Update README.md

README.md

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 This repository contains the data and code used in the paper **Lost in Variation? Evaluating NLI Performance in Basque and Spanish Geographical Variants**
  
-This paper evaluates the capacity of current language technologies to understand Basque and Spanish language varieties. We use NLI as a pivot task and introduce a novel, manually-curated parallel dataset in Basque and Spanish and their corresponding variants. Empirical analysis of comprehensive crosslingual and in-context learning experiments with, respectively, encoder-only and decoder-based Large Language Models (LLMs), reveals a performance drop when processing linguistic variations, with more pronounced effects observed in Basque. Error analysis indicates that lexical overlap plays no role, suggesting that linguistic variation represents the primary reason for the lower results. All data and code in this repository are public under Attribution-NonCommercial 4.0 International license. 
+This paper evaluates the capacity of current language technologies to understand Basque and Spanish language varieties. We use Natural Language Inferenc (NLI) as a pivot task and introduce a novel, manually-curated parallel dataset in Basque and Spanish and their corresponding variants. Empirical analysis of comprehensive crosslingual and in-context learning experiments with, respectively, encoder-only and decoder-based Large Language Models (LLMs), reveals a performance drop when processing linguistic variations, with more pronounced effects observed in Basque. Error analysis indicates that lexical overlap plays no role, suggesting that linguistic variation represents the primary reason for the lower results. All data and code in this repository are public under Attribution-NonCommercial 4.0 International license. 
 
-## Data
+## Dataset decription
 
-It introduces XNLIvar, a novel, manually-curated, variation inclusive NLI datasets in Basque and Spanish for NLI evaluation. The [data](https://github.com/jaioneB/XNLIvar/tree/main/data) is structured in the following folders: 
+XNLIeu (the origin dataset for XNLIvar) has been derived from XNLI and it is distributed under its same license. 
+
+XNLIvar, a novel, manually-curated, variation inclusive NLI datasets in Basque and Spanish for NLI evaluation. The data is structured in the following folders: 
 
 - [eu](https://huggingface.co/datasets/HiTZ/XNLIvar/tree/main/eu): It provides the original XNLI test data, as well as the native and variation inclusive datasets.
 - [es](https://huggingface.co/datasets/HiTZ/XNLIvar/tree/main/es): It provides de original XNLI test data, as well as the Basque native data translated into Spanish and the variation inclusive data. 
@@ -82,6 +84,11 @@ It introduces XNLIvar, a novel, manually-curated, variation inclusive NLI datase
 
 
 
+## Useful links
+
+- [Github repository](https://github.com/hitz-zentroa/XNLIvar)
+- [Link to paper]()
+
 
 ## Citation
 The [paper]() that explains the dataset and experiments can be cited as follows: