README.md

---
languages:
- ca
---
# TECA: Textual Entailment Catalan dataset

## BibTeX  citation

If you use any of these resources (datasets or models) in your work, please cite our latest paper:

```bibtex
@inproceedings{armengol-estape-etal-2021-multilingual,
    title = "Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? {A} Comprehensive Assessment for {C}atalan",
    author = "Armengol-Estap{\'e}, Jordi  and
      Carrino, Casimiro Pio  and
      Rodriguez-Penagos, Carlos  and
      de Gibert Bonet, Ona  and
      Armentano-Oller, Carme  and
      Gonzalez-Agirre, Aitor  and
      Melero, Maite  and
      Villegas, Marta",
    booktitle = "Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021",
    month = aug,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.findings-acl.437",
    doi = "10.18653/v1/2021.findings-acl.437",
    pages = "4933--4946",
}
```


## Digital Object Identifier (DOI) and access to dataset files

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.4761458.svg)](https://doi.org/10.5281/zenodo.4761458)


## Introduction

TECA consists of two subsets of textual entailment in Catalan, *catalan_TE1* and *vilaweb_TE*, which contain 14997 and 6166 pairs of premises and hypotheses, annotated according to the inference relation they have (implication, contradiction or neutral).

This dataset was developed by BSC TeMU as part of the AINA project and intended as part of the Catalan Language Understanding Benchmark (CLUB). It is part of the Catalan Language Understanding Benchmark (CLUB) as presented in: 

Armengol-Estapé J., Carrino CP., Rodriguez-Penagos C., de Gibert Bonet O., Armentano-Oller C., Gonzalez-Agirre A., Melero M., and Villegas M., Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? A Comprehensive Assessment for Catalan". Findings of ACL 2021 (ACL-IJCNLP 2021).


### Supported Tasks and Leaderboards

Text classification, Language Model

###  Languages

CA-  Catalan

###  Directory structure

* **.gitattributes**
* **README.md**
* **dev.json** - json-formatted file with the dev split of the dataset
* **teca.py** - data loader script
* **test.json** - json-formatted file with the test split of the dataset
* **train.json** - json-formatted file with the train split of the dataset

## Dataset Structure

### Data Instances

Two JSON files, one for each subset.

### Example:

<pre>
{
"id": 6940,
"premise": "Podriem posar uns bons filtres a les xemeneies de les quimiques per tal de que poguin seguint havent"hypothesis": "Caldria eliminar tots els filtres de les xemeneies de les qu\u00edmiques.",
"label": "2"
}
</pre>

### Number of sentence pairs
* catalan_TE1: 14,997
* vilaweb_TE: 6,166 

## Dataset Creation

### Methodology

catalan_TE1: 12000 sentences were chosen randomly from the BSC Catalan Textual Corpus, and filtered by different criteria, such as length and
stand-alone intelligibility. From 6000 text sentences, we commissioned 3 hypotheses (one for each entailment category) to be written by a team of
annotators. 

vilaweb_TE: We randomly selected 6200 headers from the Catalan news site Vilaweb and filtered them to obtain 2100 text sentences. For each
text, 3 hypotheses were likewise commissioned. 

### Curation Rationale

In both sub-datasets, some sentence pairs were excluded because of inconsistencies. 

### Source Data

#### Initial Data Collection and Normalization

Source sentences are extracted from the [Catalan Textual Corpus](https://doi.org/10.5281/zenodo.4519349), and from Vilaweb newswire.

## Annotations

#### Inter-annotator agreement:

From 600 randomly selected samples, the inter-annotator agreement was 83,57%.

### Dataset Curators

Casimiro Pio Carrino, Carlos Rodríguez and Carme Armentano, from BSC-CNS.

### Personal and Sensitive Information

No personal or sensitive information is included.

## Contact

- Carlos Rodríguez-Penagos ([email protected])
- Carme Armentano-Oller ([email protected])

## License

<a rel="license" href="https://creativecommons.org/licenses/by-nc-nd/4.0/"><img alt="Attribution-NonCommercial-NoDerivatives 4.0 International License" style="border-width:0" src="http://d2klr1ixr44jla.cloudfront.net/306/125/0.5-0.5/assets/images/55132bfeb13b7b027c000041.png" width="100"/></a><br />This work is licensed under an <a rel="license" href="https://creativecommons.org/licenses/by-nc-nd/4.0/">Attribution-NonCommercial-NoDerivatives 4.0 International License</a>.