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.