# RED<sup>FM</sup>: a Filtered and Multilingual Relation Extraction Dataset

This is the automatically-filtered dataset from the 2023 ACL paper [RED^{FM}: a Filtered and Multilingual Relation Extraction Dataset](https://arxiv.org/abs/2306.09802). If you use the model, please reference this work in your paper:

    @inproceedings{huguet-cabot-et-al-2023-redfm-dataset,
        title = "RED$^{\rm FM}$: a Filtered and Multilingual Relation Extraction Dataset",
        author = "Huguet Cabot, Pere-Llu{\'\i}s  and Tedeschi, Simone and Ngonga Ngomo, Axel-Cyrille and
          Navigli, Roberto",
        booktitle = "Proc. of the 61st Annual Meeting of the Association for Computational Linguistics: ACL 2023",
        month = jul,
        year = "2023",
        address = "Toronto, Canada",
        publisher = "Association for Computational Linguistics",
        url = "https://arxiv.org/abs/2306.09802",
    }


## License

SRED<sup>FM</sup> is licensed under the CC BY-SA 4.0 license. The text of the license can be found [here](https://creativecommons.org/licenses/by-sa/4.0/).
task_categories:token-classification size_categories:10M<n<100M language:ar language:ca language:de language:el language:en language:es language:fr language:hi language:it language:ja language:ko language:nl language:pl language:pt language:ru language:sv language:vi language:zh license:cc-by-sa-4.0 arxiv:2306.09802 region:us
{"language": ["ar", "ca", "de", "el", "en", "es", "fr", "hi", "it", "ja", "ko", "nl", "pl", "pt", "ru", "sv", "vi", "zh"], "license": "cc-by-sa-4.0", "size_categories": ["10M<n<100M"], "task_categories": ["token-classification"], "dataset_info": [{"config_name": "ar", "features": [{"name": "docid", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "uri", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "entities", "list": [{"name": "uri", "dtype": "string"}, {"name": "surfaceform", "dtype": "string"}, {"name": "type", "dtype": "string"}, {"name": "start", "dtype": "int32"}, {"name": "end", "dtype": "int32"}]}, {"name": "relations", "list": [{"name": "subject", "dtype": "int32"}, {"name": "predicate", "dtype": "string"}, {"name": "object", "dtype": "int32"}]}], "splits": [{"name": "train", "num_bytes": 659105981, "num_examples": 499568}, {"name": "test", "num_bytes": 9015516, "num_examples": 4387}, {"name": "validation", "num_bytes": 7406509, "num_examples": 3783}], "download_size": 3651950669, "dataset_size": 675528006}, {"config_name": "ca", "features": [{"name": "docid", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "uri", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "entities", "list": [{"name": "uri", "dtype": "string"}, {"name": "surfaceform", "dtype": "string"}, {"name": "type", "dtype": "string"}, {"name": "start", "dtype": "int32"}, {"name": "end", "dtype": "int32"}]}, {"name": "relations", "list": [{"name": "subject", "dtype": "int32"}, {"name": "predicate", "dtype": "string"}, {"name": "object", "dtype": "int32"}]}], "splits": [{"name": "train", "num_bytes": 406179567, "num_examples": 294856}, {"name": "test", "num_bytes": 5378789, "num_examples": 2541}, {"name": "validation", "num_bytes": 3136722, "num_examples": 1532}], "download_size": 1513026644, "dataset_size": 414695078}, {"config_name": "de", "features": [{"name": "docid", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "uri", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "entities", "list": [{"name": "uri", "dtype": "string"}, {"name": "surfaceform", "dtype": "string"}, {"name": "type", "dtype": "string"}, {"name": "start", "dtype": "int32"}, {"name": "end", "dtype": "int32"}]}, {"name": "relations", "list": [{"name": "subject", "dtype": "int32"}, {"name": "predicate", "dtype": "string"}, {"name": "object", "dtype": "int32"}]}], "splits": [{"name": "train", "num_bytes": 1288274676, "num_examples": 1049967}, {"name": "test", "num_bytes": 10773087, "num_examples": 5649}, {"name": "validation", "num_bytes": 8955886, "num_examples": 4994}], "download_size": 4521091910, "dataset_size": 