transformers pytorch t5 text2text-generation en dataset:kasnerz/logic2text license:mit autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: mit
datasets:
- kasnerz/logic2text
language:
- en
---

## Model description

This is a fine-tuned [t5-base](https://huggingface.co/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](https://aclanthology.org/2020.findings-emnlp.190/).
The last pipeline step is done by [kategaranina/lt2t_lf_to_text](https://huggingface.co/kategaranina/lt2t_lf_to_text) model.
For relevant code, see [LT2T repository](https://github.com/kategerasimenko/LT2T) 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 }
```