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Model description

This is a fine-tuned t5-base model for generating sentences from logical forms and basic table metadata. It is a part of table-to-text pipeline with content selection and logical reasoning, trained on Logic2Text dataset. The first pipeline step is done by kategaranina/lt2t_content_selection model. For relevant code, see LT2T repository on GitHub.

Example of input:

Title: list of cities , towns and villages in vojvodina.
Header: settlement | cyrillic name other names | type | population ( 2011 ) | largest ethnic group ( 2002 ) | dominant religion ( 2002 ).
Logical form: and { only { filter_eq { all_rows ; largest ethnic group ( 2002 ) ; slovaks } } ; eq { hop { filter_eq { all_rows ; largest ethnic group ( 2002 ) ; slovaks } ; settlement } ; pivnice } }

Example of output:

pivnice is the only settlement in vojvodina with slovaks as the largest ethnic group .
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Dataset used to train kategaranina/lt2t_lf_to_text