Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
natural-language-inference
Languages:
Catalan
Size:
1K - 10K
ArXiv:
License:
| 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] |