Datasets:
Release SparseVideoNav dataset
Browse files- .gitattributes +4 -0
- README.md +135 -0
- bvn/annotations.json +3 -0
- bvn/data.jsonl +3 -0
- bvn/merge_info.json +15 -0
- bvn/shard_manifest.jsonl +0 -0
- bvn/shards/bvn-00000.tar.zst +3 -0
- bvn/shards/bvn-00001.tar.zst +3 -0
- bvn/shards/bvn-00002.tar.zst +3 -0
- bvn/shards/bvn-00003.tar.zst +3 -0
- bvn/shards/bvn-00004.tar.zst +3 -0
- bvn/shards/bvn-00005.tar.zst +3 -0
- bvn/shards/bvn-00006.tar.zst +3 -0
- bvn/shards/bvn-00007.tar.zst +3 -0
- ifn/annotations.json +3 -0
- ifn/data.jsonl +3 -0
- ifn/merge_info.json +15 -0
- ifn/shard_manifest.jsonl +0 -0
- ifn/shards/ifn-00000.tar.zst +3 -0
- ifn/shards/ifn-00001.tar.zst +3 -0
- ifn/shards/ifn-00002.tar.zst +3 -0
- ifn/shards/ifn-00003.tar.zst +3 -0
- ifn/shards/ifn-00004.tar.zst +3 -0
- ifn/shards/ifn-00005.tar.zst +3 -0
- ifn/shards/ifn-00006.tar.zst +3 -0
- ifn/shards/ifn-00007.tar.zst +3 -0
.gitattributes
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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bvn/annotations.json filter=lfs diff=lfs merge=lfs -text
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bvn/data.jsonl filter=lfs diff=lfs merge=lfs -text
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ifn/annotations.json filter=lfs diff=lfs merge=lfs -text
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ifn/data.jsonl filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: cc-by-nc-sa-4.0
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language:
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- en
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pretty_name: SparseVideoNav Datasets
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task_categories:
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- robotics
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- visual-question-answering
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tags:
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- embodied-ai
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- vision-language-navigation
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- robot-navigation
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- video
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- trajectory
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- sparsevideonav
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- opendrivelab
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configs:
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- config_name: bvn
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data_files:
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- split: train
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path: bvn/data.jsonl
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- config_name: ifn
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data_files:
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- split: train
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path: ifn/data.jsonl
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---
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# SparseVideoNav Datasets
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This repository contains the real-world navigation datasets released with [OpenDriveLab/SparseVideoNav](https://github.com/OpenDriveLab/SparseVideoNav):
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- **BVN**: Beyond-the-View Navigation.
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- **IFN**: Instruction-Following Navigation.
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Project links:
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- Project page: https://opendrivelab.com/SparseVideoNav
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- GitHub: https://github.com/OpenDriveLab/SparseVideoNav
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- Paper: https://arxiv.org/abs/2602.05827
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## Dataset Summary
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SparseVideoNav studies real-world vision-language navigation with sparse future video generation. The datasets contain language instructions, RGB frame sequences, and low-level navigation actions. The number of actions matches the number of RGB frames for every released episode.
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| Subset | Episodes | RGB frames | Task |
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| --- | ---: | ---: | --- |
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| `bvn` | 5,417 | 695,373 | Beyond-the-View Navigation |
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| `ifn` | 5,625 | 712,290 | Instruction-Following Navigation |
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## Repository Structure
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Images are stored in compressed tar shards to avoid hundreds of thousands of small files in the Hugging Face repository. Each shard preserves the original relative paths.
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```text
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.
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├── README.md
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├── bvn/
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│ ├── annotations.json
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│ ├── data.jsonl
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│ ├── merge_info.json
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│ ├── shard_manifest.jsonl
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│ └── shards/
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│ ├── bvn-00000.tar.zst
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│ └── ...
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└── ifn/
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├── annotations.json
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├── data.jsonl
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├── merge_info.json
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├── shard_manifest.jsonl
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└── shards/
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├── ifn-00000.tar.zst
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└── ...
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```
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Each line in `bvn/data.jsonl` or `ifn/data.jsonl` is an episode-level JSON object. Important fields:
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- `episode_id`: episode identifier.
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- `instruction` / `instructions`: natural-language navigation instruction.
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- `actions`: per-frame low-level action sequence with `dx`, `dy`, and `dyaw`.
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- `frame_files`: RGB frame paths inside the shard after extraction.
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- `shard`: shard file containing the episode frames.
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Example:
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```json
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{
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"dataset": "ifn",
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"episode_id": "36e980e5a1ff4817",
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"instruction": "please go along with the rail until you are near by a red cone.",
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"num_frames": 177,
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"num_actions": 177,
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"rgb_dir": "images/0e0ec1bdcc61a4ef/rgb",
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"frame_files": ["images/0e0ec1bdcc61a4ef/rgb/001.jpg"],
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"shard": "ifn/shards/ifn-00000.tar.zst"
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}
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```
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## Usage
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Load episode metadata with Hugging Face Datasets:
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```python
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from datasets import load_dataset
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bvn = load_dataset("OpenDriveLab/SparseVideoNav", "bvn")
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ifn = load_dataset("OpenDriveLab/SparseVideoNav", "ifn")
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```
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Download and inspect shards:
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```bash
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tar -I zstd -tf ifn/shards/ifn-00000.tar.zst | head
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tar -I zstd -xf ifn/shards/ifn-00000.tar.zst
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```
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After extraction, `frame_files` resolve to paths such as:
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```text
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images/<episode_dir>/rgb/001.jpg
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```
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## License
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The dataset is released under CC BY-NC-SA 4.0.
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## Citation
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```bibtex
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@article{zhang2026sparse,
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title={Sparse Video Generation Propels Real-World Beyond-the-View Vision-Language Navigation},
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author={Zhang, Hai and Liang, Siqi and Chen, Li and Li, Yuxian and Xu, Yukuan and Zhong, Yichao and Zhang, Fu and Li, Hongyang},
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journal={arXiv preprint arXiv:2602.05827},
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year={2026}
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}
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```
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bvn/annotations.json
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version https://git-lfs.github.com/spec/v1
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size 88454070
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bvn/data.jsonl
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version https://git-lfs.github.com/spec/v1
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size 91532428
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bvn/merge_info.json
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{
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"category": "bvn",
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"sources": [
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"train_bvn",
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"val_bvn"
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],
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"source_annotation_counts": {
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"train": 7475,
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"val": 256
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},
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"deduplicated_by": "video",
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"duplicates_removed": 71,
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"merged_annotation_count": 7660,
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"media_storage": "hard_links"
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}
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bvn/shard_manifest.jsonl
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bvn/shards/bvn-00000.tar.zst
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ifn/data.jsonl
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ifn/merge_info.json
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{
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"category": "ifn",
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"sources": [
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| 5 |
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],
|
| 7 |
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|
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| 9 |
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"val": 263
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},
|
| 11 |
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"deduplicated_by": "video",
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|
| 13 |
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"merged_annotation_count": 5626,
|
| 14 |
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"media_storage": "hard_links"
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}
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ifn/shard_manifest.jsonl
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