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README.md

@@ -1,24 +1,51 @@
+---
+language:
+- en
+license:
+- unknown
+multilinguality:
+- monolingual
+size_categories:
+- 1K<n<10K
+source_datasets:
+- original
+task_categories:
+- text-classification
+task_ids:
+- sentiment-classification
+---
 
-    # Aspect-Based Sentiment Analysis Dataset
+# Aspect-Based Sentiment Analysis Dataset
 
-    This dataset contains aspect-based sentiment analysis data from SemEval 2014 Task 4 (Laptop domain). Each entry includes:
+This dataset contains aspect-based sentiment analysis data from SemEval 2014 Task 4 (Laptop domain). Each entry includes:
 
-    - Text: The original text with the aspect term inserted
-    - Aspect: The aspect being analyzed
-    - Sentiment: The sentiment score (-1 for negative, 0 for neutral, 1 for positive)
+- Text: The original text with the aspect term inserted
+- Aspect: The aspect being analyzed
+- Sentiment: The sentiment score (-1 for negative, 0 for neutral, 1 for positive)
 
-    ## Dataset Statistics
+## Dataset Statistics
 
-    - Train set size: 2328
-    - Test set size: 638
+- Train set size: 2328
+- Test set size: 638
 
-    ## Usage
+## Usage
 
-    You can load this dataset using the Hugging Face datasets library:
+You can load this dataset using the Hugging Face datasets library:
 
-    ```python
-    from datasets import load_dataset
+```python
+from datasets import load_dataset
 
-    dataset = load_dataset("VocabVictor/semeval2014_laptop")
-    ```
-    
+dataset = load_dataset("VocabVictor/semeval2014_laptop")
+```
+
+## Dataset Creation
+
+This dataset is derived from the SemEval 2014 Task 4 competition, focusing on aspect-based sentiment analysis in the laptop domain. The original data has been processed to fit the format required for machine learning tasks.
+
+## Considerations for Using the Data
+
+This dataset is intended for research purposes in natural language processing and sentiment analysis. Users should be aware of potential biases in the original data collection process.
+
+## Additional Information
+
+For more information about the original dataset, please refer to the SemEval 2014 Task 4 description and guidelines.