Update README.md

README.md

@@ -10,7 +10,7 @@ task_categories:
 - question-answering
 ---
 
-PhEnText Detoxed is a large-scale and multi-domain lexical data written in Philippine English and Taglish text. The news articles, religious articles and court decisions collated by the [original researchers](https://ieeexplore.ieee.org/abstract/document/9923429) were filtered for toxicity and special characters were further preprocessed. This dataset has been configured to easily fine-tune LLaMA-based models (Alpaca, Guanaco, Vicuna, LLaMA 2, etc.)
+PhEnText Detoxed is a large-scale and multi-domain lexical data written in Philippine English and Taglish text. The news articles, religious articles and court decisions collated by the [original researchers](https://ieeexplore.ieee.org/abstract/document/9923429) were filtered for toxicity and special characters were further preprocessed. This dataset has been configured to easily fine-tune LLaMA-based models (Alpaca, Guanaco, Vicuna, LLaMA 2, etc.) In total, this dataset contains 6.29 million rows of training data and 2.7 million rows of testing data.
 
 ## Sources
 According to Canon et al. (2022), here is the original breakdown of the dataset sources:
@@ -36,6 +36,8 @@ After training/fine-tuning a model on this dataset, it is important to take note
 
 4. **NSFW Content:** The data has already been detoxified, however it may still contain sensitive topics including violence, gore, and sexual content. If you plan to further refine your model for safe/aligned usage, you are highly encouraged to implement guardrails along with it.
 
+5. **Timeliness** The data's cutoff date is December 2021. The data must not be used to generate content that heavily relies on events after the cutoff date.
+
 ## References
 ```bibtext
 @INPROCEEDINGS{9923429,