Update README.md

README.md

@@ -1,7 +1,7 @@
 ---
 language:
 - es
-license: apache-2.0
+license: cc-by-nc-sa-4.0
 multilinguality:
 - monolingual
 size_categories:
@@ -41,9 +41,9 @@ tags:
     <img src="https://huggingface.co/datasets/Iker/NoticIA/resolve/main/assets/logo.png" style="height: 250px;">
 </p>
 
-<h3 align="center">"A Spanish dataset for Clickbait articles summarization"</h3>
+<h3 align="center">"A Clickbait Article Summarization Dataset in Spanish."</h3>
 
-This repository contains the manual annotations from a second human in order to validate the test set of the NoticIA dataset. 
+This repository contains the manual annotations from a second human to validate the test set of the NoticIA dataset. 
 
 The full NoticIA dataset is available here: [https://huggingface.co/datasets/Iker/NoticIA](https://huggingface.co/datasets/Iker/NoticIA)
 
@@ -84,13 +84,15 @@ This dataset is intended to build models tailored for academic research that can
 # Out-of-Scope Use
 You cannot use this dataset to develop systems that directly harm the newspapers included in the dataset. This includes using the dataset to train profit-oriented LLMs capable of generating articles from a short text or headline, as well as developing profit-oriented bots that automatically summarize articles without the permission of the article's owner. Additionally, you are not permitted to train a system with this dataset that generates clickbait headlines.
 
+This dataset contains text and headlines from newspapers; therefore, you cannot use it for commercial purposes unless you have the license for the data.
+
 # Dataset Creation
 The dataset has been meticulously created by hand. We utilize two sources to compile Clickbait articles:
 - The Twitter user [@ahorrandoclick1](https://twitter.com/ahorrandoclick1), who reposts Clickbait articles along with a hand-crafted summary. Although we use their summaries as a reference, most of them have been rewritten (750 examples from this source).
 - The web demo [⚔️ClickbaitFighter⚔️](https://iker-clickbaitfighter.hf.space/), which operates a pre-trained model using an early iteration of our dataset. We collect all the model inputs/outputs and manually correct them (100 examples from this source).
 
 # Who are the annotators?
-The dataset was originaly by [Iker García-Ferrero](https://ikergarcia1996.github.io/Iker-Garcia-Ferrero/) and has been validated by [Begoña Altura](https://www.linkedin.com/in/bego%C3%B1a-altuna-78014139).
+The dataset was originally by [Iker García-Ferrero](https://ikergarcia1996.github.io/Iker-Garcia-Ferrero/) and has been validated by [Begoña Altura](https://www.linkedin.com/in/bego%C3%B1a-altuna-78014139).
 The annotation took ~40 hours.