Dataset Card for PAWS-ca: Paraphrase Adversaries from Word Scrambling in Catalan

Dataset Summary

The PAWS-ca dataset (Paraphrase Adversaries from Word Scrambling in Catalan) is a translation of the English PAWS dataset into Catalan, commissioned by BSC LangTech Unit.

The dataset contains 4,000 human translated PAWS pairs and 49,000 machine translated pairs.

Supported Tasks and Leaderboards

Paraphrase Identification, Language Model

Languages

The dataset is in Catalan (ca-ES).

Dataset Structure

Data Instances

Three JSON files, one for each split.

Example:

    
   {
       "id": 38
       "sentence1": Holly estava influenciat musicalment per Elton John.
       "sentence2": Holly Holly va ser influenciada musicalment per Elton John.
       "label": 1
    }
        
    {
        "id":
        "sentence1": L’equip va respondre als canvis en el següent partit el mateix vespre del 19 de febrer.
        "sentence2": L'equip va respondre als canvis en el mateix partit d’aquell següent 19 de febrer al vespre.
        "label": 0
     }
      

Data Fields

• id: An ID that matches the ID of the source pair of the English PAWS dataset
• sentence1: The first sentence
• sentence2: The second sentence
• label: Label for each pair

Data Splits

• paws-ca.train.jsonl: 49,401 examples
• paws-ca.val.jsonl: 2,000 examples
• paws-ca.test.jsonl: 2,000 examples

Caveat: please note that the dev and test sets of PAWS-X are both sourced from the dev set of PAWS-Wiki. As a consequence, the same sentence 1 may appear in both the dev and test sets. Nevertheless our data split guarantees that there is no overlap on sentence pairs (sentence 1 + sentence 2) between dev and test.

Dataset Creation

Curation Rationale

We created this dataset to contribute to the development of language models in Catalan, a low-resource language.

Source Data

PAWS (Paraphrase Adversaries from Word Scrambling)

Initial Data Collection and Normalization

This dataset is a translation the English PAWS dataset into Catalan, commissioned by BSC LangTech Unit within Projecte AINA.

Who are the source language producers?

For more information on how PAWS was created, refer to the paper (), or visit the PAWS's webpage.

Annotations

Annotation process

[N/A]

Who are the annotators?

This is a translation of the English PAWS dataset and its annotations.

Personal and Sensitive Information

No personal or sensitive information included.

Considerations for Using the Data

Social Impact of Dataset

We hope this dataset contributes to the development of language models in Catalan, a low-resource language.

Discussion of Biases

[N/A]

Other Known Limitations

[N/A]

Additional Information

Dataset Curators

Language Technologies Unit at the Barcelona Supercomputing Center (langtech@bsc.es)

This work has been promoted and financed by the Generalitat de Catalunya through the Aina project.

Licensing Information

Original PAWS-X License:

The dataset may be freely used for any purpose, with acknowledgment of Google LLC as the data source being 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.

PAWS-ca:

Creative Commons Attribution 4.0 International.

Citation Information

@inproceedings{gonzalez-agirre-etal-2024-building-data,
    title = "Building a Data Infrastructure for a Mid-Resource Language: The Case of {C}atalan",
    author = "Gonzalez-Agirre, Aitor  and
      Marimon, Montserrat  and
      Rodriguez-Penagos, Carlos  and
      Aula-Blasco, Javier  and
      Baucells, Irene  and
      Armentano-Oller, Carme  and
      Palomar-Giner, Jorge  and
      Kulebi, Baybars  and
      Villegas, Marta",
    editor = "Calzolari, Nicoletta  and
      Kan, Min-Yen  and
      Hoste, Veronique  and
      Lenci, Alessandro  and
      Sakti, Sakriani  and
      Xue, Nianwen",
    booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)",
    month = may,
    year = "2024",
    address = "Torino, Italia",
    publisher = "ELRA and ICCL",
    url = "https://aclanthology.org/2024.lrec-main.231",
    pages = "2556--2566",
}

Contributions

[N/A]