updated readme

README.md

@@ -47,6 +47,8 @@ The HumAID Twitter dataset consists of several thousands of manually annotated t
 - Rescue volunteering or donation effort
 - Sympathy and support
 
+The resulting annotated dataset consists of 11 labels. 
+
 ### Supported Tasks and Benchmark
 The dataset can be used to train a model for multiclass tweet classification for disaster response. The benchmark results can be found in https://ojs.aaai.org/index.php/ICWSM/article/view/18116/17919.
 
@@ -61,12 +63,19 @@ English
 
 ### Data Instances
 
-{"tweet_text": "@RT_com: URGENT: Death toll in #Ecuador #quake rises to 233 \u2013 President #Correa #1 in #Pakistan", "class_label": "injured_or_dead_people"}
+```
+{
+
+"tweet_text": "@RT_com: URGENT: Death toll in #Ecuador #quake rises to 233 \u2013 President #Correa #1 in #Pakistan", 
 
+"class_label": "injured_or_dead_people"
+
+}
+```
 ### Data Fields
 
 * tweet_text: corresponds to the tweet text.
-* class_label: corresponds to a label assigned to a given tweet text.
+* class_label: corresponds to a label assigned to a given tweet text
 
 
 ### Data Splits