add more info

README.md

@@ -42,11 +42,23 @@ size_categories:
 - 10K<n<100K
 ---
 
-Examples of preprcoessing algorithms:
+This is a large corpus of 41,574 preprocessed sms spam messages and emails sent by humans in 32 languages.
+
+<br>
+
+### Some preprcoessing algorithms
 - [spam_assassin.js](./spam_assassin.js), followed by [spam_assassin.py](./spam_assassin.py)
 - [enron_spam.py](./enron_spam.py)
 
 <br>
 
-Deduplicated dataset statistics:
-![](./spam_counts.png)
+### Data composition
+![](./spam_counts.png)
+
+
+<br>
+
+### Original source
+- https://huggingface.co/datasets/sms_spam
+- https://github.com/MWiechmann/enron_spam_data
+- https://www.kaggle.com/datasets/ganiyuolalekan/spam-assassin-email-classification-dataset