TSRBench

TimeSeries Retrieval Benchmark

Showcase

Published benchmark views for UCR-R and CU-RCA, including leaderboard, latency-efficiency trade-off, and AdaBase scorecard.

UCR-R

33 Methods · 30 Metrics

Open benchmark with full ranking metrics and AdaBase suite.

CU-RCA

33 Methods · 3 Metrics

Industrial benchmark focused on RCA-Hit@1/3/5.

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Task

query-pool + multitarget

TSR evaluates retrieval when multiple relevant targets exist.

Method coverage

Lp distance / Elastic alignment / Correlation / Symbolic / Self supervised / Foundation model

Classical and modern methods are compared under one protocol.

Metrics

Hit/MAP/NDCG + AdaBase + RCA-Hit

Open and industrial reporting coexist in one benchmark site.

TSRBench pipeline

Data, model, and evaluation are organized as one benchmark workflow.

Dataset comparison

UCR-R and CU-RCA demonstrate the open to industrial domain shift.

AdaBase scorecard

AdaBase emphasizes list-wise ranking quality through hardness-aware discount schedules.


1	Sundial_l2	Foundation model	0.9783	0.9891	0.9891	0.9783	0.9783	0.0263	0.9783	0.9783	0.9638	0.0780	0.9661	0.9729	0.9543	0.1291	0.9590	0.9658	0.9304	0.2449	0.9426	0.8900	0.9610	0.9426	0.9658	0.9610	0.9376	0.9166	0.8967	0.9190	0.8817	158.03
2	Sundial_cos	Foundation model	0.9783	0.9891	0.9891	0.9783	0.9783	0.0263	0.9783	0.9801	0.9565	0.0776	0.9610	0.9717	0.9522	0.1289	0.9569	0.9651	0.9261	0.2447	0.9388	0.8885	0.9608	0.9388	0.9651	0.9608	0.9359	0.9152	0.8948	0.9168	0.8801	158.06
3	ERP	Elastic alignment	0.9783	1.0000	1.0000	0.9783	0.9783	0.0262	0.9783	0.9873	0.9855	0.0790	0.9840	0.9862	0.9652	0.1294	0.9704	0.9777	0.9413	0.2487	0.9533	0.8283	0.9398	0.9533	0.9777	0.9398	0.9227	0.8777	0.8489	0.9014	0.8241	207.99
4	TimeMoE_l2	Foundation model	0.9783	0.9891	0.9891	0.9783	0.9783	0.0262	0.9783	0.9810	0.9529	0.0769	0.9584	0.9739	0.9391	0.1266	0.9474	0.9667	0.9076	0.2368	0.9246	0.8084	0.9319	0.9246	0.9667	0.9319	0.9027	0.8621	0.8272	0.8772	0.7987	273.86
5	TimeMoE_cos	Foundation model	0.9783	0.9783	0.9783	0.9783	0.9783	0.0262	0.9783	0.9764	0.9420	0.0761	0.9501	0.9709	0.9304	0.1253	0.9397	0.9595	0.9087	0.2369	0.9234	0.8023	0.9271	0.9234	0.9595	0.9271	0.8986	0.8653	0.8228	0.8747	0.7975	273.83
6	TS2Vec_cos	Self-supervised	0.9783	0.9891	0.9891	0.9783	0.9783	0.0263	0.9783	0.9828	0.9710	0.0782	0.9732	0.9784	0.9652	0.1298	0.9685	0.9706	0.9293	0.2469	0.9441	0.7744	0.9257	0.9441	0.9706	0.9257	0.9009	0.8372	0.8018	0.8731	0.7619	267.35
7	Chronos2_cos	Foundation model	0.9783	1.0000	1.0000	0.9783	0.9783	0.0262	0.9783	0.9855	0.9638	0.0776	0.9667	0.9847	0.9435	0.1242	0.9520	0.9676	0.9011	0.2279	0.9217	0.7745	0.9226	0.9217	0.9676	0.9226	0.8944	0.8507	0.8009	0.8643	0.7654	229.14
8	TS2Vec_l2	Self-supervised	0.9783	1.0000	1.0000	0.9783	0.9783	0.0263	0.9783	0.9900	0.9565	0.0762	0.9630	0.9834	0.9457	0.1247	0.9534	0.9721	0.9054	0.2306	0.9241	0.7398	0.9112	0.9241	0.9721	0.9112	0.8820	0.8087	0.7704	0.8476	0.7266	267.31
