datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
hackernews-vector-search-datasetThe Hacker News dataset contains 28.74 million postings and their vector embeddings. The embeddings were generated using SentenceTransformers model all-MiniLM-L6-v2. The dimension of each embedding vector is 384.
Created by clickhouse more info: https://clickhouse.com/docs/getting-started/example-datasets/hackernews-vector-search-dataset
ai-residency-vector-search-retrieval-datamulti-vector-search-datasets
Multi-Vector Search Datasets
The datasets listed below are used in the Multi-Vector HNSW project for testing and benchmarking multi-vector approximate nearest neighbor search algorithms and their implementations.
Stack Exchange Datasets
Source: habedi/stack-exchange-dataset
Each row contains:
id: unique post ID
title: the post title
body: the main body content (with HTML tags removed)
tags: associated tags
embedding: a list of three 768-dimensional vectors for [title… See the full description on the dataset page: https://huggingface.co/datasets/habedi/multi-vector-search-datasets.car-search-vector-dbturkish-medical-vector-search
🩺 Türkçe Tıbbi Vektör Arama Projesi
Bu projede Türkçe tıbbi makaleler üzerinde çalışan basit bir semantik arama sistemi geliştirdim. Temel amaç, kullanıcı bir soru sorduğunda bu soruyla en alakalı makale parçalarını bulabilmek.
Burada özellikle dikkat ettiğim noktalardan biri, sistemin elinde yeterli bilgi yokken cevap üretmeye çalışmamasıydı. Bu nedenle benzerlik skoru belirli bir seviyenin altında kaldığında sistem cevap vermek yerine:
Bu sorunun cevabı dokümanlarımda yer… See the full description on the dataset page: https://huggingface.co/datasets/berkcangumusisik/turkish-medical-vector-search.autonomous-db-internals-vector-search-suite
⚡ Autonomous Database Internals, Vector Search Engines & Distributed Storage Suite (2026)
A Production-Grade, Verifiable Synthetic Corpus for Training Autonomous Database Kernel & Vector Retrieval LLMs
💼 Get Full 12,500-Row Enterprise Suite on Gumroad →
Full 10,000 SFT + 2,500 DPO Rows • 254.6 MB Pre-Indexed SQLite DB • RLVR/GRPO Sandboxed Testbed • Commercial License
⚡ Overview & Industry Problem
Deploying autonomous AI… See the full description on the dataset page: https://huggingface.co/datasets/beatsprom/autonomous-db-internals-vector-search-suite.ride-hailing-vector-searchenterprise-rag-vector-search-2026
⚡ Enterprise RAG, GraphRAG & Vector Search Infrastructure Dataset (2023–2026)
Sample dataset of 30 audit-verified research papers with 384d PyTorch embeddings.
🛒 Full 1,000 Paper B2B Dataset Available on Gumroad
Get the complete 3-year dataset (1,000 papers + GitHub Deep Audit + SQLite/CSV/Parquet + Quickstart Script) on Gumroad:
👉 Get Full 1,000 Dataset on Gumroad ($19 / $39 / $89)
idfu-vector-search-specialty
IDFU Vector Search Specialty Pack — $9 Trial Pack
Single-domain Python failure dataset focused on Vector_Search_Internals_and_Product_Quantization_Algorithms,
designed as a low-cost entry point to the IDFU Code Failure Dataset family.
Full pack size
82 samples
Price
$9 USD
Free preview in this repo
10 samples (data_sample.jsonl)
Buyer profile
RAG / search engineer
Type
Trial / starter pack (single-domain focus)
For broader 19-domain coverage
See main releases… See the full description on the dataset page: https://huggingface.co/datasets/namakoo/idfu-vector-search-specialty.article-01-semantic-vector-search
Semantic Vector Search doesn't phone home. It doesn't need to.
Semantic Vector Search: Foundations and Application to File Retrieval Systems
The Problem
Vector search represents a paradigm shift in information retrieval, moving beyond keyword matching to semantic understanding through dense embedding representations. This document presents a comprehensive examination of semantic vector search as the foundational technology powering the Kamelot file system.… See the full description on the dataset page: https://huggingface.co/datasets/kleinnner/article-01-semantic-vector-search.article-01-semantic-vector-search
Semantic Vector Search doesn't phone home. It doesn't need to.
Semantic Vector Search: Foundations and Application to File Retrieval Systems
The Problem
Vector search represents a paradigm shift in information retrieval, moving beyond keyword matching to semantic understanding through dense embedding representations. This document presents a comprehensive examination of semantic vector search as the foundational technology powering the Kamelot file system.… See the full description on the dataset page: https://huggingface.co/datasets/Anticloud/article-01-semantic-vector-search.