metadata
license: mit
tags:
- MAPF
pretty_name: MAPF-GPT
size_categories:
- 100M<n<1B
Dataset Card for Dataset Name
This dataset contains 1 billion observation-action pairs to clone the behavior of LaCAM approach to solve MAPF problem via transformer (GPT) model.
Dataset Details
- Curated by: Anton Andreychuk (@aandreychuk), Alexey Skrynnik (@tviskaron)
- License: MIT
- Repository: GitHub
- Model: MAPF-GPT
- Paper: ArXiv
Dataset Structure
Dataset contains train
and validation
parts.
train
part contains 1,000 * 2^20 obsevation-action pairs. They are divided into 500.arrow
files.validation
part contains 2^20 observation-action pairs. They are saved into a single.arrow
file. Dataset requires 256 GB of disk space.
More details about creation of the dataset, the source data, the structure of observation, etc. are provided in the paper