Datasets:

Modalities:
3D
Text
Formats:
csv
Size:
< 1K
Libraries:
Datasets
pandas
License:
Dataset Viewer
Auto-converted to Parquet
id
stringlengths
12
12
pcd
stringlengths
20
20
layout
stringlengths
23
23
scene0000_00
pcd/scene0000_00.ply
layout/scene0000_00.txt
scene0001_00
pcd/scene0001_00.ply
layout/scene0001_00.txt
scene0001_01
pcd/scene0001_01.ply
layout/scene0001_01.txt
scene0002_00
pcd/scene0002_00.ply
layout/scene0002_00.txt
scene0003_00
pcd/scene0003_00.ply
layout/scene0003_00.txt
scene0004_00
pcd/scene0004_00.ply
layout/scene0004_00.txt
scene0004_01
pcd/scene0004_01.ply
layout/scene0004_01.txt
scene0005_00
pcd/scene0005_00.ply
layout/scene0005_00.txt
scene0005_01
pcd/scene0005_01.ply
layout/scene0005_01.txt
scene0006_00
pcd/scene0006_00.ply
layout/scene0006_00.txt
scene0007_00
pcd/scene0007_00.ply
layout/scene0007_00.txt
scene0007_01
pcd/scene0007_01.ply
layout/scene0007_01.txt
scene0007_02
pcd/scene0007_02.ply
layout/scene0007_02.txt
scene0008_00
pcd/scene0008_00.ply
layout/scene0008_00.txt
scene0009_00
pcd/scene0009_00.ply
layout/scene0009_00.txt
scene0009_01
pcd/scene0009_01.ply
layout/scene0009_01.txt
scene0009_02
pcd/scene0009_02.ply
layout/scene0009_02.txt
scene0010_00
pcd/scene0010_00.ply
layout/scene0010_00.txt
scene0010_01
pcd/scene0010_01.ply
layout/scene0010_01.txt
scene0011_00
pcd/scene0011_00.ply
layout/scene0011_00.txt
scene0012_00
pcd/scene0012_00.ply
layout/scene0012_00.txt
scene0012_01
pcd/scene0012_01.ply
layout/scene0012_01.txt
scene0012_02
pcd/scene0012_02.ply
layout/scene0012_02.txt
scene0013_00
pcd/scene0013_00.ply
layout/scene0013_00.txt
scene0014_00
pcd/scene0014_00.ply
layout/scene0014_00.txt
scene0014_01
pcd/scene0014_01.ply
layout/scene0014_01.txt
scene0015_00
pcd/scene0015_00.ply
layout/scene0015_00.txt
scene0016_00
pcd/scene0016_00.ply
layout/scene0016_00.txt
scene0017_00
pcd/scene0017_00.ply
layout/scene0017_00.txt
scene0018_00
pcd/scene0018_00.ply
layout/scene0018_00.txt
scene0018_01
pcd/scene0018_01.ply
layout/scene0018_01.txt
scene0019_00
pcd/scene0019_00.ply
layout/scene0019_00.txt
scene0020_00
pcd/scene0020_00.ply
layout/scene0020_00.txt
scene0021_00
pcd/scene0021_00.ply
layout/scene0021_00.txt
scene0022_00
pcd/scene0022_00.ply
layout/scene0022_00.txt
scene0022_01
pcd/scene0022_01.ply
layout/scene0022_01.txt
scene0023_00
pcd/scene0023_00.ply
layout/scene0023_00.txt
scene0023_01
pcd/scene0023_01.ply
layout/scene0023_01.txt
scene0024_00
pcd/scene0024_00.ply
layout/scene0024_00.txt
scene0024_01
pcd/scene0024_01.ply
layout/scene0024_01.txt
scene0024_02
pcd/scene0024_02.ply
layout/scene0024_02.txt
scene0025_00
pcd/scene0025_00.ply
layout/scene0025_00.txt
scene0026_00
pcd/scene0026_00.ply
layout/scene0026_00.txt
scene0027_00
pcd/scene0027_00.ply
layout/scene0027_00.txt
scene0027_01
pcd/scene0027_01.ply
layout/scene0027_01.txt
scene0027_02
pcd/scene0027_02.ply
layout/scene0027_02.txt
scene0027_03
pcd/scene0027_03.ply
layout/scene0027_03.txt
scene0028_00
pcd/scene0028_00.ply
layout/scene0028_00.txt
scene0028_01
pcd/scene0028_01.ply
layout/scene0028_01.txt
scene0028_02
pcd/scene0028_02.ply
layout/scene0028_02.txt
scene0028_03
pcd/scene0028_03.ply
layout/scene0028_03.txt
scene0029_00
pcd/scene0029_00.ply
layout/scene0029_00.txt
scene0030_00
pcd/scene0030_00.ply
layout/scene0030_00.txt
scene0030_01
pcd/scene0030_01.ply
layout/scene0030_01.txt
scene0031_00
pcd/scene0031_00.ply
layout/scene0031_00.txt
scene0032_00
pcd/scene0032_00.ply
layout/scene0032_00.txt
scene0032_01
pcd/scene0032_01.ply
layout/scene0032_01.txt
scene0032_02
pcd/scene0032_02.ply
layout/scene0032_02.txt
scene0033_00
pcd/scene0033_00.ply
layout/scene0033_00.txt
scene0034_00
pcd/scene0034_00.ply
layout/scene0034_00.txt
scene0034_01
pcd/scene0034_01.ply
layout/scene0034_01.txt
scene0035_00
pcd/scene0035_00.ply
layout/scene0035_00.txt
scene0036_00
pcd/scene0036_00.ply
layout/scene0036_00.txt
scene0037_00
pcd/scene0037_00.ply
layout/scene0037_00.txt
scene0038_00
pcd/scene0038_00.ply
layout/scene0038_00.txt
scene0039_00
pcd/scene0039_00.ply
layout/scene0039_00.txt
scene0039_01
pcd/scene0039_01.ply
layout/scene0039_01.txt
scene0040_00
pcd/scene0040_00.ply
layout/scene0040_00.txt
scene0041_00
pcd/scene0041_00.ply
layout/scene0041_00.txt
scene0042_00
pcd/scene0042_00.ply
layout/scene0042_00.txt
scene0043_00
pcd/scene0043_00.ply
layout/scene0043_00.txt
scene0044_00
pcd/scene0044_00.ply
layout/scene0044_00.txt
scene0044_01
pcd/scene0044_01.ply
layout/scene0044_01.txt
scene0045_00
pcd/scene0045_00.ply
layout/scene0045_00.txt
scene0045_01
pcd/scene0045_01.ply
layout/scene0045_01.txt
scene0045_02
pcd/scene0045_02.ply
layout/scene0045_02.txt
scene0046_00
pcd/scene0046_00.ply
layout/scene0046_00.txt
scene0046_01
pcd/scene0046_01.ply
layout/scene0046_01.txt
scene0047_00
pcd/scene0047_00.ply
layout/scene0047_00.txt
scene0048_00
pcd/scene0048_00.ply
layout/scene0048_00.txt
scene0048_01
pcd/scene0048_01.ply
layout/scene0048_01.txt
scene0048_02
pcd/scene0048_02.ply
layout/scene0048_02.txt
scene0048_03
pcd/scene0048_03.ply
layout/scene0048_03.txt
scene0049_00
pcd/scene0049_00.ply
layout/scene0049_00.txt
scene0049_01
pcd/scene0049_01.ply
layout/scene0049_01.txt
scene0050_00
pcd/scene0050_00.ply
layout/scene0050_00.txt
scene0050_01
pcd/scene0050_01.ply
layout/scene0050_01.txt
scene0051_00
pcd/scene0051_00.ply
layout/scene0051_00.txt
scene0051_01
pcd/scene0051_01.ply
layout/scene0051_01.txt
scene0051_02
pcd/scene0051_02.ply
layout/scene0051_02.txt
scene0052_00
pcd/scene0052_00.ply
layout/scene0052_00.txt
scene0053_00
pcd/scene0053_00.ply
layout/scene0053_00.txt
scene0054_00
pcd/scene0054_00.ply
layout/scene0054_00.txt
scene0055_00
pcd/scene0055_00.ply
layout/scene0055_00.txt
scene0056_00
pcd/scene0056_00.ply
layout/scene0056_00.txt
scene0056_01
pcd/scene0056_01.ply
layout/scene0056_01.txt
scene0057_00
pcd/scene0057_00.ply
layout/scene0057_00.txt
scene0057_01
pcd/scene0057_01.ply
layout/scene0057_01.txt
scene0058_00
pcd/scene0058_00.ply
layout/scene0058_00.txt
scene0058_01
pcd/scene0058_01.ply
layout/scene0058_01.txt
End of preview. Expand in Data Studio