9	Chronos2_l2	Foundation model	0.9783	1.0000	1.0000	0.9783	0.9783	0.0262	0.9783	0.9855	0.9638	0.0775	0.9674	0.9802	0.9543	0.1255	0.9601	0.9713	0.8935	0.2239	0.9175	0.7364	0.9098	0.9175	0.9713	0.9098	0.8815	0.8230	0.7705	0.8493	0.7260	229.09
10	m-DTW	Elastic alignment	0.9348	0.9457	0.9565	0.9348	0.9348	0.0249	0.9348	0.9384	0.9022	0.0726	0.9092	0.9402	0.8826	0.1196	0.8942	0.9214	0.8402	0.2256	0.8631	0.7143	0.8851	0.8631	0.9214	0.8851	0.8296	0.7664	0.7349	0.7969	0.6942	7.85
11	DISSIM	Lp distance	0.9348	0.9565	0.9565	0.9348	0.9348	0.0252	0.9348	0.9438	0.9130	0.0742	0.9181	0.9403	0.8935	0.1213	0.9036	0.9279	0.8315	0.2270	0.8587	0.7087	0.8809	0.8587	0.9279	0.8809	0.8301	0.7949	0.7315	0.7977	0.6925	27.36
12	CoST_cos	Self-supervised	0.9348	0.9674	0.9783	0.9348	0.9348	0.0252	0.9348	0.9466	0.8949	0.0706	0.9047	0.9378	0.8783	0.1146	0.8905	0.9178	0.8043	0.2002	0.8357	0.6793	0.8777	0.8357	0.9178	0.8777	0.8178	0.7800	0.7026	0.7704	0.6568	43.86
13	SBD	Correlation	0.8804	0.8913	0.9239	0.8804	0.8804	0.0220	0.8804	0.8841	0.8623	0.0640	0.8663	0.8897	0.8565	0.1051	0.8612	0.8757	0.8174	0.1964	0.8330	0.7069	0.8735	0.8330	0.8757	0.8735	0.8097	0.8062	0.7252	0.7783	0.6922	0.37
14	EDR	Elastic alignment	0.9239	0.9348	0.9348	0.9239	0.9239	0.0249	0.9239	0.9266	0.8768	0.0699	0.8861	0.9260	0.8630	0.1150	0.8740	0.9112	0.8359	0.2209	0.8531	0.7033	0.8696	0.8531	0.9112	0.8696	0.8166	0.7480	0.7287	0.7930	0.6925	457.67
15	CoST_l2	Self-supervised	0.9239	0.9783	0.9783	0.9239	0.9239	0.0242	0.9239	0.9447	0.8732	0.0687	0.8835	0.9392	0.8391	0.1084	0.8573	0.9148	0.7978	0.2061	0.8236	0.6665	0.8648	0.8236	0.9148	0.8648	0.7995	0.7564	0.6859	0.7515	0.6404	43.81
16	TimesFM_cos	Foundation model	0.9348	0.9891	1.0000	0.9348	0.9348	0.0252	0.9348	0.9565	0.9167	0.0732	0.9207	0.9494	0.8978	0.1179	0.9067	0.9304	0.8446	0.2135	0.8675	0.6374	0.8612	0.8675	0.9304	0.8612	0.8177	0.7382	0.6796	0.7753	0.6213	346.04
17	Timer_cos	Foundation model	0.9130	0.9565	0.9565	0.9130	0.9130	0.0248	0.9130	0.9321	0.8913	0.0726	0.8971	0.9277	0.8609	0.1159	0.8744	0.9073	0.8141	0.2084	0.8387	0.6130	0.8465	0.8387	0.9073	0.8465	0.7908	0.7449	0.6538	0.7487	0.6026	129.68
18	Timer_l2	Foundation model	0.9130	0.9565	0.9783	0.9130	0.9130	0.0248	0.9130	0.9303	0.8877	0.0725	0.8932	0.9255	0.8630	0.1156	0.8744	0.9122	0.8109	0.2069	0.8360	0.6146	0.8461	0.8360	0.9122	0.8461	0.7907	0.7430	0.6548	0.7477	0.6042	129.66
19	TimesFM_l2	Foundation model	0.9348	0.9783	0.9891	0.9348	0.9348	0.0252	0.9348	0.9538	0.9058	0.0707	0.9117	0.9484	0.8783	0.1120	0.8910	0.9327	0.8217	0.2025	0.8478	0.6018	0.8395	0.8478	0.9327	0.8395	0.7946	0.7071	0.6495	0.7543	0.5916	346.03
20	Pearson	Correlation	0.8587	0.8804	0.9022	0.8587	0.8587	0.0208	0.8587	0.8696	0.8152	0.0566	0.8268	0.8674	0.7935	0.0898	0.8090	0.8559	0.7304	0.1627	0.7603	0.5683	0.8007	0.7603	0.8559	0.8007	0.7246	0.6852	0.6031	0.6875	0.5524	41.85
