Leaderboard

Official SemEval 2025 task 10 Test Leaderboards

Post SemEval Leaderboards on the Test set (open)

English - Subtask 1

Rank	Team	Exact Match Ratio	micro P	micro R	micro F1	Accuracy for main role
1	DUTIR	0.41280	0.48100	0.43020	0.45420	0.94890
2	PinganTeam	0.40430	0.49410	0.47550	0.48460	0.90210
3	slowders	0.39150	0.45530	0.40380	0.42800	0.90210
4	PATeam	0.38300	0.46150	0.43020	0.44530	0.88940
4	PAteam	0.38300	0.46150	0.43020	0.44530	0.88940
4	PingAnAI	0.38300	0.46150	0.43020	0.44530	0.88940
4	PingAnTeam	0.38300	0.46150	0.43020	0.44530	0.88940
4	pateam	0.38300	0.46150	0.43020	0.44530	0.88940
5	DEMON	0.37450	0.44870	0.39620	0.42080	0.91910
6	gowithnlp	0.37020	0.44260	0.39250	0.41600	0.93620
7	TartanTritons	0.35740	0.11440	0.10190	0.10780	0.72340
8	Fane	0.35320	0.40850	0.36230	0.38400	0.91490
9	NlpUned	0.32770	0.37870	0.33580	0.35600	0.09790
9	QUST	0.32770	0.39040	0.36980	0.37980	0.92340
10	LATeIIMAS	0.31060	0.36710	0.32830	0.34660	0.83830
11	clujteam	0.28940	0.34470	0.30570	0.32400	0.86380
12	m1nadzuki	0.25960	0.31490	0.27920	0.29600	0.87660
13	LTG	0.25530	0.07490	0.07550	0.07520	0.58300
14	BERTastic	0.25110	0.31490	0.27920	0.29600	0.86380
14	adithjrajeev	0.25110	0.32140	0.30570	0.31330	0.86810
15	Cimba	0.22550	0.27850	0.24910	0.26290	0.83830
16	Mekky	0.21700	0.29480	0.27920	0.28680	0.80000
17	NarrativeMiners	0.21280	0.26810	0.23770	0.25200	0.68940
17	YNUzwt	0.21280	0.26380	0.23400	0.24800	0.77450
18	FromProblemImportSolve	0.20430	0.29030	0.30570	0.29780	0.77450
19	YNUHPCC	0.19150	0.20850	0.18490	0.19600	0.82550
20	NarrativeNexus	0.18300	0.20850	0.18490	0.19600	0.71910
21	Rosetta	0.17870	0.22920	0.21890	0.22390	0.60430
22	Dhananjaya	0.17450	0.22880	0.20380	0.21560	0.81280
23	Tuebingen	0.17020	0.26340	0.26040	0.26190	0.75740
24	Chrissy	0.14890	0.18720	0.16600	0.17600	0.83400
25	UMZNLP	0.14040	0.21430	0.23770	0.22540	0.70640
26	north	0.08510	0.25870	0.42260	0.32090	0.94890
27	HowardUniversityAI4PC	0.08090	0.08320	0.17740	0.11330	0.69360
28	kzeky	0.06810	0.08090	0.07170	0.07600	0.56600
29	bumblebeeTransformer	0.06380	0.13640	0.16980	0.15130	0.78300
29	eevvgg	0.06380	0.10550	0.17360	0.13120	0.78720
30	Baseline	0.03830	0.04680	0.04150	0.04400	0.28510
31	Team12	0.02130	0.07670	0.09810	0.08610	0.72340
32	cocoa	0.01700	0.08750	0.12450	0.10280	0.82550
33	SemanticaInnovators	0.01280	0.04680	0.16600	0.07300	0.25110
34	TechDacians	0.00000	1.00000	0.00000	0.00000	0.09790
34	teamninebonn	0.00000	0.03260	0.08680	0.04740	0.17870

