Update README.md

README.md

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 # Global Streetscapes
 
-Repository for the tabular portion (346 features) of the [Global Streetscapes dataset project](https://ual.sg/project/global-streetscapes/) by the [Urban Analytics Lab (UAL)](https://ual.sg/) at the National University of Singapore (NUS).
+Repository for the tabular portion of the [Global Streetscapes dataset project](https://ual.sg/project/global-streetscapes/) by the [Urban Analytics Lab (UAL)](https://ual.sg/) at the National University of Singapore (NUS).
 
-This repository has a total size of about 63G (37G for `data/`, 23G for `manual_labels/`, and 2.8G for `models/`). Please make sure your device has sufficient storage if you are downloading the entire repo.
+Content breakdown:
+* `data/` (37 GB)
+  * 21 `csv` files with 346 unique features in total and 10 million rows each to characterise the 10 million street-level images in our dataset
+* `manual_labels/` (23 GB)
+  * `train/`
+    * 8 `csv` files of manual labels for training computer vision models to classify 8 different [contextual characteristics](https://github.com/ualsg/global-streetscapes?tab=readme-ov-file#manually-labelled-subset-for-benchmarking) of a street view image, along with other metadata such as the image's location, city, file path etc. 
+  * `test/`
+    * 8 `csv` files of manual labels for model testing, along with other metadata such as the image's location, city, file path etc.
+  * `img/`
+    * 7 `tar.gz` files containing all images used for training and testing
+* `models/` (2.8 GB)
+  * 8 `ckpt` files storing the trained models
+* `cities688.csv` contains basic information for the 688 cities included in the dataset, such as population, continent, image count etc.
+* `info.csv` overviews the content of each `csv` file in `/data` and explains the 346 features 
 
-You can follow the code and documentation in our [GitHub repo](https://github.com/ualsg/global-streetscapes) to download the image files (total 10+ Million images, ~6TB) from their original sources as you need.
+This repository has a total size of about 62+ GB. Please make sure your device has sufficient storage especially if you are downloading the entire repo.
+
+Please follow this [guide](https://huggingface.co/docs/huggingface_hub/guides/download) from huggingface for download instructions. Please avoid using 'git clone' to download the repo as Git stores the files twice and will double the disk space usage to 124+ GB.
+
+To download the imagery portion (total 10 Million images, ~6TB), you can follow the code and documentation in our [GitHub repo](https://github.com/ualsg/global-streetscapes).
 Our [Wiki](https://github.com/ualsg/global-streetscapes/wiki/2-Download-images) also contains instructions and demo on how to filter the dataset for a subset of data of your interest and download the image files for them.
 
 Read more about this project on the [project website](https://ual.sg/project/global-streetscapes/), which includes an overview of the project together with the background, [paper](https://www.sciencedirect.com/science/article/pii/S0924271624002612), and FAQ.