mair-floating-point-vs-quantized-benchmarks / ndcg_vector_quantized.csv
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Dataset,Category,Dataset Size,Moorcheh - Vector (Quantized),Elasticsearch - Vector (Quantized),Pinecone with Cohere - Vector (Quantized),PGVector - Vector (Quantized),Qdrant - Vector (Quantized)
AILA2019-Statutes,Legal & Regulatory,197,0.2283029778,0.2198,0.2128444338,0.22986672811644,0.223707
Apple,API Documentation,678,0.6424835047,0.64897,0.6353,0.645060824343047,0.640306
AILA2019-Case,Legal & Regulatory,2914,0.137408381,0.13892,0.1071999597,0.141280497684224,0.140458
LeCaRDv2,Legal & Regulatory,3000,0.6617305975,0.657,0.5377132938,0.661937446201755,0.657162
NFCorpus,Medical & Clinical,3633,0.3611070812,0.3595,0.3654325801,0.361257911886228,0.35498
REGIR-UK2EU,Legal & Regulatory,3930,0.5783631138,0.5793,0.5843,0.588652067927281,0.580402
HC3Finance,Financial,3933,0.4005577889,0.39112,0.380769695,0.400777367865692,0.384289
ConvFinQA,Financial,6503,0.7429922115,0.75093,0.7861633693,0.757565622955981,0.754182
REGIR-EU2UK,Legal & Regulatory,10000,0.6214562587,0.62068,0.5572,0.621975932485641,0.622248
FinQA,Financial,11865,0.6832087105,0.6733,0.7560556727,0.671824523976561,0.677121
FinanceBench,Financial,15325,0.5781970865,0.5751,0.5142,0.585164745445182,0.545155
LegalQuAD,Legal & Regulatory,17702,0.667328757,0.6778,0.6478,0.668642981167565,0.676531
ACORDAR,Legal & Regulatory,31589,0.3084825269,0.3137,0.3139,0.278278006712756,0.280378
FiQA,Financial,57638,0.5398737057,0.5362,0.5325,0.53439691133229,0.541937