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- name: predicate |
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dtype: |
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class_label: |
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names: |
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'0': country |
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'1': place of birth |
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'2': spouse |
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'3': country of citizenship |
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'4': instance of |
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'5': capital |
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'6': child |
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'7': shares border with |
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'8': author |
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'9': director |
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'10': occupation |
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'11': founded by |
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'12': league |
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'13': owned by |
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'14': genre |
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'15': named after |
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'16': follows |
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'17': headquarters location |
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'18': cast member |
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'19': manufacturer |
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'20': located in or next to body of water |
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'21': location |
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'22': part of |
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'23': mouth of the watercourse |
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'24': member of |
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'25': sport |
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'26': characters |
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'27': participant |
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'28': notable work |
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'29': replaces |
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'30': sibling |
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'31': inception |
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- name: object |
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struct: |
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- name: uri |
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dtype: string |
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- name: surfaceform |
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dtype: string |
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- name: type |
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dtype: string |
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- name: start |
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dtype: int32 |
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- name: end |
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dtype: int32 |
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splits: |
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- name: test |
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num_bytes: 311905 |
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num_examples: 270 |
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- name: validation |
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num_bytes: 364077 |
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num_examples: 307 |
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download_size: 1952982 |
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dataset_size: 675982 |
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- config_name: all_languages |
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features: |
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- name: docid |
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dtype: string |
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- name: title |
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dtype: string |
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- name: uri |
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dtype: string |
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- name: lan |
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dtype: string |
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- name: text |
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dtype: string |
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- name: entities |
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list: |
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- name: uri |
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dtype: string |
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- name: surfaceform |
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dtype: string |
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- name: type |
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dtype: string |
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- name: start |
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dtype: int32 |
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- name: end |
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dtype: int32 |
|
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- name: relations |
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list: |
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- name: subject |
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struct: |
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- name: uri |
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dtype: string |
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- name: surfaceform |
|
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dtype: string |
|
|
- name: type |
|
|
dtype: string |
|
|
- name: start |
|
|
dtype: int32 |
|
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- name: end |
|
|
dtype: int32 |
|
|
- name: predicate |
|
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dtype: |
|
|
class_label: |
|
|
names: |
|
|
'0': country |
|
|
'1': place of birth |
|
|
'2': spouse |
|
|
'3': country of citizenship |
|
|
'4': instance of |
|
|
'5': capital |
|
|
'6': child |
|
|
'7': shares border with |
|
|
'8': author |
|
|
'9': director |
|
|
'10': occupation |
|
|
'11': founded by |
|
|
'12': league |
|
|
'13': owned by |
|
|
'14': genre |
|
|
'15': named after |
|
|
'16': follows |
|
|
'17': headquarters location |
|
|
'18': cast member |
|
|
'19': manufacturer |
|
|
'20': located in or next to body of water |
|
|
'21': location |
|
|
'22': part of |
|
|
'23': mouth of the watercourse |
|
|
'24': member of |
|
|
'25': sport |
|
|
'26': characters |
|
|
'27': participant |
|
|
'28': notable work |
|
|
'29': replaces |
|
|
'30': sibling |
|
|
'31': inception |
|
|
- name: object |
|
|
struct: |
|
|
- name: uri |
|
|
dtype: string |
|
|
- name: surfaceform |
|
|
dtype: string |
|
|
- name: type |
|
|
dtype: string |
|
|
- name: start |
|
|
dtype: int32 |
|
|
- name: end |
|
|
dtype: int32 |
|
|
splits: |
|
|
- name: train |
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|
num_bytes: 13557340 |
|
|
num_examples: 10337 |
|
|
- name: test |
|
|
num_bytes: 3100822 |
|
|
num_examples: 2551 |
|
|
- name: validation |
|
|
num_bytes: 3099341 |
|
|
num_examples: 2558 |
|
|
download_size: 50720746 |
|
|
dataset_size: 19757503 |
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task_categories: |
|
|
- token-classification |
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|
language: |
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|
- ar |
|
|
- de |
|
|
- en |
|
|
- es |
|
|
- it |
|
|
- fr |
|
|
- zh |
|
|
size_categories: |
|
|
- 10K<n<100K |
|
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license: cc-by-sa-4.0 |
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|
--- |
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# RED<sup>FM</sup>: a Filtered and Multilingual Relation Extraction Dataset |
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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: |
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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, |
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|
year = "2023", |
|
|
address = "Toronto, Canada", |
|
|
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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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/). |
