Update README.md

README.md

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----
-license: mit
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+---
+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)