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nlpyang committed Aug 22, 2019
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<tr>
<th class="tg-0pky">Models</th>
<th class="tg-0pky">ROUGE-1</th>
<th class="tg-0pky">ROUGE-2 |</th>
<th class="tg-0pky">ROUGE-2</th>
<th class="tg-0pky">ROUGE-L</th>
</tr>
<tr>
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**Python version**: This code is in Python3.6

**Package Requirements**: torch pytorch_transformers tensorboardX multiprocess pyrouge
**Package Requirements**: torch==1.1.0 pytorch_transformers tensorboardX multiprocess pyrouge

Some codes are borrowed from ONMT(https://github.com/OpenNMT/OpenNMT-py)

## Trained Models
[CNN/DM](https://drive.google.com/open?id=1-IKVCtc4Q-BdZpjXc4s70_fRsWnjtYLr)
[XSum](https://drive.google.com/open?id=1H50fClyTkNprWJNh10HWdGEdDdQIkzsI)

## Data Preparation For XSum
download https://drive.google.com/open?id=1BWBN1coTWGBqrWoOfRc5dhojPHhatbYs
[Pre-processed data](https://drive.google.com/open?id=1BWBN1coTWGBqrWoOfRc5dhojPHhatbYs)


## Data Preparation For CNN/Dailymail
### Option 1: download the processed data

download https://drive.google.com/open?id=1DN7ClZCCXsk2KegmC6t4ClBwtAf5galI
[Pre-processed data](https://drive.google.com/open?id=1DN7ClZCCXsk2KegmC6t4ClBwtAf5galI)

unzip the zipfile and put all `.pt` files into `bert_data`

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