English - Subtask 2

Rank	Team	F1 macro coarse	F1 st. dev. coarse	F1 samples	F1 st. dev. samples
1	GATENLP	0.62700	0.35200	0.46300	0.34700
2	INSALyon2	0.54700	0.36900	0.43300	0.33300
3	COGNAC	0.55400	0.40000	0.42600	0.39100
4	NarrativesHunter	0.50900	0.39500	0.40000	0.40200
5	23	0.49300	0.39200	0.37700	0.38400
6	iLostTheCode	0.49800	0.36300	0.37300	0.37300
7	KostasThesis2025	0.55600	0.39600	0.36200	0.37000
8	NCLteam	0.48600	0.36300	0.34500	0.36000
9	NarrativesHunter2	0.48800	0.38400	0.34400	0.36700
9	Narrlangen	0.44400	0.41100	0.34400	0.38600
10	PATeam	0.52100	0.35600	0.33900	0.29100
10	PAteam	0.52100	0.35600	0.33900	0.29100
10	PingAnAI	0.52100	0.35600	0.33900	0.29100
10	PingAnTeam	0.52100	0.35600	0.33900	0.29100
10	PinganTeam	0.52100	0.35600	0.33900	0.29100
10	pateam	0.52100	0.35600	0.33900	0.29100
11	UNEDTeam	0.46700	0.36300	0.32700	0.34600
12	YNUzwt	0.48500	0.37800	0.32100	0.33200
13	Narrengers	0.45700	0.36300	0.31800	0.31800
14	CtrlAltElite	0.47400	0.42200	0.31100	0.44600
15	NotMyNarrative	0.40300	0.41400	0.29800	0.39300
16	GeorgeSnape	0.28700	0.45200	0.28700	0.45200
16	IRNLP	0.51600	0.40200	0.28700	0.45200
17	INSAntive	0.32900	0.41200	0.25900	0.38900
18	NLPPraktikumWS2025	0.44800	0.38500	0.25800	0.33700
19	NarrativeMiners	0.36900	0.42400	0.23800	0.42600
20	nlptuducd	0.33800	0.36400	0.22600	0.31700
21	ammd7	0.29400	0.35500	0.22200	0.34300
22	UniBonn187	0.40900	0.33000	0.20600	0.22400
23	Irapuarani	0.33500	0.20100	0.18800	0.14100
24	DUTtask10	0.31000	0.40500	0.16500	0.36800
25	LATeIIMAS	0.22200	0.33400	0.16300	0.32300
26	GrammarPolice	0.16800	0.25800	0.06300	0.12400
27	Baseline	0.03000	0.12700	0.01300	0.07000
28	AlAnood	0.00000	0.00000	0.00000	0.00000
28	NarrativeNexus	0.00000	0.00000	0.00000	0.00000
28	bbStar	0.00000	0.00000	0.00000	0.00000

English - Subtask 3

Rank	Team	Precision	Recall	F1 macro
1	GPLSICORTEX	0.76754	0.73464	0.75040
2	KyuHyunChoi	0.76686	0.73517	0.75040
3	AITeam	0.74850	0.75229	0.75004
4	TechSSN	0.75417	0.74174	0.74767
5	pateam	0.74821	0.74742	0.74754
6	PingAnAI	0.74930	0.74283	0.74568
7	WordWiz	0.75464	0.73705	0.74551
8	PingAnTeam	0.73870	0.74376	0.74084
9	PinganTeam	0.73410	0.74832	0.74076
10	NarrativeNexus	0.71991	0.74267	0.73085
11	NarrativeMiners	0.71139	0.74827	0.72910
12	clujteam	0.72350	0.72647	0.72464
13	PAteam	0.72371	0.72589	0.72433
14	Dhananjaya	0.70700	0.72788	0.71689
15	TartanTritons	0.72396	0.70200	0.71245
16	YNUzwt	0.69707	0.70112	0.69885
17	LATeIIMAS	0.70540	0.68674	0.69558
18	bbStar	0.66436	0.72023	0.69103
19	Synapse	0.65986	0.69175	0.67527
20	Baseline	0.65144	0.68344	0.66690
21	DUTtask10	0.00000	0.00000	0.00000
21	Mendel292A	0.00000	0.00000	0.00000
21	UMZNLP	0.00000	0.00000	0.00000
21	ftd	0.00000	0.00000	0.00000

