{
    "title": "PL-MTEB: Polish Massive Text Embedding Benchmark",
    "description": "",
    "paper": "https://arxiv.org/abs/2405.10138",
    "citation": "@misc{powiata2024plmteb,\ntitle={PL-MTEB: Polish Massive Text Embedding Benchmark},\nauthor={Rafał Poświata and Sławomir Dadas and Michał Perełkiewicz},\nyear={2024},\neprint={2405.10138},\narchivePrefix={arXiv},\nprimaryClass={cs.CL}\n}",
    "options": {
        "closeable": true,
        "showHelp": false,
        "showFooter": false
    },
    "metrics": [
        {
            "id": "main_score",
            "description": "Main score"
        }
    ],
    "taskGroups": [
        {
            "id": "Classification",
            "description": ""
        },
        {
            "id": "Clustering",
            "description": ""
        },
        {
            "id": "PairClassification",
            "description": ""
        },
        {
            "id": "Retrieval",
            "description": ""
        },
        {
            "id": "STS",
            "description": ""
        }
    ],
    "tasks": [
        {
            "id": "CBD",
            "name": "CBD",
            "groupId": "Classification"
        },
        {
            "id": "PolEmo2.0-IN",
            "name": "PolEmo2.0-IN",
            "groupId": "Classification"
        },
        {
            "id": "PolEmo2.0-OUT",
            "name": "PolEmo2.0-OUT",
            "groupId": "Classification"
        },
        {
            "id": "AllegroReviews",
            "name": "AllegroReviews",
            "groupId": "Classification"
        },
        {
            "id": "PAC",
            "name": "PAC",
            "groupId": "Classification"
        },
        {
            "id": "MassiveIntentClassification",
            "name": "MassiveIntentClassification",
            "groupId": "Classification"
        },
        {
            "id": "MassiveScenarioClassification",
            "name": "MassiveScenarioClassification",
            "groupId": "Classification"
        },
        {
            "id": "SciField",
            "name": "SciField",
            "groupId": "Classification"
        },
        {
            "id": "EightTagsClustering",
            "name": "EightTagsClustering",
            "groupId": "Clustering"
        },
        {
            "id": "PlscClusteringS2S",
            "name": "PlscClusteringS2S",
            "groupId": "Clustering"
        },
        {
            "id": "PlscClusteringP2P",
            "name": "PlscClusteringP2P",
            "groupId": "Clustering"
        },
        {
            "id": "WikinewsPlClusteringS2S",
            "name": "WikinewsPlClusteringS2S",
            "groupId": "Clustering"
        },
        {
            "id": "WikinewsPlClusteringP2P",
            "name": "WikinewsPlClusteringP2P",
            "groupId": "Clustering"
        },
        {
            "id": "SICK-E-PL",
            "name": "SICK-E-PL",
            "groupId": "PairClassification"
        },
        {
            "id": "PPC",
            "name": "PPC",
            "groupId": "PairClassification"
        },
        {
            "id": "CDSC-E",
            "name": "CDSC-E",
            "groupId": "PairClassification"
        },
        {
            "id": "PSC",
            "name": "PSC",
            "groupId": "PairClassification"
        },
        {
            "id": "SICK-R-PL",
            "name": "SICK-R-PL",
            "groupId": "STS"
        },
        {
            "id": "CDSC-R",
            "name": "CDSC-R",
            "groupId": "STS"
        },
        {
            "id": "STS22",
            "name": "STS22",
            "groupId": "STS"
        },
        {
            "id": "ArguAna-PL",
            "name": "ArguAna-PL",
            "groupId": "Retrieval"
        },
        {
            "id": "DBPedia-PL",
            "name": "DBPedia-PL",
            "groupId": "Retrieval"
        },
        {
            "id": "FiQA-PL",
            "name": "FiQA-PL",
            "groupId": "Retrieval"
        },
        {
            "id": "HotpotQA-PL",
            "name": "HotpotQA-PL",
            "groupId": "Retrieval"
        },
        {
            "id": "MSMARCO-PL",
            "name": "MSMARCO-PL",
            "groupId": "Retrieval"
        },
        {
            "id": "NFCorpus-PL",
            "name": "NFCorpus-PL",
            "groupId": "Retrieval"
        },
        {
            "id": "NQ-PL",
            "name": "NQ-PL",
            "groupId": "Retrieval"
        },
        {
            "id": "Quora-PL",
            "name": "Quora-PL",
            "groupId": "Retrieval"
        },
        {
            "id": "SCIDOCS-PL",
            "name": "SCIDOCS-PL",
            "groupId": "Retrieval"
        },
        {
            "id": "SciFact-PL",
            "name": "SciFact-PL",
            "groupId": "Retrieval"
        },
        {
            "id": "TRECCOVID-PL",
