add annotations

.gitattributes

@@ -57,3 +57,8 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+R2R/* filter=lfs diff=lfs merge=lfs -text
+RxR/* filter=lfs diff=lfs merge=lfs -text
+EnvDrop/* filter=lfs diff=lfs merge=lfs -text
+*.json filter=lfs diff=lfs merge=lfs -text
+*.tar.gz filter=lfs diff=lfs merge=lfs -text

.gitignore

@@ -0,0 +1,5 @@
+EnvDrop/images
+R2R/images
+RxR/images
+
+*.tar.gz

EnvDrop/annotations.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:76fde83c4732d0aa0ff1169ff1a4330e060872a0500c718a7f1367557ba85ce6
+size 190491503

R2R/annotations.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a653b974c1b356aea6e810a5aaacbcb73446062234ebbb164fbe8f0478225fa4
+size 5512141

README.md

@@ -1,3 +1,78 @@
 ---
 license: cc-by-sa-4.0
+language:
+- en
+pretty_name: StreamVLN
 ---
+This repo contains the data for the paper **"StreamVLN: Streaming Vision-and-Language Navigation via SlowFast Context Modeling."**
+
+[![arxiv](https://img.shields.io/badge/arXiv-red?logo=arxiv)](http://arxiv.org/abs/2507.05240)
+[![project](https://img.shields.io/badge/Project-0065D3?logo=rocket&logoColor=white)](https://streamvln.github.io/)
+[![video-en](https://img.shields.io/badge/Video-D33846?logo=youtube)](https://www.youtube.com/watch?v=gG3mpefOBjc)
+
+
+## Overview
+
+The dataset consists of visual observations and annotations collected in the Matterport3D (MP3D) environment using the Habitat simulator. It combines data from several open-source Vision-and-Language Navigation (VLN) datasets.
+
+## Data Collection
+
+Data collected in this repo are from the following open-source datasets:
+- [R2R-VLNCE](https://github.com/jacobkrantz/VLN-CE)
+- [RxR-VLNCE](https://github.com/jacobkrantz/VLN-CE)
+- [R2R-EnvDrop](https://github.com/airsplay/R2R-EnvDrop)
+
+To get actions and observations, we enable a `ShortestPathFollower` agent in the Habitat simulator to follow the subgoals and collect rgb observations along the path. The data is collected across the Matterport3D (MP3D) scenes.
+
+## Dataset Description
+
+### Dataset Structure
+
+After extracting `images.tar.gz`, the dataset has the following structure:
+
+```shell
+StreamVLN-Dataset/         
+├── EnvDrop/
+│   └── annotations.json
+├── R2R/
+│   ├── images/
+│   │   ├── 1LXtFkjw3qL_r2r_000087/
+│   │   │   └── rgb/
+│   │   │       ├── 000.jpg
+│   │   │       ├── 001.jpg
+│   │   │       └── ...
+│   │   ├── 1LXtFkjw3qL_r2r_000099/
+│   │   ├── 1LXtFkjw3qL_r2r_000129/
+│   │   └── ...
+│   └── annotations.json        
+└── RxR/
+    ├── images/
+    └── annotations.json   
+
+```
+
+### Contents
+
+`images/`: The folder contains the rgb observations collected from Habitat simulator. 
+
+`annotations.json`: The file contain the navigation instructions and discrete actions sequence from Habitat Simulator for each dataset. The structure of annotation for each episode is as follows:
+
+```python
+{
+    "id": (int) Identifier for the episode,
+    "video": (str) Video ID to identify the relative path to the directory which contains the episode,
+    "instruction": (list[str]) Navigation instructions,
+    "actions": (list[int]) Discrete actions sequence in Habitat simulator, 
+                # 1 = MoveForward (25cm)
+                # 2 = TurnLeft (15°)
+                # 3 = TurnRight (15°)
+                # -1 = Dummy
+                # 0 = Stop (omitted in annotations)
+}
+```
+
+Each episode in the `annotations.json` file corresponds to a folder in the `images/` directory, where the folder name is included in the `video` ID. The rgb images are stored in the `rgb/` subdirectory of each episode folder. Length of the `actions` list corresponds to the number of rgb images in the episode to ensure observation-action data pairs.
+
+
+## Note
+- For **EnvDrop**, **only annotations** are provided due to the large number of episodes. RGB images can be rendered using the Habitat simulator following the collection method described above.

RxR/annotations.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bc4652aa0d70edbb4933b47ad10ec03c3553c38c11531b130d4d7178b377eaef
+size 21029266