Update README.md

README.md

@@ -1,9 +1,3 @@
----
-datasets:
-- Hailay/TigQA
-language:
-- ti
----
 datasets:
 - Hailay/TigQA
 language:
@@ -24,7 +18,7 @@ To use the trained Word2Vec model, follow these steps:
 1. Clone this repository to your local machine.
 2. Install the required dependencies (`spacy`, `gensim`).
 3. Load the model using the provided Python code.
-4. Use the model to generate word embeddings for Geez script Tigrinya text.
+4. Use the model to generate Geez script Tigrinya text word embeddings.
 
 Example usage:
 
@@ -45,7 +39,7 @@ print(f"Words similar to 'ሰብ': {similar_words}")
 Dataset Source
  
 The TIGQA dataset for training this model contains text data in the Geez script of the Tigrinya language.
-It is a publicly available dataset widely used for research and development of NLP models for the Tigrinya language.
+It is a publicly available dataset as part of an NLP resource for low-resource languages for research and development.
 
 For more information about the TIGQA dataset, visit this link. https://zenodo.org/records/11423987