This repository contains the core code and data for the KALE framework. You can find the **requirements.txt**

## Get Start

```
conda create -n KALE python=3.9
conda activate KALE
cd KALE
pip install -r requirements.txt
```

## File Tree
### data
Contains experimental data.

### srcs
<font style="color:rgb(51, 51, 51);background-color:#D8DAD9;">train.py</font><font style="color:rgb(51, 51, 51);">: Script demo used to train KALE.</font>

<font style="color:rgb(51, 51, 51);background-color:#D8DAD9;">evaluation.py</font><font style="color:rgb(51, 51, 51);">:  Script demo used to evaluate KALE on various downstream benchmarks.</font>

<font style="color:rgb(51, 51, 51);background-color:#D8DAD9;">run.sh</font><font style="color:rgb(51, 51, 51);">: sh file to reproduce the results.</font>

## Reproduction

To reproduce the results reported in the paper, you can use the following command:

```
sh run.sh
```

 You can feel free to test other set of hyperparameters. Thank you for your kind advice.



