Cybernaut101/floorplans_subset_10000

rPlan Floorplan Dataset (32x32, 10K subset)

A subset of 10,000 floorplan images from the rPlan dataset, resized to 32x32 pixels. Stored as compressed Parquet with numpy arrays for efficient loading.

Dataset Format

Each sample contains:

• id: Image identifier (string)
• room_instances: 32x32 uint8 numpy array - room instance segmentation (35 unique classes)
• interior_mask: 32x32 uint8 numpy array - interior/exterior mask (255 = interior, 0 = exterior)

Room Instance Color Mapping (35 Classes)

Class ID	Color Value	Class Name
0	0	Living Room
1	7	Master Room_0
2	15	Master Room_1
3	22	Master Room_2
4	30	Master Room_3
5	37	Master Room_4
6	45	Kitchen_0
7	52	Kitchen_1
8	60	Bathroom_0
9	67	Bathroom_1
10	75	Bathroom_2
11	82	Dining Room_0
12	90	Dining Room_1
13	97	Child Room_0
14	105	Child Room_1
15	112	Child Room_2
16	120	Study Room_0
17	127	Study Room_1
18	135	Study Room_2
19	142	Second Room_0
20	150	Second Room_1
21	157	Second Room_2
22	165	Second Room_3
23	172	Guest Room_0
24	180	Guest Room_1
25	187	Guest Room_2
26	195	Balcony_0
27	202	Balcony_1
28	210	Balcony_2
29	217	Balcony_3
30	225	Entrance
31	232	Storage_0
32	240	Storage_1
33	247	Storage_2
34	255	External Area

Usage

from datasets import load_dataset
import numpy as np

# Load the dataset
ds = load_dataset("Cybernaut101/rPlan_subset_10000")

# Access a sample
sample = ds["train"][0]
room_instances = np.array(sample["room_instances"])  # 32x32 uint8
interior_mask = np.array(sample["interior_mask"])    # 32x32 uint8

# Iterate over the dataset
for sample in ds["train"]:
    room_instances = np.array(sample["room_instances"])
    interior_mask = np.array(sample["interior_mask"])
    # ... your processing here

# Color value -> class name mapping
ROOM_INSTANCE_COLOR_MAP = {
    0: "living room",
    7: "master room_0",
    15: "master room_1",
    22: "master room_2",
    30: "master room_3",
    37: "master room_4",
    45: "kitchen_0",
    52: "kitchen_1",
    60: "bathroom_0",
    67: "bathroom_1",
    75: "bathroom_2",
    82: "dining room_0",
    90: "dining room_1",
    97: "child room_0",
    105: "child room_1",
    112: "child room_2",
    120: "study room_0",
    127: "study room_1",
    135: "study room_2",
    142: "second room_0",
    150: "second room_1",
    157: "second room_2",
    165: "second room_3",
    172: "guest room_0",
    180: "guest room_1",
    187: "guest room_2",
    195: "balcony_0",
    202: "balcony_1",
    210: "balcony_2",
    217: "balcony_3",
    225: "entrance",
    232: "storage_0",
    240: "storage_1",
    247: "storage_2",
    255: "external area",
}

License

Please refer to the original rPlan dataset license for usage terms.