Update README.md

README.md

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 # XLM-Align Base for Aspect-Based Sentiment Analysis (Vietnamese)
 
 ## 1. Model Description
-This model is a fine-tuned version of [microsoft/xlm-align-base](https://huggingface.co/microsoft/xlm-align-base) from datasets [thinhntr/absa](https://github.com/thinhntr/absa) and [LuongPhan/UIT-ViSFD](https://github.com/LuongPhan/UIT-ViSFD#) for the task of **Aspect-Based Sentiment Analysis (ABSA)** on Vietnamese text. It is capable of identifying sentiments (Positive, Neutral, Negative) for specific aspects within a given sentence.
+This model is a fine-tuned version of [microsoft/xlm-align-base](https://huggingface.co/microsoft/xlm-align-base) for the task of **Aspect-Based Sentiment Analysis (ABSA)** on Vietnamese text. It is capable of identifying sentiments (Positive, Neutral, Negative) for specific aspects within a given sentence.
 
 - **Language:** Vietnamese
 - **Model Type:** Transformer-based Encoder
 - **Base Model:** microsoft/xlm-align-base
 
 ## 2. Training Data
-The model was trained on a Vietnamese ABSA dataset (e.g., VLSP 2018 or similar e-commerce review datasets). The data was preprocessed to handle multiple aspects per sentence.
+The model was trained on Vietnamese ABSA datasets including [thinhntr/absa](https://github.com/thinhntr/absa) and [LuongPhan/UIT-ViSFD](https://github.com/LuongPhan/UIT-ViSFD#).
 
 ## 3. Training Procedure
 ### Hyperparameters: