TABLE TO TEXT With Logic

Table to text is a model based on GPT2 to convert open domain tables to text. It is based on the paper Logical Natural Language Generation from Open-Domain Tables, which aims to study the problem of natural language generation with logical inference in the intermediate steps. Going beyond simply surface-level copying.

Requirements

• pytorch 1.4.0
• huggingface transformers 2.5.1
• tensorboardX
• tqdm

Installation

Use the package manager pip to install foobar.

pip install -r requirements.txt
sh prerun.sh

Usage

CUDA_VISIBLE_DEVICES=0 python GPT2.py --do_test_once\
 --load_from models/GPT_ep8.pt \
--title Stock \
--csv_path mycsv.csv