* deduplication draft * update style * update style test * dummy test main * rename modules * rename functions * return extremes in deduplicate_clusters * update style * cast str for gzip * update doc string * time processing * use dataset map to compute minhash * fill value for short token * remove da map method * update style * use share object to multiprocess * update style * use f-string and minor fix Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com> Co-authored-by: Loubna Ben Allal <44069155+loubnabnl@users.noreply.github.com> * update style * use module parameters * change ds_dedup to ds_filter * save ds_dedup * mv test to script tests * make jaccard threshold a parameter of deduplicate_dataset * update style * add doc strings * update style * add doc string for DuplicationIndex * save files into data dir * update readme * Update examples/research_projects/codeparrot/README.md Co-authored-by: Loubna Ben Allal <44069155+loubnabnl@users.noreply.github.com> * make near deduplication optional * move near deduplication in README * Update examples/research_projects/codeparrot/README.md Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com> * use f string Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com> Co-authored-by: Loubna Ben Allal <44069155+loubnabnl@users.noreply.github.com>
Research projects
This folder contains various research projects using 🤗 Transformers. They are not maintained and require a specific version of 🤗 Transformers that is indicated in the requirements file of each folder. Updating them to the most recent version of the library will require some work.
To use any of them, just run the command
pip install -r requirements.txt
inside the folder of your choice.
If you need help with any of those, contact the author(s), indicated at the top of the README of each folder.