Training and test data for the task of Recognizing Semantic Differences (RSD).
See the paper for details on how the dataset was created, and see our code at
https://github.com/ZurichNLP/recognizing-semantic-differences for an example of how to use the data for evaluation.
The data are derived from the SemEval-2016 Task 2 for Interpretable Semantic Textual Similarity organized by Agirre et al. (2016).
The original URLs of the data are:
Train:… See the full description on the dataset page:
https://huggingface.co/datasets/ZurichNLP/rsd-ists-2016.