Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
natural-language-inference
Languages:
Catalan
Size:
10K - 100K
ArXiv:
License:
| annotations_creators: | |
| - expert-generated | |
| language_creators: | |
| - found | |
| language: | |
| - ca | |
| license: | |
| - cc-by-nc-nd-4.0 | |
| multilinguality: | |
| - monolingual | |
| size_categories: | |
| - unknown | |
| source_datasets: [] | |
| task_categories: | |
| - text-classification | |
| task_ids: | |
| - natural-language-inference | |
| pretty_name: teca | |
| dataset_info: | |
| features: | |
| - name: version | |
| dtype: string | |
| - name: data | |
| list: | |
| - name: id | |
| dtype: string | |
| - name: premise | |
| dtype: string | |
| - name: hypothesis | |
| dtype: string | |
| - name: label | |
| dtype: int64 | |
| splits: | |
| - name: train | |
| num_bytes: 3235471 | |
| num_examples: 1 | |
| - name: validation | |
| num_bytes: 405393 | |
| num_examples: 1 | |
| - name: test | |
| num_bytes: 401094 | |
| num_examples: 1 | |
| download_size: 2027427 | |
| dataset_size: 4041958 | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: data/train-* | |
| - split: validation | |
| path: data/validation-* | |
| - split: test | |
| path: data/test-* | |
| # Dataset Card for TE-ca | |
| ## Dataset Description | |
| - **Website:** https://zenodo.org/record/4761458 | |
| - **Repository** [HuggingFace](https://huggingface.co/projecte-aina) | |
| - **Paper:** [Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? A Comprehensive Assessment for Catalan](https://arxiv.org/abs/2107.07903) | |
| - **Point of Contact:** [Language Technologies Unit](langtech@bsc.es) | |
| ### Dataset Summary | |
| TE-ca is a dataset of textual entailment in Catalan, which contains 21,163 pairs of premises and hypotheses, annotated according to the inference relation they have (implication, contradiction or neutral). | |
| This dataset was developed by [BSC TeMU](https://temu.bsc.es/) as part of [Projecte AINA](https://politiquesdigitals.gencat.cat/ca/economia/catalonia-ai/aina/), to enrich the [Catalan Language Understanding Benchmark (CLUB)](https://club.aina.bsc.es/). | |
| 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>. | |
| ### Supported Tasks and Leaderboards | |
| Textual entailment, Text classification, Language Model | |
| ### Languages | |
| The dataset is in Catalan (`ca-ES`). | |
| ## Dataset Structure | |
| ### Data Instances | |
| Three JSON files, one for each split. | |
| ### Example: | |
| <pre> | |
| { | |
| "id": 3247, | |
| "premise": "L'ONU adopta a Marràqueix un pacte no vinculant per les migracions", | |
| "hypothesis": "S'acorden unes recomanacions per les persones migrades a Marràqueix", | |
| "label": "0" | |
| }, | |
| { | |
| "id": 2825, | |
| "premise": "L'ONU adopta a Marràqueix un pacte no vinculant per les migracions", | |
| "hypothesis": "Les persones migrades seran acollides a Marràqueix", | |
| "label": "1" | |
| }, | |
| { | |
| "id": 2431, | |
| "premise": "L'ONU adopta a Marràqueix un pacte no vinculant per les migracions", | |
| "hypothesis": "L'acord impulsat per l'ONU lluny de tancar-se", | |
| "label": "2" | |
| }, | |
| </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: 2116 examples | |
| * test.json: 2117 examples | |
| * train.json: 16930 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 | |
| Source sentences are extracted from the [Catalan Textual Corpus](https://doi.org/10.5281/zenodo.4519349) and from [VilaWeb](https://www.vilaweb.cat) newswire. | |
| #### Initial Data Collection and Normalization | |
| 12000 sentences from the BSC [Catalan Textual Corpus](https://doi.org/10.5281/zenodo.4519349), together with 6200 headers from the Catalan news site [VilaWeb](https://www.vilaweb.cat), were chosen randomly. We filtered them by different criteria, such as length and stand-alone intelligibility. For each selected text, we commissioned 3 hypotheses (one for each entailment category) to be written by a team of native annotators. | |
| Some sentence pairs were excluded because of inconsistencies. | |
| #### Who are the source language producers? | |
| The Catalan Textual Corpus corpus consists of several corpora gathered from web crawling and public corpora. More information can be found [here](https://doi.org/10.5281/zenodo.4519349). | |
| [VilaWeb](https://www.vilaweb.cat) is a Catalan newswire. | |
| ### Annotations | |
| #### Annotation process | |
| We commissioned 3 hypotheses (one for each entailment category) to be written by a team of annotators. | |
| #### Who are the annotators? | |
| Annotators are a team of native language collaborators from two independent companies. | |
| ### 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 | |
| Text Mining Unit (TeMU) at the Barcelona Supercomputing Center (bsc-temu@bsc.es) | |
| 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 | |
| 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>. | |
| ### Citation Information | |
| ``` | |
| @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", | |
| } | |
| ``` | |
| [DOI](https://doi.org/10.5281/zenodo.4529183) | |