{ "dataset_revision": "0ca7b87dda68ef4ebb2f50a20a62b9dbebcac3e4", "task_name": "IndicCrosslingualSTS", "mteb_version": "1.18.0", "scores": { "test": [ { "pearson": 0.596912, "spearman": 0.604408, "cosine_pearson": 0.596912, "cosine_spearman": 0.604408, "manhattan_pearson": 0.584892, "manhattan_spearman": 0.603377, "euclidean_pearson": 0.584926, "euclidean_spearman": 0.604408, "main_score": 0.604408, "hf_subset": "en-mr", "languages": [ "eng-Latn", "mar-Deva" ] }, { "pearson": 0.637822, "spearman": 0.637093, "cosine_pearson": 0.637822, "cosine_spearman": 0.637093, "manhattan_pearson": 0.603372, "manhattan_spearman": 0.637049, "euclidean_pearson": 0.604545, "euclidean_spearman": 0.637093, "main_score": 0.637093, "hf_subset": "en-bn", "languages": [ "eng-Latn", "ben-Beng" ] }, { "pearson": 0.497693, "spearman": 0.481393, "cosine_pearson": 0.497694, "cosine_spearman": 0.481393, "manhattan_pearson": 0.497393, "manhattan_spearman": 0.479076, "euclidean_pearson": 0.497956, "euclidean_spearman": 0.481393, "main_score": 0.481393, "hf_subset": "en-as", "languages": [ "eng-Latn", "asm-Beng" ] }, { "pearson": 0.663964, "spearman": 0.690163, "cosine_pearson": 0.663964, "cosine_spearman": 0.690163, "manhattan_pearson": 0.656352, "manhattan_spearman": 0.688891, "euclidean_pearson": 0.657143, "euclidean_spearman": 0.690163, "main_score": 0.690163, "hf_subset": "en-gu", "languages": [ "eng-Latn", "guj-Gujr" ] }, { "pearson": 0.653892, "spearman": 0.685384, "cosine_pearson": 0.653892, "cosine_spearman": 0.685384, "manhattan_pearson": 0.640688, "manhattan_spearman": 0.685408, "euclidean_pearson": 0.640369, "euclidean_spearman": 0.685384, "main_score": 0.685384, "hf_subset": "en-kn", "languages": [ "eng-Latn", "kan-Knda" ] }, { "pearson": 0.132124, "spearman": 0.158918, "cosine_pearson": 0.132124, "cosine_spearman": 0.158918, "manhattan_pearson": 0.126846, "manhattan_spearman": 0.156978, "euclidean_pearson": 0.129497, "euclidean_spearman": 0.158918, "main_score": 0.158918, "hf_subset": "en-or", "languages": [ "eng-Latn", "ory-Orya" ] }, { "pearson": 0.632378, "spearman": 0.645204, "cosine_pearson": 0.632378, "cosine_spearman": 0.645204, "manhattan_pearson": 0.622582, "manhattan_spearman": 0.642926, "euclidean_pearson": 0.625106, "euclidean_spearman": 0.645204, "main_score": 0.645204, "hf_subset": "en-pa", "languages": [ "eng-Latn", "pan-Guru" ] }, { "pearson": 0.544189, "spearman": 0.571479, "cosine_pearson": 0.544189, "cosine_spearman": 0.571479, "manhattan_pearson": 0.521664, "manhattan_spearman": 0.571495, "euclidean_pearson": 0.523422, "euclidean_spearman": 0.571479, "main_score": 0.571479, "hf_subset": "en-te", "languages": [ "eng-Latn", "tel-Telu" ] }, { "pearson": 0.683229, "spearman": 0.736201, "cosine_pearson": 0.683229, "cosine_spearman": 0.736201, "manhattan_pearson": 0.669448, "manhattan_spearman": 0.737065, "euclidean_pearson": 0.669323, "euclidean_spearman": 0.736201, "main_score": 0.736201, "hf_subset": "en-hi", "languages": [ "eng-Latn", "hin-Deva" ] }, { "pearson": 0.184242, "spearman": 0.185348, "cosine_pearson": 0.184242, "cosine_spearman": 0.185348, "manhattan_pearson": 0.171831, "manhattan_spearman": 0.184277, "euclidean_pearson": 0.173178, "euclidean_spearman": 0.185348, "main_score": 0.185348, "hf_subset": "en-ur", "languages": [ "eng-Latn", "urd-Arab" ] }, { "pearson": 0.649865, "spearman": 0.656957, "cosine_pearson": 0.649865, "cosine_spearman": 0.656957, "manhattan_pearson": 0.640875, "manhattan_spearman": 0.655948, "euclidean_pearson": 0.638206, "euclidean_spearman": 0.656957, "main_score": 0.656957, "hf_subset": "en-ml", "languages": [ "eng-Latn", "mal-Mlym" ] }, { "pearson": 0.544546, "spearman": 0.609309, "cosine_pearson": 0.544546, "cosine_spearman": 0.609309, "manhattan_pearson": 0.549777, "manhattan_spearman": 0.607815, "euclidean_pearson": 0.552519, "euclidean_spearman": 0.609309, "main_score": 0.609309, "hf_subset": "en-ta", "languages": [ "eng-Latn", "tam-Taml" ] } ] }, "evaluation_time": 2.604541063308716, "kg_co2_emissions": 0.0001547562682569215 }