Update README.md

README.md

@@ -7,9 +7,11 @@ language:
 ## Dataset Description
 
 ### Dataset Summary
-InstruCat is a dataset consisting of 216826 instructions in Catalan.
 
-### Dataset contains data converted to instructions format from the following datasets:
+InstruCat is a dataset consisting of 216,826 instructions in Catalan.
+
+It contains data converted to instructions format from the following datasets:
+
 - caBreu : The instructions were created in form of summarization tasks. There are 2 types of summarization categories in the dataset: extreme and abstractive. The extreme one summarizes text into one sentence and the abstractive into shorter texts around 3-5 sentences.
 - CatalanQA : The instructions correspond to questions in CatalanQA.
 - CaWikiTC : The instructions were created in 2 different ways of text classification tasks with the distribution 70% - 30%. The first way is to define a category of a given text. The second way is to answer where a given text belongs to a certain category in a form of alternative question.
@@ -24,12 +26,12 @@ InstruCat is a dataset consisting of 216826 instructions in Catalan.
 - teca : The instructions were created in 2 different ways with the distribution 70% - 30%. The first way is in form of entailment generation tasks. The second way is to define whether one given text is an entailment of another given text. 
 - WikiCat : The instructions were created in 2 different ways of text classification tasks with the distribution 70% - 30%. The first way is to define a category of a given text. The second way is to answer where a given text belongs to a certain category in a form of alternative question.
 
-## Dataset Structure
 
-#### Data Splits
-- train.jsonl: 165100 instructions
-- validation.jsonl: 25351 instructions
-- test.jsonl: 26375 instructions
+### Languages
+
+This dataset is in Catalan (ca-ES). 
+
+## Dataset Structure
 
 ### Data Instances
 
@@ -62,5 +64,32 @@ An example of 'test' looks as follows:
 | extreme_summarization | 2999 | 1.38% |
 | entailment | 2117 | 0.97% |
 
-### Acknowledgments
-This work is funded by the Ministerio para la Transformación Digital y de la Función Pública - Funded by EU – NextGenerationEU within the framework of the [project ILENIA](https://proyectoilenia.es/) with reference 2022/TL22/00215337, 2022/TL22/00215336, 2022/TL22/00215335 y 2022/TL22/00215334 
+
+#### Data Splits
+- train.jsonl: 165100 instructions
+- validation.jsonl: 25351 instructions
+- test.jsonl: 26375 instructions
+
+
+## Additional Information
+
+### Dataset Curators
+
+Language Technologies Unit (langtech@bsc.es) at the Barcelona Supercomputing Center (BSC). 
+
+This work is funded by the Ministerio para la Transformación Digital y de la Función Pública - Funded by EU – NextGenerationEU within the framework of the [project ILENIA](https://proyectoilenia.es/) with reference 2022/TL22/00215337, 2022/TL22/00215336, 2022/TL22/00215335 y 2022/TL22/00215334 
+
+
+### Licensing Information
+
+InstruCAT contains data converted to instructions format from datasets with various licenses. 
+The whole work is licensed under the most restrictive license in the corpus, which is [Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International](https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es) license. Any use of all or part of the text gathered in CATalog must abide by the terms of the original licenses, including attribution clauses when relevant. We facilitate this by providing provenance information for each data point.
+
+
+### Citation Information
+
+[N/A]
+
+### Contributions
+
+[N/A]