Nesting Tasks Dataset for 2D-Nesting Efficiency Estimation

Nesting efficiency dataset

This is the raw dataset associated with the paper “Graph Neural Networks Comparison for 2D-Nesting Efficiency Estimation”, by C.Lallier, L. Vézard, B. Pinaud and G. Blin, 2022. Consisting of 100,000 nesting tasks.

Usage:

The files are: tasks.gz, parts.gz, constraints.gz, and shapes.gz. They are in PICKLE file format version 5 with a gzip compression. Example to load a file :

import pandas as pd
tasks = pd.read_pickle('tasks.gz')

Description:

Tasks.gz file contains nestings high-level descriptors. It is composed of the following columns:

Column
Type
Description

efficiency
float
The variable to predict (label). Given in % 

duration
integer
input data. The nesting algorithm convergence time. Given in s.

sheet_width
integer
input data. The width of the nesting area. Given in m-4

sheet_length
integer
input data. Facultative. The height of the nesting area. Given in m-4

sheet_type
integer
input data. Kind of the nesting.

tasks_index
integer
Generated data. Join key between tables.

is_train, is_val, is_test
boolean
Generated data. Can be used as mask for the train, val and test subsets.

Parts.gz contains description of the parts to be nested : 

Column
Type
Description

tasks_index
integer
Reference to the join key from the Task table. 

parts_id
integer
Generated part id.

shape_hash
integer
Reference to the hash of the part's shape, join key from the Shape table.

Shapes.gz is the description of the shapes of the parts to be nested : 

Column
Type
Description

shape_hash
integer
Generated data. Join key between tables.

raw
list of integers
List of x, y tuples for each point. Unit is m-4

sizes
list of integers
List of sub-shapes sizes. 

Constraints.gz describes constraints and their parameters:

Column
Type
Description

type
string
Generated constraint type.

tasks_index
integer
Reference to the join key from the Task table.

parts_1, parts_2
list of integers
References to the parts_id from the Parts table.  

p1_x, p1_y and p2_x, p2_y
list of floats
Input data. Origin position (x, y) of the constraint on parts. For each part of the constraint.

r1_start, r1_end, r1_flip_x
list of floats
Input data. Rotation (start, end, and flip_x) parameters of the constraint. Multiple ranges accepted.

y_min, y_max
list of floats
Input data. Range from (y_min, y_max). Multiple ranges accepted.

x_offset, y_offset, motif_order, x_alignment_type, y_alignment_type, proximity_type, max_distance, groups_relative_orientation, is_frozen

float
Input data. Other constraint parameters.