Update README.md

README.md

@@ -2,7 +2,7 @@
 license: apache-2.0
 ---
 
-# UMA-IA/UMA_Dataset_Engine_Aero_VLM
+# UMA-IA/PYXIS-Engine-v1
 
 ## Authors
 - **Youri LALAIN**, Engineering student at French Engineering School ECE  
@@ -10,7 +10,7 @@ license: apache-2.0
 
 ## Dataset Summary
 
-The **UMA-IA/UMA_Dataset_Engine_Aero_VLM** is a specialized dataset designed for training vision-language models in the field of **aerospace and aeronautical engineering**. It consists of high-quality **images of aircraft engine components paired with detailed captions** identifying and describing the visible parts. This dataset enables models to learn to recognize and analyze various engine components, making it ideal for **fine-tuning vision-language models** for technical visual recognition and analysis tasks in the aerospace industry.
+The **UMA-IA/PYXIS-Engine-v1** is a specialized dataset designed for training vision-language models in the field of **aerospace and aeronautical engineering**. It consists of high-quality **images of aircraft engine components paired with detailed captions** identifying and describing the visible parts. This dataset enables models to learn to recognize and analyze various engine components, making it ideal for **fine-tuning vision-language models** for technical visual recognition and analysis tasks in the aerospace industry.
 
 ## Dataset Details
 
@@ -58,7 +58,7 @@ You can load this dataset using the Hugging Face `datasets` library:
 
 ```python
 from datasets import load_dataset
-dataset = load_dataset("UMA-IA/UMA_Dataset_Engine_Aero_VLM")
+dataset = load_dataset("UMA-IA/PYXIS-Engine-v1")
 
 # Access the first sample
 print(dataset["train"][0]["caption"])