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|
- name: uri |
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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 |
|
task_categories: |
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- token-classification |
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language: |
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- ar |
|
- ca |
|
- de |
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- el |
|
- en |
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- es |
|
- fr |
|
- hi |
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- it |
|
- ja |
|
- ko |
|
- nl |
|
- pl |
|
- pt |
|
- ru |
|
- sv |
|
- vi |
|
- zh |
|
size_categories: |
|
- 10M<n<100M |
|
license: cc-by-sa-4.0 |
|
--- |
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# RED<sup>FM</sup>: a Filtered and Multilingual Relation Extraction Dataset |
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|
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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: |
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|
|
@inproceedings{huguet-cabot-et-al-2023-redfm-dataset, |
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title = "RED$^{\rm FM}$: a Filtered and Multilingual Relation Extraction Dataset", |
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author = "Huguet Cabot, Pere-Llu{\'\i}s and Tedeschi, Simone and Ngonga Ngomo, Axel-Cyrille and |
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Navigli, Roberto", |
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booktitle = "Proc. of the 61st Annual Meeting of the Association for Computational Linguistics: ACL 2023", |
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month = jul, |
|
year = "2023", |
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address = "Toronto, Canada", |
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publisher = "Association for Computational Linguistics", |
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url = "https://arxiv.org/abs/2306.09802", |
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} |
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## License |
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|
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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/). |
