Update README.md

README.md

@@ -1,68 +1,41 @@
 ---
-
+annotations_creators:
+- expert-generated
+language_creators:
+- found
 languages:
-
-- ca
-
+- catalan
+licenses:
+- cc-by-sa-4.0
+multilinguality:
+- monolingual
+pretty_name: vilaquad
+size_categories:
+- unknown
+source_datasets: []
+task_categories:
+- question-answering
+task_ids:
+- extractive-qa
 ---
 
 # VilaQuAD, An extractive QA dataset for catalan, from Vilaweb newswire text
 
-## 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",
+## Dataset Description
 
-    address = "Online",
+- **Paper:** [Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? A Comprehensive Assessment for Catalan](https://arxiv.org/abs/2107.07903)
 
-    publisher = "Association for Computational Linguistics",
+- **Point of Contact:** Carlos Rodríguez-Penagos (carlos.rodriguez1@bsc.es) and Carme Armentano-Oller (carme.armentano@bsc.es)
 
-    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
-
-https://doi.org/10.5281/zenodo.4562337
+### Dataset Summary
 
+This dataset contains 2095 of Catalan language news articles along with 1 to 5 questions referring to each fragment (or context).
 
-## Introduction
+VilaQuad articles are extracted from the daily Vilaweb (www.vilaweb.cat) and used under [CC-by-nc-sa-nd](https://creativecommons.org/licenses/by-nc-nd/3.0/deed.ca) licence. 
 
-This dataset contains 2095 of Catalan language news articles along with 1 to 5 questions referring to each fragment (or context).
-VilaQuad articles are extracted from the daily Vilaweb (www.vilaweb.cat) and used under CC-by-nc-sa-nd (https://creativecommons.org/licenses/by-nc-nd/3.0/deed.ca) licence. 
 This dataset can be used to build extractive-QA and Language Models.
 
 ### Supported Tasks and Leaderboards
@@ -71,28 +44,14 @@ Extractive-QA, Language Model
 
 ### Languages
 
-CA- Catalan
-
-### Directory structure
-
-* README.md
-* dev.json
-* test.json
-* train.json
-* vilaquad.py
+CA - Catalan
 
 ## Dataset Structure
 
 ### Data Instances
 
-Three json files
-
-### Data Fields
-
-Follows ((Rajpurkar, Pranav et al., 2016) for squad v1 datasets. (see below for full reference)
-
-### Example:
 <pre>
+
 {
   "data": [
     {
@@ -101,7 +60,6 @@ Follows ((Rajpurkar, Pranav et al., 2016) for squad v1 datasets. (see below for
         {
           "context": "Hi ha moltes propostes per a acomiadar-se d'aquest 2019. Els uns es queden a casa, els altres volen anar lluny o sortir al teatre. També s'organitzen festes o festivals a l'engròs, fins i tot hi ha propostes diürnes. Tot és possible per Cap d'Any. Encara no sabeu com celebrar l'entrada el 2020? Us oferim una llista amb deu propostes variades arreu dels Països Catalans: Festivern El Festivern enguany celebra quinze anys.",
           "qas": [
-            
             {
               "answers": [
                 {
@@ -122,58 +80,23 @@ Follows ((Rajpurkar, Pranav et al., 2016) for squad v1 datasets. (see below for
 } 
 
 </pre>
+### Data Fields
 
-### Data Splits
-
-train.json: 1295 contexts, 3882 questions
-dev.json: 400 contexts, 1200 questions
-test.json: 400 contexts, 1200 questions
-
-## Content analysis
-
-### Number of articles, paragraphs and questions
-
-* Number of contexts: 2095
-* Number of questions: 6282
-* Questions/context: 2.99
-* Number of sentences in contexts: 11901
-* Sentences/context: 5.6
-
-### Number of tokens
-
-* tokens in context: 422477
-* tokens/context 201.66
-* tokens in questons: 65849
-* tokens/questions: 10.48
-* tokens in answers: 27716
-* tokens/answers: 4.41
-
-### Question type 
+Follows [Rajpurkar, Pranav et al., 2016](http://arxiv.org/abs/1606.05250) for squad v1 datasets.
 
