google-research-datasets/seq2act
This repository contains the opensource version of the datasets were used for different parts of training and testing of models that ground natural language to UI actions as described in the paper: "Mapping Natural Language Instructions to Mobile UI Action Sequences" by Yang Li, Jiacong He, Xin Zhou, Yuan Zhang, and Jason Baldridge, which is accepted in 2020 Annual Conference of the Association for Computational Linguistics (ACL 2020)
Stargazers
- chenjshnn
- David-Jaepil-Yanguneedcomms
- elejke
- epinnock
- gandalf012France
- GGaoeNanjing University
- hongjianBaidu
- Isabel-Olmedo
- ivelinAmbianic.ai
- jialeguan
- jonghyunhoSamsung Electronics
- kyolxs
- maggie0106Huawei Technologies Co., Ltd.
- maxi-wBerlin
- ms-google
- MulongXieCSIRO
- Natyren
- Nitin-ManeIndian Institute of Technology Bhilai
- oaishiCarnegie Mellon University
- playgrdstarplaygrd
- RainYuGGNational Taiwan University
- sihengz02Los Angeles
- skrish13India
- SnowKnth
- terrykwonNew York, NY
- xmzhaoTencent
- xmzzyoPeking University
- yoyohit
- ysong10the College of William and Mary