docs: update dataset information

README.md

@@ -14,7 +14,7 @@ size_categories:
 - 1M<n<10M
 ---
 
-TweetFeels 1m6
+# TweetFeels 1m6
 
 Collection of over a million English-language tweets harvested through the Twitter API in 2009. Each tweet carries a sentiment label automatically inferred from the presence of positive or negative emoticons: 0 for negative and 4 for positive (the original release also encodes 2 for neutral, though this class is sparsely populated).  
 
@@ -29,6 +29,4 @@ The dataset is distributed as a single CSV file with six tab-separated fields:
 
 No manual annotation was performed; labels were assigned via distant supervision based on emoticon presence. The corpus covers diverse topics and informal language patterns typical of Twitter, making it a standard benchmark for large-scale sentiment analysis and social-media text-mining tasks.
 
-**Acknowledgements**
-
-The dataset is available through [Kaggle—Sentiment140](https://www.kaggle.com/datasets/kazanova/sentiment140?resource=download).
+Acknowledgements: The dataset is available through [Kaggle—Sentiment140](https://www.kaggle.com/datasets/kazanova/sentiment140?resource=download).