1308003649}, {"config_name": "el", "features": [{"name": "docid", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "uri", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "entities", "list": [{"name": "uri", "dtype": "string"}, {"name": "surfaceform", "dtype": "string"}, {"name": "type", "dtype": "string"}, {"name": "start", "dtype": "int32"}, {"name": "end", "dtype": "int32"}]}, {"name": "relations", "list": [{"name": "subject", "dtype": "int32"}, {"name": "predicate", "dtype": "string"}, {"name": "object", "dtype": "int32"}]}], "splits": [{"name": "train", "num_bytes": 133497910, "num_examples": 64221}, {"name": "test", "num_bytes": 2364826, "num_examples": 861}, {"name": "validation", "num_bytes": 1836092, "num_examples": 668}], "download_size": 579372781, "dataset_size": 137698828}, {"config_name": "en", "features": [{"name": "docid", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "uri", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "entities", "list": [{"name": "uri", "dtype": "string"}, {"name": "surfaceform", "dtype": "string"}, {"name": "type", "dtype": "string"}, {"name": "start", "dtype": "int32"}, {"name": "end", "dtype": "int32"}]}, {"name": "relations", "list": [{"name": "subject", "dtype": "int32"}, {"name": "predicate", "dtype": "string"}, {"name": "object", "dtype": "int32"}]}], "splits": [{"name": "train", "num_bytes": 3555107736, "num_examples": 2701389}, {"name": "test", "num_bytes": 13160183, "num_examples": 6685}, {"name": "validation", "num_bytes": 27692074, "num_examples": 13236}], "download_size": 11914987368, "dataset_size": 3595959993}, {"config_name": "es", "features": [{"name": "docid", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "uri", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "entities", "list": [{"name": "uri", "dtype": "string"}, {"name": "surfaceform", "dtype": "string"}, {"name": "type", "dtype": "string"}, {"name": "start", "dtype": "int32"}, {"name": "end", "dtype": "int32"}]}, {"name": "relations", "list": [{"name": "subject", "dtype": "int32"}, {"name": "predicate", "dtype": "string"}, {"name": "object", "dtype": "int32"}]}], "splits": [{"name": "train", "num_bytes": 888914515, "num_examples": 702785}, {"name": "test", "num_bytes": 16076382, "num_examples": 8561}, {"name": "validation", "num_bytes": 4621760, "num_examples": 2177}], "download_size": 3570403740, "dataset_size": 909612657}, {"config_name": "fr", "features": [{"name": "docid", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "uri", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "entities", "list": [{"name": "uri", "dtype": "string"}, {"name": "surfaceform", "dtype": "string"}, {"name": "type", "dtype": "string"}, {"name": "start", "dtype": "int32"}, {"name": "end", "dtype": "int32"}]}, {"name": "relations", "list": [{"name": "subject", "dtype": "int32"}, {"name": "predicate", "dtype": "string"}, {"name": "object", "dtype": "int32"}]}], "splits": [{"name": "train", "num_bytes": 768697146, "num_examples": 870448}, {"name": "test", "num_bytes": 5937745, "num_examples": 3883}, {"name": "validation", "num_bytes": 3233262, "num_examples": 2079}], "download_size": 3269522484, "dataset_size": 777868153}, {"config_name": "hi", "features": [{"name": "docid", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "uri", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "entities", "list": [{"name": "uri", "dtype": "string"}, {"name": "surfaceform", "dtype": "string"}, {"name": "type", "dtype": "string"}, {"name": "start", "dtype": "int32"}, {"name": "end", "dtype": "int32"}]}, {"name": "relations", "list": [{"name": "subject", "dtype": "int32"}, {"name": "predicate", "dtype": "string"}, {"name": "object", "dtype": "int32"}]}], "splits": [{"name": "train", "num_bytes": 96926984, "num_examples": 51900}, {"name": "test", "num_bytes": 1340091, "num_examples": 374}, {"name": "validation", "num_bytes": 1222098, "num_examples": 405}], "download_size": 385810623, "dataset_size": 99489173}, {"config_name": "it", "features": [{"name": "docid", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "uri", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "entities", "list": [{"name": "uri", "dtype": "string"}, {"name": "surfaceform", "dtype": "string"}, {"name": "type", "dtype": "string"}, {"name": "start", "dtype": "int32"}, {"name": "end", "dtype": "int32"}]}, {"name": "relations", "list": [{"name": "subject", "dtype": "int32"}, {"name": "predicate", "dtype": "string"}, {"name": "object", "dtype": "int32"}]}], "splits": [{"name": "train", "num_bytes": 436879977, "num_examples": 432076}, {"name": "test", "num_bytes": 