| ---
|
| license: mit
|
| language:
|
| - en
|
| tags:
|
| - spatial-reasoning
|
| - embodied-ai
|
| - benchmark
|
| - 3d-simulation
|
| pretty_name: SpatialWorld — Task Card Metadata
|
| configs:
|
| - config_name: default
|
| data_files:
|
| - split: v1.0
|
| path: task_cards.parquet
|
| ---
|
|
|
| # SpatialWorld — Task Card Metadata (v1.0)
|
|
|
| **760 tasks** from [SpatialWorld](https://spatial-world.github.io/).
|
|
|
| | Column | Notes |
|
| |---|---|
|
| | `task_id` | Task identifier |
|
| | `task_name` | Short title (from `task.json` when available) |
|
| | `instruction` | Natural-language instruction |
|
| | `backend` | Simulator backend |
|
| | `scene` | Scene / map identifier |
|
| | `category` | Scenario category (`Daily`, `Work`, `Travel`, `Entertain`, `Social`, …) |
|
| | `task_type` | `Navigation`, `Interaction`, or `Hybrid` |
|
| | `data_path` | Path to task assets in `data/` |
|
|
|
| Golden trajectories: indoor/outdoor tasks in each `task.json`; game tasks in `data/game/game_gt.csv`.
|
|
|
| ## Download
|
|
|
| ```bash
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| git clone https://huggingface.co/datasets/HongchengGao/SpatialWorld
|
| ```
|
|
|
| ```python
|
| from huggingface_hub import snapshot_download
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| snapshot_download(repo_id="HongchengGao/SpatialWorld", repo_type="dataset", local_dir=".")
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| ```
|
|
|
