Datasets:

Sub-tasks:
extractive-qa
Languages:
Catalan
Multilinguality:
monolingual
Size Categories:
1K<n<10K
Language Creators:
found
Annotations Creators:
expert-generated
Source Datasets:
original
ArXiv:
License:
mmarimon commited on
Commit
bd3b952
1 Parent(s): df7df6b

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +3 -4
README.md CHANGED
@@ -20,7 +20,7 @@ task_ids:
20
  - extractive-qa
21
  ---
22
 
23
- # VilaQuAD, An extractive QA dataset for Catalan, from VilaWeb newswire text
24
 
25
  ## Table of Contents
26
  - [Table of Contents](#table-of-contents)
@@ -114,7 +114,6 @@ Follows [Rajpurkar, Pranav et al., 2016](http://arxiv.org/abs/1606.05250) for SQ
114
 
115
  We created this corpus to contribute to the development of language models in Catalan, a low-resource language.
116
 
117
- For compatibility with similar datasets in other languages, we followed as close as possible existing curation guidelines. We also created [another QA dataset with wikipedia](https://huggingface.co/datasets/projecte-aina/viquiquad) to ensure thematic and stylistic variety.
118
 
119
  ### Source Data
120
 
@@ -126,7 +125,7 @@ The source data are scraped articles from archives of Catalan newspaper website
126
 
127
  From a the online edition of the 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.
128
 
129
- For compatibility with similar datasets in other languages, we followed as close as possible existing curation guidelines.
130
 
131
  #### Who are the source language producers?
132
 
@@ -166,7 +165,7 @@ We hope this dataset contributes to the development of language models in Catala
166
 
167
  Carlos Rodríguez-Penagos (carlos.rodriguez1@bsc.es) and Carme Armentano-Oller (carme.armentano@bsc.es) from [BSC-CNS](https://www.bsc.es/).
168
 
169
- 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/en/inici/index.html) within the framework of the [Projecte AINA](https://politiquesdigitals.gencat.cat/ca/economia/catalonia-ai/aina/).
170
 
171
  ### Licensing Information
172
 
20
  - extractive-qa
21
  ---
22
 
23
+ # Dataset Card for VilaQuAD
24
 
25
  ## Table of Contents
26
  - [Table of Contents](#table-of-contents)
114
 
115
  We created this corpus to contribute to the development of language models in Catalan, a low-resource language.
116
 
 
117
 
118
  ### Source Data
119
 
125
 
126
  From a the online edition of the 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.
127
 
128
+ For compatibility with similar datasets in other languages, we followed as close as possible existing curation guidelines. We also created [another QA dataset with wikipedia](https://huggingface.co/datasets/projecte-aina/viquiquad) to ensure thematic and stylistic variety.
129
 
130
  #### Who are the source language producers?
131
 
165
 
166
  Carlos Rodríguez-Penagos (carlos.rodriguez1@bsc.es) and Carme Armentano-Oller (carme.armentano@bsc.es) from [BSC-CNS](https://www.bsc.es/).
167
 
168
+ 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/en/inici/index.html) within the framework of [Projecte AINA](https://politiquesdigitals.gencat.cat/ca/economia/catalonia-ai/aina/).
169
 
170
  ### Licensing Information
171