Portuguese - Subtask 1

Rank	Team	Exact Match Ratio	micro P	micro R	micro F1	Accuracy for main role
1	DUTIR	0.59260	0.64950	0.62540	0.63720	0.94610
2	PingAnTeam	0.50510	0.56410	0.54490	0.55430	0.91250
3	PingAnAI	0.49490	0.55130	0.53250	0.54170	0.90570
4	PATeam	0.49160	0.55370	0.52630	0.53970	0.90570
4	PinganTeam	0.49160	0.55310	0.53250	0.54260	0.90240
4	pateam	0.49160	0.54950	0.53250	0.54090	0.90570
5	PAteam	0.48820	0.55020	0.52630	0.53800	0.90240
6	QUST	0.45790	0.50990	0.47680	0.49280	0.84510
7	BERTastic	0.41750	0.47470	0.43650	0.45480	0.84510
8	LTG	0.40740	0.11420	0.11460	0.11440	0.42760
9	DEMON	0.36700	0.43240	0.39630	0.41360	0.80810
10	LATeIIMAS	0.33670	0.38720	0.35600	0.37100	0.71720
11	TartanTritons	0.33330	0.18180	0.16720	0.17420	0.50840
12	gowithnlp	0.26940	0.31650	0.29100	0.30320	0.71380
13	Cimba	0.26260	0.33000	0.30960	0.31950	0.20540
13	FromProblemImportSolve	0.26260	0.32970	0.37150	0.34930	0.65660
14	Fane	0.25590	0.30980	0.28480	0.29680	0.62960
15	Dhananjaya	0.21890	0.26320	0.24770	0.25520	0.76770
16	YNUzwt	0.17510	0.22220	0.20430	0.21290	0.49490
17	HowardUniversityAI4PC	0.13130	0.11320	0.22600	0.15080	0.51850
18	Baseline	0.04710	0.05050	0.04640	0.04840	0.36030
19	teamninebonn	0.00000	0.04040	0.11150	0.05930	0.44110

Portuguese - Subtask 2

Rank	Team	F1 macro coarse	F1 st. dev. coarse	F1 samples	F1 st. dev. samples
1	GATENLP	0.66400	0.26000	0.48000	0.25400
2	INSALyon2	0.67900	0.26300	0.43300	0.20900
3	PATeam	0.54100	0.29000	0.40900	0.26900
3	PAteam	0.54100	0.29000	0.40900	0.26900
3	PingAnAI	0.54100	0.29000	0.40900	0.26900
3	PingAnTeam	0.54100	0.29000	0.40900	0.26900
3	PinganTeam	0.54100	0.29000	0.40900	0.26900
3	pateam	0.54100	0.29000	0.40900	0.26900
4	KostasThesis2025	0.53900	0.21400	0.32900	0.17100
5	iLostTheCode	0.54700	0.22800	0.31900	0.18200
6	23	0.48700	0.33800	0.31300	0.25700
7	Narrlangen	0.48000	0.33900	0.29100	0.25900
8	UNEDTeam	0.53700	0.32400	0.27000	0.26200
9	YNUzwt	0.56800	0.30100	0.26600	0.27700
10	Irapuarani	0.43500	0.19500	0.22500	0.12900
11	INSAntive	0.49100	0.27500	0.21500	0.20400
12	COGNAC	0.34200	0.36200	0.18600	0.26200
13	CtrlAltElite	0.49200	0.31600	0.14900	0.21900
14	NotMyNarrative	0.22800	0.25000	0.12400	0.11100
15	DUTtask10	0.10700	0.24100	0.02600	0.13400
16	Baseline	0.03700	0.14000	0.01400	0.07000

Portuguese - Subtask 3

Rank	Team	Precision	Recall	F1 macro
1	PingAnTeam	0.76861	0.74874	0.75801
2	PinganTeam	0.76097	0.75381	0.75690
3	pateam	0.76003	0.75202	0.75548
4	PingAnAI	0.75403	0.74702	0.75005
5	WordWiz	0.75931	0.73885	0.74857
6	PAteam	0.75365	0.73984	0.74637
7	AITeam	0.74654	0.73767	0.74158
8	bbStar	0.70991	0.72924	0.71926
9	Dhananjaya	0.70979	0.72318	0.71614
10	YNUzwt	0.68986	0.68603	0.68771
11	TartanTritons	0.69764	0.67419	0.68540
12	Baseline	0.67822	0.68297	0.68046
13	LATeIIMAS	0.68395	0.66339	0.67297
14	DUTtask10	0.00000	0.00000	0.00000

