task_categories:text-classification size_categories:10K<n<100K language:en region:us
---
task_categories:
- text-classification
language:
- en
pretty_name: MPQS
size_categories:
- 10K<n<100K
---
Cross Domain Paraphrase Detection
'MRPC', 'twitterPPDB', 'QQP', 'SemEval2015-Task1'

4 Domains:
1) MRPC (https://huggingface.co/datasets/SetFit/mrpc)
- Contain all the train, validation, and test sets.
2) twitterPPDB (https://git.uwaterloo.ca/jimmylin/Castor-data/-/tree/sst/twitterPPDB)
- Randomly sample 3500 instances for each class from the training set with random seed 24.
3) QQP (https://huggingface.co/datasets/SetFit/qqp)
- There are too many data points in this dataset. In order to create a balanced cross-domain dataset, we randomly sampled 7000 data instances from the 40.4k validation sets with random seed 24.
4) SemEval2015-Task1 (https://github.com/cocoxu/SemEval-PIT2015)
- Similarly, we wanted to create a domain for 7000 data instances. We sampled all the equivalent data (around 3500) and randomly sampled the rest from the non-equivalent data points with random seed 24.