Clustering on MTEB Clustering v1 (test)

58.14TNGtext-embedding-ada-002

Evaluation results

Method
text-embedding-ada-0022025.05	58.14	36.88	38.03	36.53	32.7	31.27	67.96	43.07
AngIE2025.05	51.72	36.72	39.38	37.23	33.22	31.18	65.35	42.11
ModernBERTemb2025.05	51.26	34.73	39.47	34.67	34.4	31.63	64.68	41.55
SBERTnew2025.05	47.47	33.13	36.99	33.21	34.25	32.24	54.8	38.87
LDIR (with SBERTnew)2025.05	40.43	37.86	38.07	33.32	37.63	35.63	52.54	39.36
CQG-MBQA2025.05	40	28.22	34.88	31.13	31.02	28.71	54.4	35.48
LDIR (with AngIE)2025.05	37.63	38.82	34.82	33.05	34.79	33.63	57.92	38.67
LDIR (with AngIE)2025.05	36.93	40.6	34.27	31.61	33.62	32.84	58.88	38.39
QAEmb-MBQA2025.05	36.72	25.68	24.66	21.16	25.53	22.85	46.57	29.02
LDIR (with SBERTnew)2025.05	36.72	39.44	35.81	30.81	36.2	33.98	52.6	37.94
SimCSEsup2025.05	34.86	29.45	30.15	24.67	26.25	24.12	47.74	31.03
LLM2Vec2025.05	32.02	36.36	38.39	31.31	31.47	27.87	61.67	37.01
LDIR (with ModernBERTemb)2025.05	30.18	37.36	28.4	23.53	32.42	29.27	52.77	33.42
LDIR (with ModernBERTemb)2025.05	29.72	37.03	25.93	21.06	31.12	27.65	52.65	32.17
GloVe2025.05	25.83	28.51	29.27	19.18	26.12	20.38	35.82	26.44
BERTbase2025.05	23.35	26.55	30.12	24.77	26.09	23.6	43.32	28.26
SimCSEunsup2025.05	23.21	28.5	24.9	19.55	23.6	21.97	45.14	26.7
Bag-of-Words (with BERT vocabulary)2025.05	8.52	17.64	4.7	3.32	11.39	13.05	15.67	10.61