Update README.md

README.md

@@ -22,7 +22,8 @@ size_categories:
 
 # GammaCorpus: v1 - 70k - UNFILTERED
 
-> 35 million tokens of pure unfiltered user and AI-generated data
+> [!NOTE]
+> 36 million tokens of pure unfiltered user and AI-generated data
 
 ## What is it?
 
@@ -32,7 +33,8 @@ The **GammaCorpus v1 70k Unfiltered** dataset consists of 70,000 structured sing
 
 This dataset contains approximately **35 million tokens** of text. It is designed to facilitate the training and evaluation of conversational AI models. This dataset can be especially if you need a collection of a very diverse human-generated prompts and the corresponding responses by a SOTA model.
 
-### ⚠️ This is the *FIRST* version of GammaCorpus, we HEAVILY recommend using the SECOND, LATEST version of GammaCorpus. You can find it [here](https://huggingface.co/collections/rubenroy/gammacorpus-67765abf607615a0eb6d61ac)
+> [!WARNING]
+> **Warning:** This is the *FIRST* version of GammaCorpus, we HEAVILY recommend using the SECOND, LATEST version of GammaCorpus. You can find the full GammaCorpus HF collection [here](https://huggingface.co/collections/rubenroy/gammacorpus-67765abf607615a0eb6d61ac).
 
 ## Dataset Summary
 
@@ -72,7 +74,8 @@ As the dataset is generated from user queries and AI responses, it may contain b
 
 No additional filtering has been applied to minimize harmful content, thus users are encouraged to preprocess the dataset according to their requirements.
 
-### ⚠️ IMPORTANT: It is recommended to filter this dataset before using in production applications as it may contain innapproprate data. ⚠️
+> [!CAUTION]
+> **Caution:** It is recommended to filter this dataset before using in production applications as it may contain innapproprate data.
 
 ### Other Known Limitations