README.md

---
annotations_creators:
- professional translators
language:
- ca
license:
- cc-by-nc-4.0
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets: []
task_categories:
- text-classification
task_ids:
- natural-language-inference
pretty_name: xnli-ca
dataset_info:
  features:
  - name: label
    dtype: int64
    class_label:
      names:
        '0': entailment
        '1': neutral
        '2': contradiction
  - name: premise
    dtype: string
  - name: hypothesis
    dtype: string
  splits:
  - name: test
    num_bytes: 951304
    num_examples: 5010
  - name: validation
    num_bytes: 473517
    num_examples: 2490
  download_size: 1009219
  dataset_size: 1424821
configs:
- config_name: default
  data_files:
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
---

# Dataset Card for XNLI-ca

## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Example](#example)
  - [Data Fields](#data-fields)
  - [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
  - [Curation Rationale](#curation-rationale)
  - [Source Data](#source-data)
  - [Annotations](#annotations)
  - [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
  - [Social Impact of Dataset](#social-impact-of-dataset)
  - [Discussion of Biases](#discussion-of-biases)
  - [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
  - [Dataset Curators](#dataset-curators)
  - [Licensing Information](#licensing-information)
  - [Citation Information](#citation-information)
  - [Contributions](#contributions)


## Dataset Description

- **Website:** https://zenodo.org/record/7973976
- **Point of Contact:** [email protected]


### Dataset Summary

Professional translation into Catalan of the Cross-lingual Natural Language Inference [XNLI dataset](https://github.com/facebookresearch/XNLI), an evaluation corpus for language transfer and cross-lingual sentence classification.

XNLI-ca is a collection of 7,500 sentence pairs annotated with textual entailment. 

XNLI is restricted to only non-commercial research purposes under the [Creative Commons Attribution Non-commercial 4.0 International Public License](https://creativecommons.org/licenses/by-nc/4.0/).

### Supported Tasks and Leaderboards

Textual entailment, Text classification, Language Model

### Languages

The dataset is in Catalan (`ca-ES`).

## Dataset Structure

### Data Instances

Two JSON files, one for each split.

### Example:

<pre>
    
   {
    "label": "contradiction",
    "premise": "Bé, ni tan sols estava pensant en això, però estava molt frustrat i vaig acabar tornant a parlar amb ell.",
    "hypothesis": "No he tornat a parlar amb ell."
  },
  {
    "label": "entailment",
    "premise": "Bé, ni tan sols estava pensant en això, però estava molt frustrat i vaig acabar tornant a parlar amb ell.",
    "hypothesis": "Estava tan molest que vaig començar a parlar amb ell de nou."
  },
  {
    "label": "neutral",
    "premise": "Bé, ni tan sols estava pensant en això, però estava molt frustrat i vaig acabar tornant a parlar amb ell.",
    "hypothesis": "Vam tenir una gran xerrada."
  }
  
</pre>

### Data Fields

- premise: text
- hypothesis: text related to the premise
- label: relation between premise and hypothesis:
    * 0: entailment
    * 1: neutral
    * 2: contradiction
    
### Data Splits

* dev.json: 2490 examples
* test.json: 5010 examples

## Dataset Creation

### Curation Rationale

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

### Source Data

[XNLI](https://github.com/facebookresearch/XNLI).

#### Initial Data Collection and Normalization

This dataset is a professional translation of XNLI into Catalan, commissioned by BSC LangTech Unit within Projecte AINA.


#### Who are the source language producers?

For more information on how XNLI was created, refer to the paper [XNLI: Evaluating Cross-lingual Sentence Representations](https://arxiv.org/abs/1809.05053), or 
visit the [XNLI's webpage](https://github.com/facebookresearch/XNLI).


### Annotations

#### Annotation process

[N/A]

#### Who are the annotators?

This is a professional translation of the XNLI corpus 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 ([email protected])

This work has been promoted and financed by the Generalitat de Catalunya through the [Aina project](https://projecteaina.cat/).

### Licensing Information

XNLI is restricted to only non-commercial research purposes under the [Creative Commons Attribution Non-commercial 4.0 International Public License](https://creativecommons.org/licenses/by-nc/4.0/).


### 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",
}
```

[DOI](https://doi.org/10.5281/zenodo.7973976)

### Contributions

[N/A]