2026 ICLR Submission
Current vision-language models (VLMs) struggle with long-term memory in embodied tasks. To address this, we introduce FindingDory, a benchmark in Habitat that evaluates memory-based reasoning across 60 long-horizon tasks.
In this repo, we release the FindingDory Habitat Dataset. The episode dataset is used to run online evaluations with the Habitat simulator using VLM-based navigation agents. Each episode involves a robot performing multiple pick-place object interactions. The agent then needs to execute actions in the simulator complete the tasks specified in the FindingDory benchmark.
We also release datasets that can be used for supervised finetuning of multimodal LLMs using the video-task pairs in FindingDory
Habitat Dataset Structure
This repository contains data and models for the findingdory-habitat package, structured into two main components: findingdory and imgnav.
findingdory
| File/Folder | Description |
|---|---|
| train/ | Training split of the habitat dataset. |
├── episodes.json.gz |
Encoded JSON file containing episode metadata for training episodes. |
├── transformations.npy |
NumPy array of transformation matrices (of each rigid object in simulator). |
└── viewpoints.npy |
NumPy array of viewpoints (camera poses of all objects/receptacles). |
| val/ | Validation split of the habitat dataset. |
├── episodes.json.gz |
Encoded JSON file containing episode metadata for validation episodes. |
├── transformations.npy |
NumPy array of transformation matrices (of each rigid object in simulator). |
└── viewpoints.npy |
NumPy array of viewpoints (camera poses of all objects/receptacles). |
findingdory_imagenav
| File/Folder | Description |
|---|---|
| dataset/ | Image navigation dataset (split into train and val). |
├── train/ |
Training data for the image navigation task. |
└── val/ |
Validation data for the image navigation task. |
| policy_ckpt/ | Policy checkpoint files (trained navigation policies). |
└── ckpt.17.pth |
PyTorch checkpoint file containing trained policy weights. |
| pretrained_vis_enc/ | Pretrained visual encoder weights. |
└── ckpt.16.pth |
PyTorch checkpoint file for the pretrained visual encoder used in imagenav training. |