Update README.md

README.md

@@ -6,33 +6,27 @@ task_categories:
 ---
 ## Tweets
 
-The dataset is a smaller version of the original dataset [This data originally came from Crowdflower's Data for Everyone library](http://www.crowdflower.com/data-for-everyone)
+This dataset contains texts from customers posted on Twitter regarding their air travel experiences,
+whether they were upset, neutral, or satisfied with the trip and the airline's service.
 
-The original Twitter data was scraped from February 2015, and contributors were asked first to classify positive, negative[, and neutral tweets,
+## Dataset Details
 
+The dataset is a smaller version of the original dataset [This data originally came from Crowdflower's Data for Everyone library](http://www.crowdflower.com/data-for-everyone)
+The original Twitter data was scraped from February 2015, and contributors were asked first to classify positive, negative[, and neutral tweets,
 followed by categorizing negative reasons (such as "late flight" or "rude service").
-
 This version contains whether the sentiment of the tweets in this set was positive (16%), neutral (21%), or negative (63%) for six US airlines.
 
-
-## Dataset Details
-Dataset Name: [Twitter US Airline Sentiment](https://www.kaggle.com/datasets/crowdflower/twitter-airline-sentiment)
-
-Language:  English
-
-Total Size: 14,640  demonstrations 
+- Dataset Name: [Twitter US Airline Sentiment](https://www.kaggle.com/datasets/crowdflower/twitter-airline-sentiment)
+- Language:  English
+- Total Size: 14,640  demonstrations 
 
 ## Contents
-
 The dataset consists of a data frame with the following columns:
-
 - airline_sentiment
-
 - text
 
 {
 "airline_sentiment": "negative[0]",
-
 "text":"virginamerica why are your first fares in may over three times more than other carriers when all seats are available to select.",
 }
 
@@ -48,5 +42,6 @@ df = dataset.to_pandas()
 ```
 
 ## License
+The Twitter US Airline Sentiment is licensed under the [Creative Commons(CC)](https://creativecommons.org/licenses/by-nc-sa/4.0/) License CC BY-NC-SA 4.09.
 
-The Twitter US Airline Sentiment is licensed under the [Creative Commons(CC)](https://creativecommons.org/licenses/by-nc-sa/4.0/) License CC BY-NC-SA 4.09.
+---