---
license: mit
tags:
- MAPF
pretty_name: MAPF-GPT
size_categories:
- 100M<n<1B
---
# Dataset Card for Dataset Name

<!-- Provide a quick summary of the dataset. -->

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](https://huggingface.co/aandreychuk/)), Alexey Skrynnik ([@tviskaron](https://huggingface.co/tviskaron/))
- **License:** MIT
- **Repository:** [GitHub](https://github.com/Cognitive-AI-Systems/MAPF-GPT)
- **Model:** [MAPF-GPT](https://huggingface.co/aandreychuk/MAPF-GPT/tree/main)
- **Paper:** [ArXiv](https://arxiv.org/abs/2409.00134)

## 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](https://arxiv.org/abs/2409.00134)