21	STI	Correlation	0.8478	0.8696	0.8696	0.8478	0.8478	0.0194	0.8478	0.8569	0.8333	0.0558	0.8383	0.8560	0.8043	0.0876	0.8171	0.8481	0.7511	0.1620	0.7765	0.5457	0.7984	0.7765	0.8481	0.7984	0.7253	0.6859	0.5870	0.6887	0.5330	78.22
22	DTW	Elastic alignment	0.7826	0.8152	0.8152	0.7826	0.7826	0.0317	0.7826	0.7980	0.7355	0.0710	0.7519	0.7963	0.7087	0.1064	0.7322	0.7803	0.6554	0.1844	0.6949	0.5206	0.7825	0.6949	0.7803	0.7825	0.6636	0.5869	0.5426	0.6190	0.4886	217.02
23	Chebyshev	Lp distance	0.8152	0.8478	0.8478	0.8152	0.8152	0.0229	0.8152	0.8188	0.7826	0.0648	0.7883	0.8151	0.7304	0.0976	0.7507	0.8103	0.6652	0.1750	0.6993	0.5290	0.7658	0.6993	0.8103	0.7658	0.6679	0.5832	0.5607	0.6388	0.5113	9.54
24	m-ED	Lp distance	0.7283	0.7500	0.7500	0.7283	0.7283	0.0193	0.7283	0.7373	0.6522	0.0508	0.6687	0.7368	0.6043	0.0784	0.6311	0.7304	0.5620	0.1460	0.5923	0.4625	0.7224	0.5923	0.7304	0.7224	0.5757	0.5443	0.4815	0.5450	0.4417	0.36
25	Euclidean	Lp distance	0.7283	0.7391	0.7391	0.7283	0.7283	0.0194	0.7283	0.7337	0.6486	0.0512	0.6668	0.7317	0.6043	0.0792	0.6310	0.7227	0.5652	0.1487	0.5945	0.4589	0.7184	0.5945	0.7227	0.7184	0.5752	0.5362	0.4813	0.5482	0.4411	184.11
26	SFA	Symbolic	0.7500	0.7826	0.8043	0.7500	0.7500	0.0184	0.7500	0.7663	0.6377	0.0457	0.6623	0.7714	0.5891	0.0685	0.6219	0.7517	0.5304	0.1213	0.5702	0.3745	0.6858	0.5702	0.7517	0.6858	0.5381	0.4861	0.4086	0.5012	0.3467	2.54
27	TabPFN_cos	Foundation model	0.7174	0.7391	0.7717	0.7174	0.7174	0.0148	0.7174	0.7246	0.6486	0.0399	0.6636	0.7223	0.6130	0.0628	0.6347	0.7078	0.5717	0.1140	0.5992	0.3978	0.6833	0.5992	0.7078	0.6833	0.5573	0.5409	0.4324	0.5231	0.3835	43.81
28	1DSAX	Symbolic	0.5109	0.5870	0.6304	0.5109	0.5109	0.0120	0.5109	0.5399	0.4819	0.0323	0.4878	0.5477	0.4652	0.0524	0.4748	0.5546	0.4239	0.0915	0.4428	0.3622	0.6732	0.4428	0.5546	0.6732	0.4560	0.5142	0.3600	0.3877	0.3109	1.01
29	sax	Symbolic	0.3043	0.5000	0.5761	0.3043	0.3043	0.0083	0.3043	0.3995	0.3623	0.0293	0.3505	0.4208	0.3587	0.0468	0.3518	0.4370	0.3565	0.0873	0.3529	0.3228	0.6491	0.3529	0.4370	0.6491	0.3779	0.4786	0.2986	0.2818	0.2525	0.57
30	LCSS	Elastic alignment	0.4674	0.5217	0.5435	0.4674	0.4674	0.0154	0.4674	0.4900	0.4239	0.0426	0.4334	0.4884	0.4109	0.0666	0.4221	0.4810	0.3793	0.1208	0.3978	0.3116	0.6434	0.3978	0.4810	0.6434	0.4000	0.4223	0.3135	0.3454	0.2683	420.59
31	STS	Lp distance	0.6196	0.6196	0.6413	0.6196	0.6196	0.0136	0.6196	0.6159	0.5580	0.0360	0.5722	0.6159	0.5217	0.0540	0.5433	0.6155	0.4630	0.0900	0.4949	0.3581	0.6380	0.4949	0.6155	0.6380	0.4759	0.3869	0.3824	0.4503	0.3333	3.13
32	TabPFN_l2	Foundation model	0.6630	0.6630	0.6739	0.6630	0.6630	0.0137	0.6630	0.6612	0.5870	0.0356	0.6041	0.6609	0.5500	0.0545	0.5742	0.6514	0.4902	0.0935	0.5245	0.3350	0.6195	0.5245	0.6514	0.6195	0.4793	0.3733	0.3701	0.4619	0.3211	43.79
33	Manhattan	Lp distance	0.4783	0.4891	0.4891	0.4783	0.4783	0.0117	0.4783	0.4837	0.4094	0.0306	0.4245	0.4817	0.3826	0.0484	0.4016	0.4752	0.3413	0.0852	0.3668	0.2849	0.6028	0.3668	0.4752	0.6028	0.3636	0.3498	0.2897	0.3301	0.2484	0.08

