Datasets:
File size: 1,565 Bytes
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license: cc-by-nc-sa-4.0
language:
- en
pretty_name: SparseVideoNav Datasets
task_categories:
- robotics
- visual-question-answering
tags:
- embodied-ai
- vision-language-navigation
- robot-navigation
- video
- trajectory
- sparsevideonav
- opendrivelab
configs:
- config_name: bvn
data_files:
- split: train
path: bvn/data.jsonl
- config_name: ifn
data_files:
- split: train
path: ifn/data.jsonl
---
# SparseVideoNav Datasets
This private repository contains the processed SparseVideoNav IFN and BVN datasets.
Images are stored in compressed tar.zst shards. Each shard preserves relative paths such as `images/<sequence>/rgb/000.jpg`.
The released annotations keep `id`, `video`, `actions`, and `instructions`; `data.jsonl` additionally repeats useful indexing metadata for loading.
All images in this version have been processed by EgoBlur for face and license-plate blurring.
| Subset | Episodes | RGB frames | Duration @ 4 fps | Task |
| --- | ---: | ---: | ---: | --- |
| `bvn` | 5,433 | 825,786 | 57.35 h | Beyond-the-View Navigation |
| `ifn` | 6,260 | 927,268 | 64.39 h | Instruction-Following Navigation |
| **Total** | **11,693** | **1,753,054** | **121.74 h** | - |
Duration is computed as `num_frames / 4 / 3600`.
## Structure
```text
bvn/
annotations.json
data.jsonl
merge_info.json
shard_manifest.jsonl
shards/bvn-00000.tar.zst
ifn/
annotations.json
data.jsonl
merge_info.json
shard_manifest.jsonl
shards/ifn-00000.tar.zst
```
Generated at `2026-07-06 14:23:43` from `/mnt/HDD-raid/siqiteam/140h_data`.
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