3798221, "num_examples": 2175}, {"name": "validation", "num_bytes": 2230995, "num_examples": 1276}], "download_size": 1685172398, "dataset_size": 442909193}, {"config_name": "ja", "features": [{"name": "docid", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "uri", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "entities", "list": [{"name": "uri", "dtype": "string"}, {"name": "surfaceform", "dtype": "string"}, {"name": "type", "dtype": "string"}, {"name": "start", "dtype": "int32"}, {"name": "end", "dtype": "int32"}]}, {"name": "relations", "list": [{"name": "subject", "dtype": "int32"}, {"name": "predicate", "dtype": "string"}, {"name": "object", "dtype": "int32"}]}], "splits": [{"name": "train", "num_bytes": 708617436, "num_examples": 480785}, {"name": "test", "num_bytes": 7802066, "num_examples": 3392}, {"name": "validation", "num_bytes": 6990637, "num_examples": 3106}], "download_size": 3186065351, "dataset_size": 723410139}, {"config_name": "ko", "features": [{"name": "docid", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "uri", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "entities", "list": [{"name": "uri", "dtype": "string"}, {"name": "surfaceform", "dtype": "string"}, {"name": "type", "dtype": "string"}, {"name": "start", "dtype": "int32"}, {"name": "end", "dtype": "int32"}]}, {"name": "relations", "list": [{"name": "subject", "dtype": "int32"}, {"name": "predicate", "dtype": "string"}, {"name": "object", "dtype": "int32"}]}], "splits": [{"name": "train", "num_bytes": 266381416, "num_examples": 213659}, {"name": "test", "num_bytes": 1736809, "num_examples": 803}, {"name": "validation", "num_bytes": 1857229, "num_examples": 917}], "download_size": 1119778167, "dataset_size": 269975454}, {"config_name": "nl", "features": [{"name": "docid", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "uri", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "entities", "list": [{"name": "uri", "dtype": "string"}, {"name": "surfaceform", "dtype": "string"}, {"name": "type", "dtype": "string"}, {"name": "start", "dtype": "int32"}, {"name": "end", "dtype": "int32"}]}, {"name": "relations", "list": [{"name": "subject", "dtype": "int32"}, {"name": "predicate", "dtype": "string"}, {"name": "object", "dtype": "int32"}]}], "splits": [{"name": "train", "num_bytes": 695855128, "num_examples": 648029}, {"name": "test", "num_bytes": 5186584, "num_examples": 2715}, {"name": "validation", "num_bytes": 4188877, "num_examples": 2188}], "download_size": 2591997126, "dataset_size": 705230589}, {"config_name": "pl", "features": [{"name": "docid", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "uri", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "entities", "list": [{"name": "uri", "dtype": "string"}, {"name": "surfaceform", "dtype": "string"}, {"name": "type", "dtype": "string"}, {"name": "start", "dtype": "int32"}, {"name": "end", "dtype": "int32"}]}, {"name": "relations", "list": [{"name": "subject", "dtype": "int32"}, {"name": "predicate", "dtype": "string"}, {"name": "object", "dtype": "int32"}]}], "splits": [{"name": "train", "num_bytes": 877441685, "num_examples": 675688}, {"name": "test", "num_bytes": 11475559, "num_examples": 6376}, {"name": "validation", "num_bytes": 6618989, "num_examples": 3476}], "download_size": 3365852789, "dataset_size": 895536233}, {"config_name": "pt", "features": [{"name": "docid", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "uri", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "entities", "list": [{"name": "uri", "dtype": "string"}, {"name": "surfaceform", "dtype": "string"}, {"name": "type", "dtype": "string"}, {"name": "start", "dtype": "int32"}, {"name": "end", "dtype": "int32"}]}, {"name": "relations", "list": [{"name": "subject", "dtype": "int32"}, {"name": "predicate", "dtype": "string"}, {"name": "object", "dtype": "int32"}]}], "splits": [{"name": "train", "num_bytes": 584986936, "num_examples": 469347}, {"name": "test", "num_bytes": 8678707, "num_examples": 4313}, {"name": "validation", "num_bytes": 5807293, "num_examples": 2973}], "download_size": 2347987926, "dataset_size": 