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rallio a203900070 A notebook for question and answer generation using one of the most powerful opensource NLU models, FLAN-T5-11B. (#215 )

* Create T5_closed_book_QA_generators.py

This is code that can be run in a notebook or by itself to generate a dictionary for use in creating synthetic dialogue that can be verified for factual accuracy. To use this notebook your need your trusted source material to be in the format of a list of strings (they will be truncated to under 1100 characters). Requires transformers and accelerate. Make sure to use T5 with bfloat16 or full precision.

* Create T5_closed_book_QA_generators.py

* Create T5_closed_book_QA_generators.md

* Delete T5_closed_book_QA_generators.py

Moved to proper folder structure

* fixed pre-commit issues

Co-authored-by: Yannic Kilcher <yk@users.noreply.github.com>

2023-01-14 22:16:54 +00:00

closed-book-qa

added QA notebook from rallio

2023-01-02 21:51:36 +01:00

code-bugger

add colab buttons to notebooks (#468 )

2023-01-07 13:54:16 +00:00

data-argumentation

Add UnifiedQA datasets that are not in xP3 (#666 )

2023-01-14 09:57:22 +00:00

detoxify-evaluation

add colab buttons to notebooks (#468 )

2023-01-07 13:54:16 +00:00

example

replace andrewm4894 with LAION-AI now that example notebook is merged (#573 )

2023-01-09 23:59:00 +01:00

knowledge_extraction

A notebook for question and answer generation using one of the most powerful opensource NLU models, FLAN-T5-11B. (#215 )

2023-01-14 22:16:54 +00:00

README.md

add example notebook (#512 )

2023-01-09 14:11:35 +00:00

README.md

Notebooks

This is a folder with some useful notebooks, all the notebooks have a markdown file with the same name (or a README.md if its a single notebook folder) explaining what they do.

Contributing

Contributing to notebooks and making new notebooks is very welcome. If you do so, make sure to make a markdown (.md) file to go with your notebook, it makes it easier for people to know what your notebook is about.

Check out the example notebook for a reference example you can use as a starting point.