:28+0000 Update Time: 2025-01-07 11:46:31+0000 Source: https://github.com/erikbern/ann-benchmarks Task: N/A Train Samples: N/A Test Samples: N/A License: DISCLAIMER AND LICENSE NOTICE:

This dataset is intended for benchmarking and research purposes only. The source data used in this dataset retains its original license and copyright. Users must comply with the respective licenses of… See the full description on the dataset page: https://huggingface.co/datasets/open-vdb/nytimes-16-angular.

Dataset Overview

dataset: glove-25-angular

  Metadata

Creation Time: 2025-01-07 11:05:52+0000 Update Time: 2025-01-07 11:06:02+0000 Source: https://github.com/erikbern/ann-benchmarks Task: N/A Train Samples: N/A Test Samples: N/A License: DISCLAIMER AND LICENSE NOTICE:

This dataset is intended for benchmarking and research purposes only. The source data used in this dataset retains its original license and copyright. Users must comply with the respective licenses of the… See the full description on the dataset page: https://huggingface.co/datasets/open-vdb/glove-25-angular.

GAS Indexing Artifacts

  Dataset Description

This dataset contains pre-computed deterministic centroids and associated geometric metadata generated using our GAS (Geometry-Aware Selection) algorithm. These artifacts are designed to benchmark Approximate Nearest Neighbor (ANN) search performance in privacy-preserving or dynamic vector database environments.

  Purpose

To serve as a standardized benchmark resource for evaluating the efficiency and recall of vector… See the full description on the dataset page: https://huggingface.co/datasets/cryptolab-playground/gas-centroids.