Create README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
## QA4PC Dataset (paper: Cross-Policy Compliance Detection via Question Answering)
|
| 2 |
+
|
| 3 |
+
|
| 4 |
+
### Train Sets
|
| 5 |
+
To create training set or entailment and QA tasks, download and convert the ShARC data using the following commands:
|
| 6 |
+
```
|
| 7 |
+
wget https://sharc-data.github.io/data/sharc1-official.zip
|
| 8 |
+
unzip sharc1-official.zip
|
| 9 |
+
python create_train_from_sharc.py -sharc_dev_path sharc1-official/json/sharc_dev.json -sharc_train_path sharc1-official/json/sharc_train.json
|
| 10 |
+
```
|
| 11 |
+
|
| 12 |
+
### Evaluation Sets
|
| 13 |
+
|
| 14 |
+
#### Entailment Data
|
| 15 |
+
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.
|
| 16 |
+
- __dev_entailment_qa4pc.json__
|
| 17 |
+
- __test_entailment_qa4pc.json__
|
| 18 |
+
|
| 19 |
+
#### QA Data
|
| 20 |
+
The following files contain the data for the QA task.
|
| 21 |
+
- __dev_sc_qa4pc.json__
|
| 22 |
+
- __test_sc_qa4pc.json__
|
| 23 |
+
|
| 24 |
+
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.
|
| 25 |
+
- __trees_dev_test_qa4pc.json__
|