Updated README.md

README.md

@@ -25,19 +25,30 @@ dataset_info:
 ---
 # Sinhala Perplexity Test Dataset
 
-This dataset contains test sentences used for evaluating the perplexity of various language models on Sinhala text. It includes two scripts:
+## Dataset Description
 
-- `test_unicode.txt`: Sinhala sentences written in Unicode Sinhala script.
-- `test_romanized.txt`: The same sentences transliterated into Romanized Sinhala.
+This dataset contains 200 sentence pairs in Sinhala, provided in two scripts: Unicode Sinhala and Romanized Sinhala. It is intended for evaluating perplexity and benchmarking language models on Sinhala text.
 
 ## Dataset Structure
 
-Each file contains one sentence per line.
+The dataset consists of two fields:
 
-## Usage
+- `sinhala_unicode`: Sinhala sentences written in Unicode Sinhala script.
+- `sinhala_romanized`: Corresponding sentences transliterated into Romanized Sinhala.
 
-This dataset can be used for perplexity calculation, language modeling and benchmarking Sinhala language models.
+Each entry in the dataset corresponds to one pair of sentences.
 
-## License
+## How to Use the Dataset
 
-This dataset is released under the CC BY 4.0 License. You are free to share and adapt it with proper attribution.
+You can easily load the dataset using the `datasets` library:
+
+```python
+from datasets import load_dataset
+
+# Load the dataset
+dataset = load_dataset("Minuri/sinhala-perplexity-test-dataset")
+
+# Access the first example
+example = dataset['data'][0]
+print("Unicode Sentence:", example['sinhala_unicode'])
+print("Romanized Sentence:", example['sinhala_romanized'])