Russian - Subtask 1

Rank	Team	Exact Match Ratio	micro P	micro R	micro F1	Accuracy for main role
1	DUTIR	0.56540	0.61750	0.59030	0.60360	0.85510
2	QUST	0.51400	0.56280	0.53300	0.54750	0.83180
3	TartanTritons	0.47200	0.16200	0.15420	0.15800	0.43930
4	BERTastic	0.46730	0.50470	0.47580	0.48980	0.78970
4	DEMON	0.46730	0.51420	0.48020	0.49660	0.81310
5	gowithnlp	0.44860	0.48130	0.45370	0.46710	0.86450
6	PATeam	0.44390	0.49780	0.48900	0.49330	0.78040
6	PAteam	0.44390	0.49780	0.48900	0.49330	0.78040
6	PingAnAI	0.44390	0.50230	0.48900	0.49550	0.80840
6	PingAnTeam	0.44390	0.49780	0.48900	0.49330	0.78040
6	PinganTeam	0.44390	0.49780	0.48900	0.49330	0.78040
6	pateam	0.44390	0.49780	0.48900	0.49330	0.78040
7	LTG	0.42990	0.08620	0.08810	0.08710	0.35980
8	Cimba	0.38320	0.41670	0.39650	0.40630	0.33640
9	FromProblemImportSolve	0.35510	0.43700	0.51980	0.47480	0.75230
10	LATeIIMAS	0.31310	0.36040	0.35240	0.35630	0.64490
11	Dhananjaya	0.29440	0.32560	0.30840	0.31670	0.66360
11	YNUzwt	0.29440	0.32710	0.30840	0.31750	0.59350
12	Fane	0.24300	0.27570	0.25990	0.26760	0.60750
13	HowardUniversityAI4PC	0.12620	0.07590	0.12780	0.09520	0.42520
14	Baseline	0.05140	0.06070	0.05730	0.05900	0.34110

Russian - Subtask 2

Rank	Team	F1 macro coarse	F1 st. dev. coarse	F1 samples	F1 st. dev. samples
1	GATENLP	0.70900	0.27400	0.51800	0.28200
2	iLostTheCode	0.59700	0.27900	0.44000	0.25100
3	PATeam	0.56600	0.26800	0.43400	0.24700
3	PAteam	0.56600	0.26800	0.43400	0.24700
3	PingAnAI	0.56600	0.26800	0.43400	0.24700
3	PingAnTeam	0.56600	0.26800	0.43400	0.24700
3	PinganTeam	0.56600	0.26800	0.43400	0.24700
3	pateam	0.56600	0.26800	0.43400	0.24700
4	INSALyon2	0.58900	0.29300	0.41000	0.24400
5	Narrlangen	0.57400	0.37000	0.40500	0.32400
6	KostasThesis2025	0.57100	0.34400	0.40000	0.28300
7	UNEDTeam	0.51300	0.32500	0.33000	0.27000
8	INSAntive	0.55400	0.32800	0.32300	0.34200
9	UniBonn187	0.55000	0.30300	0.23100	0.17800
10	Irapuarani	0.35900	0.15000	0.19100	0.09200
11	COGNAC	0.24800	0.35500	0.18300	0.30600
12	YNUzwt	0.21300	0.35900	0.14800	0.25700
13	IRNLP	0.53700	0.35100	0.11600	0.25200
14	GrammarPolice	0.00000	0.00000	0.05000	0.21800
15	DUTtask10	0.04000	0.18500	0.03300	0.18000
16	NotMyNarrative	0.12900	0.24600	0.01900	0.12800
17	Baseline	0.06500	0.21300	0.00800	0.06400
18	AlAnood	0.00000	0.00000	0.00000	0.00000
18	LATeIIMAS	0.00000	0.00000	0.00000	0.00000

Russian - Subtask 3

Rank	Team	Precision	Recall	F1 macro
1	PingAnAI	0.72469	0.71512	0.71904
2	PinganTeam	0.71787	0.72144	0.71888
3	PingAnTeam	0.71926	0.70627	0.71205
4	pateam	0.71232	0.71232	0.71166
5	AITeam	0.71354	0.71034	0.71136
6	PAteam	0.69984	0.71423	0.70639
7	WordWiz	0.70193	0.70730	0.70395
8	TartanTritons	0.68271	0.68155	0.68159
9	YNUzwt	0.66621	0.68632	0.67578
10	bbStar	0.63433	0.69813	0.66440
11	DUTtask10	0.65979	0.66845	0.66379
12	Dhananjaya	0.63668	0.69308	0.66324
13	Baseline	0.62206	0.66872	0.64427
14	LATeIIMAS	0.61043	0.67674	0.64161

