Updated Readme.md

README.md

@@ -1,3 +1,19 @@
+---
+language:
+  - "en"
+pretty_name: "MultiSource-ESCO-Skills: A Unified Dataset for Skill Extraction"
+tags:
+  - nlp
+  - esco
+  - skills
+  - text-extraction
+  - dataset
+license: "cc0-1.0"
+task_categories:
+  - text-classification
+  - sentence-similarity
+---
+
 # MultiSource-ESCO-Skills: A Unified Dataset for Skill Extraction
 
 This dataset aggregates data from multiple sources—course descriptions, CV content, and job descriptions—all linked to ESCO skills. It is designed to help researchers and practitioners develop and fine-tune NLP models (e.g., BERT or SentenceTransformer-based models) for automated skill extraction.
@@ -32,13 +48,3 @@ For each object, every sentence from both the explicit and implicit lists is ext
 - **Semantic Similarity:** Develop embedding-based models to compare free-form text with standardized ESCO skill descriptions.
 - **NLP Research:** Serve as a resource for studying language understanding and information extraction in vocational domains.
 
-## Example Usage
-
-Below is a simple Python snippet to load and inspect the dataset:
-
-```python
-import pandas as pd
-
-# Load the merged CSV dataset
-df = pd.read_csv("merged_dataset.csv")
-print(df.head())