            "name": "TRECCOVID-PL",
            "groupId": "Retrieval"
        },
        {
            "id": "SciDefRetrieval",
            "name": "SciDefRetrieval",
            "groupId": "Retrieval"
        }
    ],
    "models": [
        {
            "id": "LaBSE",
            "name": "LaBSE",
            "url": "https://huggingface.co/LaBSE"
        },
        {
            "id": "distiluse-base-multilingual-cased-v2",
            "name": "distiluse-base-multilingual-cased-v2",
            "url": "https://huggingface.co/distiluse-base-multilingual-cased-v2"
        },
        {
            "id": "paraphrase-multilingual-MiniLM-L12-v2",
            "name": "paraphrase-multilingual-MiniLM-L12-v2",
            "url": "https://huggingface.co/paraphrase-multilingual-MiniLM-L12-v2"
        },
        {
            "id": "paraphrase-multilingual-mpnet-base-v2",
            "name": "paraphrase-multilingual-mpnet-base-v2",
            "url": "https://huggingface.co/paraphrase-multilingual-mpnet-base-v2"
        },
        {
            "id": "multilingual-e5-small",
            "name": "intfloat/multilingual-e5-small",
            "url": "https://huggingface.co/intfloat/multilingual-e5-small"
        },
        {
            "id": "multilingual-e5-base",
            "name": "intfloat/multilingual-e5-base",
            "url": "https://huggingface.co/intfloat/multilingual-e5-base"
        },
        {
            "id": "multilingual-e5-large",
            "name": "intfloat/multilingual-e5-large",
            "url": "https://huggingface.co/intfloat/multilingual-e5-large"
        },
        {
            "id": "bge-m3",
            "name": "BAAI/bge-m3",
            "url": "https://huggingface.co/BAAI/bge-m3"
        },
        {
            "id": "st-polish-paraphrase-from-mpnet",
            "name": "sdadas/st-polish-paraphrase-from-mpnet",
            "url": "https://huggingface.co/sdadas/st-polish-paraphrase-from-mpnet"
        },
        {
            "id": "st-polish-paraphrase-from-distilroberta",
            "name": "sdadas/st-polish-paraphrase-from-distilroberta",
            "url": "https://huggingface.co/sdadas/st-polish-paraphrase-from-distilroberta"
        },
        {
            "id": "silver-retriever-base-v1",
            "name": "ipipan/silver-retriever-base-v1",
            "url": "https://huggingface.co/ipipan/silver-retriever-base-v1"
        },
        {
            "id": "mmlw-e5-small",
            "name": "sdadas/mmlw-e5-small",
            "url": "https://huggingface.co/sdadas/mmlw-e5-small"
        },
        {
            "id": "mmlw-e5-base",
            "name": "sdadas/mmlw-e5-base",
            "url": "https://huggingface.co/sdadas/mmlw-e5-base"
        },
        {
            "id": "mmlw-e5-large",
            "name": "sdadas/mmlw-e5-large",
            "url": "https://huggingface.co/sdadas/mmlw-e5-large"
        },
        {
            "id": "mmlw-roberta-base",
            "name": "sdadas/mmlw-roberta-base",
            "url": "https://huggingface.co/sdadas/mmlw-roberta-base"
        },
        {
            "id": "mmlw-roberta-large",
            "name": "sdadas/mmlw-roberta-large",
            "url": "https://huggingface.co/sdadas/mmlw-roberta-large"
        },
        {
            "id": "KartonBERT-USE-base-v1",
            "name": "OrlikB/KartonBERT-USE-base-v1",
            "url": "https://huggingface.co/OrlikB/KartonBERT-USE-base-v1"
        },
        {
            "id": "bge-multilingual-gemma2",
            "name": "BAAI/bge-multilingual-gemma2",
            "url": "https://huggingface.co/BAAI/bge-multilingual-gemma2"
        },
        {
            "id": "gte-Qwen2-1.5B-instruct",
            "name": "Alibaba-NLP/gte-Qwen2-1.5B-instruct",
            "url": "https://huggingface.co/Alibaba-NLP/gte-Qwen2-1.5B-instruct"
        },
        {
            "id": "gte-Qwen2-7B-instruct",
            "name": "Alibaba-NLP/gte-Qwen2-7B-instruct",
            "url": "https://huggingface.co/Alibaba-NLP/gte-Qwen2-7B-instruct"
        }
    ],
    "results": [
        {
            "id": "bge-m3",
            "tags": [],
            "results": {
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                    "accuracy": 69.23,
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                    "ap": 22.08922,
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                    "evaluation_time": 12.11,
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                    "evaluation_time": 11.77,
                    "f1": 39.46514,
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                    "main_score": 45.80517
                },
                "PlscClusteringS2S": {
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                    "v_measures": 36.88264,
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                    "map_at_1": 25.107,
                    "map_at_10": 41.171,
