Update README.md

README.md

@@ -1,28 +1,9 @@
-Dataset for training an entailment classifier to recognize approval/disapproval of politicians. 
-Documents are Tweets from Kawintiranon (2022), the MTSD dataset, as well as Tweets and sentences taken weekly newsletters for select politicians from the 115th, 116th, and 117th congress.
-Documents are triple coded -- once from the original compilers of the dataset, once from GPT-4, and a third time to adjudicate discrepancies between the two.
-
-Twitter handles from politicians in the dataset have been replaced by their name. Be aware that "rt @realdonaldtrump You're a liar!" has been replaced with "rt trump You're a liar!",
-And means the author is retweeting Trump calling someone else a liar, not the author calling Trump a liar.
-
-Stance:  
-  -1: Against: The document is critical of the target.  
-   0: Neutral: The document doesn't express an opinion about the target or it can't be determined what the expressed opinion is with the given context.  
-   1: Support: The document expresses support for the target. Expressing collaboration on bills or letters is considered support.  
- 
-Label:  
-  0: Entail  
-  1: Not Entail  
-
-In addition to 1,000 documents about targets in the training set, the test set contains documents about 6 politicians not included in the training or validation data:
-  - Ted Cruz
-  - Hakeem Jeffries
-  - Madison Cawthorn
-  - Alexandria Ocasio-Cortez
-  - Mitt Romney
-  - Kyrsten Sinema
-
 ---
+pretty name: PoliStance Affect
+task_categories:
+- Zero Shot Classification
+- NLI
+- Stance Detection
 license: mit
 configs:
 - config_name: default
@@ -58,3 +39,27 @@ dataset_info:
   download_size: 4211025
   dataset_size: 8353461
 ---
+
+Dataset for training an entailment classifier to recognize approval/disapproval of politicians. 
+Documents are Tweets from Kawintiranon (2022), the MTSD dataset, as well as Tweets and sentences taken weekly newsletters for select politicians from the 115th, 116th, and 117th congress.
+Documents are triple coded -- once from the original compilers of the dataset, once from GPT-4, and a third time to adjudicate discrepancies between the two.
+
+Twitter handles from politicians in the dataset have been replaced by their name. Be aware that "rt @realdonaldtrump You're a liar!" has been replaced with "rt trump You're a liar!",
+And means the author is retweeting Trump calling someone else a liar, not the author calling Trump a liar.
+
+Stance:  
+  -1: Against: The document is critical of the target.  
+   0: Neutral: The document doesn't express an opinion about the target or it can't be determined what the expressed opinion is with the given context.  
+   1: Support: The document expresses support for the target. Expressing collaboration on bills or letters is considered support.  
+ 
+Label:  
+  0: Entail  
+  1: Not Entail  
+
+In addition to 1,000 documents about targets in the training set, the test set contains documents about 6 politicians not included in the training or validation data:
+  - Ted Cruz
+  - Hakeem Jeffries
+  - Madison Cawthorn
+  - Alexandria Ocasio-Cortez
+  - Mitt Romney
+  - Kyrsten Sinema