Create a suite of tools to easily manipulate SQuAD format data. It would be useful to have tools to do things such as:

• merging annotations
• converting SQuAD format to Pandas data frame and vice versa
• easier functions to remove samples / paragraphs / annotations
• easier functions to count
• easier functions to return all questions or all answers

Papers

COLING'2020 will be happening next week (Dec 8-13, 2020, online). And one of the papers accepted there caught my attention.
It's called (2020) Biased TextRank: Unsupervised Graph-Based Content Extraction, under the supervision of Rada Mihalcea.
That paper lead me to read another paper: [(2017) A Position-Biased PageRank Algorithm for Keyphrase E

Need help for retraining and cross validation and see if the ROUGE score matches exactly (or better) with the numbers reported in the paper.
I just train for 500k iteration (with batch size 8) with pointer generation enabled + coverage loss disabled and next 100k iteration (with batch size 8) with pointer generation enabled + coverage loss enabled.

It would be great if someone can help re-r

A next step for better generation is to implement a beam search for the generation. An example of it can be seen on the huggingface repo here, and this would need adding such a function to the GenerativeT5 model in onnxt5/models.py