-| Question | Count | % |
-|--------|-----|------|
-| què | 1698 | 27.03 % |
-| qui | 1161 | 18.48 % |
-| com |  574 | 9.14 % |
-| quan |  468  | 7.45 % |
-| on |  559 | 8.9 % |
-| quant |  601 | 9.57 % |
-| quin |  1301 | 20.87 % |
-| no question mark | 0 | 0.0 % |
+### Data Splits
 
+- train.json: 1295 contexts, 3882 questions
 
-### Question-answer relationships
+- dev.json: 400 contexts, 1200 questions
 
-From 100 randomly selected samples:
+- test.json: 400 contexts, 1200 questions
 
-* Lexical variation: 32.0%
-* World knowledge: 16.0%
-* Syntactic variation: 22.0%
-* Multiple sentence: 16.0%
 
 ## Dataset Creation
 
 ### Methodology
+
 From a the online edition of the catalan newspaper Vilaweb (https://www.vilaweb.cat), 2095 articles were randomnly selected. These headlines were also used to create a Textual Entailment dataset. For the extractive QA dataset, creation of between 1 and 5 questions for each news context was commissioned, following an adaptation of the guidelines from SQUAD 1.0 (Rajpurkar, Pranav et al. “SQuAD: 100, 000+ Questions for Machine Comprehension of Text.” EMNLP (2016)), http://arxiv.org/abs/1606.05250. In total, 6282 pairs of a question and an extracted fragment that contains the answer were created.
 
 ### Curation Rationale
@@ -186,7 +109,7 @@ For compatibility with similar datasets in other languages, we followed as close
 
 #### Initial Data Collection and Normalization
 
-The source data are scraped articles from archives of Catalan newspaper website Vilaweb (https://www.vilaweb.cat). 
+The source data are scraped articles from archives of Catalan newspaper website [Vilaweb](https://www.vilaweb.cat). 
 
 #### Who are the source language producers?
 
@@ -196,16 +119,12 @@ The source data are scraped articles from archives of Catalan newspaper website
 
 #### Annotation process
 
-We comissioned the creation of 1 to 5 questions for each context, following an adaptation of the guidelines from SQUAD 1.0 (Rajpurkar, Pranav et al. “SQuAD: 100, 000+ Questions for Machine Comprehension of Text.” EMNLP (2016)), http://arxiv.org/abs/1606.05250.
+We comissioned the creation of 1 to 5 questions for each context, following an adaptation of the guidelines from SQUAD 1.0 ([Rajpurkar, Pranav et al. “SQuAD: 100, 000+ Questions for Machine Comprehension of Text.” EMNLP (2016)](http://arxiv.org/abs/1606.05250)).
 
 #### Who are the annotators?
 
 Annotation was commissioned to an specialized company that hired a team of native language speakers.
 
-### Dataset Curators
-
-Carlos Rodríguez and Carme Armentano, from BSC-CNS
-
 ### Personal and Sensitive Information
 
 No personal or sensitive information included.
@@ -224,13 +143,43 @@ No personal or sensitive information included.
 
 [More Information Needed]
 
+## Additional Information
 
-## Contact
+### Dataset Curators
 
 Carlos Rodríguez-Penagos (carlos.rodriguez1@bsc.es) and Carme Armentano-Oller (carme.armentano@bsc.es)
 
+### Licensing Information
+
+This work is licensed under a <a rel="license" href="https://creativecommons.org/licenses/by-sa/4.0/">Attribution-ShareAlike 4.0 International License</a>.
+
+### Citation Information
+
+
 
-## License
+```
+
+@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",
+}
+
+```
 
-<a rel="license" href="https://creativecommons.org/licenses/by-sa/4.0/"><img alt="Attribution-ShareAlike 4.0 International License" style="border-width:0" src="https://i.creativecommons.org/l/by/4.0/88x31.png" /></a><br />This work is licensed under a <a rel="license" href="https://creativecommons.org/licenses/by-sa/4.0/">Attribution-ShareAlike 4.0 International License</a>.
+[DOI](https://doi.org/10.5281/zenodo.4562337)