# TL-CodeSum

**Repository Path**: rainbowrainbow/TL-CodeSum

## Basic Information

- **Project Name**: TL-CodeSum
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2022-04-17
- **Last Updated**: 2022-04-17

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# TL-CodeSum
## Dataset
The paper used two datasets:

-- Data for code summarization task

-- Data_pre for API sequence summarization task

## Requirments
Python 3.6 

NLTK 3.2.5 

## Config
The configuration of different models that we used is available in the folder "config"

## Train
python3 \_\_main\_\_.py ../config/**.yaml --train -v

The project is based on the Projects: https://www.tensorflow.org/tutorials/seq2seq and https://github.com/eske/seq2seq