Leaderboard ODESIA v2 - Results

Odesia Core Tasks

Tasks	Spanish baseline	Best result Spanish	English baseline	Best result English	Gap
EXIST 2022: Sexism detection	0.69	0.77	0.67	0.82	49%
EXIST 2022: Sexism categorisation	0.46	0.57	0.44	0.58	30%
DIPROMATS 2023: Propaganda identification	0.75	0.82	0.71	0.80	25%
DIPROMATS 2023: Coarse propaganda characterization	0.22	0.53	0.21	0.52	-1%
DIPROMATS 2023: Fine-grained propaganda characterization	0.09	0.45	0.08	0.55	23%
DIANN 2023: Disability detection	0.75	0.79	0.67	0.80	71%
EXIST-2023: Sexism identification (soft-soft)	0.47	0.67	0.44	0.63	-5%
EXIST-2023: Source Intention (soft-soft)	0.25	0.44	0.22	0.40	-4%
EXIST-2023: Sexism categorization (soft-soft)	0.22	0.40	0.21	0.40	8%
SQAC-SQUAD 2024: Question answering	0.13	0.46	0.12	0.46	2%

System	Arithmetic mean	EXIST 2022: Sexism detection	EXIST 2022: Sexism categorisation	DIPROMATS 2023: Propaganda identification	DIPROMATS 2023: Coarse propaganda characterization	DIPROMATS 2023: Fine-grained propaganda characterization	DIANN 2023: Disability detection	EXIST-2023: Sexism identification (soft-soft)	EXIST-2023: Source Intention (soft-soft)	EXIST-2023: Sexism categorization (soft-soft)	SQAC-SQUAD 2024: Question answering
Ixa ehu ixambert base cased	0.4748	0.6743	0.4875	0.7666	0.3796	0.0543	0.6868	0.6117	0.3890	0.3412	0.3570
Bertin roberta base spanish	0.4912	0.7280	0.4941	0.7596	0.2532	0.1782	0.6877	0.6465	0.4146	0.3331	0.4172
Xlm roberta large	0.5873	0.7663	0.5593	0.8186	0.5343	0.4527	0.7855	0.6564	0.4414	0.3995	0.4589
Xlm roberta base	0.5264	0.7395	0.4997	0.7894	0.4504	0.2668	0.7819	0.6236	0.4245	0.3195	0.3691
PlanTL GOB ES roberta large bne	0.5626	0.7241	0.5668	0.8177	0.5173	0.3894	0.6757	0.6671	0.4237	0.3798	0.4640
PlanTL GOB ES roberta base bne	0.5453	0.7356	0.5554	0.8149	0.4906	0.2944	0.7169	0.6531	0.4173	0.3688	0.4061
Distilbert base multilingual cased	0.4728	0.7222	0.4669	0.7507	0.4036	0.2222	0.6868	0.5851	0.3823	0.2874	0.2207
Dccuchile bert base spanish wwm cased	0.5408	0.7146	0.5370	0.7916	0.4874	0.2931	0.7478	0.6326	0.4182	0.3738	0.4118
CenIA distillbert base spanish uncased	0.4864	0.7203	0.5118	0.7708	0.4198	0.1782	0.6531	0.6128	0.4160	0.3324	0.2484
Bert base multilingual cased	0.5073	0.7222	0.4693	0.7821	0.4231	0.2562	0.7592	0.6136	0.3917	0.3326	0.3225

