Fixed appendix

README.md

@@ -223,7 +223,7 @@ series = {CODASPY '22}
 
 This section describes each domain/dataset in greater detail.
 
-### Fake News
+### FAKE NEWS
 
 Fake News used WELFake as a basis. The WELFake dataset combines 72,134 news articles from four pre-existing datasets 
 (Kaggle, McIntire, Reuters, and BuzzFeed Political). The dataset was cleaned of data leaks in the form of citations of 
@@ -249,7 +249,7 @@ There are 20456 samples in the dataset, contained in `phishing.jsonl`. For repro
 and validation sets in 80/10/10 ratio. They are named `train.jsonl`, `test.jsonl`, `valid.jsonl`. The sampling process was stratified. 
 The training set contains 16364 samples, the validation and the test sets have 2064 and 2064 samles, respectively.
 
-### Job Scams
+### JOB SCAMS
 
 The Employment Scam Aegean Dataset, henceforth referred to as the Job Scams dataset, consisted of 17,880 human-annotated job listings of
 job descriptions labeled as fraudulent or not.
@@ -278,7 +278,7 @@ For reproduceability, the data is also split into training, test, and validation
 They are named `train.jsonl`, `test.jsonl`, `valid.jsonl`. The sampling process was stratified. 
 The training set contains 11436 samples, the validation and the test sets have 1429 and 1430 samles, respectively.
 
-### Phishing
+### PHISHING
 
 This dataset consists of various phishing attacks as well as benign emails collected from real users.
 
@@ -300,7 +300,7 @@ For reproduceability, the data is also split into training, test, and validation
 They are named `train.jsonl`, `test.jsonl`, `valid.jsonl`. The sampling process was stratified. 
 The training set contains 12217 samples, the validation and the test sets have 1527 and 1528 samles, respectively.
 
-### Political Statements
+### POLITICAL STATEMENTS
 
 This corpus was created from the Liar dataset which consists of political statements made by US speakers assigned
 a fine-grain truthfulness label by PolitiFact.
@@ -351,7 +351,7 @@ For reproduceability, the data is also split into training, test, and validation
 They are named `train.jsonl`, `test.jsonl`, `valid.jsonl`. The sampling process was stratified. 
 The training set contains 9997 samples, the validation and the test sets have 1250 samles each in them.
 
-### Product Reviews
+### PRODUCT REVIEWS
 
 We post-process and split Product Reviews dataset to ensure uniformity with Political Statements 2.0 and Twitter Rumours as they all go into form GDDS-2.0
 
@@ -397,7 +397,7 @@ test, and validation sets in 80/10/10 ratio. They are named `train.jsonl`, `test
 The sampling process was stratified. The training set contains 5259 samples, the validation and the test sets have 657 and 658 samles, 
 respectively.
 
-### Rumors dataset
+### TWITTER RUMOURS
 
 This deception dataset was created using PHEME dataset from