Update README.md

README.md

@@ -5,9 +5,13 @@ task_categories:
 language:
 - en
 tags:
-- code
-- legal
-- finance
+- Spam Classification
+- email
+- LLM
+- NLP
+- fraud detection
+size_categories:
+- 1K<n<10K
 ---
 
 # Email Spam Classification
@@ -20,11 +24,7 @@ The **non-spam emails** in the dataset are genuine and legitimate messages sent
 
 The dataset encompasses emails of varying *lengths, languages, and writing styles*, reflecting the inherent heterogeneity of email communication. This diversity aids in training algorithms that can generalize well to different types of emails, making them robust against different spammer tactics and variations in non-spam email content.
 
-# Get the dataset
-
-### This is just an example of the data
-
-Leave a request on **[https://trainingdata.pro/datasets](https://trainingdata.pro/datasets/spambase?utm_source=huggingface&utm_medium=cpc&utm_campaign=email-spam-classification)** to discuss your requirements, learn about the price and buy the dataset.
+# 💴 For Commercial Usage: To discuss your requirements, learn about the price and buy the dataset, leave a request on **[our website](https://unidata.pro/datasets/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=email-spam-classification)** to buy the dataset
 
 ### The dataset's possible applications:
 - spam detection
@@ -45,4 +45,6 @@ includes the following information:
 
 # Email spam might be collected in accordance with your requirements.
 
-## **[TrainingData](https://trainingdata.pro/datasets/spambase?utm_source=huggingface&utm_medium=cpc&utm_campaign=email-spam-classification)** provides high-quality data annotation tailored to your needs
+Leave a request on [our website](https://unidata.pro/datasets/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=email-spam-classification) to discuss your requirements, learn about the price and buy the dataset.
+
+## [Our Team](https://unidata.pro/datasets/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=email-spam-classification) provides high-quality data annotation tailored to your needs