SpatialLM Testset

We provide a test set of 107 preprocessed point clouds and their corresponding GT layouts, point clouds are reconstructed from RGB videos using MASt3R-SLAM. SpatialLM-Testset is quite challenging compared to prior clean RGBD scan datasets due to the noises and occlusions in the point clouds reconstructed from monocular RGB videos.

exmaple a exmaple b exmaple c exmaple d

Folder Structure

Outlines of the dataset files:

project-root/
├── pcd/*.ply                   # Reconstructed point cloud PLY files
├── layout/*.txt                # GT FloorPlan Layout
├── benchmark_categories.tsv    # Category mappings for evaluation
└── test.csv                    # Metadata CSV file with columns id, pcd, layout

Usage

Use the SpatialLM code base for reading the point cloud and layout data.

from spatiallm import Layout
from spatiallm.pcd import load_o3d_pcd

# Load Point Cloud
point_cloud = load_o3d_pcd(args.point_cloud)

# Load Layout
with open(args.layout, "r") as f:
    layout_content = f.read()
layout = Layout(layout_content)

Visualization

Use rerun to visualize the point cloud and the predicted structured 3D layout output:

python visualize.py --point_cloud pcd/scene0000_00.ply --layout layout/scene0000_00.txt --save scene0000_00.rrd
rerun scene0000_00.rrd
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