Datasets:
metadata
dataset_info:
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download_size: 50720746
dataset_size: 19757503
task_categories:
- token-classification
language:
- ar
- de
- en
- es
- it
- fr
- zh
size_categories:
- 10K<n<100K
license: cc-by-sa-4.0
REDFM: 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. 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
REDFM is licensed under the CC BY-SA 4.0 license. The text of the license can be found here.