Latency vs Accuracy

Published latency and AB-NDCG are shown together for efficiency quality trade-off analysis.

AdaBase scorecard

Inspect one method's AdaBase profile.

Sundial_l2


1	SFA	Symbolic	0.9838	0.9935	0.9935
2	Pearson	Correlation	0.9709	0.9838	0.9968
3	Chebyshev	Lp distance	0.9159	0.9579	0.9612
4	Euclidean	Lp distance	0.8738	0.9450	0.9903
5	TS2Vec_cos	Self-supervised	0.8285	0.9191	0.9482
6	m-DTW	Elastic alignment	0.7443	0.7864	0.9288
7	m-ED	Lp distance	0.7443	0.7864	0.9288
8	sax	Symbolic	0.7314	0.9871	0.9871
9	Chronos2_cos	Foundation model	0.7217	0.8835	0.9256
10	Chronos2_l2	Foundation model	0.7184	0.8803	0.9256
11	1DSAX	Symbolic	0.6699	0.8026	0.8867
12	DISSIM	Lp distance	0.6634	0.7508	0.8317
13	DTW	Elastic alignment	0.6634	0.7379	0.8188
14	Manhattan	Lp distance	0.6634	0.7379	0.8188
15	ERP	Elastic alignment	0.6602	0.7379	0.8188
16	TS2Vec_l2	Self-supervised	0.6149	0.6699	0.7540
17	Sundial_cos	Foundation model	0.5922	0.7379	0.8350
18	Sundial_l2	Foundation model	0.5922	0.7346	0.8252
19	STI	Correlation	0.5599	0.7282	0.8188
20	STS	Lp distance	0.5599	0.7476	0.8155
21	CoST_l2	Self-supervised	0.5210	0.5987	0.6699
22	Timer_cos	Foundation model	0.5178	0.6861	0.7540
23	Timer_l2	Foundation model	0.5081	0.6926	0.7540
24	CoST_cos	Self-supervised	0.5049	0.5825	0.6472
25	TabPFN_l2	Foundation model	0.4919	0.6602	0.7799
26	TimesFM_cos	Foundation model	0.4747	0.6633	0.7508
27	TimesFM_l2	Foundation model	0.4545	0.6566	0.7374
28	TimeMoE_cos	Foundation model	0.2913	0.4693	0.5663
29	TimeMoE_l2	Foundation model	0.2880	0.4498	0.5696
30	SBD	Correlation	0.2718	0.3722	0.4207
31	EDR	Elastic alignment	0.1489	0.3301	0.4498
32	LCSS	Elastic alignment	0.1392	0.3074	0.4790
33	TabPFN_cos	Foundation model	0.0421	0.1942	0.3981

Showcase

TSRBench pipeline

Dataset comparison

AdaBase scorecard

UCR-R Leaderboard

Latency vs Accuracy

AdaBase scorecard

CU-RCA Leaderboard