System	Arithmetic mean	EXIST 2022: Sexism detection	EXIST 2022: Sexism categorisation	DIANN 2023: Disability detection	DIPROMATS 2023: Propaganda identification	DIPROMATS 2023: Coarse propaganda characterization	DIPROMATS 2023: Fine-grained propaganda characterization	EXIST-2023: Sexism categorization (soft-soft)	EXIST-2023: Sexism identification (soft-soft)	EXIST-2023: Source intention (soft-soft)	SQAC-SQUAD 2024: Question answering
Ixa ehu ixambert base cased	0.5286	0.7563	0.5300	0.7450	0.7796	0.4430	0.4004	0.3556	0.5913	0.3622	0.3222
Xlm roberta large	0.5723	0.7953	0.5422	0.7740	0.7931	0.4867	0.5123	0.3866	0.6135	0.4029	0.4163
Xlm roberta base	0.5279	0.7661	0.5345	0.7438	0.7791	0.4329	0.3773	0.3487	0.5983	0.3735	0.3251
Roberta large	0.5961	0.8187	0.5846	0.7982	0.7984	0.5204	0.5526	0.4026	0.6262	0.3962	0.4626
Roberta base	0.5522	0.7875	0.5258	0.7612	0.7799	0.4811	0.4406	0.3774	0.6155	0.3779	0.3746
Distilbert base uncased	0.5120	0.7739	0.5486	0.6966	0.7687	0.4054	0.3035	0.3676	0.6044	0.3844	0.2670
Distilbert base multilingual cased	0.4828	0.7388	0.4792	0.6950	0.7471	0.3794	0.3592	0.3041	0.5683	0.3576	0.1994
Bert base cased	0.5329	0.7641	0.5344	0.7364	0.7763	0.4468	0.4271	0.3659	0.6083	0.3701	0.2996
Bert base multilingual cased	0.5171	0.7563	0.5022	0.7384	0.7709	0.4266	0.3884	0.3443	0.5876	0.3618	0.2948

Odesia Extended Tasks

Tasks	Spanish baseline	Best result Spanish	English baseline	Best result English	Gap
MLDOC 2018: Document classification	0.93	0.96	0.88	0.98	66%
Multilingual Complex Named Entity Recognition 2022	0.52	0.68	0.55	0.70	-6%
SQAC-SQUAD 2016: Question answering	0.53	0.79	0.52	0.87	26%
Semantic Textual Similarity 2017	0.68	0.83	0.70	0.87	8%

System	Arithmetic mean	MLDOC 2018: Document classification	Multilingual Complex Named Entity Recognition 2022	SQAC-SQUAD 2016: Question answering	Semantic Textual Similarity 2017
Ixa ehu ixambert base cased	0.7764	0.9579	0.5926	0.7429	0.8120
Bertin roberta base spanish	0.7484	0.9605	0.5215	0.7298	0.7818
Xlm roberta large	0.8156	0.9641	0.6801	0.7895	0.8287
Xlm roberta base	0.7646	0.9534	0.6201	0.6988	0.7861
PlanTL GOB ES roberta large bne	0.7922	0.9567	0.6069	0.7818	0.8232
PlanTL GOB ES roberta base bne	0.7823	0.9570	0.6041	0.7584	0.8096
Distilbert base multilingual cased	0.7088	0.9425	0.5580	0.5566	0.7781
Dccuchile bert base spanish wwm cased	0.7661	0.9564	0.5472	0.7276	0.8330
CenIA distillbert base spanish uncased	0.7182	0.9553	0.5894	0.5329	0.7951
Bert base multilingual cased	0.7613	0.9562	0.5992	0.6976	0.7920
distilbert-base-multilingual-cased	0.1375	0.5500	0.0000	0.0000	0.0000

System	Arithmetic mean	MLDOC 2018: Document classification	Multilingual Complex Named Entity Recognition 2022	SQAC-SQUAD 2016: Question answering	Semantic Textual Similarity 2017
Ixa ehu ixambert base cased	0.8047	0.9756	0.6075	0.8187	0.8170
Xlm roberta large	0.8457	0.9789	0.7007	0.8581	0.8450
Xlm roberta base	0.7984	0.9761	0.6080	0.7998	0.8097
Roberta large	0.8556	0.9832	0.7012	0.8724	0.8656
Roberta base	0.8345	0.9802	0.6577	0.8427	0.8572
Distilbert base uncased	0.8063	0.9726	0.6563	0.7602	0.8360
Distilbert base multilingual cased	0.7681	0.9693	0.5693	0.7467	0.7872
Bert base cased	0.8036	0.9749	0.5993	0.7968	0.8434
Bert base multilingual cased	0.8035	0.9716	0.6252	0.8059	0.8112