Update README.md

README.md

@@ -2,6 +2,7 @@
 license: mit
 datasets:
 - mlburnham/PoliStance_Affect
+- mlburnham/PoliStance_Affect_QT
 pipeline_tag: zero-shot-classification
 language:
 - en
@@ -16,9 +17,11 @@ It is currently trained for zero-shot classification of stances towards politica
 Further capabilities will be added and benchmarked as more training data is developed.
 
 # Training Data
-The model was trained using the [PoliStance Affect](https://huggingface.co/datasets/mlburnham/PoliStance_Affect) dataset. 
-The data contains ~27,000 political texts about U.S. politicians and political groups that have been triple coded for stance. 
-The test set contains documents about six politicians that were not included in the training set in order to evaluate zero-shot classification performance.
+The model was trained using the [PoliStance Affect](https://huggingface.co/datasets/mlburnham/PoliStance_Affect) and [PoliStance Affect_QT](https://huggingface.co/datasets/mlburnham/PoliStance_Affect_QT) datasets. 
+- Polistance Affect: ~27,000 political texts about U.S. politicians and political groups that have been triple coded for stance.
+- Polistance Affect QT: A set of quote tweets about U.S. politicians that pose a particularly challenging classification task.
+
+The test set for both datasets contains documents about six politicians that were not included in the training set in order to evaluate zero-shot classification performance.
 
 # Evaluation
 Results below are performance on the PoliStance Affect test set.