Bulgarian - Subtask 1

Rank	Team	Exact Match Ratio	micro P	micro R	micro F1	Accuracy for main role
1	PingAnAI	0.53230	0.54760	0.53910	0.54330	0.92740
2	PATeam	0.51610	0.53970	0.53120	0.53540	0.92740
3	DUTIR	0.50810	0.53730	0.56250	0.54960	0.94350
4	pateam	0.48390	0.51180	0.50780	0.50980	0.94350
5	PAteam	0.46770	0.49600	0.48440	0.49010	0.94350
5	PingAnTeam	0.46770	0.48820	0.48440	0.48630	0.94350
5	PinganTeam	0.46770	0.49610	0.49220	0.49410	0.94350
6	DEMON	0.45970	0.47970	0.46090	0.47010	0.88710
7	gowithnlp	0.43550	0.45970	0.44530	0.45240	0.83060
8	TartanTritons	0.41130	0.09680	0.09380	0.09520	0.55650
9	QUST	0.38710	0.39200	0.38280	0.38740	0.84680
10	BERTastic	0.35480	0.37100	0.35940	0.36510	0.87100
11	Fane	0.34680	0.36290	0.35160	0.35710	0.77420
12	LTG	0.31450	0.04930	0.05470	0.05190	0.55650
13	Cimba	0.25810	0.26980	0.26560	0.26770	0.25000
14	FromProblemImportSolve	0.20970	0.28660	0.36720	0.32190	0.80650
15	Dhananjaya	0.19350	0.21090	0.21090	0.21090	0.69350
16	HowardUniversityAI4PC	0.09680	0.07920	0.14840	0.10330	0.51610
17	Baseline	0.04030	0.04030	0.03910	0.03970	0.25810
18	TechDacians	0.00000	1.00000	0.00000	0.00000	0.25000

Bulgarian - Subtask 2

Rank	Team	F1 macro coarse	F1 st. dev. coarse	F1 samples	F1 st. dev. samples
1	PATeam	0.63100	0.33800	0.46000	0.33300
1	PingAnAI	0.63100	0.33800	0.46000	0.33300
1	PingAnTeam	0.63100	0.33800	0.46000	0.33300
1	PinganTeam	0.63100	0.33800	0.46000	0.33300
1	pateam	0.63100	0.33800	0.46000	0.33300
2	PAteam	0.57500	0.32900	0.44200	0.30700
3	GATENLP	0.62900	0.33200	0.41600	0.28600
4	iLostTheCode	0.55800	0.35100	0.39100	0.35200
5	INSALyon2	0.59000	0.31100	0.38100	0.24800
6	UNEDTeam	0.57400	0.35300	0.36300	0.31200
7	KostasThesis2025	0.52300	0.37100	0.35700	0.34900
8	Narrlangen	0.49500	0.40100	0.35500	0.37600
9	INSAntive	0.52300	0.36600	0.32400	0.36000
10	Irapuarani	0.36600	0.17700	0.18300	0.12000
11	NotMyNarrative	0.24900	0.30600	0.14200	0.22800
12	DUTtask10	0.17200	0.34100	0.12100	0.31200
13	LATeIIMAS	0.17700	0.26600	0.07200	0.16900
14	Baseline	0.05600	0.19100	0.02200	0.11900
15	AlAnood	0.00000	0.00000	0.00000	0.00000

Bulgarian - Subtask 3

Rank	Team	Precision	Recall	F1 macro
1	AITeam	0.73485	0.70303	0.71818
2	PinganTeam	0.72676	0.71052	0.71815
3	pateam	0.72369	0.70837	0.71557
4	PingAnTeam	0.72954	0.70028	0.71418
5	PingAnAI	0.71217	0.69934	0.70527
6	PAteam	0.71405	0.69478	0.70396
7	Dhananjaya	0.67695	0.69378	0.68508
8	WordWiz	0.69034	0.67816	0.68390
9	bbStar	0.65751	0.68740	0.67198
10	TartanTritons	0.66758	0.64399	0.65531
11	Baseline	0.62739	0.64180	0.63430
12	LATeIIMAS	0.62947	0.61907	0.62406
13	DUTtask10	0.00000	0.00000	0.00000

