Datasets:

Babelscape
/

REDFM

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	task_categories:
	- token-classification
	language:
	- ar
	- de
	- en
	- es
	- it
	- fr
	- zh
	size_categories:
	- 10K<n<100K
	license: cc-by-sa-4.0
	---
	# RED<sup>FM</sup>: a Filtered and Multilingual Relation Extraction Dataset

	This is the human-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

	RED<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/).