599472936}, {"config_name": "ru", "features": [{"name": "docid", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "uri", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "entities", "list": [{"name": "uri", "dtype": "string"}, {"name": "surfaceform", "dtype": "string"}, {"name": "type", "dtype": "string"}, {"name": "start", "dtype": "int32"}, {"name": "end", "dtype": "int32"}]}, {"name": "relations", "list": [{"name": "subject", "dtype": "int32"}, {"name": "predicate", "dtype": "string"}, {"name": "object", "dtype": "int32"}]}], "splits": [{"name": "train", "num_bytes": 604993210, "num_examples": 339697}, {"name": "test", "num_bytes": 5941158, "num_examples": 2296}, {"name": "validation", "num_bytes": 5352859, "num_examples": 2107}], "download_size": 2754576893, "dataset_size": 616287227}, {"config_name": "sv", "features": [{"name": "docid", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "uri", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "entities", "list": [{"name": "uri", "dtype": "string"}, {"name": "surfaceform", "dtype": "string"}, {"name": "type", "dtype": "string"}, {"name": "start", "dtype": "int32"}, {"name": "end", "dtype": "int32"}]}, {"name": "relations", "list": [{"name": "subject", "dtype": "int32"}, {"name": "predicate", "dtype": "string"}, {"name": "object", "dtype": "int32"}]}], "splits": [{"name": "train", "num_bytes": 1822863623, "num_examples": 1742082}, {"name": "test", "num_bytes": 13002356, "num_examples": 7531}, {"name": "validation", "num_bytes": 5136097, "num_examples": 2987}], "download_size": 6790489020, "dataset_size": 1841002076}, {"config_name": "vi", "features": [{"name": "docid", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "uri", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "entities", "list": [{"name": "uri", "dtype": "string"}, {"name": "surfaceform", "dtype": "string"}, {"name": "type", "dtype": "string"}, {"name": "start", "dtype": "int32"}, {"name": "end", "dtype": "int32"}]}, {"name": "relations", "list": [{"name": "subject", "dtype": "int32"}, {"name": "predicate", "dtype": "string"}, {"name": "object", "dtype": "int32"}]}], "splits": [{"name": "train", "num_bytes": 300641174, "num_examples": 260010}, {"name": "test", "num_bytes": 4304795, "num_examples": 1824}, {"name": "validation", "num_bytes": 3402120, "num_examples": 1461}], "download_size": 1301938106, "dataset_size": 308348089}, {"config_name": "zh", "features": [{"name": "docid", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "uri", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "entities", "list": [{"name": "uri", "dtype": "string"}, {"name": "surfaceform", "dtype": "string"}, {"name": "type", "dtype": "string"}, {"name": "start", "dtype": "int32"}, {"name": "end", "dtype": "int32"}]}, {"name": "relations", "list": [{"name": "subject", "dtype": "int32"}, {"name": "predicate", "dtype": "string"}, {"name": "object", "dtype": "int32"}]}], "splits": [{"name": "train", "num_bytes": 449085696, "num_examples": 369249}, {"name": "test", "num_bytes": 5260974, "num_examples": 2667}, {"name": "validation", "num_bytes": 3511103, "num_examples": 1816}], "download_size": 2440525684, "dataset_size": 457857773}, {"config_name": "all_languages", "features": [{"name": "docid", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "uri", "dtype": "string"}, {"name": "lan", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "entities", "list": [{"name": "uri", "dtype": "string"}, {"name": "surfaceform", "dtype": "string"}, {"name": "type", "dtype": "string"}, {"name": "start", "dtype": "int32"}, {"name": "end", "dtype": "int32"}]}, {"name": "relations", "list": [{"name": "subject", "dtype": "int32"}, {"name": "predicate", "dtype": "string"}, {"name": "object", "dtype": "int32"}]}], "splits": [{"name": "train", "num_bytes": 14615645332, "num_examples": 11865756}, {"name": "test", "num_bytes": 131636046, "num_examples": 67033}, {"name": "validation", "num_bytes": 103507688, "num_examples": 51181}], "download_size": 56989165879, "dataset_size": 14850789066}]}
TAGS
#task_categories-token-classification #size_categories-10M<n<100M #language-Arabic #language-Catalan #language-German #language-Modern Greek (1453-) #language-English #language-Spanish #language-French #language-Hindi #language-Italian #language-Japanese #language-Korean #language-Dutch #language-Polish #language-Portuguese #language-Russian #language-Swedish #language-Vietnamese #language-Chinese #license-cc-by-sa-4.0 #arxiv-2306.09802 #region-us 

