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Twitter handles from politicians in the dataset have been replaced by their name.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

---
license: mit
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
dataset_info:
  features:
  - name: premise
    dtype: string
  - name: target
    dtype: string
  - name: hypothesis
    dtype: string
  - name: stance
    dtype: int32
  - name: label
    dtype: int64
  splits:
  - name: train
    num_bytes: 5392570
    num_examples: 17164
  - name: validation
    num_bytes: 1327661
    num_examples: 4291
  - name: test
    num_bytes: 1633230
    num_examples: 5383
  download_size: 4211025
  dataset_size: 8353461
---