Create README.md

README.md

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+---
+YAML tags:
+
+annotations_creators:
+- expert-generated
+language_creators:
+- found
+language:
+- ca
+license:
+- cc-by-nc-nd-4.0
+multilinguality:
+- monolingual
+pretty_name: teca
+size_categories:
+- unknown
+source_datasets: []
+task_categories:
+- text-classification
+task_ids:
+- natural-language-inference
+
+---
+
+# Dataset Card for TE-ca
+
+
+## Dataset Description
+
+- **Website:** https://zenodo.org/record/4761458
+
+- **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:** [Carlos Rodríguez-Penagos](carlos.rodriguez1@bsc.es) and [Carme Armentano-Oller](carme.armentano@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/). 
+
+### 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>
+    
+    {
+        "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)