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Dataset

Hssd Hab

by yali30 hf-dataset--yali30--hssd-hab
Nexus Index
35.0 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 58
R: Recency 61
Q: Quality 30
Tech Context
Vital Performance
0 DL / 30D
0.0%
Data Integrity 35 FNI Score
- Size
- Rows
Parquet Format
- Tokens
Dataset Information Summary
Entity Passport
Registry ID hf-dataset--yali30--hssd-hab
License CC-BY-NC-4.0
Provider huggingface
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Cite this dataset

Academic & Research Attribution

BibTeX
@misc{hf_dataset__yali30__hssd_hab,
  author = {yali30},
  title = {Hssd Hab Dataset},
  year = {2026},
  howpublished = {\url{https://huggingface.co/datasets/yali30/hssd-hab}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
yali30. (2026). Hssd Hab [Dataset]. Free2AITools. https://huggingface.co/datasets/yali30/hssd-hab

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Full Specifications [+]

âš–ī¸ Nexus Index V2.0

35.0
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 58
Recency (R) 61
Quality (Q) 30

đŸ’Ŧ Index Insight

FNI V2.0 for Hssd Hab: Semantic (S:50), Authority (A:0), Popularity (P:58), Recency (R:61), Quality (Q:30).

Free2AITools Nexus Index

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Dataset Specification

HSSD: Habitat Synthetic Scenes Dataset

The Habitat Synthetic Scenes Dataset (HSSD) is a human-authored 3D scene dataset that more closely mirrors real scenes than prior datasets. Our dataset represents real interiors and contains a diverse set of 211 scenes and more than 18000 models of real-world objects.

This repository provides a Habitat consumption-ready compressed version of HSSD. See this repository for corresponding uncompressed assets.

Dataset Structure

text
├── objects
│   ├── */*.glb
│   ├── */*.collider.glb
│   ├── */*.filteredSupportSurface(.ply|.glb)
│   ├── */*.object_config.json
├── stages
│   ├── *.glb
│   ├── *.stage_config.json
├── scenes
│   ├── *.scene_instance.json
├── scenes_uncluttered
│   ├── *.scene_instance.json
├── scene_filter_files
│   ├── *.rec_filter.json
└── hssd-hab.scene_dataset_config.json
└── hssd-hab-uncluttered.scene_dataset_config.json
  • hssd-hab.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.
  • objects: 3D models representing distinct objects that are used to compose scenes. Contains configuration files, render assets, collider assets, and Receptacle mesh assets.
  • 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.).
  • scenes: A scene is a single 3D world composed of a static stage and a variable number of objects.

Rearrange-ready assets:

Supporting Habitat 3.0 embodied rearrangement tasks with updated colliders, adjusted and de-cluttered scene contents, receptacle meshes, and receptacle filter files. See aihabitat.org/habitat3/ for more details.

  • hssd-hab-uncluttered.scene_dataset_config.json: This SceneDataset config file aggregates adds the adjusted and uncluttered scenes for rearrangement tasks.
  • scenes_uncluttered: Contains the adjusted scene instance configuration files.
  • scene_filter_files: A scene filter file organizes available Receptacle instances in a scene into active and inactive groups based on simualtion heuristics and manual edits. It is consumed by the RearrangeEpisodeGenerator to construct valid RearrangeEpisodeDatasets.

Getting Started

To load HSSD scenes into the Habitat simulator, you can start by installing habitat-sim using instructions specified here.

Once installed, you can run the interactive Habitat viewer to load a scene:

text
habitat-viewer --dataset /path/to/hssd-hab/hssd-hab.scene_dataset_config.json -- 102344280
# or ./build/viewer if compiling from source

You can find more information about using the interactive viewer here.

Habitat-Sim is typically used with Habitat-Lab, a modular high-level library for end-to-end experiments in embodied AI. 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.

Changelog

  • v0.2.5: Rearrange-ready HSSD
    • Note: this is a checkpoint. Known issues exist and continued polish is ongoing.
    • Adds Receptacle meshes describing support surfaces for small objects (e.g. table or shelf surfaces).
    • Adds collider meshes (.collider.glb) for assets with Receptacle meshes to support simulation.
    • Adds new scenes 'scenes_uncluttered' and new SceneDataset 'hssd-hab-uncluttered' containing adjusted and de-cluttered versions of the scenes for use in embodied rearrangement tasks.
    • Adds 'scene_filter_files' which sort Receptacles in each scene into active and inactive groups for RearrangeEpisode generation.
  • v0.2.3: First release.
  • v0.2.4:
    • Recompresses several object GLBs to preserve PBR material status.
    • Adds CSV with object metadata and semantic lexicon files for Habitat.
    • Adds train/val scene splits file.

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Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id
hf-dataset--yali30--hssd-hab
slug
yali30--hssd-hab
source
huggingface
author
yali30
license
CC-BY-NC-4.0
tags
language:en, license:cc-by-nc-4.0, region:us, 3d scenes, embodied ai

âš™ī¸ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag

📊 Engagement & Metrics

downloads
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stars
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forks
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