Datasets:
Search is not available for this dataset
id int64 1 141k | embedding listlengths 3 3 |
|---|---|
28,588 | [
[
-0.016893789172172,
-0.059057820588350005,
-0.026854377239942002,
0.009227763861417,
0.011772152036428,
-0.021094014868140002,
0.00027107589994500005,
0.029671981930732002,
-0.037275705486536005,
-0.023345131427049002,
-0.013277587480843001,
0.023223912343382003,
... |
42,503 | [
[
0.047042571008205004,
0.038204908370971,
0.002923990134149,
0.054185938090085005,
-0.035461865365505,
-0.018587216734886003,
-0.006892428267747001,
0.002018559956923,
-0.041975658386945,
-0.030947867780923004,
0.013661044649779,
0.024672599509358004,
0.031901374... |
35,794 | [
[
0.026188803836703002,
0.032718732953071004,
-0.019085407257080002,
-0.010520474053919001,
-0.008816865272819,
0.0048407712019970005,
0.007410379126667001,
0.020269654691219,
-0.03141014650464,
-0.003589391941204,
0.049311764538288005,
-0.04895453155040701,
0.038... |
44,471 | [
[
0.030110502615571,
0.022358605638146,
0.029205039143562,
0.013317788019776,
0.013349351473152,
-0.013763548806309001,
-0.08707792311906801,
0.0063230502419170005,
-0.056843526661396006,
-0.02187000401318,
0.019582690671086003,
0.028029121458530003,
0.01020985282... |
68,069 | [[-0.019789731130003003,0.08324343711137701,-0.007563528139144001,-0.056953467428684006,-0.017225366(...TRUNCATED) |
76,171 | [[-0.045067347586154,0.07673614472150801,-0.020082108676433,-0.057223502546548004,-0.022820375859737(...TRUNCATED) |
96,372 | [[0.008949406445026,-0.041063640266656,-0.003371767932549,0.05105360597372,0.00036239338805800004,0.(...TRUNCATED) |
118,799 | [[-0.029266890138387004,-0.043971296399831,-0.056582968682050004,0.03518982976675,-0.017646687105298(...TRUNCATED) |
123,970 | [[0.041501063853502,0.044090855866670005,0.016985109075903,0.017458699643611002,0.017483409494161002(...TRUNCATED) |
88,208 | [[0.000955708848778,-0.055587887763977,-0.019864017143845003,-0.029586192220449004,-0.02606970258057(...TRUNCATED) |
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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 actualk=100nearest neighbors for each item intest.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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