                    "map_at_100": 42.181,
                    "map_at_1000": 42.194,
                    "map_at_20": 41.951,
                    "map_at_3": 36.166,
                    "map_at_5": 39.097,
                    "mrr_at_1": 25.676,
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                    "mrr_at_100": 42.391,
                    "mrr_at_1000": 42.404,
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                    "mrr_at_3": 36.463,
                    "mrr_at_5": 39.283,
                    "ndcg_at_1": 25.107,
                    "ndcg_at_10": 50.089,
                    "ndcg_at_100": 54.346,
                    "ndcg_at_1000": 54.678,
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                    "ndcg_at_3": 39.791,
                    "ndcg_at_5": 45.083,
                    "precision_at_1": 25.107,
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                    "precision_at_100": 0.971,
                    "precision_at_1000": 0.1,
                    "precision_at_20": 4.467,
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                    "precision_at_5": 12.632,
                    "recall_at_1": 25.107,
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                    "recall_at_1000": 99.644,
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                    "recall_at_3": 50.284,
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                    "evaluation_time": 12.01,
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                    "evaluation_time": 5.51,
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                    "map_at_20": 55.976,
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                    "map_at_5": 54.318,
                    "mrr_at_1": 74.477,
                    "mrr_at_10": 80.313,
                    "mrr_at_100": 80.549,
                    "mrr_at_1000": 80.561,
                    "mrr_at_20": 80.464,
                    "mrr_at_3": 79.242,
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                    "ndcg_at_1": 74.477,
                    "ndcg_at_10": 64.163,
                    "ndcg_at_100": 67.205,
                    "ndcg_at_1000": 68.649,
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                    "ndcg_at_3": 59.736,
                    "ndcg_at_5": 62.168,
                    "precision_at_1": 74.477,
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                    "precision_at_100": 1.562,
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                    "mrr_at_100": 51.89,
                    "mrr_at_1000": 51.942,
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                    "ndcg_at_10": 60.827,
                    "ndcg_at_100": 64.355,
                    "ndcg_at_1000": 65.41,
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                    "ndcg_at_3": 56.655,
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                    "recall_at_100": 89.1,
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                "MassiveScenarioClassification": {
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                "FiQA-PL": {
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                    "mrr_at_100": 40.655,
                    "mrr_at_1000": 40.718,
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                    "mrr_at_3": 37.423,
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                    "ndcg_at_1": 31.79,
                    "ndcg_at_10": 32.234,
                    "ndcg_at_100": 38.475,
                    "ndcg_at_1000": 41.985,
                    "ndcg_at_20": 34.742,
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                    "ndcg_at_5": 29.954,
                    "precision_at_1": 31.79,
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                    "precision_at_100": 1.517,
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                    "precision_at_20": 5.44,
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                    "precision_at_5": 14.105,
                    "recall_at_1": 16.159,
                    "recall_at_10": 38.166,
                    "recall_at_100": 61.756,
                    "recall_at_1000": 83.371,
                    "recall_at_20": 46.093,
                    "recall_at_3": 25.881,
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                    "main_score": 32.234
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                "SICK-R-PL": {
                    "cos_sim.pearson": 77.92638,
                    "cos_sim.spearman": 74.53951,
                    "euclidean.pearson": 75.68002,
                    "euclidean.spearman": 74.53961,
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                "CDSC-R": {
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