[P] Long-Form QA beyond ELI5: an updated dataset and approach

Hi all,

For everyone interested in NLP and especially QA and Long-Form QA, we released a new LFQA dataset last week. Along with the LFQA dataset, we released a new version of the BART-based Seq2Seq model for abstractive answer generation and matching DPR-based encoders for questions and context passages.

To mark the release, we also made a HuggingFace Spaces demo of the Wikipedia Assistant at: [https://huggingface.co/spaces/lfqa/lfqa](https://huggingface.co/spaces/lfqa/lfqa)

More about the dataset and the model at [https://towardsdatascience.com/long-form-qa-beyond-eli5-an-updated-dataset-and-approach-319cb841aabb](https://towardsdatascience.com/long-form-qa-beyond-eli5-an-updated-dataset-and-approach-319cb841aabb)

All code is open source. …

dataset machinelearning qa