add scenes, root config, and README.md
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- README.md +56 -0
- hssd-hab.scene_dataset_config.json +26 -0
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README.md
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---
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language:
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- en
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pretty_name: HSSD
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tags:
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- 3D scenes
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- Embodied AI
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license: cc-by-nc-4.0
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---
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HSSD: Habitat Synthetic Scenes Dataset
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==================================
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The [Habitat Synthetic Scenes Dataset (HSSD)](https://3dlg-hcvc.github.io/hssd/) is a human-authored 3D scene dataset that more closely mirrors real scenes than prior datasets.
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Our dataset represents real interiors and contains a diverse set of 211 scenes and more than 18000 models of real-world objects.
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<img src="https://i.imgur.com/XEkLxNs.png" width=50%>
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This repository provides a Habitat consumption-ready compressed version of HSSD.
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See [this repository](https://huggingface.co/datasets/hssd/hssd-models) for corresponding uncompressed assets.
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## Dataset Structure
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```
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├── objects
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│ ├── */*.glb
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│ ├── */*.object_config.json
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├── stages
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│ ├── *.glb
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│ ├── *.stage_config.json
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├── scenes
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│ ├── *.scene_instance.json
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└── hssd.scene_dataset_config.json
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```
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- `hssd.scene_dataset_config.json`: This SceneDataset config file aggregates the assets and metadata necessary to fully describe the set of stages, objects, and scenes constituting the dataset
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- `objects`: 3D models representing distinct objects that are used to compose scenes
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- `stages`: A stage in Habitat is the set of static mesh components which make up the backdrop of a scene (e.g. floor, walls, stairs, etc.)
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- `scenes`: A scene is a single 3D world composed of a static stage and a variable number of objects
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## Getting Started
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To load HSSD scenes into the Habitat simulator, you can start by installing [habitat-sim](https://github.com/facebookresearch/habitat-sim) using instructions specified [here](https://github.com/facebookresearch/habitat-sim#installation).
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Once installed, you can run the interactive Habitat viewer to load a scene:
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```
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habitat-viewer --dataset /path/to/hssd/hssd.scene_dataset_config.json -- 102344280
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# or ./build/viewer if compiling from source
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```
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You can find more information about using the interactive viewer [here](https://github.com/facebookresearch/habitat-sim#testing:~:text=path/to/data/-,Interactive%20testing,-%3A%20Use%20the%20interactive).
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Habitat-Sim is typically used with [Habitat-Lab](https://github.com/facebookresearch/habitat-lab), a modular high-level library for end-to-end experiments in embodied AI.
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To define embodied AI tasks (e.g. navigation, instruction following, question answering), train agents, and benchmark their performance using standard metrics, you can download habitat-lab using the instructions provided [here](https://github.com/facebookresearch/habitat-lab#installation).
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hssd-hab.scene_dataset_config.json
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{
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"stages": {
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"paths": {
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".json": [
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"stages"
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]
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}
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},
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"objects": {
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"paths": {
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".json": [
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"objects/*", "objects/decomposed/*"
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]
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}
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},
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"scene_instances": {
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"default_attributes": {
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"default_lighting": ""
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},
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"paths": {
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".json": [
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"scenes"
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]
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}
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}
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}
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scenes/102343992.scene_instance.json
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scenes/102344022.scene_instance.json
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{"stage_instance": {"template_name": "stages/102344022"}, "translation_origin": "asset_local", "object_instances": [{"template_name": "39c2ccacecea065215c5e2b39113747c3d187aa0", "translation": [-8.816049575805664, 2.182300006755586, -0.7724398401534494], "rotation": [0.7071068022599701, 0.707106760113119, 6.181723850435418e-08, -6.181723496326152e-08], "non_uniform_scale": [2.469379663467445, 0.999999821186097, 0.9999998211860817], "motion_type": "STATIC"}, {"template_name": "234ea5d1489662fb112ec9ddc970798677d9e9b3", "translation": [-1.6909699440002441, 0.4300004035144873, -7.079849272379295], "rotation": [0.7071068022599728, 0.0, -0.7071067601131205, -4.214684976696791e-08], "non_uniform_scale": [0.9999998807907176, 0.9999998807907176, 0.9999998807907176], "motion_type": "STATIC"}, {"template_name": "2dc525e5f8dafe7c89aaaa355463fcce320f6f74", "translation": [-5.6998796463012695, 0.9500000954079617, -2.7506797492098833], "rotation": [-4.3711388286737876e-08, 1.5529406128515055e-22, 0.9999999999999973, 5.960464832810436e-08], "non_uniform_scale": [1.0000000000000038, 0.9999998807907176, 0.9999998807907214], "motion_type": "STATIC"}, {"template_name": "577e49ac82f3377c86da9d21f1d36512d33e67f2", "translation": [-5.89277982711792, 2.280600376159555, -7.401109595196829], "rotation": [0.7071068022599701, 0.707106760113119, 6.181723998755844e-08, -6.181723496326144e-08], "non_uniform_scale": [1.0000000000000153, 0.999999821186097, 0.9999998211860817], "motion_type": "STATIC"}, {"template_name": "577e49ac82f3377c86da9d21f1d36512d33e67f2", "translation": [1.9060001373291016, 1.7686504552448312, -10.48479007163997], "rotation": [-0.5000000218556936, -0.49999999205336904, 0.5000000377489512, -0.49999994834198164], "non_uniform_scale": [0.9999998807907162, 0.9999998211860768, 0.9999998211860817], "motion_type": "STATIC"}, {"template_name": "d3b23323cf402e1677f657015f2743e77a16b378", "translation": [-2.633280038833618, 2.784609876016475e-07, -4.6717998581051745], "rotation": 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scenes/102344049.scene_instance.json
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scenes/102344115.scene_instance.json
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scenes/102344250.scene_instance.json
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scenes/102344280.scene_instance.json
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scenes/102344307.scene_instance.json
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scenes/103997424_171030444.scene_instance.json
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scenes/103997445_171030492.scene_instance.json
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scenes/103997460_171030507.scene_instance.json
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scenes/103997541_171030615.scene_instance.json
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scenes/103997562_171030642.scene_instance.json
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scenes/103997586_171030666.scene_instance.json
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scenes/103997799_171031002.scene_instance.json
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