BERTGen: Multi-task Generation through BERT
<p>Supplements for the paper entitled "BERTGen: Multi-task Generation through BERT", accepted to appear at ACL-IJCNLP 2021 conference. Further instructions on how to use these resources are explained at <a href="https://github.com/ImperialNLP/BertGen">https://github.com/ImperialNLP/BertGen</a></p> <p>This entry contains:</p> <ul> <li>The datasets used to train and test the BertGen model, packed into a particular format required by the codebase</li> <li>The best model checkpoint used to generate the results in the paper</li> </ul> <p> </p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 0
- Engagement
- 8
Topics
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