# RED<sup>FM</sup>: a Filtered and Multilingual Relation Extraction Dataset

This is the automatically-filtered dataset from the 2023 ACL paper RED^{FM}: a Filtered and Multilingual Relation Extraction Dataset. If you use the model, please reference this work in your paper:

    @inproceedings{huguet-cabot-et-al-2023-redfm-dataset,
        title = "RED$^{\rm FM}$: a Filtered and Multilingual Relation Extraction Dataset",
        author = "Huguet Cabot, Pere-Llu{\'\i}s  and Tedeschi, Simone and Ngonga Ngomo, Axel-Cyrille and
          Navigli, Roberto",
        booktitle = "Proc. of the 61st Annual Meeting of the Association for Computational Linguistics: ACL 2023",
        month = jul,
        year = "2023",
        address = "Toronto, Canada",
        publisher = "Association for Computational Linguistics",
        url = "URL
    }


## License

SRED<sup>FM</sup> is licensed under the CC BY-SA 4.0 license. The text of the license can be found here.
# RED<sup>FM</sup>: a Filtered and Multilingual Relation Extraction Dataset

This is the automatically-filtered dataset from the 2023 ACL paper RED^{FM}: a Filtered and Multilingual Relation Extraction Dataset. If you use the model, please reference this work in your paper:

    @inproceedings{huguet-cabot-et-al-2023-redfm-dataset,
        title = "RED$^{\rm FM}$: a Filtered and Multilingual Relation Extraction Dataset",
        author = "Huguet Cabot, Pere-Llu{\'\i}s  and Tedeschi, Simone and Ngonga Ngomo, Axel-Cyrille and
          Navigli, Roberto",
        booktitle = "Proc. of the 61st Annual Meeting of the Association for Computational Linguistics: ACL 2023",
        month = jul,
        year = "2023",
        address = "Toronto, Canada",
        publisher = "Association for Computational Linguistics",
        url = "URL
    } ## License

SRED<sup>FM</sup> is licensed under the CC BY-SA 4.0 license. The text of the license can be found here.
TAGS
#task_categories-token-classification #size_categories-10M<n<100M #language-Arabic #language-Catalan #language-German #language-Modern Greek (1453-) #language-English #language-Spanish #language-French #language-Hindi #language-Italian #language-Japanese #language-Korean #language-Dutch #language-Polish #language-Portuguese #language-Russian #language-Swedish #language-Vietnamese #language-Chinese #license-cc-by-sa-4.0 #arxiv-2306.09802 #region-us 
 # RED<sup>FM</sup>: a Filtered and Multilingual Relation Extraction Dataset

This is the automatically-filtered dataset from the 2023 ACL paper RED^{FM}: a Filtered and Multilingual Relation Extraction Dataset. If you use the model, please reference this work in your paper:

    @inproceedings{huguet-cabot-et-al-2023-redfm-dataset,
        title = "RED$^{\rm FM}$: a Filtered and Multilingual Relation Extraction Dataset",
        author = "Huguet Cabot, Pere-Llu{\'\i}s  and Tedeschi, Simone and Ngonga Ngomo, Axel-Cyrille and
          Navigli, Roberto",
        booktitle = "Proc. of the 61st Annual Meeting of the Association for Computational Linguistics: ACL 2023",
        month = jul,
        year = "2023",
        address = "Toronto, Canada",
        publisher = "Association for Computational Linguistics",
        url = "URL
    } ## License

SRED<sup>FM</sup> is licensed under the CC BY-SA 4.0 license. The text of the license can be found here.
passage: TAGS
#task_categories-token-classification #size_categories-10M<n<100M #language-Arabic #language-Catalan #language-German #language-Modern Greek (1453-) #language-English #language-Spanish #language-French #language-Hindi #language-Italian #language-Japanese #language-Korean #language-Dutch #language-Polish #language-Portuguese #language-Russian #language-Swedish #language-Vietnamese #language-Chinese #license-cc-by-sa-4.0 #arxiv-2306.09802 #region-us 
# RED<sup>FM</sup>: a Filtered and Multilingual Relation Extraction Dataset

This is the automatically-filtered dataset from the 2023 ACL paper RED^{FM}: a Filtered and Multilingual Relation Extraction Dataset. If you use the model, please reference this work in your paper:

    @inproceedings{huguet-cabot-et-al-2023-redfm-dataset,
        title = "RED$^{\rm FM}$: a Filtered and Multilingual Relation Extraction Dataset",
        author = "Huguet Cabot, Pere-Llu{\'\i}s  and Tedeschi, Simone and Ngonga Ngomo, Axel-Cyrille and
          Navigli, Roberto",
        booktitle = "Proc. of the 61st Annual Meeting of the Association for Computational Linguistics: ACL 2023",
        month = jul,
        year = "2023",
        address = "Toronto, Canada",
        publisher = "Association for Computational Linguistics",
        url = "URL
    }## License

SRED<sup>FM</sup> is licensed under the CC BY-SA 4.0 license. The text of the license can be found here.