Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
natural-language-inference
Languages:
Catalan
Size:
1K - 10K
ArXiv:
License:
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 | |
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/). | |
### Supported Tasks and Leaderboards | |
Textual entailment, Text classification, Language Model | |
### Languages | |
The dataset is in Catalan (`ca-CA`). | |
## Dataset Structure | |
### Data Instances | |
Three 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: 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. | |
{ | |
"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." | |
} | |
## 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 ([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 | |
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 | |
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