Datasets:

nbel
/

EsCoLA

@@ -4,19 +4,20 @@ language:
 - es
 pretty_name: 'EsCoLA: Spanish Corpus of Linguistic Acceptability'
 ---
-Introduction
 The Spanish Corpus of Linguistic Acceptability (EsCoLA) includes 11,174 sentences taken from linguistic literature with a binary annotation made by the original authors themselves. The work is inspired by CoLA: https://nyu-mll.github.io/CoLA/#
-Paper
 Núria Bel, Marta Punsola, Valle Ruiz-Fernández, 2024, EsCoLA: Spanish Corpus of Linguistic Acceptability. Joint International Conference on Computational Linguistics, Language Resources and Evaluation LREC-COLING 2024. Torino. Italy.
-Download
 The corpus has a CC-BY 4.0 license. Download EsCoLA inDomain train and dev datasets, plus human annotation, from https://github.com/nuriabel/LUTEST/ For EsCoLA outDomain dataset and EsCoLA inDomain test data, please contact [email protected].
-Data format
 EsCoLA dataset is split into two subsets: an in-domain subset (InDomain) with 10,567 sentences, and an out-of-domain subset (OutDomain) with 607 sentences.
 The in-domain subset has been split into train/dev/test sections:
@@ -52,16 +53,16 @@ Column 5: the sentence
 Column 6: the category of the linguistic phenomenon the sentence is an example of
-Processing
 During the gathering of the data and their processing, some sentences from the source documents may have been omitted or altered. We discarded examples marking dubious acceptability with "?" or other signs, but those examples that included acceptability alternations were taken by creating the two versions: the acceptable and the unacceptable sentence. Finally, the examples that were not full sentences, that is, that contain no main verb, were manually edited to add a neutral verb to convert them into sentences, while keeping the acceptability value.
-Sources
 InDomain: Demonte and Bosque (1999)
 OutDomain: RAE (2009), Palencia and Aragonés (2007) Díaz and Yagüe (2019)
-Annotation
 The dataset has been manually annotated with 14 linguistic phenomena.
@@ -86,7 +87,7 @@ The dataset has been manually annotated with 14 linguistic phenomena.
 14.5. Pronominal cliticization
 14.6. Ser/estar copula selection
-Citation
 Please, if you use the dataset cite the following papers:
@@ -94,6 +95,6 @@ Alex Warstadt, Amanpreet Singh, and Samuel R. Bowman. 2018. Neural network accep
 Núria Bel, Marta Punsola, Valle Ruiz-Fernández, 2024, EsCoLA: Spanish Corpus of Linguistic Acceptability. Proceedings of the Joint International Conference on Computational Linguistics, Language Resources and Evaluation LREC-COLING 2024. Torino. Italy.
-Disclaimer
 The dataset has been made by copying the examples from published works that are protected by copyright. According to Spanish law, we have respected the copyright because the number of elements taken represent less than a 10% of the whole work, and the number of items copied is justified by the aims of research.

 - es
 pretty_name: 'EsCoLA: Spanish Corpus of Linguistic Acceptability'
 ---
+## Introduction
 The Spanish Corpus of Linguistic Acceptability (EsCoLA) includes 11,174 sentences taken from linguistic literature with a binary annotation made by the original authors themselves. The work is inspired by CoLA: https://nyu-mll.github.io/CoLA/#
+# Paper
 Núria Bel, Marta Punsola, Valle Ruiz-Fernández, 2024, EsCoLA: Spanish Corpus of Linguistic Acceptability. Joint International Conference on Computational Linguistics, Language Resources and Evaluation LREC-COLING 2024. Torino. Italy.
+# Download
 The corpus has a CC-BY 4.0 license. Download EsCoLA inDomain train and dev datasets, plus human annotation, from https://github.com/nuriabel/LUTEST/ For EsCoLA outDomain dataset and EsCoLA inDomain test data, please contact [email protected].
+# Data format
 EsCoLA dataset is split into two subsets: an in-domain subset (InDomain) with 10,567 sentences, and an out-of-domain subset (OutDomain) with 607 sentences.
 The in-domain subset has been split into train/dev/test sections:
 Column 6: the category of the linguistic phenomenon the sentence is an example of
+# Processing
 During the gathering of the data and their processing, some sentences from the source documents may have been omitted or altered. We discarded examples marking dubious acceptability with "?" or other signs, but those examples that included acceptability alternations were taken by creating the two versions: the acceptable and the unacceptable sentence. Finally, the examples that were not full sentences, that is, that contain no main verb, were manually edited to add a neutral verb to convert them into sentences, while keeping the acceptability value.
+# Sources
 InDomain: Demonte and Bosque (1999)
 OutDomain: RAE (2009), Palencia and Aragonés (2007) Díaz and Yagüe (2019)
+# Annotation
 The dataset has been manually annotated with 14 linguistic phenomena.
 14.5. Pronominal cliticization
 14.6. Ser/estar copula selection
+# Citation
 Please, if you use the dataset cite the following papers:
 Núria Bel, Marta Punsola, Valle Ruiz-Fernández, 2024, EsCoLA: Spanish Corpus of Linguistic Acceptability. Proceedings of the Joint International Conference on Computational Linguistics, Language Resources and Evaluation LREC-COLING 2024. Torino. Italy.
+# Disclaimer
 The dataset has been made by copying the examples from published works that are protected by copyright. According to Spanish law, we have respected the copyright because the number of elements taken represent less than a 10% of the whole work, and the number of items copied is justified by the aims of research.