NDH-FULL

Code and dataset for EMNLP 2021 paper “NDH-FULL: Learning and Evaluating Navigational Agents on Full-Length Dialogue” Hyounghun Kim, Jialu Li, and Mohit Bansal.

Simulator Setup:

Please follow the steps in this repo for setting up the simulator.

Prerequisites

• Python 3.6
• PyTorch 1.8 or Up

Visual Feature

mkdir img_features

Please download this and put it in img_features folder.

Usage

To train the model:

python tasks/NDH_full/train.py --path_type=trusted_path --feedback=sample --eval_type=val --batch_size BATCH_SIZE  --angle_feat_size 128 --feat_type resnet --reinforce

Acknowledgments

Thank you Hao Tan for sharing the CLIP feature.