Show simple item record

 
dc.contributor.author Klemen, Matej
dc.contributor.author Žagar, Aleš
dc.contributor.author Čibej, Jaka
dc.contributor.author Robnik-Šikonja, Marko
dc.date.accessioned 2022-11-13T10:01:36Z
dc.date.available 2022-11-13T10:01:36Z
dc.date.issued 2022-11-13
dc.identifier.uri http://hdl.handle.net/11356/1707
dc.description SI-NLI (Slovene Natural Language Inference Dataset) contains 5,937 human-created Slovene sentence pairs (premise and hypothesis) that are manually labeled with the labels "entailment", "contradiction", and "neutral". We created the dataset using sentences that appear in the Slovenian reference corpus ccKres (http://hdl.handle.net/11356/1034). Annotators were tasked to modify the hypothesis in a candidate pair in a way that reflects one of the labels. The dataset is balanced since the annotators created three modifications (entailment, contradiction, neutral) for each candidate sentence pair. The dataset is split into train, validation, and test sets, with sizes of 4,392, 547, and 998. We used Slovenian pre-trained language models to create splits, thereby ensuring that difficult and easy instances are evenly distributed in all three subsets. The dataset is released in a tabular TSV format. The README.txt file contains a description of the attributes. Only the hypothesis and premise are given in the test set (i.e. no annotations) since SI-NLI is integrated into the Slovene evaluation framework SloBENCH (https://slobench.cjvt.si/). If you use the dataset to train your models, please consider submitting the test set predictions to SloBENCH to get the evaluation score and see how it compares to others.
dc.language.iso slv
dc.publisher Faculty of Computer and Information Science, University of Ljubljana
dc.rights Creative Commons - Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.rights.uri https://creativecommons.org/licenses/by-nc-sa/4.0/
dc.rights.label PUB
dc.subject natural language inference
dc.title Slovene Natural Language Inference Dataset SI-NLI
dc.type corpus
metashare.ResourceInfo#ContentInfo.mediaType text
has.files yes
branding CLARIN.SI data & tools
contact.person Matej Klemen Matej.Klemen@fri.uni-lj.si Faculty of Computer and Information Science, University of Ljubljana
contact.person Aleš Žagar Ales.Zagar@fri.uni-lj.si Faculty of Computer and Information Science, University of Ljubljana
contact.person Jaka Čibej Jaka.Cibej@ff.uni-lj.si Faculty of Arts, University of Ljubljana
sponsor Jožef Stefan Institute CLARIN CLARIN.SI nationalFunds
size.info 5937 units
files.count 1
files.size 410093


 Files in this item

Icon
Name
SI-NLI.zip
Size
400.48 KB
Format
application/zip
Description
datasets and readme
MD5
149042e76545826b6f3cc5e44af683b7
 Download file  Preview
 File Preview  
  • SI-NLI
    • README.txt624 B
    • test.tsv199 kB
    • dev.tsv130 kB
    • train.tsv1 MB

Show simple item record