Update README.md

README.md

@@ -3,7 +3,7 @@ license: cc-by-4.0
 ---
 # MapPool
 
-This large corpus contains URLs, textual descriptions, embeddings of 75 million potential maps. It has been derived from the [CommonPool  dataset](https://huggingface.co/datasets/mlfoundations/datacomp_xlarge) from [DataComp](https://www.datacomp.ai/). The MapPool dataset may help to train resource-intensive architectures like Transformers or Diffusion Models in order to establish foundation models specialized on maps.
+This repository contains URLs, textual descriptions, embeddings of 75 million potential maps. It has been derived from the [CommonPool  dataset](https://huggingface.co/datasets/mlfoundations/datacomp_xlarge) from [DataComp](https://www.datacomp.ai/). The MapPool dataset may help to train resource-intensive architectures like Transformers or Diffusion Models in order to establish foundation models specialized on maps.
 
 ## How is the data structured?
 
@@ -36,9 +36,9 @@ df = pd.read_parquet("<file_name>.parquet")
 ```
 The pyarrow or fastparquet library is required additionally.
 
-## How can the images be downloaded?
+## How can the map images be downloaded?
 
-You can download the images with [img2dataset](https://github.com/rom1504/img2dataset).
+You can download the map images with [img2dataset](https://github.com/rom1504/img2dataset).
 ```
 from img2dataset import download