# Summarization on newsroom dataset

**URL:** </static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fsummarization-on-newsroom-dataset%2F1411%3E%5C
**Category:** 🤗Datasets\
**Created:** [October 7, 2020, 8:34pm UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fsummarization-on-newsroom-dataset%2F1411 "2020-10-07T20:34:14Z")\
**Posts on this page:** 1\
**Page:** 1

<div class="post-metadata">

**Author:** ![sshleifer](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/sshleifer/32/3304_2.png) [@sshleifer](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2Fsshleifer)%5C
**Post date:** [October 7, 2020, 8:34pm UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fsummarization-on-newsroom-dataset%2F1411%2F1 "2020-10-07T20:34:14Z")

</div>

Has anyone managed to use the code in `examples/seq2seq` on the newsroom dataset used in the pegasus paper?  
If you have good data (one line per example for source and target), but no code, I would find a google drive/s3 link to the data useful! Thanks!