Datasets:

GaussianWorld
/

scene_splat_49k

license: cc-by-sa-4.0
task_categories:
  - other
language:
  - en
size_categories:
  - 10K<n<100K
configs:
  - config_name: 3RScanGS
    data_files:
      - split: train
        path: statistics/3rscan_mcmc_3dgs_runs.csv
  - config_name: AriaSyntheticEnvGS
    data_files:
      - split: train
        path: statistics/aria_synthetic_env_3dgs_runs.csv
  - config_name: ARKitScenesGS
    data_files:
      - split: train
        path: statistics/arkitscenes_3dgs_runs.csv
  - config_name: Matterport3DGS
    data_files:
      - split: train
        path: statistics/matterport3d_region_mcmc_3dgs_runs.csv
  - config_name: HyperSimGS
    data_files:
      - split: train
        path: statistics/hypersim_mcmc_3dgs_runs.csv
  - config_name: ScanNetPPGS-V1
    data_files:
      - split: train
        path: statistics/scannetpp_v1_3dgs_runs.csv
  - config_name: ScanNetPPGS-V2
    data_files:
      - split: train
        path: statistics/scannetpp_v2_3dgs_runs.csv
  - config_name: ScanNetGS
    data_files:
      - split: train
        path: statistics/scannet_3dgs_runs.csv
  - config_name: HoliCityGS
    data_files:
      - split: train
        path: statistics/holicity_mcmc_3dgs_runs.csv
  - config_name: DL3DV-GS
    data_files:
      - split: train
        path: statistics/dl3dv_filtered_psnr21_runs.csv
extra_gated_prompt: >-
  Before accessing SceneSplat-49K dataset, please confirm you agree to use this
  data only for non-commercial research and educational purposes.
extra_gated_fields:
  I confirm this data will be used only for non-commercial research/educational purposes: checkbox
pretty_name: SceneSplat-49K

SceneSplat-49K

We present SceneSplat-49K, a large-scale 3D Gaussian Splatting dataset comprising approximately 49K raw scenes and 45K curated 3DGS scenes, aggregated from multiple established sources including SceneSplat-7K, DL3DV-10K, HoliCity, Aria Synthetic Environments, and our own crowdsourced data. This diverse dataset consists of both indoor and outdoor environments, spanning from rooms, apartments to streets. The dataset in total contains 26.12 Billion Gaussian splats optimized from 22.4 Million RGB frames, with an average of 1.25M Gaussians per scene.

Please find here the links to each component of the dataset. Note we have updated the data parts of DL3DV-GS and AriaSyntheticEnvGS with improved quality, make sure to download from the new links.

Citation

If you find our work helpful, please consider citing:

@article{ma2025scenesplat++,
  title={SceneSplat++: A Large Dataset and Comprehensive Benchmark for Language Gaussian Splatting},
  author={Ma, Mengjiao and Ma, Qi and Li, Yue and Cheng, Jiahuan and Yang, Runyi and Ren, Bin and Popovic, Nikola and Wei, Mingqiang and Sebe, Nicu and Van Gool, Luc and others},
  journal={arXiv preprint arXiv:2506.08710},
  year={2025}
}

Acknowledgements

We sincerely thank all the author teams of the original datasets for their contributions and for making their data publicly available. Our 3DGS scenes are optimized using gsplat repository.