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---
annotations_creators:
- expert-generated
- machine-generated
language_creators:
- expert-generated
language:
- eu
license:
- other
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- extended|google-research-datasets/paws-x
task_categories:
- text-classification
task_ids:
- semantic-similarity-classification
- semantic-similarity-scoring
- text-scoring
- multi-input-text-classification
pretty_name: PAWS-eu
tags:
- paraphrase-identification
config_names:
- default
language_details: eu-ES
configs:
- config_name: default
data_files:
- split: test
path: paws-x.eu.test.jsonl
dataset_info:
config_name: default
features:
- name: id
dtype: int64
- name: sentence1
dtype: string
- name: sentence2
dtype: string
- name: label
dtype:
class_label:
names:
'0': '0'
'1': '1'
splits:
- name: test
num_bytes: 520861
num_examples: 2000
download_size: 577814
dataset_size: 520861
---
# Dataset Card for PAWS-eu
- **Point of Contact:** [hitz@ehu.eus](mailto:hitz@ehu.eus)
## Dataset Description
### Dataset Summary
PAWS-eu is the professional translation to Basque of the PAWS dataset ([Zhang et al., 2019](https://aclanthology.org/N19-1131/)),
in the spirit of the PAWS-X effort ([Yang et al., 2019](https://aclanthology.org/D19-1382/)).
PAWS consist of sentence pairs that have high lexical overlap but that may or may not be paraphrases.
### Languages
* eu-ES
## Dataset Structure
### Data Fields
* `id` (str): A unique id for each pair.
* `sentence1` (str): The first sentence.
* `sentence2` (str): The second sentence.
* `label` (int): (noisy) label for each pair; `0` indicates that the pair has different meaning, while `1` indicates the pair is a paraphrase.
### Data Splits
| name |test|
|---------|---:|
| default |2000|
## Dataset Creation
This dataset is a professional translation of the English PAWS dataset into Basque, commissioned by HiTZ (UPV/EHU) within the ILENIA project.
For more information on how PAWS was created, please refer to their articles (see above).
## Additional Information
This work is funded by the Ministerio para la Transformación Digital y de la Función Pública - Funded by EU – NextGenerationEU within the framework of the [project ILENIA](https://proyectoilenia.es/) with reference 2022/TL22/00215335.
### Licensing Information
Original PAWS-X License:
> The dataset may be freely used for any purpose, although acknowledgement of Google LLC ("Google") as the data source would be appreciated. The dataset is provided "AS IS" without any warranty, express or implied. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.
### Citation Information
```
@inproceedings{baucells-etal-2025-iberobench,
title = "{I}bero{B}ench: A Benchmark for {LLM} Evaluation in {I}berian Languages",
author = "Baucells, Irene and
Aula-Blasco, Javier and
de-Dios-Flores, Iria and
Paniagua Su{\'a}rez, Silvia and
Perez, Naiara and
Salles, Anna and
Sotelo Docio, Susana and
Falc{\~a}o, J{\'u}lia and
Saiz, Jose Javier and
Sepulveda Torres, Robiert and
Barnes, Jeremy and
Gamallo, Pablo and
Gonzalez-Agirre, Aitor and
Rigau, German and
Villegas, Marta",
editor = "Rambow, Owen and
Wanner, Leo and
Apidianaki, Marianna and
Al-Khalifa, Hend and
Eugenio, Barbara Di and
Schockaert, Steven",
booktitle = "Proceedings of the 31st International Conference on Computational Linguistics",
month = jan,
year = "2025",
address = "Abu Dhabi, UAE",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.coling-main.699/",
pages = "10491--10519",
}
```
|