Update README.md

README.md

@@ -51,7 +51,7 @@ pretty_name: GonzaloA / Fake News
 ## Dataset Description
 
 - **Homepage:**
-- **Repository:** [GonzaloA / Fake_News_TFG Dataset repository]
+- **Repository:** [GonzaloA / fake_news]
 - **Paper:** [Título del TFG]
 - **Leaderboard:**
 - **Point of Contact:** [Gonzalo Álvarez Hervás](mailto:g.alvarez.2018@alumnos.urjc.es)
@@ -105,6 +105,7 @@ The GonzaloA/FakeNews dataset has 3 splits: train, evaluation, and test. Below a
 [More Information Needed]
 
 ### Source Data
+The source data is a mix of multiple fake_news datasets in Kaggle, a platform for train your skills and learnings about Artificial Intelligence. The main datasets who are based this dataset are: 
 
 #### Initial Data Collection and Normalization
 
@@ -129,6 +130,7 @@ Version 1.0.0 aimed to support supervised neural methodologies for deep learning
 [More Information Needed]
 
 ## Considerations for Using the Data
+This Dataset is compose for 3 types: Training phase, for training your model of NLP, validation phase, because we need to validate if the training was successful or our model has overfitting, and train phase, who count the probability and the mistakes in the model fine-tuning.
 
 ### Social Impact of Dataset