Introduction In this zip, we release the auxiliary data that is beneficial to execute the implementation of AVLEN described in our paper AVLEN: Audio-Visual-Language Embodied Navigation in 3D Environments by Sudipta Paul, Amit K Roy-Chowdhury, and Anoop Cherian, NeurIPS, 2022. At a Glance The size of the unzipped data is 4.6G The unzipped folder contains: (i) a README.md file and (ii) ./AVLEN-data folder. The latter contains the following zip files. Please see the AVLEN code to see how to unzip these files into their respective folders. ckpt.119.pth -- 61M connectivity.zip -- 1.4M pretrained_weights.zip -- 1.7G ResNet-152-imagenet.zip -- 2.9G semantic_audionav_dialog_approx.zip -- 2.7M soundspaces.zip -- 479K speaker_model_weights.zip -- 51M Other Resources For the implementation of AVLEN that uses the data shared here, please visit MERL TR2022-131. Citation If you use AVLEN in your research, please cite our paper: @InProceedings{paul2022avlen, title={AVLEN: Audio-Visual-Language Embodied Navigation in 3D Environments}, booktitle={Advances in Neural Information Processing Systems}, author={Paul, Sudipta and Roy-Chowdhury, Amit and Cherian, Anoop}, volume={35}, pages={6236--6249}, year={2022} } Copyright and License The AVLEN dataset is released under CC-BY-SA-4.0 license. All data: Created by Mitsubishi Electric Research Laboratories (MERL), 2023 SPDX-License-Identifier: CC-BY-SA-4.0