Hindi - Subtask 1

Rank	Team	Exact Match Ratio	micro P	micro R	micro F1	Accuracy for main role
1	QUST	0.46840	0.59060	0.49480	0.53850	0.76900
2	TartanTritons	0.44620	0.18940	0.15970	0.17330	0.32910
3	BERTastic	0.43990	0.56560	0.47380	0.51570	0.78480
4	DEMON	0.40190	0.52530	0.43460	0.47560	0.75630
5	LTG	0.36390	0.16580	0.15970	0.16270	0.37660
6	Cimba	0.35440	0.45310	0.37960	0.41310	0.47150
7	gowithnlp	0.33540	0.43990	0.36390	0.39830	0.71520
8	DUTIR	0.29430	0.37660	0.31150	0.34100	0.59810
9	Dhananjaya	0.27850	0.37660	0.31150	0.34100	0.70890
10	LATeIIMAS	0.27220	0.37110	0.40310	0.38640	0.63610
11	PATeam	0.26900	0.35330	0.29320	0.32050	0.69620
11	PAteam	0.26900	0.35330	0.29320	0.32050	0.69620
11	PingAnAI	0.26900	0.35330	0.29320	0.32050	0.69620
11	PinganTeam	0.26900	0.35330	0.29320	0.32050	0.69620
11	pateam	0.26900	0.35330	0.29320	0.32050	0.69620
12	FromProblemImportSolve	0.25630	0.37410	0.39270	0.38310	0.66770
12	PingAnTeam	0.25630	0.32490	0.26960	0.29470	0.67720
13	Fane	0.23420	0.31650	0.26180	0.28650	0.65510
14	HowardUniversityAI4PC	0.16770	0.11460	0.15180	0.13060	0.35440
15	Baseline	0.05700	0.07910	0.06540	0.07160	0.32280

Hindi - Subtask 2

Rank	Team	F1 macro coarse	F1 st. dev. coarse	F1 samples	F1 st. dev. samples
1	DUTtask10	0.56900	0.48400	0.53500	0.49400
2	IRNLP	0.37500	0.46700	0.51500	0.50000
3	INSALyon2	0.51500	0.43300	0.43500	0.42400
4	Narrlangen	0.39500	0.46400	0.38500	0.46500
5	UNEDTeam	0.44900	0.46000	0.37600	0.45600
6	KostasThesis2025	0.45300	0.44100	0.34100	0.45000
7	GATENLP	0.40900	0.41000	0.32100	0.37900
8	INSAntive	0.36500	0.44000	0.26500	0.41400
9	NotMyNarrative	0.31800	0.44900	0.24300	0.40800
10	PATeam	0.39200	0.39000	0.21800	0.35000
10	PAteam	0.39200	0.39000	0.21800	0.35000
10	PingAnAI	0.39200	0.39000	0.21800	0.35000
10	PingAnTeam	0.39200	0.39000	0.21800	0.35000
10	PinganTeam	0.39200	0.39000	0.21800	0.35000
10	pateam	0.39200	0.39000	0.21800	0.35000
11	iLostTheCode	0.22700	0.37800	0.17400	0.33900
12	Irapuarani	0.23400	0.12500	0.11100	0.08200
13	LATeIIMAS	0.09700	0.18500	0.02900	0.10200
14	Baseline	0.08100	0.26000	0.00000	0.00000
15	bbStar	0.00000	0.00000	0.00000	0.00000

Hindi - Subtask 3

Rank	Team	Precision	Recall	F1 macro
1	AITeam	0.75576	0.76231	0.75845
2	pateam	0.75656	0.75959	0.75774
3	PinganTeam	0.75605	0.75613	0.75574
4	PAteam	0.75097	0.76045	0.75540
5	PingAnAI	0.74263	0.75416	0.74792
6	PingAnTeam	0.73661	0.74691	0.74145
7	WordWiz	0.72859	0.73914	0.73356
8	bbStar	0.71789	0.73704	0.72712
9	Dhananjaya	0.72143	0.72156	0.72125
10	TartanTritons	0.69679	0.70119	0.69873
11	Baseline	0.66802	0.67188	0.66974
12	DUTtask10	0.00000	0.00000	0.00000

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SemEval 2025 shared task on "Multilingual Characterization and Extraction of Narratives from Online News"

Leaderboard

Official SemEval 2025 task 10 Test Leaderboards

Post SemEval Leaderboards on the Test set (open)

English - Subtask 1

English - Subtask 2

English - Subtask 3

Portuguese - Subtask 1

Portuguese - Subtask 2

Portuguese - Subtask 3

Russian - Subtask 1

Russian - Subtask 2

Russian - Subtask 3

Bulgarian - Subtask 1

Bulgarian - Subtask 2

Bulgarian - Subtask 3

Hindi - Subtask 1

Hindi - Subtask 2

Hindi - Subtask 3

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