| ## QA4PC Dataset (paper: Cross-Policy Compliance Detection via Question Answering) | |
| ### Train Sets | |
| To create training set or entailment and QA tasks, download the ShARC data from here: https://sharc-data.github.io/data.html. After that, run the script from _create_train_from_sharc.py_, by providing the path to the ShARC train and development sets. | |
| ### Evaluation Sets | |
| #### Entailment Data | |
| The following files contain the data for the entailment task. This includes the policy + questions, a scenario and an answer (_Yes, No, Maybe_). Each datapoint also contain the information from the ShARC dataset such as tree_id and source_url. | |
| - __dev_entailment_qa4pc.json__ | |
| - __test_entailment_qa4pc.json__ | |
| #### QA Data | |
| The following files contain the data for the QA task. | |
| - __dev_sc_qa4pc.json__ | |
| - __test_sc_qa4pc.json__ | |
| The following file contains the expression tree data for the dev and test sets. Each tree includes a policy, a set of questions and a logical expression. | |
| - __trees_dev_test_qa4pc.json__ | |