README.md

---
YAML tags:

annotations_creators:
- expert-generated
language_creators:
- found
language:
- ca
multilinguality:
- monolingual
pretty_name: teca
size_categories:
- unknown
source_datasets: []
task_categories:
- text-classification
task_ids:
- natural-language-inference

---

# Dataset Card for XNLI-ca


## Dataset Description

- **Website:** 

- **Paper:** 

- **Point of Contact:** 


### Dataset Summary

Professional translation into Catalan of The Cross-lingual Natural Language Inference ([XNLI dataset])(https://github.com/facebookresearch/XNLI).

XNLI is an evaluation corpus for language transfer and cross-lingual sentence classification in 15 languages. It is a crowd-sourced collection of 5,000 test and 2,500 dev pairs for the MultiNLI corpus. The pairs are annotated with textual entailment and translated into 14 languages: French, Spanish, German, Greek, Bulgarian, Russian, Turkish, Arabic, Vietnamese, Thai, Chinese, Hindi, Swahili and Urdu. This results in 112.5k annotated pairs. Each premise can be associated with the corresponding hypothesis in the 15 languages, summing up to more than 1.5M combinations.

### Supported Tasks and Leaderboards

Textual entailment, Text classification, Language Model

### Languages

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

## 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.

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).

#### Who are the source language producers?



### Annotations

#### Annotation process



#### Who are the annotators?

[N/A]

### Personal and Sensitive Information

No personal or sensitive information included.
  
## Considerations for Using the Data
The Cross-lingual Natural Language Inference (XNLI) corpus is a crowd-sourced collection of 5,000 test and 2,500 dev pairs for the MultiNLI corpus. The pairs are annotated with textual entailment and translated into 14 languages: French, Spanish, German, Greek, Bulgarian, Russian, Turkish, Arabic, Vietnamese, Thai, Chinese, Hindi, Swahili and Urdu. This results in 112.5k annotated pairs. Each premise can be associated with the corresponding hypothesis in the 15 languages, summing up to more than 1.5M combinations.
### 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 was funded by the [Departament de la Vicepresidència i de Polítiques Digitals i Territori de la Generalitat de Catalunya](https://politiquesdigitals.gencat.cat/ca/inici/index.html#googtrans(ca|en) within the framework of [Projecte AINA](https://politiquesdigitals.gencat.cat/ca/economia/catalonia-ai/aina).


### Licensing Information



### Citation Information

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