|
--- |
|
language: |
|
- en |
|
- fr |
|
- de |
|
- es |
|
- tr |
|
configs: |
|
- config_name: en |
|
data_files: |
|
- split: train |
|
path: "RELX_en.json" |
|
- config_name: fr |
|
data_files: |
|
- split: train |
|
path: "RELX_fr.json" |
|
- config_name: de |
|
data_files: |
|
- split: train |
|
path: "RELX_de.json" |
|
- config_name: es |
|
data_files: |
|
- split: train |
|
path: "RELX_es.json" |
|
- config_name: tr |
|
data_files: |
|
- split: train |
|
path: "RELX_tr.json" |
|
--- |
|
|
|
> [!NOTE] |
|
> Dataset origin: https://github.com/boun-tabi/RELX |
|
|
|
|
|
## RELX-Distant |
|
|
|
This dataset is gathered from Wikipedia and Wikidata. |
|
The process is as follows: |
|
|
|
1. The Wikipedia dumps for the corresponding languages are downloaded and converted into raw documents with Wikipedia hyperlinks in entities. |
|
2. The raw documents are split into sentences with spaCy (Honnibal and Montani, 2017), and all hyperlinks are converted to their corresponding Wikidata IDs. |
|
3. Sentences that include entity pairs with Wikidata relations (Vrandečić and Krötzsch, 2014) are collected. We filter and combine some of the relations and propose RELX-Distant whose statistics can be seen in the table below. |
|
|
|
| **Language** | **Number of Sentences** | |
|
|--------------|-------------------------| |
|
| English | 815689 | |
|
| French | 652842 | |
|
| German | 652062 | |
|
| Spanish | 397875 | |
|
| Turkish | 57114 | |
|
|
|
## Citation |
|
|
|
``` |
|
@inproceedings{koksal-ozgur-2020-relx, |
|
title = "The {RELX} Dataset and Matching the Multilingual Blanks for Cross-Lingual Relation Classification", |
|
author = {K{\"o}ksal, Abdullatif and |
|
{\"O}zg{\"u}r, Arzucan}, |
|
booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2020", |
|
month = nov, |
|
year = "2020", |
|
address = "Online", |
|
publisher = "Association for Computational Linguistics", |
|
url = "https://www.aclweb.org/anthology/2020.findings-emnlp.32", |
|
doi = "10.18653/v1/2020.findings-emnlp.32", |
|
pages = "340--350", |
|
} |
|
``` |