metadata
license: mit
datasets:
- kasnerz/logic2text
language:
- en
Model description
This is a fine-tuned t5-base model for generating logical form templates from table metadata. It is a part of table-to-text pipeline with content selection and logical reasoning, trained on Logic2Text dataset. The last pipeline step is done by kategaranina/lt2t_lf_to_text model. For relevant code, see LT2T repository on GitHub.
Example of input:
Title: wake forest demon deacons football , 1980 - 89.
Column date. Type: date. Stats: Column has all unique values, all values have one occurrence,
first: 1987-09-12, last: 1987-11-21, max diff days: 70, max diff months: 2, max diff years: 0.
Value: 09 / 12 / 1987.
...
Column location. Type: str. Stats: Column has most unique values, one value has most occurrences,
most values have one occurrence. Value: groves stadium winston - salem , nc.
...
Example of output:
round_eq { avg { all_rows ; attendance } ; X }