transformers pytorch bart text2text-generation summarization en dataset:bogdancazan/wikilarge-text-simplification license:mit autotrain_compatible endpoints_compatible region:us
---
datasets:
- bogdancazan/wikilarge-text-simplification
language:
- en
license: mit
metrics:
- sari
- bertscore
pipeline_tag: summarization
---
A customised model based on MUSS, with added special tokens and tokenization method.\
The 4 control tokens are "<DEPENDENCYTREEDEPTHRATIO_1.0>", "<WORDRANKRATIO_1.0>", "<REPLACEONLYLEVENSHTEIN_1.0>", "<LENGTHRATIO_1.0>", whose values range from 0.2 to 1.5 (except for the REPLACEONLYLEVENSHTEIN maximises at 1.0).\
Here is a sample input:"<DEPENDENCYTREEDEPTHRATIO_0.65> <WORDRANKRATIO_0.6> <REPLACEONLYLEVENSHTEIN_0.8> <LENGTHRATIO_0.8> He advocates applying a user-centered design process in product development cycles and also works towards popularizing interaction design as a mainstream discipline."